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Advanced Engineering, Technology and Applications [[electronic resource] ] : Second International Conference, ICAETA 2023, Istanbul, Turkey, March 10–11, 2023, Revised Selected Papers / / edited by Alessandro Ortis, Alaa Ali Hameed, Akhtar Jamil
| Advanced Engineering, Technology and Applications [[electronic resource] ] : Second International Conference, ICAETA 2023, Istanbul, Turkey, March 10–11, 2023, Revised Selected Papers / / edited by Alessandro Ortis, Alaa Ali Hameed, Akhtar Jamil |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (XIV, 504 p. 209 illus., 175 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Machine learning Application software Image processing - Digital techniques Computer vision Computer engineering Computer networks Artificial Intelligence Machine Learning Computer and Information Systems Applications Computer Imaging, Vision, Pattern Recognition and Graphics Computer Vision Computer Engineering and Networks |
| ISBN | 3-031-50920-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Pattern Recognition and Machine Learning -- Computer Vision and Applications -- Modeling and Computational Intelligence. |
| Record Nr. | UNINA-9910799246903321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computing, Internet of Things and Data Analytics [[electronic resource] ] : Selected papers from the International Conference on Computing, IoT and Data Analytics (ICCIDA) / / edited by Fausto Pedro García Márquez, Akhtar Jamil, Isaac Segovia Ramirez, Süleyman Eken, Alaa Ali Hameed
| Computing, Internet of Things and Data Analytics [[electronic resource] ] : Selected papers from the International Conference on Computing, IoT and Data Analytics (ICCIDA) / / edited by Fausto Pedro García Márquez, Akhtar Jamil, Isaac Segovia Ramirez, Süleyman Eken, Alaa Ali Hameed |
| Autore | García Márquez Fausto Pedro |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (540 pages) |
| Disciplina | 006.31 |
| Altri autori (Persone) |
JamilAkhtar
RamirezIsaac Segovia EkenSüleyman HameedAlaa Ali |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Machine learning
Quantitative research Machine Learning Data Analysis and Big Data |
| ISBN | 3-031-53717-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Exploratory Data Analysis -- Pattern Recognition and Image Analysis -- Medical Image Processing -- Artificial Intelligence and Applications -- Machine Learning & Deep Learning. |
| Record Nr. | UNINA-9910841860303321 |
García Márquez Fausto Pedro
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Emerging Trends and Applications in Artificial Intelligence : Selected Papers from the International Conference on Emerging Trends and Applications in Artificial Intelligence (ICETAI)
| Emerging Trends and Applications in Artificial Intelligence : Selected Papers from the International Conference on Emerging Trends and Applications in Artificial Intelligence (ICETAI) |
| Autore | García Márquez Fausto Pedro |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (611 pages) |
| Altri autori (Persone) |
JamilAkhtar
HameedAlaa Ali Segovia RamírezIsaac |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 3-031-56728-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- About the Editors -- Simultaneous Optimization of Ride Comfort and Energy Harvesting Through a Regenerative, Active Suspension System Using Genetic Algorithm -- 1 Introduction -- 1.1 Suspension System and Vehicle Vibration -- 1.2 Ride Comfort Measurement -- 1.3 Energy Harvesting Through Suspension System -- 1.4 Optimization Using Genetic Algorithm -- 2 Software and Analytical Modeling -- 2.1 Analytical Model Extraction -- 3 Defining the Control Structure and Parameters -- 3.1 Defining the Control Vector -- 3.2 Defining the Control Parameters and Their Limitations -- 4 Defining the Genetic Algorithm and the Test Procedure -- 4.1 Defining the Search Space and Initial Population -- 4.2 Developing a Fitness Function for Evaluating Ride Comfort -- 4.3 Developing a Fitness Function for Evaluating Energy Harvesting -- 4.4 Defining the Total Fitness Function -- 4.5 Designing the Test Procedure -- 5 Optimization Process Execution and Result Comparison -- 5.1 Optimization Algorithm Convergence and The Best Selection -- 5.2 Performance Comparison Between Optimized and Base System -- 6 Conclusion -- References -- Demystifying Deep Learning Techniques in Knee Implant Identification -- 1 Introduction -- 2 Literature Review -- 3 Data Set Description -- 4 Methods and Methodology -- 4.1 Training Set -- 4.2 Testing Set -- 4.3 Data Augmentation -- 4.4 Deep Learning Methods -- 4.5 Proposed Model -- 4.6 Performance Metrics -- 5 Results and Discussions -- 5.1 Data Augmentation -- 5.2 Deep Learning Results -- 6 Conclusion -- References -- Artificial Neural Network Model of Nonlinear Behavior of Micro-ring Gyroscopes -- 1 Introduction -- 2 Theoretical Formulation -- 3 Results and Discussions -- 3.1 Comparison and validation -- 3.2 Time Response of Micro-gyroscope -- 3.3 Neural Network -- 4 Conclusion -- References.
