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Applied Technologies [[electronic resource] ] : First International Conference, ICAT 2019, Quito, Ecuador, December 3–5, 2019, Proceedings, Part III / / edited by Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Pablo Torres-Carrión, Sergio Montes León, Guillermo Pizarro Vásquez, Benjamin Durakovic
Applied Technologies [[electronic resource] ] : First International Conference, ICAT 2019, Quito, Ecuador, December 3–5, 2019, Proceedings, Part III / / edited by Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Pablo Torres-Carrión, Sergio Montes León, Guillermo Pizarro Vásquez, Benjamin Durakovic
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XVIII, 487 p. 334 illus., 276 illus. in color.)
Disciplina 005.7
Collana Communications in Computer and Information Science
Soggetto topico Computers
Information Systems and Communication Service
ISBN 3-030-42531-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Security -- Communication -- Electronics -- e-Learning -- e-Government -- e-Participation. .
Record Nr. UNINA-9910410036203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied Technologies [[electronic resource] ] : First International Conference, ICAT 2019, Quito, Ecuador, December 3–5, 2019, Proceedings, Part I / / edited by Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Pablo Torres-Carrión, Sergio Montes León, Guillermo Pizarro Vásquez, Benjamin Durakovic
Applied Technologies [[electronic resource] ] : First International Conference, ICAT 2019, Quito, Ecuador, December 3–5, 2019, Proceedings, Part I / / edited by Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Pablo Torres-Carrión, Sergio Montes León, Guillermo Pizarro Vásquez, Benjamin Durakovic
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XXVIII, 497 p. 243 illus., 196 illus. in color.)
Disciplina 005.7
Collana Communications in Computer and Information Science
Soggetto topico Computers
Computer communication systems
Software engineering
Architecture, Computer
Coding theory
Information theory
Artificial intelligence
Information Systems and Communication Service
Computer Communication Networks
Software Engineering
Computer System Implementation
Coding and Information Theory
Artificial Intelligence
ISBN 3-030-42517-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910410036403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied Technologies [[electronic resource] ] : First International Conference, ICAT 2019, Quito, Ecuador, December 3–5, 2019, Proceedings, Part II / / edited by Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Pablo Torres-Carrión, Sergio Montes León, Guillermo Pizarro Vásquez, Benjamin Durakovic
Applied Technologies [[electronic resource] ] : First International Conference, ICAT 2019, Quito, Ecuador, December 3–5, 2019, Proceedings, Part II / / edited by Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Pablo Torres-Carrión, Sergio Montes León, Guillermo Pizarro Vásquez, Benjamin Durakovic
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XX, 669 p. 389 illus., 325 illus. in color.)
Disciplina 005.7
Collana Communications in Computer and Information Science
Soggetto topico Computers
Architecture, Computer
Machine learning
Computer communication systems
Optical data processing
Application software
Information Systems and Communication Service
Computer System Implementation
Machine Learning
Computer Communication Networks
Computer Imaging, Vision, Pattern Recognition and Graphics
Computer Applications
ISBN 3-030-42520-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part II -- Intelligent Systems -- Evaluation of WhatsApp to Promote Collaborative Learning in the Use of Software in University Professionals -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Materials -- 2.2 Method -- 3 Results -- 3.1 Results of the Questionnaire -- 3.2 Results Obtained in WhatsApp Statistics -- 4 Discussions and Conclusions -- References -- Deep Learning for Weather Classification from a Meteorological Device -- 1 Introduction -- 2 Previous Works -- 3 Materials and Method -- 3.1 Requirements -- 3.2 Method -- 4 Development and Experiments -- 4.1 Architecture Design -- 4.2 Dataset -- 4.3 Data Comparison -- 4.4 Classification Algorithms -- 4.5 Experiments -- 4.6 Analysis of Results -- 5 Conclusions and Future Work -- References -- Resource Management Strategy in Case of Disaster Based on Queuing Theory -- Abstract -- 1 Introduction -- 2 Disaster Management -- 3 Queuing Theory Applied to Disaster Management -- 4 Proposed Algorithm for Management of the Disaster Attention and Collection Center (DACC) -- 5 Testing -- 6 Conclusions -- References -- Application of Techniques Based on Artificial Intelligence for Predicting the Consumption of Drugs and Substances. A Systematic Mapping Review -- Abstract -- 1 Introduction -- 1.1 Theoretical Context of Fields of Knowledge -- 1.2 Previous Literature Reviews -- 2 Methodology -- 2.1 Research Questions -- 2.2 Inclusion, Exclusion and Quality Criteria -- 2.3 Semantic Search Structure -- 3 Results -- 3.1 RQ1: How Many Studies are in the WOS and Scopus Databases from 2015 to 2019? -- 3.2 RQ2: What are the Papers with More Cites? -- 3.3 RQ3. What is the Geographical Distribution of the Authors? -- 3.4 RQ4: What are the Journals with More Publications on This Line of Research? -- 3.5 RQ5: In What Contexts are These Studies Developed?.
3.6 RQ6: What are the Main Topics Addressed in This Line of Research? -- 4 Conclusions -- References -- Generating Individual Gait Kinetic Patterns Using Machine Learning -- 1 Introduction -- 2 Material and Method -- 2.1 Dataset -- 2.2 Baseline -- 2.3 Input and Output -- 2.4 Data Preparation -- 2.5 Feedforward Neural Network -- 2.6 Train -- 2.7 Test -- 2.8 Evaluation Metrics -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Knee Injured Recovery Analysis Using Extreme Learning Machine -- Abstract -- 1 Introduction -- 2 Material and Method -- 2.1 ML Algorithms for Gait Analysis -- 2.2 Indices for Gait Analysis -- 2.3 Data Collection -- 2.4 Generation of Knee Joint Pattern Using ELM -- 2.5 Patterns Comparison -- 3 Results -- 4 Discussion -- 5 Conclusions -- Compliance with Ethical Standards -- References -- Driving Mode Estimation Model Based in Machine Learning Through PID's Signals Analysis Obtained From OBD II -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Experimental Overview -- 2.2 OBD-II Data Acquisition Though Data Logger Device -- 2.3 Signal Filtering -- 3 Results -- 3.1 Experimentation Results -- 3.2 Machine Learning Architectures Application -- 4 Conclusions -- Acknowledgment -- References -- Deep Learning Methods in Natural Language Processing -- Abstract -- 1 Introduction -- 2 Distributed Representations of Words -- 3 Word2Vec -- 3.1 Skip-Gram Network Architecture -- 3.2 Hidden Layer -- 3.3 Word2Vec - Output Layer -- 3.4 Negative Sampling -- 4 Recurrent Neural Networks (RNN) -- 4.1 Long Term Dependency Problem -- 4.2 Long Short Term Memory (LSTM) Networks -- 4.3 Gated Recurrent Unit (GRU) -- 4.4 Dropout -- 4.5 Bidirectional LSTM (BiLSTM) -- 5 Convolutional Neural Networks (CNN) for Language Tasks -- 5.1 Convolution Function -- 5.2 Pooling Function -- 5.3 Convolutional Neural Networks in NLP.
