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High performance computing and networking : select proceedings of CHSN 2021 / / edited by Ch Satyanarayana [and three others]
| High performance computing and networking : select proceedings of CHSN 2021 / / edited by Ch Satyanarayana [and three others] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (652 pages) |
| Disciplina | 929.605 |
| Collana | Lecture Notes in Electrical Engineering Ser. |
| Soggetto topico | Computer vision |
| ISBN | 981-16-9885-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Program Committee -- Keynote Speakers -- Foreword -- Contents -- About the Editors -- An Effective DNLP Optimization Method for Economic Load Dispatch Problem -- 1 Introduction -- 2 Mathematical Model of Economic Load Dispatch -- 2.1 Constraints -- 2.2 Prohibited Operating Zones (POZ) -- 2.3 Ramp Rate Limits -- 3 Results -- 4 Conclusions -- References -- Multi-Perspective Reasoning Using Adaptive Learning -- 1 Introduction -- 2 Literature Review -- 3 Proposed Work -- 3.1 Multi-perspective Learning -- 3.2 Neighbor Recognition Algorithm -- 4 Results and Discussions -- 5 Conclusion -- References -- Ink Recognition Using TDNN and Bi-LSTM -- 1 Introduction -- 2 Related Work -- 3 Dataset Description -- 4 Methodology -- 4.1 Pre-processing -- 4.2 Features Generation -- 4.3 Architecture -- 5 Results and Discussion -- 6 Conclusion and Future Work -- References -- Sarcasm Detection for Sentiment Analysis: A RNN-Based Approach Using Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results -- 5 Conclusion and Future Scope -- References -- Statistical Analysis of Soil Properties Using Non-imaging Spectral Data for Quantitative Analysis of Raver Tehsil -- 1 Introduction -- 2 Study Area -- 3 Material and Methods -- 3.1 Spectral Data Acquisition -- 4 Results -- 5 Conclusion -- References -- Building an Efficient Heart Disease Prediction System by using Clustering Techniques -- 1 Introduction -- 2 Literature Survey -- 3 Parameters and Techniques for Predicting Heart Disease -- 3.1 Dataset Description and Pre-processing -- 3.2 The Algorithm for Clustering -- 3.3 The Algorithm for Classification -- 4 Experiment Setup -- 4.1 Testing Level I -- 4.2 Testing Level II -- 4.3 Testing Level III -- 5 Conclusion and Future Work -- References -- The GR1 Algorithm for Subgraph Isomorphism. A Study from Parallelism to Quantum Computing.
1 Introduction -- 2 Terminology -- 3 Input Data -- 4 GR1 Algorithm -- 5 Tests -- 6 Quantum Computing Approach -- 7 Conclusions -- References -- Sliding Windowed Fuzzy Correlation Analysis-Based Marine Motion Detection -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Background Model Generation -- 2.2 FCA-based Motion Detection -- 3 Dataset -- 4 Experimental Results -- 5 Conclusion -- References -- Generative Adversarial Network for Music Generation -- 1 Introduction -- 2 Background -- 2.1 Related Work in Music Generation -- 2.2 Generative Adversarial Networks -- 3 Proposed Model -- 3.1 Conditional GAN Model -- 4 Materials and Methods -- 4.1 Music Synthesizer Using Conditional GAN Models -- 4.2 Workflow -- 5 Results and Discussion -- 5.1 Generated Piano Rolls -- 5.2 Evaluation of Models -- 6 Conclusion -- References -- Automatic License Plate Recognition for Distorted Images Using SRGAN -- 1 Introduction -- 2 Related Work -- 3 System Architecture -- 3.1 Traditional ALPR System -- 3.2 ALPR System for Distorted Images -- 4 Methodology -- 4.1 License Plate Detection -- 4.2 Super Resolution -- 4.3 Character Segmentation -- 4.4 Character Recognition -- 5 Training Details -- 6 Experiments and Results -- 7 Conclusion -- References -- EEG Signals Classification for Right- and Left-Hand Movement Discrimination Using SVM and LDA Classifiers -- 1 Introduction -- 2 Materials and Methods -- 2.1 EEG Data Acquisition and Preprocessing -- 2.2 EEG Feature Extraction -- 2.3 Classifiers -- 3 Results and Discussion -- 4 Conclusion -- References -- A Comparative Study on Network Intrusion Detection System Using Deep Learning Algorithms and Enhancement of Deep Learning Models Using Generative Adversarial Network (GAN) -- 1 Introduction -- 2 Data set -- 3 Literature Review -- 4 Proposed Deep Learning Architectures -- 4.1 Convolutional Neural Network. 