A Framework for Knowledge Representation Integrated with Dynamic Network Analysis -- 1 Introduction -- 2 State of the Art -- 2.1 Dynamic Network Analysis -- 2.2 Knowledge Graph Analysis -- 3 Methodology and Results -- 3.1 Dataset -- 3.2 Knowledge Modeling -- 3.3 Knowledge Graph Embedding -- 3.4 Dynamic Network Analysis -- 3.5 Prediction -- 4 Discussion and Limitations -- 5 Conclusion and Future Work -- References -- Time Series Forecasting Using Parallel Randomized Fuzzy Cognitive Maps and Reservoir Computing -- 1 Introduction -- 2 Fuzzy Cognitive Maps -- 3 Proposed Methodology -- 3.1 Training Procedure -- 3.2 Forecasting Procedure -- 4 Computational Experiments -- 4.1 Case Studies -- 4.2 Experimental Methodology -- 5 Results -- 5.1 Parameter Setting -- 5.2 Comparison Against Baselines -- 5.3 Statistical Testing -- 6 Conclusion -- References -- Review of Offensive Language Detection on Social Media: Current Trends and Opportunities -- 1 Introduction -- 2 Methodology of the Literature Review -- 3 Background -- 3.1 Definition and Variations -- 3.2 Motivation and Application Areas -- 3.3 Shared Tasks -- 3.4 Datasets -- 3.5 Methodology and Model Evolution -- 4 Discussion and Conclusions -- 4.1 Challenges -- 4.2 Gaps in the Research -- References -- Text Mining and Sentimental Analysis to Distinguish Systems Thinkers at Various Levels: A Case Study of COVID-19 -- 1 Introduction -- 1.1 Text Mining of Twitter Data -- 2 Methodology and Data Collection -- 2.1 The Research Goal Based on the Research Gap -- 2.2 Sample of Population -- 2.3 Data Collection Procedure and Twitter Features -- 2.4 Text Mining and NLP Features Engineering and Extraction -- 3 Results and Discussion -- 3.1 Twitter Feature Engineering and Extraction -- 3.2 Sentimental Analysis and Systems Thinking Mapping -- 3.3 Cluster Analysis and Validation -- 3.4 Randomization Experiment. 4 Conclusion -- References -- ADHD Prediction in Children Through Machine Learning Algorithms -- 1 Introduction -- 2 Methodology -- 2.1 Dataset Description -- 2.2 Dataset Preprocessing -- 2.3 Evaluation Methodology -- 2.4 Experiments -- 3 Results -- 4 Analysis and Conclusions -- 5 Annexes -- References -- Commonsense Validation and Explanation for Arabic Sentences -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 SemEval-2020: Task 4 -- 3.2 Dataset -- 3.3 Preprocess -- 3.4 Models -- 4 Experiments and Results -- 5 Conclusion and Future Work -- References -- Predicting Students Answers Using Data Science: An Experimental Study with Machine Learning -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset -- 3.2 Data Pre-processing -- 4 Experiments and Comparison -- 4.1 Models Tuning -- 4.2 Models Comparison -- 5 Conclusion -- References -- Arabic News Articles Classification Using Different Word Embeddings -- 1 Introduction -- 2 Related Work -- 3 Research Background -- 3.1 Word2Vec -- 3.2 GloVe -- 3.3 Fasttext -- 3.4 BERT -- 4 Methodology -- 4.1 Dataset -- 4.2 Pre-processing -- 4.3 Arabic Word Embeddings -- 4.4 Proposed Model Architecture -- 5 Experimental Results and Discussion -- 6 Conclusion -- References -- Tree Fruit Load Calculation with Image Processing Techniques -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods -- 3.1 YOLOV3 Algorithm -- 3.2 Preparing New Image Dataset -- 4 Result and Discussion -- 5 Conclusion and Future Work -- 6 References -- Prediction and Analysis of Water Quality Using Machine Learning Techniques -- 1 Introduction -- 2 Materials and Methods -- 2.1 Water Quality Dataset -- 2.2 Parameters of Water Quality Analysis -- 3 The Proposed Methodology -- 3.1 SVM -- 3.2 KNN -- 3.3 Decision Tree -- 3.4 AdaBoost Classifier -- 3.5 XG Boost -- 3.6 Feed Forward Neural Network. 