6 Generalized Language Models (GLM) -- 6.1 ULMFiT [9]/MultiFiT [10] -- 6.2 BERT/GPT-2 - Transformer Model -- 7 Conclusions -- References -- Comparison of Attenuation Coefficient Estimation in High Intensity Focused Ultrasound Therapy for Cancer Treatment by Levenberg Marquardt and Gauss-Newton Methods -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Levenberg Marquardt Method -- 2.2 Gauss-Newton Method -- 3 Results and Discussions -- 4 Conclusions -- Disclosure Statement -- References -- Machine Learning for Optimizing Technological Properties of Wood Composite Filament-Timberfill Fabricated by Fused Deposition Modeling -- Abstract -- 1 Introduction -- 1.1 Additive Manufacturing: Fused Deposition Modelling -- 1.2 Computational Intelligence: Machine Learning -- 2 Material and Method -- 2.1 Material and Sample Preparation -- 2.2 Design of Experiments -- 2.3 Machine Learning Algorithm: ANFIS -- 3 Results -- 3.1 Experimental Results -- 3.2 ANFIS Results -- 4 Discussions -- 4.1 Experimental Results -- 4.2 ANFIS Results -- 5 Conclusions -- Acknowledgements -- References -- Automated Systems for Detecting Volcano-Seismic Events Using Different Labeling Techniques -- 1 Introduction -- 2 Seismic-Signal Catalogs -- 2.1 Original Data-Set -- 2.2 STA/LTA -- 3 Seismic-Event Detector Based on Machine Learning -- 3.1 Pre-processing -- 3.2 Labeling -- 3.3 Feature Extraction -- 3.4 Machine Learning Classifiers -- 4 Results -- 4.1 Parameter Space Study -- 4.2 Artificial Neural Networks -- 4.3 Support Vector Machines -- 4.4 Overall Performance -- 5 Conclusions -- References -- Fraud Prediction in Smart Supply Chains Using Machine Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Overview of Machine Learning Algorithms for Fraud Prediction -- 3.1 Rpart Method -- 3.2 C5.0 Algorithm -- 3.3 Random Forest Model -- 3.4 Support Vector Machine (SVM).
4 Proposed Approach -- 4.1 Work Environment -- 4.2 Data Source -- 4.3 Processing of Data Set -- 4.4 Dimensionality Reduction -- 4.5 Machine Learning Algorithms Application -- 5 Experimental Results -- 6 Discussion -- 7 Conclusions and Perspectives -- References -- Selection of Mental Tasks for Brain-Computer Interfaces Using NASA-TLX Index -- Abstract -- 1 Introduction -- 1.1 Mental Workload -- 1.2 Mental Workload Index -- 2 Materials and Methods -- 2.1 Equipment Description -- 2.2 Description of Users -- 2.3 Pre-processing -- 2.4 Selection Based on Silhoutt's Distance -- 2.5 Performance Metrics -- 2.6 Description of Mental Tasks -- 2.7 Active Learning -- 3 Results -- 4 Conclusions and Discussions -- References -- Algorithms for the Management of Electrical Demand Using a Domotic System with Classification of Electrical Charges -- Abstract -- 1 Introduction -- 2 State of the Art -- 3 Materials and Methods/Methodology -- 3.1 Embedded System -- 3.2 Electrical Characteristics -- 3.3 Learning Machines -- 3.4 Implementation of the Load Characterization System on the Embedded Platform -- 3.5 Implementation of Control Algorithms -- 4 Results and Discussion -- 5 Conclusions -- References -- Cluster Analysis for Abstemious Characterization Based on Psycho-Social Information -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Cluster Analysis -- 3 Results -- 4 Discussion -- 5 Conclusions -- Acknowledgement -- References -- Toward Automatic and Remote Monitoring of the Pain Experience: An Internet of Things (IoT) Approach -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Physiological Parameters -- 2.2 Network Protocols -- 2.3 Data Acquisition and Preprocessing -- 2.4 Data Transmission and Protocol Implementations -- 2.5 Performance Indexes and Testing Methods -- 3 Results and Discussion -- 4 Conclusion -- References.
Enterprise Architecture an Approach to the Development of IoT Services Oriented to Building Management -- 1 Introduction -- 2 Related Literature -- 3 Methodology of System Design -- 3.1 Defining Context of the Problem -- 3.2 Architecture Design -- 3.3 Architecture Implementation -- 4 Case of Study -- 5 Implementation of Proposed Methodology -- 5.1 Definition of Problem Context -- 5.2 Architecture Design -- 5.3 Architecture Implementation -- 6 Conclusions -- References -- Characterization of Functions Using Artificial Intelligence to Reproduce Complex Systems Behavior -- Abstract -- 1 Introduction -- 2 Methodology for Characterizing Functions of Order 2 Using TSK to Reproduce Cardiac PQRST Complex -- 2.1 Theoretical Framework -- 2.2 Standardization of Data -- 2.3 Structuring Fuzzy Inference System -- 3 Results and Discussions -- 4 Conclusions -- References -- Snake Hunting System Supplied with Solar Energy Based on Cages Installed in the Jungle for Strictly Curative Purposes, Promoting Ancestral Knowledge, Natural Medicine and Indigenous Cultural Products from Rural Areas -- Abstract -- 1 Introduction -- 2 Location of Research -- 3 Mathematical Modeling -- 3.1 Photovoltaic System -- 4 Blocks Diagram -- 5 Results and Discussions -- References -- SMCS: Automatic Real-Time Classification of Ambient Sounds, Based on a Deep Neural Network and Mel Frequency Cepstral Coefficients -- Abstract -- 1 Introduction -- 1.1 Preliminary -- 2 Material and Method -- 2.1 Deep Neural Network (DNN) -- 2.2 Data Normalization -- 2.3 Extraction of MFCC -- 3 Results -- 4 Discussions -- 5 Conclusions -- References -- Artificial Intelligence Techniques to Detect and Prevent Corruption in Procurement: A Systematic Literature Review -- Abstract -- 1 Introduction -- 1.1 Related Systematic Review of Literature -- 2 Method -- 2.1 Method for SLR -- 2.2 Research Questions.
2.3 Quality Inclusion and Exclusion Protocols.
Record Nr. UNINA-9910410036303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied Technologies [[electronic resource] ] : First International Conference, ICAT 2019, Quito, Ecuador, December 3–5, 2019, Proceedings, Part I / / edited by Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Pablo Torres-Carrión, Sergio Montes León, Guillermo Pizarro Vásquez, Benjamin Durakovic
Applied Technologies [[electronic resource] ] : First International Conference, ICAT 2019, Quito, Ecuador, December 3–5, 2019, Proceedings, Part I / / edited by Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Pablo Torres-Carrión, Sergio Montes León, Guillermo Pizarro Vásquez, Benjamin Durakovic
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XXVIII, 497 p. 243 illus., 196 illus. in color.)
Disciplina 005.7
Collana Communications in Computer and Information Science
Soggetto topico Computers
Computer communication systems
Software engineering
Architecture, Computer
Coding theory
Information theory
Artificial intelligence
Information Systems and Communication Service
Computer Communication Networks
Software Engineering
Computer System Implementation
Coding and Information Theory
Artificial Intelligence
ISBN 3-030-42517-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996465450403316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Applied Technologies [[electronic resource] ] : First International Conference, ICAT 2019, Quito, Ecuador, December 3–5, 2019, Proceedings, Part II / / edited by Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Pablo Torres-Carrión, Sergio Montes León, Guillermo Pizarro Vásquez, Benjamin Durakovic
Applied Technologies [[electronic resource] ] : First International Conference, ICAT 2019, Quito, Ecuador, December 3–5, 2019, Proceedings, Part II / / edited by Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Pablo Torres-Carrión, Sergio Montes León, Guillermo Pizarro Vásquez, Benjamin Durakovic
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XX, 669 p. 389 illus., 325 illus. in color.)