4.2 Deep Neural Network -- 4.3 Recurrent Neural Network -- 4.4 RNN-LSTM -- 4.5 Enhancement Using GAN -- 5 Evaluation Metrics -- 6 Results and Analysis -- 7 Conclusion and Future Work -- References -- Indian Sign Language Detection Using YOLOv3 -- 1 Introduction -- 2 Related Works -- 3 YOLOv3 Algorithm -- 3.1 Introduction to YOLOv3 -- 3.2 Darknet-53 and YOLOv3 CNN -- 3.3 YOLOv3 Algorithm -- 4 Indian Sign Language -- 5 Sign Language Detection Using YOLOv3 Algorithm -- 6 Experiments and Results -- 6.1 Experimental Setup -- 6.2 Results -- 7 Conclusion -- References -- Feature Extraction-Based Phishing URL Detection Using Machine Learning Techniques -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Existing Methodology -- 3.2 Proposed Methodology -- 4 Implementation -- 4.1 Pseudocode -- 5 Results and Discussions -- 6 Conclusion and Future Scope -- References -- A Slant Transform and Diagonal Laplacian Based Fusion Algorithm for Visual Sensor Network Applications -- 1 Introduction -- 2 Slant Transform -- 3 Diagonal Laplacian (DL) Focus Measure -- 4 Proposed Algorithm -- 5 Performance Measures -- 5.1 Reference Measures -- 5.2 Non-reference Measures -- 6 Simulation Results and Analysis -- 7 Conclusions -- References -- Tracking Industrial Assets Using Blockchain Technology -- 1 Introduction -- 2 Related Work -- 3 Overview -- 3.1 Equip-Chain Architecture -- 3.2 Tracking of Industrial Assets Using Blockchain -- 3.3 Blockchain Implementation Through Application Server -- 4 Working Methodology -- 5 Conclusion -- References -- Prototype for Recognition and Classification of Textile Weaves Using Machine Learning -- 1 Introduction -- 2 Background -- 2.1 Fabrics -- 2.2 Artificial Neural Networks -- 2.3 Bilinear Convolutional Neural Networks -- 2.4 Related Works -- 3 Development -- 3.1 Sampling -- 3.2 Dataset Creation -- 3.3 Pre-processing. 3.4 Model Training -- 3.5 Analysis of Results -- 3.6 Hyperparameters Optimization -- 4 Conclusion and Recommendations -- References -- Development of Deep Neural Network Algorithm for Identification of Cerebral Microstructural Changes in Brain Tumor for Post-COVID-19 Patients -- 1 Introduction -- 1.1 Background -- 1.2 Advantages of CNN for Post-COVID-19 Analysis -- 2 Related Work -- 3 Proposed Method -- 4 Results and Discussion -- 5 Conclusion -- References -- A Codebook Modification Method of Vector Quantization to Enhance Compression Ratio -- 1 Introduction -- 2 Literature Review -- 3 Proposed Method -- 3.1 Compression -- 3.2 Decompression -- 3.3 Memory Requirements for Proposed Method -- 4 Experimental Results -- 5 Conclusion -- References -- Intra Change Detection in Shelf Images Using Fast Discrete Curvelet Transform and Features from Accelerated Segment Test -- 1 Introduction -- 2 Background Study on Change Detection -- 3 Concepts Used -- 3.1 Wavelets -- 3.2 FAST Algorithm -- 4 Proposed Change Detection Algorithm -- 4.1 Misplaced Object Detection and Localization -- 5 Experimental Results and Discussion -- 5.1 Dataset -- 5.2 Results and Discussion -- 6 Conclusion -- References -- Mucormycosis Vaccine Design using Bioinformatic Tools -- 1 Introduction -- 1.1 Reverse Vaccinology -- 1.2 Immunoinformatics -- 1.3 Structural Vaccinology -- 2 Materials and Method -- 2.1 Sequence Retrieval and Analysis -- 2.2 Prediction of B-cell and T-cell Epitopes -- 2.3 Retrieval of the Protein and Epitope Structures -- 2.4 Molecular Docking Studies -- 3 Results -- 3.1 Prediction of Antigenicity and Physicochemical Analysis -- 3.2 B- and T-cell Epitope Prediction -- 3.3 Retrieval of the Protein and Epitope Structures -- 3.4 Molecular Docking Analysis -- 4 Discussion -- 5 Conclusion -- References. Blockchain Implementation in IoT Privacy and Cyber Security Feasibility Study and Analysis -- 1 Introduction -- 2 Security Challenges and Role of Blockchain in IoT -- 2.1 Challenges -- 2.2 IoT Categories -- 2.3 Role of Blockchain and