Record Nr.

UNISA996549470103316

Titolo

High performance computing and networking : select proceedings of CHSN 2021 / / edited by Ch Satyanarayana [and three others]

Pubbl/distr/stampa


Singapore : , : Springer, , [2022]
©2022

ISBN

981-16-9885-6

981-16-9884-8

Descrizione fisica

1 online resource (652 pages)

Collana

Lecture Notes in Electrical Engineering ; ; v.853

Disciplina

929.605

Soggetti

Computer vision

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

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.

UNIORUON00187601

Autore

VSEVOLOD, Ivanov V.

Titolo

U : roman ; Dikie ljudi : rasskazy / Vsevolod Ivanov

Pubbl/distr/stampa


Moskva, : Kniga, 1988

ISBN

52-12-00085-8