4 Statistical Parameters of Classification -- 5 Comparison of Classifiers -- 6 Conclusion -- References -- Comparative Analysis of Feature Selection Techniques with Metaheuristic Grasshopper Optimization Algorithm -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Methodology -- 3.2 Feature Selection Methods -- 3.3 DataSets -- 3.4 Evaluation Metrics -- 4 Result and Discussion -- 5 Conclusion -- References -- Supermarket Shopping with the Help of Deep Learning -- 1 Introduction -- 2 Methods -- 2.1 Automatic List Fulfillment -- 2.2 Shortest Root Estimation -- 2.3 Obstacle Detection -- 3 Results and Limitations -- 4 Conclusion -- References -- A Decision Support System for Detecting FIP Disease in Cats Based on Machine Learning Methods -- 1 Introduction -- 2 Literature Survey -- 2.1 Cat Diseases -- 2.2 Feline Infectious Peritonitis (FIP) -- 3 Material and Method -- 3.1 Naive Bayes Algorithm -- 3.2 Data Set -- 4 Findings and Discussion -- 5 Conclusion -- References -- A Numerical Simulation for the Ankle Foot Orthosis Using the Finite Element Technique with the Aid of an Experimental Program -- 1 Introduction -- 2 The Numerical Analysis -- 3 Experimental Work -- 3.1 Specimens Preparation for Mechanical Properties -- 4 Results and Discussion -- 4.1 The Boundary Condition for Analysis of the Orthosis -- 4.2 Von Mises Analysis -- 4.3 The Numerical Analysis of Deformation -- 4.4 Safety Factor -- 5 Conclusions -- References -- Numerical and Experimental Simulations of Damage Identification in Carbon/Kevlar Hybrid Fiber-Reinforced Polymer Plates Using the Free Vibration Measurements -- 1 Introduction -- 2 Mathematical Model -- 3 Experimental Work -- 3.1 Manufacture of Samples -- 3.2 Specimens Tests -- 4 Numerical Analysis -- 5 Results and Discussions -- 6 Conclusions -- References. Computer Modelling of the Gait Cycle Patterns for a Drop Foot Patient for the Composite a Polypropylene Ankle-Foot Orthoses -- 1 Introduction -- 2 Theoretical Consideration -- 2.1 The Ground Reaction Force -- 3 Experimental Work -- 3.1 Manufacturing of Ankle Foot Orthosis (AFO) -- 4 Results and Discussion -- 5 Tensile Properties Results -- 6 Fatigue Characteristics Results -- 7 The Gait Cycle and Step Table Parameters' Results and Discussion -- 8 The Ground Reaction Force -- 9 Conclusions -- References -- Arabic Sign Language Alphabet Classification via Transfer Learning -- 1 Introduction -- 2 Related Work -- 3 Research Methadology -- 3.1 Data Description -- 3.2 Data Collection -- 3.3 Data Novality -- 3.4 Data Pre-processing and Splitting -- 3.5 Pre-trained Models -- 4 Experiments and Results -- 5 Conclusion -- References -- Evaluation of Chemical Data by Clustering Techniques -- 1 Introduction -- 1.1 Clustering Methods -- 1.2 K-Means Algorithm -- 2 Methodology -- 3 Results and Discussion -- Appendix: Python Commands for Clustering and Performance Evaluation -- References -- Novel Quantum Key Distribution Method Based on Blockchain Technology -- 1 Introduction -- 1.1 Literature Review -- 2 Quantum Attacks -- 3 Blockchain Technology -- 3.1 Hyperledger Fabric -- 4 Proposed System -- 5 System Evaluation -- 6 Conclusion -- References -- Smart Parking System Based on Dynamic and Optimal Resource Allocation -- 1 Introduction -- 2 Smart Parking in IoT and Challenges -- 3 Literature Review on Smart Parking Systems -- 3.1 Travel Time Optimization -- 3.2 Parking Space Utilization Optimization -- 3.3 Distance Optimization -- 3.4 User Preferences-Oriented -- 4 Comparison of Approaches -- 4.1 Analysis and Discussion -- 5 Proposed Solution -- 5.1 Metamodel of Concepts for Smart Parking in IoT -- 5.2 System Architecture and Application Overview. 5.3 Genetic Algorithm for Optimization. |
| Record Nr. | UNINA-9910855387803321 |
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García Márquez Fausto Pedro
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| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Pattern Recognition and Artificial Intelligence [[electronic resource] ] : Third Mediterranean Conference, MedPRAI 2019, Istanbul, Turkey, December 22–23, 2019, Proceedings / / edited by Chawki Djeddi, Akhtar Jamil, Imran Siddiqi
| Pattern Recognition and Artificial Intelligence [[electronic resource] ] : Third Mediterranean Conference, MedPRAI 2019, Istanbul, Turkey, December 22–23, 2019, Proceedings / / edited by Chawki Djeddi, Akhtar Jamil, Imran Siddiqi |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (xii, 217 pages) : illustrations |
| Disciplina | 006.4 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computers Optical data processing Computer communication systems Special purpose computers Education—Data processing Artificial Intelligence Information Systems and Communication Service Image Processing and Computer Vision Computer Communication Networks Special Purpose and Application-Based Systems Computers and Education |