Integration with IoT -- 2.4 Blockchain IoT Market Growth Rate -- 3 Overview of Blockchain Technology -- 3.1 Properties of Blockchain -- 3.2 Types of Blockchain -- 3.3 Categories of Blockchains -- 3.4 Benefits of Blockchain -- 3.5 Blockchain Platforms for IoT -- 3.6 Blockchain Implementation in Different Domains -- 4 SWOT Analysis of Blockchain -- 5 Ethereum Blockchain -- 5.1 Smart Contract -- 5.2 Cryptography in Ethereum -- 5.3 Implementation and Testing -- 6 Discussion and Analysis -- 7 Conclusion -- References -- Modified ResNetModel for MSI and MSS Classification of Gastrointestinal Cancer -- 1 Introduction -- 2 Model Description -- 2.1 Baseline Approach -- 2.2 Transfer Learning Approach -- 2.3 Modified ResNet Model -- 3 Results and Discussion -- 3.1 Baseline Models -- 3.2 Transfer learning Models -- 3.3 Modified ResNet Model -- 4 Conclusion -- References -- An IoT-Enabled Healthcare System: Auto-predictive Colorectal Cancer with Colonoscopy Images Combined with the Convolutional Neural Network -- 1 Introduction -- 2 Proposed Computer-Assisted Detection (CAD) System -- 2.1 Large Intestine -- 2.2 Colonoscopy -- 2.3 Data Storage and Cloud Storage -- 2.4 Colonoscopy Image Datasets -- 2.5 Image Pre-processing -- 2.6 Feature Extraction -- 2.7 Feature Selection -- 2.8 Convolutional Neural Networks (CNN) -- 2.9 Convolutional Layer -- 3 Results -- 3.1 Datasets -- 3.2 Split Polyps and Non-polyps -- 3.3 Convolutional Neural Networks -- 3.4 Optimized Hyperparameters for 3 Conv-FC -- 4 Conclusion -- References -- Unfair Review Detection on Amazon Reviews Using Sentiment Analysis -- 1 Introduction -- 2 Literature Review. 3 Proposed Work. |
| Record Nr. | UNISA-996464544403316 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
High performance computing and networking : select proceedings of CHSN 2021 / / edited by Ch Satyanarayana [and three others]
| High performance computing and networking : select proceedings of CHSN 2021 / / edited by Ch Satyanarayana [and three others] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (652 pages) |
| Disciplina | 929.605 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico | Computer vision |
| ISBN |
981-16-9885-6
981-16-9884-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Program Committee -- Keynote Speakers -- Foreword -- Contents -- About the Editors -- An Effective DNLP Optimization Method for Economic Load Dispatch Problem -- 1 Introduction -- 2 Mathematical Model of Economic Load Dispatch -- 2.1 Constraints -- 2.2 Prohibited Operating Zones (POZ) -- 2.3 Ramp Rate Limits -- 3 Results -- 4 Conclusions -- References -- Multi-Perspective Reasoning Using Adaptive Learning -- 1 Introduction -- 2 Literature Review -- 3 Proposed Work -- 3.1 Multi-perspective Learning -- 3.2 Neighbor Recognition Algorithm -- 4 Results and Discussions -- 5 Conclusion -- References -- Ink Recognition Using TDNN and Bi-LSTM -- 1 Introduction -- 2 Related Work -- 3 Dataset Description -- 4 Methodology -- 4.1 Pre-processing -- 4.2 Features Generation -- 4.3 Architecture -- 5 Results and Discussion -- 6 Conclusion and Future Work -- References -- Sarcasm Detection for Sentiment Analysis: A RNN-Based Approach Using Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results -- 5 Conclusion and Future Scope -- References -- Statistical Analysis of Soil Properties Using Non-imaging Spectral Data for Quantitative Analysis of Raver Tehsil -- 1 Introduction -- 2 Study Area -- 3 Material and Methods -- 3.1 Spectral Data Acquisition -- 4 Results -- 5 Conclusion -- References -- Building an Efficient Heart Disease Prediction System by using Clustering Techniques -- 1 Introduction -- 2 Literature Survey -- 3 Parameters and Techniques for Predicting Heart Disease -- 3.1 Dataset Description and Pre-processing -- 3.2 The Algorithm for Clustering -- 3.3 The Algorithm for Classification -- 4 Experiment Setup -- 4.1 Testing Level I -- 4.2 Testing Level II -- 4.3 Testing Level III -- 5 Conclusion and Future Work -- References -- The GR1 Algorithm for Subgraph Isomorphism. A Study from Parallelism to Quantum Computing.
1 Introduction -- 2 Terminology -- 3 Input Data -- 4 GR1 Algorithm -- 5 Tests -- 6 Quantum Computing Approach -- 7 Conclusions -- References -- Sliding Windowed Fuzzy Correlation Analysis-Based Marine Motion Detection -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Background Model Generation -- 2.2 FCA-based Motion Detection -- 3 Dataset -- 4 Experimental Results -- 5 Conclusion -- References -- Generative Adversarial Network for Music Generation -- 1 Introduction -- 2 Background -- 2.1 Related Work in Music Generation -- 2.2 Generative Adversarial Networks -- 3 Proposed Model -- 3.1 Conditional GAN Model -- 4 Materials and Methods -- 4.1 Music Synthesizer Using Conditional GAN Models -- 4.2 Workflow -- 5 Results and Discussion -- 5.1 Generated Piano Rolls -- 5.2 Evaluation of Models -- 6 Conclusion -- References -- Automatic License Plate Recognition for Distorted Images Using SRGAN -- 1 Introduction -- 2 Related Work -- 3 System Architecture -- 3.1 Traditional ALPR System -- 3.2 ALPR System for Distorted Images -- 4 Methodology -- 4.1 License Plate Detection -- 4.2 Super Resolution -- 4.3 Character Segmentation -- 4.4 Character Recognition -- 5 Training Details -- 6 Experiments and Results -- 7 Conclusion -- References -- EEG Signals Classification for Right- and Left-Hand Movement Discrimination Using SVM and LDA Classifiers -- 1 Introduction -- 2 Materials and Methods -- 2.1 EEG Data Acquisition and Preprocessing -- 2.2 EEG Feature Extraction -- 2.3 Classifiers -- 3 Results and Discussion -- 4 Conclusion -- References -- A Comparative Study on Network Intrusion Detection System Using Deep Learning Algorithms and Enhancement of Deep Learning Models Using Generative Adversarial Network (GAN) -- 1 Introduction -- 2 Data set -- 3 Literature Review -- 4 Proposed Deep Learning Architectures -- 4.1 Convolutional Neural Network. 4.2 Deep Neural Network -- 4.3 Recurrent Neural Network -- 4.4 RNN-LSTM -- 4.5 Enhancement Using GAN -- 5 Evaluation Metrics -- 6 Results and Analysis -- 7 Conclusion and Future Work -- References -- Indian Sign Language Detection Using YOLOv3 -- 1 Introduction -- 2 Related Works -- 3 YOLOv3 Algorithm -- 3.1 Introduction to YOLOv3 -- 3.2 Darknet-53 and YOLOv3 CNN -- 3.3 YOLOv3 Algorithm -- 4 Indian Sign Language -- 5 Sign Language Detection Using YOLOv3 Algorithm -- 6 Experiments and Results -- 6.1 Experimental Setup -- 6.2 Results -- 7 Conclusion -- References -- Feature Extraction-Based Phishing URL Detection Using Machine Learning Techniques -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Existing Methodology -- 3.2 Proposed Methodology -- 4 Implementation -- 4.1 Pseudocode -- 5 Results and Discussions -- 6 Conclusion and Future Scope -- References -- A Slant Transform and Diagonal Laplacian Based Fusion Algorithm for Visual Sensor Network Applications -- 1 Introduction -- 2 Slant Transform -- 3 Diagonal Laplacian (DL) Focus Measure -- 4 Proposed Algorithm -- 5 Performance Measures -- 5.1 Reference Measures -- 5.2 Non-reference Measures -- 6 Simulation Results and Analysis -- 7 Conclusions -- References -- Tracking Industrial Assets Using Blockchain Technology -- 1 Introduction -- 2 Related Work -- 3 Overview -- 3.1 Equip-Chain Architecture -- 3.2 Tracking of Industrial Assets Using Blockchain -- 3.3 Blockchain Implementation Through Application Server -- 4 Working Methodology -- 5 Conclusion -- References -- Prototype for Recognition and Classification of Textile Weaves Using Machine Learning -- 1 Introduction -- 2 Background -- 2.1 Fabrics -- 2.2 Artificial Neural Networks -- 2.3 Bilinear Convolutional Neural Networks -- 2.4 Related Works -- 3 Development -- 3.1 Sampling -- 3.2 Dataset Creation -- 3.3 Pre-processing. 3.4 Model Training -- 3.5 Analysis of Results -- 3.6 Hyperparameters Optimization -- 4 Conclusion and Recommendations -- References -- Development of Deep Neural Network Algorithm for Identification of Cerebral Microstructural Changes in Brain Tumor for Post-COVID-19 Patients -- 1 Introduction -- 1.1 Background -- 1.2 Advantages of CNN for Post-COVID-19 Analysis -- 2 Related Work -- 3 Proposed Method -- 4 Results and Discussion -- 5 Conclusion -- References -- A Codebook Modification Method of Vector Quantization to Enhance Compression Ratio -- 1 Introduction -- 2 Literature Review -- 3 Proposed Method -- 3.1 Compression -- 3.2 Decompression -- 3.3 Memory Requirements for Proposed Method -- 4 Experimental Results -- 5 Conclusion -- References -- Intra Change Detection in Shelf Images Using Fast Discrete Curvelet Transform and Features from Accelerated Segment Test -- 1 Introduction -- 2 Background Study on Change Detection -- 3 Concepts Used -- 3.1 Wavelets -- 3.2 FAST Algorithm -- 4 Proposed Change Detection Algorithm -- 4.1 Misplaced Object Detection and Localization -- 5 Experimental Results and Discussion -- 5.1 Dataset -- 5.2 Results and Discussion -- 6 Conclusion -- References -- Mucormycosis Vaccine Design using Bioinformatic Tools -- 1 Introduction -- 1.1 Reverse Vaccinology -- 1.2 Immunoinformatics -- 1.3 Structural Vaccinology -- 2 Materials and Method -- 2.1 Sequence Retrieval and Analysis -- 2.2 Prediction of B-cell and T-cell Epitopes -- 2.3 Retrieval of the Protein and Epitope Structures -- 2.4 Molecular Docking Studies -- 3 Results -- 3.1 Prediction of Antigenicity and Physicochemical Analysis -- 3.2 B- and T-cell Epitope Prediction -- 3.3 Retrieval of the Protein and Epitope Structures -- 3.4 Molecular Docking Analysis -- 4 Discussion -- 5 Conclusion -- References. Blockchain Implementation in IoT Privacy and Cyber Security Feasibility Study and Analysis -- 1 Introduction -- 2 Security Challenges and Role of Blockchain in IoT -- 2.1 Challenges -- 2.2 IoT Categories -- 2.3 Role of Blockchain and Integration with IoT -- 2.4 Blockchain IoT Market Growth Rate -- 3 Overview of Blockchain Technology -- 3.1 Properties of Blockchain -- 3.2 Types of Blockchain -- 3.3 Categories of Blockchains -- 3.4 Benefits of Blockchain -- 3.5 Blockchain Platforms for IoT -- 3.6 Blockchain Implementation in Different Domains -- 4 SWOT Analysis of Blockchain -- 5 Ethereum Blockchain -- 5.1 Smart Contract -- 5.2 Cryptography in Ethereum -- 5.3 Implementation and Testing -- 6 Discussion and Analysis -- 7 Conclusion -- References -- Modified ResNetModel for MSI and MSS Classification of Gastrointestinal Cancer -- 1 Introduction -- 2 Model Description -- 2.1 Baseline Approach -- 2.2 Transfer Learning Approach -- 2.3 Modified ResNet Model -- 3 Results and Discussion -- 3.1 Baseline Models -- 3.2 Transfer learning Models -- 3.3 Modified ResNet Model -- 4 Conclusion -- References -- An IoT-Enabled Healthcare System: Auto-predictive Colorectal Cancer with Colonoscopy Images Combined with the Convolutional Neural Network -- 1 Introduction -- 2 Proposed Computer-Assisted Detection (CAD) System -- 2.1 Large Intestine -- 2.2 Colonoscopy -- 2.3 Data Storage and Cloud Storage -- 2.4 Colonoscopy Image Datasets -- 2.5 Image Pre-processing -- 2.6 Feature Extraction -- 2.7 Feature Selection -- 2.8 Convolutional Neural Networks (CNN) -- 2.9 Convolutional Layer -- 3 Results -- 3.1 Datasets -- 3.2 Split Polyps and Non-polyps -- 3.3 Convolutional Neural Networks -- 3.4 Optimized Hyperparameters for 3 Conv-FC -- 4 Conclusion -- References -- Unfair Review Detection on Amazon Reviews Using Sentiment Analysis -- 1 Introduction -- 2 Literature Review. 3 Proposed Work. |