Disciplina 005.7
Collana Communications in Computer and Information Science
Soggetto topico Computers
Architecture, Computer
Machine learning
Computer communication systems
Optical data processing
Application software
Information Systems and Communication Service
Computer System Implementation
Machine Learning
Computer Communication Networks
Computer Imaging, Vision, Pattern Recognition and Graphics
Computer Applications
ISBN 3-030-42520-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part II -- Intelligent Systems -- Evaluation of WhatsApp to Promote Collaborative Learning in the Use of Software in University Professionals -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Materials -- 2.2 Method -- 3 Results -- 3.1 Results of the Questionnaire -- 3.2 Results Obtained in WhatsApp Statistics -- 4 Discussions and Conclusions -- References -- Deep Learning for Weather Classification from a Meteorological Device -- 1 Introduction -- 2 Previous Works -- 3 Materials and Method -- 3.1 Requirements -- 3.2 Method -- 4 Development and Experiments -- 4.1 Architecture Design -- 4.2 Dataset -- 4.3 Data Comparison -- 4.4 Classification Algorithms -- 4.5 Experiments -- 4.6 Analysis of Results -- 5 Conclusions and Future Work -- References -- Resource Management Strategy in Case of Disaster Based on Queuing Theory -- Abstract -- 1 Introduction -- 2 Disaster Management -- 3 Queuing Theory Applied to Disaster Management -- 4 Proposed Algorithm for Management of the Disaster Attention and Collection Center (DACC) -- 5 Testing -- 6 Conclusions -- References -- Application of Techniques Based on Artificial Intelligence for Predicting the Consumption of Drugs and Substances. A Systematic Mapping Review -- Abstract -- 1 Introduction -- 1.1 Theoretical Context of Fields of Knowledge -- 1.2 Previous Literature Reviews -- 2 Methodology -- 2.1 Research Questions -- 2.2 Inclusion, Exclusion and Quality Criteria -- 2.3 Semantic Search Structure -- 3 Results -- 3.1 RQ1: How Many Studies are in the WOS and Scopus Databases from 2015 to 2019? -- 3.2 RQ2: What are the Papers with More Cites? -- 3.3 RQ3. What is the Geographical Distribution of the Authors? -- 3.4 RQ4: What are the Journals with More Publications on This Line of Research? -- 3.5 RQ5: In What Contexts are These Studies Developed?.
3.6 RQ6: What are the Main Topics Addressed in This Line of Research? -- 4 Conclusions -- References -- Generating Individual Gait Kinetic Patterns Using Machine Learning -- 1 Introduction -- 2 Material and Method -- 2.1 Dataset -- 2.2 Baseline -- 2.3 Input and Output -- 2.4 Data Preparation -- 2.5 Feedforward Neural Network -- 2.6 Train -- 2.7 Test -- 2.8 Evaluation Metrics -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Knee Injured Recovery Analysis Using Extreme Learning Machine -- Abstract -- 1 Introduction -- 2 Material and Method -- 2.1 ML Algorithms for Gait Analysis -- 2.2 Indices for Gait Analysis -- 2.3 Data Collection -- 2.4 Generation of Knee Joint Pattern Using ELM -- 2.5 Patterns Comparison -- 3 Results -- 4 Discussion -- 5 Conclusions -- Compliance with Ethical Standards -- References -- Driving Mode Estimation Model Based in Machine Learning Through PID's Signals Analysis Obtained From OBD II -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Experimental Overview -- 2.2 OBD-II Data Acquisition Though Data Logger Device -- 2.3 Signal Filtering -- 3 Results -- 3.1 Experimentation Results -- 3.2 Machine Learning Architectures Application -- 4 Conclusions -- Acknowledgment -- References -- Deep Learning Methods in Natural Language Processing -- Abstract -- 1 Introduction -- 2 Distributed Representations of Words -- 3 Word2Vec -- 3.1 Skip-Gram Network Architecture -- 3.2 Hidden Layer -- 3.3 Word2Vec - Output Layer -- 3.4 Negative Sampling -- 4 Recurrent Neural Networks (RNN) -- 4.1 Long Term Dependency Problem -- 4.2 Long Short Term Memory (LSTM) Networks -- 4.3 Gated Recurrent Unit (GRU) -- 4.4 Dropout -- 4.5 Bidirectional LSTM (BiLSTM) -- 5 Convolutional Neural Networks (CNN) for Language Tasks -- 5.1 Convolution Function -- 5.2 Pooling Function -- 5.3 Convolutional Neural Networks in NLP.
6 Generalized Language Models (GLM) -- 6.1 ULMFiT [9]/MultiFiT [10] -- 6.2 BERT/GPT-2 - Transformer Model -- 7 Conclusions -- References -- Comparison of Attenuation Coefficient Estimation in High Intensity Focused Ultrasound Therapy for Cancer Treatment by Levenberg Marquardt and Gauss-Newton Methods -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Levenberg Marquardt Method -- 2.2 Gauss-Newton Method -- 3 Results and Discussions -- 4 Conclusions -- Disclosure Statement -- References -- Machine Learning for Optimizing Technological Properties of Wood Composite Filament-Timberfill Fabricated by Fused Deposition Modeling -- Abstract -- 1 Introduction -- 1.1 Additive Manufacturing: Fused Deposition Modelling -- 1.2 Computational Intelligence: Machine Learning -- 2 Material and Method -- 2.1 Material and Sample Preparation -- 2.2 Design of Experiments -- 2.3 Machine Learning Algorithm: ANFIS -- 3 Results -- 3.1 Experimental Results -- 3.2 ANFIS Results -- 4 Discussions -- 4.1 Experimental Results -- 4.2 ANFIS Results -- 5 Conclusions -- Acknowledgements -- References -- Automated Systems for Detecting Volcano-Seismic Events Using Different Labeling Techniques -- 1 Introduction -- 2 Seismic-Signal Catalogs -- 2.1 Original Data-Set -- 2.2 STA/LTA -- 3 Seismic-Event Detector Based on Machine Learning -- 3.1 Pre-processing -- 3.2 Labeling -- 3.3 Feature Extraction -- 3.4 Machine Learning Classifiers -- 4 Results -- 4.1 Parameter Space Study -- 4.2 Artificial Neural Networks -- 4.3 Support Vector Machines -- 4.4 Overall Performance -- 5 Conclusions -- References -- Fraud Prediction in Smart Supply Chains Using Machine Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Overview of Machine Learning Algorithms for Fraud Prediction -- 3.1 Rpart Method -- 3.2 C5.0 Algorithm -- 3.3 Random Forest Model -- 3.4 Support Vector Machine (SVM).