| ISBN | 3-030-37548-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Room-Level Indoor Localization with Artificial Neural Networks -- A Simple Authentication Method with Multilayer Feedforward Neural Network Using Keystroke Dynamics -- A Comparative Study of ANN Tuning Methods for Multiclass Daily Activity and Fall Recognition -- Exploring Model Transfer Potential for Airborne LiDAR Point Cloud Classification -- Haralick Feature Guided Network for the Improvement of Generalization in Landcover Classification -- Determining Location and Detecting Changes Using a Single Training Video -- Improving Deep Learning Parkinson’s Disease Detection Through Data Augmentation Training -- Human Action Recognition Using Stereo Trajectories -- Deep Convolutional Neural Network with 2D Spectral Energy Maps for Fault Diagnosis of Gearboxes under Variable Speed -- Bayesian Convolutional Neural Network: Robustly Quantify Uncertainty for Misclassifications Detection -- Particle Filter for Trajectories of Movers from Laser Scanned Dataset -- Video Steganography using 3D Convolutional Neural Networks -- DeepRank: Adapting Neural Tensor Networks for Ranking the Recommendations -- An Intelligent Context Aware Recommender System For Real-Estate -- Integration of fuzzy clustering into the Case Base Reasoning for the prediction of response to immunotherapy treatment -- Music Generation using an Interactive Evolutionary Algorithm. |
| Record Nr. | UNISA-996465457903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Pattern Recognition and Artificial Intelligence : Third Mediterranean Conference, MedPRAI 2019, Istanbul, Turkey, December 22–23, 2019, Proceedings / / edited by Chawki Djeddi, Akhtar Jamil, Imran Siddiqi
| Pattern Recognition and Artificial Intelligence : Third Mediterranean Conference, MedPRAI 2019, Istanbul, Turkey, December 22–23, 2019, Proceedings / / edited by Chawki Djeddi, Akhtar Jamil, Imran Siddiqi |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (xii, 217 pages) : illustrations |
| Disciplina |
006.4
006.4 (edition:23) |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computers Optical data processing Computer communication systems Special purpose computers Education—Data processing Artificial Intelligence Information Systems and Communication Service Image Processing and Computer Vision Computer Communication Networks Special Purpose and Application-Based Systems Computers and Education |
| ISBN | 3-030-37548-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Room-Level Indoor Localization with Artificial Neural Networks -- A Simple Authentication Method with Multilayer Feedforward Neural Network Using Keystroke Dynamics -- A Comparative Study of ANN Tuning Methods for Multiclass Daily Activity and Fall Recognition -- Exploring Model Transfer Potential for Airborne LiDAR Point Cloud Classification -- Haralick Feature Guided Network for the Improvement of Generalization in Landcover Classification -- Determining Location and Detecting Changes Using a Single Training Video -- Improving Deep Learning Parkinson’s Disease Detection Through Data Augmentation Training -- Human Action Recognition Using Stereo Trajectories -- Deep Convolutional Neural Network with 2D Spectral Energy Maps for Fault Diagnosis of Gearboxes under Variable Speed -- Bayesian Convolutional Neural Network: Robustly Quantify Uncertainty for Misclassifications Detection -- Particle Filter for Trajectories of Movers from Laser Scanned Dataset -- Video Steganography using 3D Convolutional Neural Networks -- DeepRank: Adapting Neural Tensor Networks for Ranking the Recommendations -- An Intelligent Context Aware Recommender System For Real-Estate -- Integration of fuzzy clustering into the Case Base Reasoning for the prediction of response to immunotherapy treatment -- Music Generation using an Interactive Evolutionary Algorithm. |
| Record Nr. | UNINA-9910366658103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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