| Record Nr. | UNISA-996549470103316 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
High Performance Computing and Networking : Select Proceedings of CHSN 2021 / / edited by Ch. Satyanarayana, Debasis Samanta, Xiao-Zhi Gao, Rajiv Kumar Kapoor
| High Performance Computing and Networking : Select Proceedings of CHSN 2021 / / edited by Ch. Satyanarayana, Debasis Samanta, Xiao-Zhi Gao, Rajiv Kumar Kapoor |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (652 pages) |
| Disciplina | 929.605 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Computer engineering
Computer networks Electronic digital computers - Evaluation Artificial intelligence Computer Engineering and Networks System Performance and Evaluation Artificial Intelligence |
| ISBN |
981-16-9885-6
981-16-9884-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An effective DNLP optimization method for Economic Load Dispatch Problem -- Multi-Perspective Reasoning Using Adaptive Learning -- Ink Recognition using TDNN and Bi-LSTM -- Sarcasm Detection for Sentiment Analysis : A RNN based approach using Machine Learning -- Statistical analysis of Soil properties using Non-Imaging Spectral data for quantitative analysis of Raver Tehsil -- Building an efficient Heart Disease Prediction system by using clustering techniques. |
| Record Nr. | UNINA-9910743339503321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine learning and internet of things for societal issues / / Ch Satyanarayana [and three others], editors
| Machine learning and internet of things for societal issues / / Ch Satyanarayana [and three others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (169 pages) |
| Disciplina | 004.678 |
| Collana | Advanced technologies and societal change |
| Soggetto topico |
Internet of things
Machine learning Signal processing |
| ISBN | 981-16-5090-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464554003316 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine learning and internet of things for societal issues / / Ch Satyanarayana [and three others], editors
| Machine learning and internet of things for societal issues / / Ch Satyanarayana [and three others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (169 pages) |
| Disciplina | 004.678 |
| Collana | Advanced technologies and societal change |
| Soggetto topico |
Internet of things
Machine learning Signal processing |
| ISBN |
981-16-5089-6
981-16-5090-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996549371403316 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning and Internet of Things for Societal Issues / / edited by Ch. Satyanarayana, Xiao-Zhi Gao, Choo-Yee Ting, Naresh Babu Muppalaneni
| Machine Learning and Internet of Things for Societal Issues / / edited by Ch. Satyanarayana, Xiao-Zhi Gao, Choo-Yee Ting, Naresh Babu Muppalaneni |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (169 pages) |
| Disciplina | 004.678 |
| Collana | Advanced Technologies and Societal Change |
| Soggetto topico |
Machine learning
Internet of things Artificial intelligence Computational intelligence Signal processing Machine Learning Internet of Things Artificial Intelligence Computational Intelligence Signal, Speech and Image Processing |
| ISBN |
981-16-5089-6