4 Proposed Approach -- 4.1 Work Environment -- 4.2 Data Source -- 4.3 Processing of Data Set -- 4.4 Dimensionality Reduction -- 4.5 Machine Learning Algorithms Application -- 5 Experimental Results -- 6 Discussion -- 7 Conclusions and Perspectives -- References -- Selection of Mental Tasks for Brain-Computer Interfaces Using NASA-TLX Index -- Abstract -- 1 Introduction -- 1.1 Mental Workload -- 1.2 Mental Workload Index -- 2 Materials and Methods -- 2.1 Equipment Description -- 2.2 Description of Users -- 2.3 Pre-processing -- 2.4 Selection Based on Silhoutt's Distance -- 2.5 Performance Metrics -- 2.6 Description of Mental Tasks -- 2.7 Active Learning -- 3 Results -- 4 Conclusions and Discussions -- References -- Algorithms for the Management of Electrical Demand Using a Domotic System with Classification of Electrical Charges -- Abstract -- 1 Introduction -- 2 State of the Art -- 3 Materials and Methods/Methodology -- 3.1 Embedded System -- 3.2 Electrical Characteristics -- 3.3 Learning Machines -- 3.4 Implementation of the Load Characterization System on the Embedded Platform -- 3.5 Implementation of Control Algorithms -- 4 Results and Discussion -- 5 Conclusions -- References -- Cluster Analysis for Abstemious Characterization Based on Psycho-Social Information -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Cluster Analysis -- 3 Results -- 4 Discussion -- 5 Conclusions -- Acknowledgement -- References -- Toward Automatic and Remote Monitoring of the Pain Experience: An Internet of Things (IoT) Approach -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Physiological Parameters -- 2.2 Network Protocols -- 2.3 Data Acquisition and Preprocessing -- 2.4 Data Transmission and Protocol Implementations -- 2.5 Performance Indexes and Testing Methods -- 3 Results and Discussion -- 4 Conclusion -- References.
Enterprise Architecture an Approach to the Development of IoT Services Oriented to Building Management -- 1 Introduction -- 2 Related Literature -- 3 Methodology of System Design -- 3.1 Defining Context of the Problem -- 3.2 Architecture Design -- 3.3 Architecture Implementation -- 4 Case of Study -- 5 Implementation of Proposed Methodology -- 5.1 Definition of Problem Context -- 5.2 Architecture Design -- 5.3 Architecture Implementation -- 6 Conclusions -- References -- Characterization of Functions Using Artificial Intelligence to Reproduce Complex Systems Behavior -- Abstract -- 1 Introduction -- 2 Methodology for Characterizing Functions of Order 2 Using TSK to Reproduce Cardiac PQRST Complex -- 2.1 Theoretical Framework -- 2.2 Standardization of Data -- 2.3 Structuring Fuzzy Inference System -- 3 Results and Discussions -- 4 Conclusions -- References -- Snake Hunting System Supplied with Solar Energy Based on Cages Installed in the Jungle for Strictly Curative Purposes, Promoting Ancestral Knowledge, Natural Medicine and Indigenous Cultural Products from Rural Areas -- Abstract -- 1 Introduction -- 2 Location of Research -- 3 Mathematical Modeling -- 3.1 Photovoltaic System -- 4 Blocks Diagram -- 5 Results and Discussions -- References -- SMCS: Automatic Real-Time Classification of Ambient Sounds, Based on a Deep Neural Network and Mel Frequency Cepstral Coefficients -- Abstract -- 1 Introduction -- 1.1 Preliminary -- 2 Material and Method -- 2.1 Deep Neural Network (DNN) -- 2.2 Data Normalization -- 2.3 Extraction of MFCC -- 3 Results -- 4 Discussions -- 5 Conclusions -- References -- Artificial Intelligence Techniques to Detect and Prevent Corruption in Procurement: A Systematic Literature Review -- Abstract -- 1 Introduction -- 1.1 Related Systematic Review of Literature -- 2 Method -- 2.1 Method for SLR -- 2.2 Research Questions.
2.3 Quality Inclusion and Exclusion Protocols.
Record Nr. UNISA-996465460303316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Applied Technologies [[electronic resource] ] : First International Conference, ICAT 2019, Quito, Ecuador, December 3–5, 2019, Proceedings, Part III / / edited by Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Pablo Torres-Carrión, Sergio Montes León, Guillermo Pizarro Vásquez, Benjamin Durakovic
Applied Technologies [[electronic resource] ] : First International Conference, ICAT 2019, Quito, Ecuador, December 3–5, 2019, Proceedings, Part III / / edited by Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Pablo Torres-Carrión, Sergio Montes León, Guillermo Pizarro Vásquez, Benjamin Durakovic
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XVIII, 487 p. 334 illus., 276 illus. in color.)
Disciplina 005.7
Collana Communications in Computer and Information Science
Soggetto topico Computers
Information Systems and Communication Service
ISBN 3-030-42531-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Security -- Communication -- Electronics -- e-Learning -- e-Government -- e-Participation. .
Record Nr. UNISA-996465465003316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Innovation and Research - Smart Technologies and Systems : Proceedings of the CI3 2023, Volume 2
Innovation and Research - Smart Technologies and Systems : Proceedings of the CI3 2023, Volume 2
Autore Vizuete Marcelo Zambrano
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (391 pages)
Altri autori (Persone) Botto-TobarMiguel
CasillasSonia
GonzalezCarina
SánchezCarlos
GomesGabriel
DurakovicBenjamin
Collana Lecture Notes in Networks and Systems Series
ISBN 9783031634376
9783031634369
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910869177003321
Vizuete Marcelo Zambrano  
Cham : , : Springer International Publishing AG, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Innovation and Research - Smart Technologies and Systems : Proceedings of the CI3 2023, Volume 1
Innovation and Research - Smart Technologies and Systems : Proceedings of the CI3 2023, Volume 1
Autore Vizuete Marcelo Zambrano
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (323 pages)
Altri autori (Persone) Botto-TobarMiguel
CasillasSonia
GonzalezCarina
SánchezCarlos
GomesGabriel
DurakovicBenjamin
Collana Lecture Notes in Networks and Systems Series
ISBN 9783031634345
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Smart Cities -- IoT Applied to Improve Production Controls in the Ecuadorian Floriculture Sector -- 1 Introduction -- 1.1 IoT as a Mechanism to Promote Precision Agriculture in Rose Production -- 1.2 Diseases and Pests that Affect the Cultivation of Roses -- 2 Materials and Methods -- 2.1 Database and Variables -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Transesterification of Waste Oils for Sustainable Transport in the Tourism Sector -- 1 Introduction -- 2 Biodiesel -- 2.1 Raw Materials for the Production of Biodiesel -- 2.2 Use of Biodiesel in Internal Combustion Engines -- 2.3 Transesterification -- 3 Methodology -- 3.1 Property Analysis -- 4 Conclusions -- References -- LoRaWAN Applied to WSN as Support for Sustainable Agriculture in Rural Environments. Case Study: Pedro Moncayo Canton, Pichincha Province -- 1 Introduction -- 2 Methods -- 2.1 Hardware and Software Selection -- 2.2 Analysis of the Current Situation -- 2.3 Design of the System -- 2.4 Power Supply -- 2.5 Wireless Communication Design -- 2.6 Software Encoding of the System -- 3 Results and Discussion -- 3.1 Sensor Node Electrical Test -- 3.2 Information Collection, Data Reception and Presentation -- 3.3 Wireless Communication Testing -- 3.4 Airtime of Transmission -- 3.5 Spectral Analysis of LoRa Transmission -- 3.6 MQTT Protocol Analysis -- 4 Conclusions -- 5 Recommendations -- 6 Future Work -- References -- Artificial Intelligence, Towards the Diffusion of Cultural Tourism in the D.M. Quito -- 1 Introduction -- 1.1 Technological Disruption -- 2 Methods -- 2.1 Desing -- 2.2 Population and Sample -- 2.3 Instrument and Data Collection -- 3 Discussion -- 4 Conclusion -- References -- Real-Time Data Acquisition Based on IoT for Monitoring Autonomous Photovoltaic Systems -- 1 Introduction -- 2 Methodology.
2.1 Variable Measurement Process. -- 2.2 Data Acquisition and Sending -- 2.3 Data Processing -- 2.4 Results Visualization -- 3 Results -- 4 Conclusions -- References -- Georeferenced Maintenance Management of Public Lighting Systems Using IoT Devices -- 1 Introduction -- 1.1 Previous Works -- 2 Methodology -- 2.1 Sensors of the IoT Field Device -- 2.2 Acquisition of Data -- 2.3 Embedded System -- 2.4 Communication -- 2.5 Power Supply -- 2.6 Description of Software -- 3 Results and Discussion -- 4 Conclusion -- References -- Degradation of Synthetic Oils: Physicochemical Viscosity Tests -- 1 Introduction -- 2 Theoretical Framework -- 2.1 Lubricating Oils -- 2.2 Types of Lubricating Oils -- 2.3 Use of Lubricating Oils -- 2.4 Synthetic Oil for Diesel Engines -- 3 Method -- 3.1 Viscosity -- 3.2 Engine Category -- 3.3 Measurement of Wear Elements in the Lubricant -- 4 Analysis of Results -- 4.1 SAE 15W-40 Oil Properties -- 4.2 Infrared Oil Analysis -- 5 Discussion -- 5.1 Interpretation of the Wear of New 15W40 Oil -- 5.2 Mathematical Models - Tribology "Wear Coefficient" -- 6 Conclusion -- References -- CONNECTED Project. Connecting to the Disconnected -- 1 Introduction -- 2 Methodology -- 2.1 Architecture -- 2.2 Sizing, Implementation, and Functionality Testing of the System -- 3 Results and Functionality Test -- 4 Conclusions -- References -- Performance Analysis of Coherent and Non-coherent Detection Techniques in Chirp Spread Spectrum for Internet of Things Applications -- 1 Introduction -- 2 Chirp Spread Spectrum Concepts -- 3 Coherent and Non-coherent Detector in CSS -- 3.1 Coherent Detector -- 3.2 Non-coherent Detector -- 3.3 Quadrature Demodulation -- 4 Performance Results Comparisons -- 4.1 AWGN Channel -- 4.2 Frequency-Selective Channel -- 4.3 Rayleigh Channel -- 5 Conclusion -- References.
Exploring the Use of Blockchain for Academic Certificates: Development, Testing, and Deployment -- 1 Introduction -- 2 Ethereum and the Sepolia Network -- 2.1 Faucet in the Sepolia Network -- 3 Development Tools and Network Connection -- 3.1 Hardhat: A Development Framework -- 3.2 Alchemy: Connecting to the Sepolia Network -- 3.3 Metamask: Interacting with the Academic Certificate and Faucet -- 4 Academic Certificate Smart Contract: Functionality and Mechanisms -- 5 Results and Performance Metrics -- 5.1 Unitary Tests -- 5.2 Deployment Results and Verification on Alchemy and Etherscan -- 6 Conclusion -- References -- Designing a Water Level Measurement System to Monitor the Flow of Water from the Primary Catchment Source of Tulcán City Using LoRa Communication Technology -- 1 Introduction -- 2 Related Work -- 3 Development of the Water Level Monitoring System -- 3.1 System Design -- 3.2 System Block Diagram -- 3.3 System Architecture of the Water Level Monitoring System -- 3.4 Interconnection Diagrams -- 4 Results -- 4.1 Component Integration -- 4.2 Performance Tests -- 4.3 Testing of LoRa Wireless Communication -- 5 Conclusions -- References -- Innovation and Development -- A Voice-Based Emotion Recognition System Using Deep Learning Techniques -- 1 Introduction -- 2 Development -- 2.1 Obtaining Audio of Emotions -- 2.2 Signal Preprocessing -- 2.3 Feature Extraction -- 2.4 Preparation of Training Data -- 2.5 Neural Network Training -- 3 Results -- 4 Conclusions -- References -- Data Mining Applied to the HFC Network to Analyze the Availability of Telecommunication Services -- 1 Introduction -- 1.1 HFC Network Service Failures -- 2 Materials and Methods -- 2.1 Database and Resources -- 2.2 Methodology -- 3 Results -- 4 Conclusions -- References.
Optimization of the B10s1 Engine for Corsa with Adaptation of the Cylinder Head of a Spark-Ignition Engine and Validation on a Chassis Dynamometer to Verify Its Power -- 1 Introduction -- 2 Method -- 2.1 Applied Test Vehicle -- 2.2 Combustion Chamber (Cylinder Head) Features -- 2.3 Valve Mechanism System -- 2.4 Intake and Exhaust System of the Spark-Ignition Engine -- 2.5 Determination of the Developed Power -- 3 Results -- 3.1 Vehicle Power Without Modification of the Cylinder Head -- 3.2 Vehicle Power with the Cylinder Head Modification -- 3.3 Discussion of the Results on the Obtained Power -- 4 Conclusions -- References -- Analysis of the Reliability of the Calibration of a Camera Through the Knowledge of Its Extrinsic Parameters -- 1 Introduction -- 2 Methods -- 2.1 Pinhole Camera Model -- 2.2 Methods of Calibration -- 3 Results and Discussion -- 3.1 Description of the Experiments Performed -- 3.2 Tsai and Zhang Method for 2D -- 3.3 Tsai and Faugeras Method for 3D -- 4 Conclusions -- References -- Design and Construction of a Prosthetic Finger with Distal Phalanx Amputation -- 1 Introduction -- 2 Methodology -- 2.1 Materials -- 2.2 Calculation of Anthropometric Measures -- 2.3 Selection of the Mechanism -- 2.4 Calculation of Forces for Each Phalanx -- 2.5 Movement of the Phalangeal Mechanism. -- 2.6 Stress Analysis of Components -- 3 Results -- 3.1 Load Analysis Results -- 3.2 Costs Estimation -- 4 Conclusions -- References -- Vehicle Braking and Suspension Systems: Redesign of Preventive and Corrective Maintenance Processes in Automotive Workshops in Southern Quito -- 1 Introduction -- 2 Brake and Suspension System -- 2.1 Brakes -- 2.2 Suspension -- 2.3 Breakdowns in the Brake and Suspension System -- 3 Methodology -- 3.1 Statistical Analysis -- 3.2 Structural Design Analysis -- 3.3 Dimensioning of the Pneumatic and Hydraulic System.
4 Discussion and Results -- 5 Conclusions -- References -- Cylinder Head Tuning of a Spark-Ignition Engine and Validation on a Chassis Dynamometer to Verify Its Power -- 1 Introduction -- 2 Method -- 2.1 Applied Test Vehicle -- 2.2 Characteristics of the Cylinder Head for the Combustion Chamber Area -- 2.3 Valve Mechanism System -- 2.4 Intake and Exhaust System of the Spark-Ignition Engine -- 2.5 Determination of the Developed Power -- 3 Results -- 3.1 Vehicle Power Without Modification of the Cylinder Head -- 3.2 Vehicle Power with the Cylinder Head Modification -- 3.3 Discussion of the Results on the Obtained Power -- 4 Conclusions -- References -- Additive Manufacturing of the Acceleration Body of the Corsa Evolution Analyzing the Type of Meshing -- 1 Introduction -- 2 Additive Manufacturing -- 2.1 FMD (Fused Deposition Modeling) Printing -- 2.2 Filling 3D Printing -- 2.3 Materials for Additive Manufacturing -- 3 Methodology -- 3.1 DOE Experimental Design -- 3.2 Factorial Experimental Design -- 4 Results and Discussion -- 4.1 Results -- 4.2 Discussion -- 5 Conclusions -- References -- Analysis of Airborne Particles in Powder Coating Process -- 1 Introduction -- 2 Contamination -- 2.1 Air Pollution -- 2.2 Mechanical Processes -- 3 Methodology -- 3.1 Cyclone Dimensional Analysis -- 3.2 Factorial Experimental Design -- 4 Results and Discussion -- 5 Conclusions -- References -- Climatic Pattern Analysis Using Neural Networks in Smart Agriculture to Maximize Irrigation Efficiency in Grass Crops in Rural Areas of Ecuador -- 1 Introduction -- 2 Methods -- 2.1 Current Situation -- 2.2 System Design -- 2.3 Power Supply -- 2.4 System Encoding -- 2.5 Actuator Node -- 3 Results and Discussion -- 3.1 Electrical Test -- 3.2 Neural Network Prediction -- 3.3 Actuator Node Behavior -- 3.4 Water Consumption Analysis -- 3.5 Grass Crop Analysis -- 4 Conclusions.
5 Recommendations.
Record Nr. UNINA-9910869177503321
Vizuete Marcelo Zambrano  
Cham : , : Springer International Publishing AG, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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International Conference on Applied Technologies : 5th International Conference on Applied Technologies, ICAT 2023, Samborondon, Ecuador, November 22-24, 2023, Revised Selected Papers, Part II
International Conference on Applied Technologies : 5th International Conference on Applied Technologies, ICAT 2023, Samborondon, Ecuador, November 22-24, 2023, Revised Selected Papers, Part II
Autore Botto-Tobar Miguel
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (288 pages)
Altri autori (Persone) Zambrano VizueteMarcelo
Montes LeónSergio
Torres-CarriónPablo
DurakovicBenjamin
Collana Communications in Computer and Information Science Series
ISBN 3-031-58953-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part II -- Intelligent Systems -- Neural Network Model to Classify a Tweet According to Its Sentiment -- 1 Introduction -- 1.1 Current Status -- 2 Method -- 2.1 Data Selection -- 2.2 Data Preparation -- 2.3 Model Development -- 2.4 Model Training -- 3 Discussion of Results -- 3.1 Tweet Classification Model -- 3.2 Architecture of the Web Application -- 3.3 Model Evaluation -- 4 Conclusions -- References -- Virtual Assistant for the Registration of Clinical Histories Using Natural Language Processing in the Health Sector -- 1 Introduction -- 2 Related Works -- 3 Methods -- 3.1 Methodology -- 3.2 Integrated Architecture -- 3.3 Programming -- 3.4 Mobile Application Interface -- 4 Experiments and Results -- 4.1 Preparation Protocol -- 4.2 Definition of Indicators -- 4.3 Test Scenario -- 4.4 Evaluation of Indicators -- 5 Analysis and Discussion of Results -- 6 Conclusions -- References -- Physicochemical and Microbiological Characterization of Drinking Water from the Luz de América parish, Ecuador: Statistical Approach -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Area -- 2.2 Data Collection -- 2.3 Physicochemical and Microbiological Assays -- 2.4 Data Analysis -- 3 Results and Discussions -- 4 Conclusions -- References -- Machine Learning Models for Identifying Patterns in GNSS Meteorological Data -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Development of Animal Morphology Measurement Tool with Convolutional Neural Networks and Single-View Metrology Algorithms -- 1 Introduction -- 2 Theoretical Framework -- 2.1 Related Studies -- 3 Conceptual Framework -- 3.1 YOLO (You Only Look Once) -- 3.2 Trap Cameras -- 3.3 Single View Metrology Algorithms -- 4 Methodology -- 5 Development -- 5.1 Stage 1: Data Selection.
5.2 Stage 2: Data Preprocessing -- 5.3 Stage 3: Data Transformation -- 5.4 Stage 4: Data Integration -- 5.5 Stage 5: Implementation -- 6 Results -- 7 Conclusions -- References -- Rose Plant Disease Detection Using Image Processing and Machine Learning -- 1 Introduction -- 2 Literature Review -- 3 Steps to Detect Plant Disease -- 4 Techniques on Image Processing -- 5 Results and Discussion -- 6 Conclusion -- References -- A Fine-Tuned Transfer Learning Approach for Parkinson's Disease Detection on New Hand PD Dataset -- 1 Introduction -- 2 Literature Review -- 3 Dataset Description and Preprocessing -- 3.1 Dataset Description -- 3.2 Dataset Preprocessing -- 4 Methodology -- 4.1 Hardware and Memory Optimization -- 4.2 Model Training and Evaluation -- 5 Results and Discussion -- 6 Conclusion -- References -- Smart Guide for Pedestrian Traffic Light Status Identification -- 1 Introduction -- 2 Methodology -- 2.1 3D Modeling of Protective Structure -- 2.2 Operation of the Artificial Vision Algorithm Model -- 2.3 Development of the Dataset or Database -- 2.4 Training of the Artificial Neural Network -- 2.5 Object Detection Model -- 2.6 Image Classification Model -- 2.7 Voice Notifications -- 2.8 General Architecture of the Prototype -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Conversion of MRI into CT Images Using Novel Dual Generative Adversarial Model -- 1 Introduction -- 2 Background -- 3 Proposed Model -- 4 Experimental Result -- 4.1 PSNR and SSIM Index -- 4.2 Experimental Environment -- 4.3 Results -- 5 Conclusion -- References -- Accurate and Fast Segmentation of MRI Images Using Multibranch Residual Fusion Network -- 1 Introduction -- 2 Background -- 3 Proposed Method -- 3.1 Residual Matter Dense Particles -- 3.2 Residual Error Fusion Module -- 3.3 An Attention Multiplier Dispersed Throughout the Brain -- 4 Results.
4.1 Ablation Study -- 5 Conclusion -- References -- Voice Pathology Detection Demonstrates the Integration of AI and IoT in Smart Healthcare -- 1 Introduction -- 2 Background -- 2.1 Cyst -- 2.2 A Benign Growth on the Vocal Folds -- 2.3 Nodules -- 2.4 Paralysis -- 2.5 Sulcus -- 3 Proposed VPD System -- 4 Results -- 4.1 Database -- 5 Conclusion -- References -- Impact of AI Infused Leadership on Subordinate Employee's Job Satisfaction: A Study Across Select Successful IT Companies in Bengaluru City -- 1 Introduction -- 2 Review of Literature -- 2.1 AI Infused Leadership -- 2.2 Research Gap -- 2.3 Research Objectives -- 3 Research Methodology -- 4 Results and Discussion -- 4.1 Demographic Profile of the Respondents -- 4.2 Descriptive Statistics -- 4.3 Relationship Between AI Infused Leadership and Employee Job Satisfaction -- 5 Suggestions and Conclusions -- References -- Uncovering AI Potential Techniques for Infectious Disease: A Comprehensive Exploration of Surveying, Classifying, and Predicting Models -- 1 Introduction -- 2 Protocols for the Selection of Studies Related to Covid19 -- 2.1 Covid19, Machine Learning as Well as Deep Learning Methods -- 2.2 Machine Learning Methodologies -- 2.3 Deep Neural Network -- 2.4 Hybrid Approach Merging Deep Learning and Machine Learning -- 3 COVID 19 Datasets -- 4 Outcomes of the Study -- 5 Conclusions -- References -- A Survey: Detection of Heart-Related Disorders Using Machine Learning Approaches -- 1 Introduction -- 1.1 Angina -- 1.2 Coronary Heart Disease -- 1.3 Unstable Angina -- 1.4 Heart Failure -- 1.5 Heart Attack -- 1.6 Congenital Heart Conditions -- 2 The Used Techniques and Approaches -- 2.1 K - Nearest Neighbor -- 2.2 Support Vector Machine -- 2.3 Naïve Bayes -- 2.4 Decision Tree -- 2.5 Random Forest -- 3 Literature Review -- 4 Findings -- 5 Conclusion -- References.
Technological and Other Motivating Factors Behind Purchase Intention for Organic Processed Food -- 1 Introduction -- 2 Methodology -- 3 Research Objective -- 4 Factors Impacting Decisions to Buy Organic Processed Food -- 5 Technology as a Motivating Factors Behind Purchase Intention for Organic Processed Food -- 6 Discussion and Conclusion -- References -- Conversational AI-Based Technological Solution for Intelligent Customer Service -- 1 Introduction -- 2 Related Works -- 2.1 Conversational AI-Based Technological Solutions -- 2.2 Technologies that Support Development of Virtual Assistant -- 3 Method -- 3.1 Architecture of the Project for the Development -- 3.2 Benchmarking and Choosing Criteria of the Framework -- 3.3 Web Implementation -- 3.4 Virtual Assistant Implementation -- 3.5 Virtual Assistant Integration -- 4 Experimental Setting -- 5 Results -- 5.1 Usability Dimension -- 5.2 Functionality Dimension -- 5.3 Customer Satisfaction Dimension -- 6 Conclusion -- References -- Detecting the Use of Safety Helmets on Construction Sites -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Business Understanding -- 3.2 Data Understanding -- 3.3 Data Preparation -- 4 Proposed Work -- 4.1 Modeling -- 4.2 Evaluation -- 4.3 Deployment -- 5 Results and Discussion -- 6 Conclusions and Future Work -- References -- Preventing Diabetes: Substituting Processed Foods and Nutritional Chatbot Assistance -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data -- 2.2 Foods Clustering and Distance Matrix -- 2.3 Foods, Dietary Guidelines, and Users Knowledge Graph -- 2.4 FoodSub: System Architecture -- 2.5 Processed Foods Substitution Method and Recommendation -- 2.6 Nutritional Information Chatbot -- 3 Results and Discussion -- 3.1 Evaluation Participants -- 3.2 FoodSub: Usability Evaluation with SUS -- 3.3 Chatbot: Usability Evaluation with CUQ.
3.4 Expert Verification for Substitution Recommendations -- 4 Conclusions and Future Work -- References -- Attack Classification Using Machine Learning Techniques in Software-Defined Networking -- 1 Introduction -- 2 Literature Review -- 3 The Proposed Method -- 3.1 Data Collection -- 3.2 Data Preprocessing -- 3.3 Feature Selections -- 4 Evaluations and Experiments Results -- 4.1 Software and Hardware Specifications -- 4.2 Model Selection -- 4.3 Experiments Results -- 5 Conclusion -- References -- Classification of Toxic Comments on Social Networks Using Machine Learning -- 1 Introduction -- 2 Materials and Methods -- 2.1 Materials -- 2.2 Analytical Description -- 2.3 Methods -- 3 Results -- 3.1 Understanding the Business -- 3.2 Understanding the Data -- 3.3 Data Preparation -- 3.4 Modeling -- 3.5 Evaluation -- 3.6 Correlation Matrix -- 3.7 Evaluation of Validity -- 4 Discussion -- 5 Conclusions -- References -- Author Index.
Record Nr. UNINA-9910864188503321
Botto-Tobar Miguel  
Cham : , : Springer International Publishing AG, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
International Conference on Applied Technologies : 5th International Conference on Applied Technologies, ICAT 2023, Samborondon, Ecuador, November 22-24, 2023, Revised Selected Papers, Part I
International Conference on Applied Technologies : 5th International Conference on Applied Technologies, ICAT 2023, Samborondon, Ecuador, November 22-24, 2023, Revised Selected Papers, Part I
Autore Botto-Tobar Miguel
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (301 pages)
Altri autori (Persone) Zambrano VizueteMarcelo
Montes LeónSergio
Torres-CarriónPablo
DurakovicBenjamin
Collana Communications in Computer and Information Science Series
ISBN 3-031-58956-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Contents - Part III -- Intelligent Systems -- Mobile Application for Calorie Control Using Machine Learning -- 1 Introduction -- 2 Related Works -- 2.1 Machine Learning Algorithms -- 2.2 Similar Solutions -- 3 Material and Method -- 3.1 Data Preparation -- 3.2 SVM Model Training -- 3.3 Mobile Application Development -- 3.4 User Experimentation -- 3.5 Analysis of Experiment -- 4 Result and Discussion -- 4.1 Percentage of Caloric Recommendation Satisfaction (PCRS) -- 4.2 Percentage of Accepted Recommendations (PAR) -- 4.3 Percentage of Usage Satisfaction (PUS) -- 4.4 General Results -- 4.5 Discussion of the Results -- 5 Conclusions -- References -- Application of Machine Learning for Air Quality Analysis -- 1 Introduction -- 2 Materials and Methods -- 2.1 Problem Analysis -- 2.2 Understanding Data -- 2.3 Data Preparation -- 2.4 Machine Learning Design -- 2.5 Modeling -- 2.6 Model Implementation and Validation -- 3 Results -- 4 Discussion -- 5 Limitations and Future Work -- 6 Conclusion -- References -- Unsupervized Techniques to Identify Patterns in Gynecologic Information -- 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 2.2 Preprocessing -- 2.3 Algorithms -- 2.4 Metrics -- 2.5 Calculate the Number of Clusters -- 2.6 Tools -- 3 Results -- 3.1 K-means Results -- 3.2 Hierarchical Clustering Results -- 3.3 DBSCAN Results -- 3.4 PCA and DBSCAN Results -- 4 Discussion -- 4.1 Conclusion -- References -- Web Application for Early Cataract Detection Using a Deep Learning Cloud Service -- 1 Introduction -- 2 Related Works -- 3 Method -- 3.1 Web Application Architecture Design -- 3.2 Deep Learning Model Implementation -- 3.3 Web Application Development -- 3.4 Deploy -- 4 Results and Discussions -- 4.1 Experiment Protocol -- 4.2 Results -- 4.3 Discussions -- 4.4 Limitations.
