Intelligent Computing Systems [[electronic resource] ] : Third International Symposium, ISICS 2020, Sharjah, United Arab Emirates, March 18–19, 2020, Proceedings / / edited by Carlos Brito-Loeza, Arturo Espinosa-Romero, Anabel Martin-Gonzalez, Asad Safi |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (X, 151 p. 83 illus., 64 illus. in color.) |
Disciplina | 006.3 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Artificial intelligence
Computers Application software Education—Data processing Optical data processing Computer organization Artificial Intelligence Information Systems and Communication Service Computer Applications Computers and Education Computer Imaging, Vision, Pattern Recognition and Graphics Computer Systems Organization and Communication Networks |
ISBN | 3-030-43364-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | An Investigation on Performance of Attention Deep Neural Networks in Rapid Object Recognition -- Breast Cancer Detection and Localization using MobileNet based Transfer Learning for Mammograms -- U-Net based Glioblastoma Segmentation with Patient’s Overall Survival Prediction -- MicroPython or Arduino C for ESP32 - Efficiency for Neural Network Edge Devices -- Analysis of Frameworks for Traffic Agent Simulations -- Blockchain-based Authentication Approach for Securing Transportation System -- A classification model for modeling online articles -- A Novel Feature Extraction Model to Enhance Underwater Image Classification -- A Comprehensive Analysis of MRI Based Brain Tumor Segmentation using Conventional and Deep Learning Methods -- Sentiment Analysis on Predicting Presidential Election: Twitter Used Case -- Convolutional Neural Network U-Net for Trypanosoma cruzi Segmentation -- Segmentation of Echocardiographic Images in Murine Model of Chagas Disease -- Lung Cancer patient’s survival Prediction Using GRNN-CP. . |
Record Nr. | UNISA-996465466103316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Intelligent Computing Systems : Third International Symposium, ISICS 2020, Sharjah, United Arab Emirates, March 18–19, 2020, Proceedings / / edited by Carlos Brito-Loeza, Arturo Espinosa-Romero, Anabel Martin-Gonzalez, Asad Safi |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (X, 151 p. 83 illus., 64 illus. in color.) |
Disciplina | 006.3 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Artificial intelligence
Computers Application software Education—Data processing Optical data processing Computer organization Artificial Intelligence Information Systems and Communication Service Computer Applications Computers and Education Computer Imaging, Vision, Pattern Recognition and Graphics Computer Systems Organization and Communication Networks |
ISBN | 3-030-43364-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | An Investigation on Performance of Attention Deep Neural Networks in Rapid Object Recognition -- Breast Cancer Detection and Localization using MobileNet based Transfer Learning for Mammograms -- U-Net based Glioblastoma Segmentation with Patient’s Overall Survival Prediction -- MicroPython or Arduino C for ESP32 - Efficiency for Neural Network Edge Devices -- Analysis of Frameworks for Traffic Agent Simulations -- Blockchain-based Authentication Approach for Securing Transportation System -- A classification model for modeling online articles -- A Novel Feature Extraction Model to Enhance Underwater Image Classification -- A Comprehensive Analysis of MRI Based Brain Tumor Segmentation using Conventional and Deep Learning Methods -- Sentiment Analysis on Predicting Presidential Election: Twitter Used Case -- Convolutional Neural Network U-Net for Trypanosoma cruzi Segmentation -- Segmentation of Echocardiographic Images in Murine Model of Chagas Disease -- Lung Cancer patient’s survival Prediction Using GRNN-CP. . |
Record Nr. | UNINA-9910410051003321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Intelligent Computing Systems : Second International Symposium, ISICS 2018, Merida, Mexico, March 21-23, 2018, Proceedings / / edited by Carlos Brito-Loeza, Arturo Espinosa-Romero |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (X, 159 p. 90 illus.) |
Disciplina | 006.37 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Optical data processing
Artificial intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence |
ISBN | 3-319-76261-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Object Recognition using Hierarchical Temporal Memory -- Tree-structured CNN for the Classification of Surgical Instruments -- Knee-ankle Sensor for Gait Characterization: Gender Identification Case -- Methodology for Learning Multimodal Instructions in the Context of Human-Robot Interaction using Machine Learning -- Deep Learning for Photovoltaic Power Plant Forecasting -- Identification of Multimodal Signals for Emotion Recognition in the Context of Human-Robot Interaction -- Forecast and Energy Management of a Microgrid with Renewable Energy Sources using Artificial Intelligence -- Intelligent Recognition System of Myoelectric Signals of Human Hand Movement -- Analyzing Students Reviews of Teacher Performance Using Support Vector Machines by a Proposed Model -- A Selective Segmentation Model for Inhomogeneous Images -- A Review of SAR Hybrid De-Speckling Methods -- Zero-Shot Learning with Partial Attributes. |
Record Nr. | UNINA-9910299275003321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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