981-16-5090-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine and Deep learning techniques for Image Classification -- IoT based Techniques for smart Agriculture -- Machine and Deep learning techniques for Satellite Image Analysis -- Machine and Deep learning techniques for Automatic Speech Recognition -- Machine and Deep learning techniques for Object Detection -- Machine and Deep learning techniques for Object Segmentation -- Machine and Deep learning techniques for Automatic Image Caption Generation -- Machine and Deep learning techniques for Automatically Adding Sounds to Silent Movies -- Machine and Deep learning techniques for News Aggregation and Fraud News Detection -- Machine and Deep learning techniques for Natural Language Processing -- Machine and Deep learning techniques for Smart Sign Language Recognition System for Dumb and Deaf People -- Machine and Deep learning techniques for Smart Text Reader System for Blind Person -- Machine and Deep learning techniques for Automatic Language Translation System -- Machine and Deep learning techniques for Automatic Handwriting Generation System -- Machine and Deep learning techniques for Biomedical Image Processing Applications -- Machine and Deep learning techniques for Healthcare Monitoring System -- Machine and Deep learning techniques for Impact of IoT in Biomedical Applications -- Emerging Pedagogies of Machine Learning and Deep Learning in Smart Agriculture -- Machine and Deep learning techniques in Finance -- Machine and Deep Learning Techniques in System Biology -- IoT Based Road Safety Applications. |
| Record Nr. | UNINA-9910743350303321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of the international conference on computer vision, high performance computing, smart devices and networks : CHSN-2020 / / Ch Satyanarayana [and three others], editors
| Proceedings of the international conference on computer vision, high performance computing, smart devices and networks : CHSN-2020 / / Ch Satyanarayana [and three others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (208 pages) |
| Disciplina | 004.6 |
| Collana | Advanced technologies and societal change |
| Soggetto topico |
Computer networks
Computer vision High performance computing |
| ISBN | 981-19-4044-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Committee -- Preface -- Advisory Board -- Contents -- 1 Character Recognition System Using CNN for Sanskrit Text -- Introduction -- Sanskrit Language -- Problems in Sanskrit Text -- Vowels and Consonants -- Literature Survey -- Input Documents -- Preprocessing -- Segmentation -- Feature Extraction -- Classification -- Unicode Mapping -- Results and Discussion -- Conclusion -- References -- 2 Resampling Imbalanced Data and Impact of Attribute Selection Methods in High Dimensional Data -- Introduction -- Current Approach -- Re-sampling Method -- Feature Selection -- Experimental Setup -- Datasets -- Design of Experiments -- Result and Discussion -- Conclusion -- References -- 3 Wireless sEMG Acquisition and Monitoring-A Survey -- Introduction -- Literature Survey -- Bluetooth-Based Wireless EMG Sensor -- Wi-Fi-Based Wireless EMG Sensor -- X-Bee-Based Wireless EMG Sensor -- Other Wireless EMG Sensor -- Comparison of the Existing Systems -- Summary -- Conclusion -- References -- 4 Black Hole Algorithm for BigData Anonymization -- Introduction -- Related Work -- Proposed Approach -- Experimental Result -- Results and Discussion -- Conclusion -- References -- 5 Sleep Quality Analysis Using Motion Signals and Heart Rate -- Introduction -- Materials and Methods -- Data Used -- Feature Extraction -- Feature Selection -- Classification -- Sleep Efficiency and Sleep Quality -- Results and Discussion -- Conclusion -- References -- 6 Prediction and Performance Assessment in Woman Handball Athletes by Employing Machine Learning Methods -- Introduction -- Related Works -- Proposed Methodology -- Dataset -- Machine Learning Models -- Results and Discussion -- Conclusion -- References -- 7 Deep Learning for Object Detection: A Survey -- Introduction -- Backbone Networks -- Characteristic Baselines -- Dataset Salsometrics.
Examination of General Image Object Recognition Approaches -- Applications also Branches -- Conclusion -- References -- 8 Routing Protocols: A Survey -- Introduction -- Routing Protocols and Classification -- Routing Protocols -- Proactive Routing Protocol -- Reactive Routing Protocol -- Hybrid Routing Protocol -- Other Routing Protocols -- Methods Utilization Chart -- Conclusion -- References -- 9 Performance Evaluation of Segmentation Algorithms in Non Contrast and Contrast MRI Images for Region of Interest -- Introduction -- Imaging Modalities and Their Contrast Media -- Proposed Methodology -- Preprocessing of MRI Images -- Contrast Limited Adaptive Histogram Equalisation (CLAHE) -- Selection and Segmentation of ROI -- Popular Segmentation Algorithms -- Performance Metrics -- Results and Discussions -- Conclusions -- References -- 10 A Novel Curve-Energy Framework to Find the Shortest Possible Lines Through Computer Vision -- Introduction -- Related Works -- Proposed Model -- Results and Discussion -- Conclusions -- References -- 11 A Novel Hybrid Tracking Algorithm for Client-Server Connection Using a Machine Learning Technique -- Introduction -- Related Works -- Proposed Methods -- Experimental Results -- Conclusion -- References -- 12 Surface Damage Indicators Identification Through Simulation Studies in Computer Vision -- Introduction -- Related Works -- Proposed Method -- Construction of UIS -- Conclusions -- References -- 13 Gaussian Scale Concept to Reduce the Computation in Detection of Surface Defects in Machine Vision -- Introduction -- Related Works -- Proposed Works -- Results and Discussions -- Conclusion -- References -- 14 High-Performance Computing Framework for Virtual Memory Using CNN -- Introduction -- Related Works -- Proposed Method -- Results and Discussions -- Conclusion -- References. 15 High-Performance Computing Center Framework for Smart Farming -- Introduction -- Related Works -- Proposed Method -- Results and Discussion -- Conclusions -- References -- 16 Generalized and Simulated Architecture for Seamless Experiment Conditions in Cloud Computing -- Introduction -- Related Works -- Proposed System -- Modeling -- Evaluation -- Conclusion -- References -- 17 Data Mining Approach for Prediction of Various Risk Factors in Supply Chain Management -- Introduction -- Related Works -- Proposed Technique -- Results and Discussions -- Interpreting Results -- Implementing and Testing -- Conclusion -- References -- 18 Sensor-Based Radio Frequency Identification Technique for the Effective Design Process of Diverse Applications Using WSN -- Introduction -- Related Works -- Proposed Methods -- Integration Framework -- Implementation -- Wireless Sensor Network Protocols -- Observations -- Conclusion -- References -- 19 Reliable Smart Grid Framework Designs Through Data Processing and Analysis Process -- Introduction -- Related Works -- Proposed Framework -- Observations -- Conclusions -- References -- 20 A Novel and Self Adapting Machine Learning Approach of ECG Signal Classification in Association with Cardiac Arrhythmia -- Introduction -- Objective -- Problem Definition -- Existed System -- Proposed System -- Literature Survey -- Proposed Solution -- Proposed System -- Proposed Algorithm -- Design and Implementation -- Implementation of the Proposed Solution -- Experimental Results and Discussion -- Conclusion and Future Work -- References. |
| Record Nr. | UNISA-996499857403316 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Proceedings of the International Conference on Computer Vision, High Performance Computing, Smart Devices and Networks : CHSN-2020 / / edited by Ch Satyanarayana, Xiao-Zhi Gao, Choo-Yee Ting, Naresh Babu Muppalaneni
| Proceedings of the International Conference on Computer Vision, High Performance Computing, Smart Devices and Networks : CHSN-2020 / / edited by Ch Satyanarayana, Xiao-Zhi Gao, Choo-Yee Ting, Naresh Babu Muppalaneni |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (208 pages) |
| Disciplina | 004.6 |
| Collana | Advanced Technologies and Societal Change |
| Soggetto topico |
Computational intelligence
User interfaces (Computer systems) Human-computer interaction Materials - Analysis Imaging systems Wireless communication systems Mobile communication systems Signal processing Internet of things Computational Intelligence User Interfaces and Human Computer Interaction Imaging Techniques Wireless and Mobile Communication Signal, Speech and Image Processing Internet of Things Visió per ordinador Càlcul intensiu (Informàtica) Xarxes d'ordinadors |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN |
9789811940446
9811940444 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Character Recognition System using CNN For Sanskrit Text -- Resampling Imbalanced Data and Impact of Attribute Selection Methods in High Dimensional Data -- Wireless sEMG Acquisition and Monitoring- A Survey -- Black Hole Algorithm for Bigdata Anonymization -- Sleep Quality Analysis using Motion Signals and Heart Rate -- Prediction and Performance Assessment in Woman Handball Athletes by Employing Machine Learning Methods -- Adaptive Sparse K-Means and Optimization Enabled Neural Network from Gene-Expression Data for Cancer Classification -- Deep Learning for Object Detection: A Survey Routing Protocols: A Survey -- Performance Evaluation of Segmentation Algorithms in Non Contrast and Contrast MRI Images for Region of Interest. |
| Record Nr. | UNINA-9910629297303321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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