5 Conclusions and Future Work -- 5.1 Conclusions -- 5.2 Future Work -- References -- Analyze and Implement a Reinforced AI Chatbot in Guayaquil to Improve Mental Health in Adolescents with the Use of the Neural Generative Models -- 1 Introduction -- 2 Related Work -- 2.1 Chatbots in Mental Health -- 2.2 AI and Healthcare -- 2.3 Key Concepts -- 3 Methodology -- 3.1 Chatbot Development -- 3.2 Methodological Design -- 4 Implementation -- 5 Evaluation -- 5.1 Model Validation -- 5.2 Chatbot Usability Measurement -- 5.3 Usability Study Results (According to CUQ) -- 5.4 Mobile Application Usability -- 6 Conclusions, Limitations, and Future Work -- References -- Detection of Ovarian Cancer Using Improved Deep Learning Model -- 1 Introduction -- 2 Material and Method -- 2.1 Dataset -- 2.2 Data Augmentation -- 2.3 The Improved VGG-16 Model -- 3 Results and Discussion -- 3.1 Implementation -- 3.2 Evaluation Metrics -- 3.3 Hyper Parameter Tuning -- 3.4 Results -- 4 Conclusion -- References -- Navigating the Chatbot Terrain: AI-Driven Conversational Interfaces -- 1 Introduction -- 2 Evolution of Chatbots -- 3 Chatbot System Process -- 3.1 Chatbot Architecture -- 3.2 Types of Chatbots -- 3.3 Applications of Chatbots -- 3.4 Challenges in Chatbot Development -- 3.5 Techniques to Improve Responses -- 4 Chatbot in Different Fields -- 4.1 Healthcare -- 4.2 E-Commerce -- 4.3 Education -- 4.4 Social Media Management -- 5 Future Trends in AI Chatbots -- 6 Conclusion -- References -- Intelligent Virtual Assistant for Elevators Powered by Facial Recognition and Voice Commands -- 1 Introduction -- 2 Methodology -- 2.1 System Architecture -- 2.2 Assistant Design -- 2.3 Facial Recognition Algorithm -- 2.4 Voice Command Algorithm -- 2.5 Embedded System -- 2.6 Actuator Parameterization and Connectivity -- 3 Results -- 4 Discussion -- 5 Conclusions -- References.
Otsu Segmentation and Deep Learning Models for the Detection of Melanoma -- 1 Introduction -- 2 Background and Related Works -- 3 Methodology -- 4 Results -- 5 Conclusion -- References -- Hybrid Residual Network and XGBoost Method for the Accurate Diagnosis of Lung Cancer -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Methods for Identifying Lung Nodules -- 3.2 Negative Mining -- 3.3 Refining Process -- 4 Experiments and Result -- 5 Conclusion -- References -- Generic Framework of New Era Artificial Intelligence and Its Applications -- 1 Introduction -- 2 Related Work -- 3 Proposed AI Framework -- 3.1 Evaluation of Chatbots Tools -- 3.2 Framework Design Evaluation -- 3.3 Research Assessment Framework is Being Roll-Out and Pilot Test -- 3.4 Humanizer BOT (RANS) in Education Sector -- 4 Bot Testing -- 4.1 Test Case 0 -- 4.2 Test Case 1 -- 4.3 Test Case 2 -- 4.4 Test Case 3 -- 4.5 Contact Model Test Case 4 -- 4.6 Contact Model Test Case 5 -- 4.7 Contact Model Test Case 6 -- 4.8 RANBOT Test Case 7 -- 5 Results and Discussion -- 6 Conclusion -- References -- Exploring the Molecular Diversity of SARS, Ebola, MERS, and SAR-COV-2 Viruses Using Genomics Virus Classification Algorithm: ViroGen -- 1 Introduction -- 2 Literature Review -- 3 Genome Based on Artificial Intelligence Technology -- 4 Results and Discussion -- 5 Conclusions -- References -- Improving Dynamic Behavior of Vehicular Ad Hoc Networks by Integrating Game Theory Technique -- 1 Introduction -- References -- Machine Learning to Investigate Determinants of Intention to Purchase Organic Food -- 1 Introduction -- 2 Problem Statements -- 3 Literature Review -- 4 Theoretical Framework -- 5 Methods -- 6 Machine Learning Model for Finding Determinants Intention to Purchase Organic Food -- 7 Data Analysis -- 8 Discussion -- References.
Influence Analysis of Driving Style on the Energy Consumption of an Electric Vehicle Through PID Signals Study -- 1 Introduction -- 2 Materials and Methods -- 2.1 On Route Data Acquisition -- 2.2 Test Route -- 2.3 Longitudinal Vehicle Dynamics -- 3 Results and Discussion -- 3.1 Energy Consumption Calculus -- 3.2 Acceleration Analysis Respect to the Route Driving Modes -- 3.3 Most Important Predictors in the Study from Decision Trees (Random Forest) -- 3.4 Training and Validation of the Neural Network from the Predictors -- 4 Conclusions -- References -- Prediction of Academic Outcomes Using Machine Learning Techniques: A Survey of Findings on Higher Education -- 1 Introduction -- 2 Importance of Academic Performance Prediction -- 3 Methodology -- 4 Results -- 4.1 Factors Affecting the Student's Academic Performance -- 4.2 Machine Learning Algorithms for Predicting Students' Performance -- 4.3 Challenges of Machine Learning for Academic Performance -- 5 Conclusions -- References -- Identification of Factors and Teacher Profile Associated with Student Performance Using Fuzzy Techniques and Data Mining -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Academic Performance Dataset -- 3.2 Teaching Profile Data -- 3.3 Data Preparation -- 4 Results -- 4.1 Identification of Factors Affecting Academic Performance -- 4.2 Identification of the Teaching Profile as a Factor of Academic Performance -- 5 Conclusions -- References -- Predictive Model for Accurate Horticultural Product Pricing Using Machine Learning -- 1 Introduction -- 2 Related Works -- 3 Main Contribution -- 4 Methodology -- 5 Experiments -- 6 Results -- 7 Conclusion and Perspective -- References -- Analysis of Driving Style and Its Influence on Fuel Consumption for the City of Quito, Ecuador: A Data-Driven Study -- 1 Introduction -- 2 Material and Methods -- 2.1 OBD Signal Acquisition.
2.2 Test Vehicle -- 2.3 Road Tests -- 2.4 Exploratory Analysis of Variables -- 2.5 Data Classification -- 3 Results and Discussions -- 3.1 Relationship Between Variables of Interest and Driving Style -- 3.2 Differences in Fuel Consumption -- 3.3 Development of the Calculation Algorithm -- 3.4 Testing the Classifier Model on a Normal Route -- 3.5 Classifier Model Testing in an RDE Cycle -- 4 Conclusions -- References -- Preventing Drug Interactions in Diabetic Patients: The Role of a Mobile Conversational Agent -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Store -- 2.2 Conversation Engine -- 2.3 Core Services -- 2.4 External Devices -- 3 Results and Discussion -- 3.1 Usability -- 3.2 Expert Judgment -- 4 Conclusions and Future Work -- References -- Author Index.
Record Nr. UNINA-9910864193403321
Botto-Tobar Miguel  
Cham : , : Springer International Publishing AG, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui