top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.

Biblioteca

MARC Lista (tabellare)
Applications and Usability of Interactive TV [[electronic resource] ] : Third Iberoamerican Conference, jAUTI 2014, and Third Workshop on Interactive Digital TV, Held as Part of Webmedia 2014, João Pessoa, PB, Brazil, November 18-21, 2014. Revised Selected Papers / / edited by María José Abásolo, Raoni Kulesza
Applications and Usability of Interactive TV [[electronic resource] ] : Third Iberoamerican Conference, jAUTI 2014, and Third Workshop on Interactive Digital TV, Held as Part of Webmedia 2014, João Pessoa, PB, Brazil, November 18-21, 2014. Revised Selected Papers / / edited by María José Abásolo, Raoni Kulesza
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (VIII, 147 p. 48 illus. in color.)
Disciplina 004
Collana Communications in Computer and Information Science
Soggetto topico Computer hardware
Application software
Computer engineering
Computer Hardware
Computer Applications
Computer Engineering
ISBN 3-319-22656-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto IDTV overview -- IDTV development Tools -- IDTV evaluation and testing -- IDTV accessibility and usability.
Record Nr. UNINA-9910299205003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applications of Soft Computing for the Web [[electronic resource] /] / edited by Rashid Ali, MM Sufyan Beg
Applications of Soft Computing for the Web [[electronic resource] /] / edited by Rashid Ali, MM Sufyan Beg
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XVIII, 288 p. 85 illus., 62 illus. in color.)
Disciplina 004.6
Soggetto topico Special purpose computers
Data mining
Information storage and retrieval
Application software
E-business
Electronic commerce
E-commerce
Special Purpose and Application-Based Systems
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
e-Business/e-Commerce
Computer Applications
ISBN 981-10-7098-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Section 1. Soft Computing based Recommender Systems -- Section 2. Soft Computing based Online Documents Summarization -- Section 3. Soft Computing based Web Data Extraction -- Section 4. Soft Computing based Question Answering Systems -- Section 5. Soft Computing based Online Health Care Systems -- Section 6. Soft Computing based Online Documents Clustering -- Section 7. Soft Computing based Web Security Applications -- Section 8. Soft Computing based Online Market Intelligence -- Section 9. Soft Computing based Internet of Things Applications -- Section 10. Other Emerging Soft Computing Techniques and Applications.
Record Nr. UNINA-9910255453303321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied Computer Sciences in Engineering [[electronic resource] ] : Third Workshop on Engineering Applications, WEA 2016, Bogotá, Colombia, September 21-23, 2016, Revised Selected Papers / / edited by Juan Carlos Figueroa-García, Eduyn Ramiro López-Santana, Roberto Ferro-Escobar
Applied Computer Sciences in Engineering [[electronic resource] ] : Third Workshop on Engineering Applications, WEA 2016, Bogotá, Colombia, September 21-23, 2016, Revised Selected Papers / / edited by Juan Carlos Figueroa-García, Eduyn Ramiro López-Santana, Roberto Ferro-Escobar
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XIV, 414 p. 194 illus.)
Disciplina 004
Collana Communications in Computer and Information Science
Soggetto topico Software engineering
Application software
Computer engineering
Software Engineering/Programming and Operating Systems
Computer Applications
Computer Engineering
ISBN 3-319-50880-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Computer science -- Computational intelligence -- Simulation systems -- Fuzzy sets and systems -- Power systems -- Miscellaneous applications.
Record Nr. UNINA-9910255016403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied Computing to Support Industry: Innovation and Technology [[electronic resource] ] : First International Conference, ACRIT 2019, Ramadi, Iraq, September 15–16, 2019, Revised Selected Papers / / edited by Mohammed I. Khalaf, Dhiya Al-Jumeily, Alexei Lisitsa
Applied Computing to Support Industry: Innovation and Technology [[electronic resource] ] : First International Conference, ACRIT 2019, Ramadi, Iraq, September 15–16, 2019, Revised Selected Papers / / edited by Mohammed I. Khalaf, Dhiya Al-Jumeily, Alexei Lisitsa
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XVI, 516 p. 425 illus., 224 illus. in color.)
Disciplina 006.3
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computers
Computer organization
Optical data processing
Application software
Software engineering
Artificial Intelligence
Information Systems and Communication Service
Computer Systems Organization and Communication Networks
Image Processing and Computer Vision
Computer Applications
Software Engineering/Programming and Operating Systems
ISBN 3-030-38752-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Theory, Methods and Tools to support Computer Science -- Computer Security and Cryptography -- Computer Network and Communication -- Real World Application in Information Science and Technology.
Record Nr. UNINA-9910373924603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied Computing to Support Industry: Innovation and Technology [[electronic resource] ] : First International Conference, ACRIT 2019, Ramadi, Iraq, September 15–16, 2019, Revised Selected Papers / / edited by Mohammed I. Khalaf, Dhiya Al-Jumeily, Alexei Lisitsa
Applied Computing to Support Industry: Innovation and Technology [[electronic resource] ] : First International Conference, ACRIT 2019, Ramadi, Iraq, September 15–16, 2019, Revised Selected Papers / / edited by Mohammed I. Khalaf, Dhiya Al-Jumeily, Alexei Lisitsa
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XVI, 516 p. 425 illus., 224 illus. in color.)
Disciplina 006.3
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computers
Computer organization
Optical data processing
Application software
Software engineering
Artificial Intelligence
Information Systems and Communication Service
Computer Systems Organization and Communication Networks
Image Processing and Computer Vision
Computer Applications
Software Engineering/Programming and Operating Systems
ISBN 3-030-38752-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Theory, Methods and Tools to support Computer Science -- Computer Security and Cryptography -- Computer Network and Communication -- Real World Application in Information Science and Technology.
Record Nr. UNISA-996465355003316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Applied Informatics [[electronic resource] ] : Second International Conference, ICAI 2019, Madrid, Spain, November 7–9, 2019, Proceedings / / edited by Hector Florez, Marcelo Leon, Jose Maria Diaz-Nafria, Simone Belli
Applied Informatics [[electronic resource] ] : Second International Conference, ICAI 2019, Madrid, Spain, November 7–9, 2019, Proceedings / / edited by Hector Florez, Marcelo Leon, Jose Maria Diaz-Nafria, Simone Belli
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (xiv, 548 pages)
Disciplina 004
Collana Communications in Computer and Information Science
Soggetto topico Application software
Artificial intelligence
Education—Data processing
Software engineering
Computer organization
Computer Applications
Artificial Intelligence
Information Systems Applications (incl. Internet)
Computers and Education
Software Engineering
Computer Systems Organization and Communication Networks
ISBN 3-030-32475-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910349270003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied Informatics [[electronic resource] ] : First International Conference, ICAI 2018, Bogotá, Colombia, November 1-3, 2018, Proceedings / / edited by Hector Florez, Cesar Diaz, Jaime Chavarriaga
Applied Informatics [[electronic resource] ] : First International Conference, ICAI 2018, Bogotá, Colombia, November 1-3, 2018, Proceedings / / edited by Hector Florez, Cesar Diaz, Jaime Chavarriaga
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XIII, 380 p. 164 illus.)
Disciplina 004
Collana Communications in Computer and Information Science
Soggetto topico Application software
Computer organization
Computer Applications
Computer Systems Organization and Communication Networks
ISBN 3-030-01535-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Data analysis -- Decision systems -- Health care information systems -- IT architectures -- Learning management systems -- Mobile information processing systems -- Robotic autonomy -- Software design engineering.
Record Nr. UNINA-9910299295703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
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 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
Approximation Algorithms for Combinatorial Optimization [[electronic resource] ] : Third International Workshop, APPROX 2000 Saarbrücken, Germany, September 5-8, 2000 Proceedings / / edited by Klaus Jansen, Samir Khuller
Approximation Algorithms for Combinatorial Optimization [[electronic resource] ] : Third International Workshop, APPROX 2000 Saarbrücken, Germany, September 5-8, 2000 Proceedings / / edited by Klaus Jansen, Samir Khuller
Edizione [1st ed. 2000.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2000
Descrizione fisica 1 online resource (X, 282 p.)
Disciplina 004/.01/5114
Collana Lecture Notes in Computer Science
Soggetto topico Computer programming
Data structures (Computer science)
Application software
Algorithms
Computer graphics
Programming Techniques
Data Structures and Information Theory
Computer Applications
Algorithm Analysis and Problem Complexity
Data Structures
Computer Graphics
ISBN 3-540-44436-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Talks -- Approximation Algorithms That Take Advice -- Instant Recognition of Polynomial Time Solvability, Half Integrality, and 2-Approximations -- Scheduling under Uncertainty: Optimizing against a Randomizing Adversary -- Approximation Algorithms for Facility Location Problems -- Contributed Talks -- An Approximation Algorithm for MAX DICUT with Given Sizes of Parts -- Maximizing Job Benefits On-Line -- Variable Length Sequencing with Two Lengths -- Randomized Path Coloring on Binary Trees -- Wavelength Rerouting in Optical Networks, or the Venetian Routing Problem -- Greedy Approximation Algorithms for Finding Dense Components in a Graph -- Online Real-Time Preemptive Scheduling of Jobs with Deadlines -- On the Relative Complexity of Approximate Counting Problems -- On the Hardness of Approximating NP Witnesses -- Maximum Dispersion and Geometric Maximum Weight Cliques -- New Results for Online Page Replication -- Inapproximability Results for Set Splitting and Satisfiability Problems with No Mixed Clauses -- Approximation Algorithms for a Capacitated Network Design Problem -- An Approximation Algorithm for the Fault Tolerant Metric Facility Location Problem -- Improved Approximations for Tour and Tree Covers -- Approximating Node Connectivity Problems via Set Covers -- Rectangle Tiling -- Primal-Dual Approaches to the Steiner Problem -- On the Inapproximability of Broadcasting Time -- Polynomial Time Approximation Schemes for Class-Constrained Packing Problems -- Partial Servicing of On-Line Jobs -- Factor 4/3 Approximations for Minimum 2-Connected Subgraphs.
Record Nr. UNINA-9910143618403321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2000
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui