Machine intelligence and soft computing : proceedings of ICMISC 2021 / / edited by Debnath Bhattacharyya, Sanjoy Kumar Saha, Philippe Fournier-Viger

• Record Nr.: UNINA9910743350403321
• Pubbl/distr/stampa: Singapore : , : Springer, , [2022]; ©2022
• ISBN: 981-16-8363-8; 981-16-8364-6
• Descrizione fisica: 1 online resource (198 pages)
• Collana: Advances in Intelligent Systems and Computing ; ; v.1419
• Disciplina: 060
• Soggetti: Artificial intelligence
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Conference Committee Members -- Preface -- Contents -- About the Editors -- Hybrid Fruit Fly Optimization for EHR Applications in Cloud Environments for Load Balancing Optimization -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Technology Requirements -- 3.2 Implementation -- 4 Results -- 5 Conclusion -- References -- Distributed Machine Learning-An Intuitive Approach -- 1 Introduction -- 2 Challenges with Machine Learning Computing -- 3 What to Distribute? -- 4 How to Distribute? -- 5 Challenges in Distribution -- 6 Case Study: Support Vector Machine -- 7 Conclusions -- References -- Prediction of Wall Street Through AI Approach -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Yahoo Finance -- 3.2 Dataset Input -- 3.3 Data Visualization -- 3.4 Algorithms Used for Prediction -- 3.5 Performance Evaluation -- 4 Conclusion -- References -- A Hybrid Intelligent Approach for Early Identification of Different Diseases in Plants -- 1 Introduction -- 1.1 Types of Diseases in Classification -- 2 Related Work -- 3 Proposed Work -- 4 Feature Extraction -- 5 Role of Clustering and Classification -- 6 Algorithm -- 7 Results and Discussion -- 8 Conclusion -- References -- Analyzing Comments on Social Media with XG Boost Mechanism -- 1 Introduction -- 1.1 Sentiment Analysis Techniques -- 1.2 Lexicon Based Approach -- 1.3 Comparison -- 2 Literature Review ; -- 3 Results and Discussions -- 4 Conclusion -- References -- Distributed Edge Learning in Emerging Virtual Reality Systems -- 1 Introduction -- 2 Literature Review -- 3 Method -- 3.1 VR Systems -- 3.2 MEC -- 3.3 A Model for VR Systems Based on Edge Computing -- 3.4 Simulation Analysis -- 4 Results and Discussions -- 4.1 Comparison of Task Offloading Performance Among Models -- 5 Conclusion -- References.; A Review on Deep Learning-Based Object Recognition Algorithms -- 1 Introduction -- 2 Literature Review -- 3 Results and Analysis -- 4 Conclusion and Future Work -- References -- A Study on Human-Machine Interaction in Banking Services During COVID-19 -- 1 Introduction -- 1.1 Research Problem -- 1.2 Objectives of the Study -- 1.3 Research Methodology -- 2 Review of Literature -- 3 Theoretical Framework -- 3.1 What Are Human-Machine Interactions? -- 3.2 Advantages of HMI [16] -- 3.3 Disadvantages of Human-Machine Interface [16] -- 4 Results and Discussions -- 5 Conclusion -- References -- A Study on Review of Application of Blockchain Technology in Banking Industry -- 1 Introduction -- 2 What is a Blockchain? -- 2.1 What is Distributed Ledger Technology? [3] -- 2.2 Transaction in Blockchain -- 2.3 Growth in Blockchain Technology -- 3 Applications of Blockchain in Various Sectors -- 4 Blockchain in Banking -- 5 Banks Adopting Blockchain Technology -- 6 Results and Discussion -- 7 Conclusion -- References -- Face Expression Recognition in Video Using Hybrid Feature Extractor and CNN-LSTM -- 1 Introduction -- 2 Related Work -- 2.1 Literature Review -- 3 Methodology -- 3.1 Preprocessing of Video and Face Detection -- 3.2 Extraction of the Hybrid Features -- 3.3 FER Using Hybrid CNN-LSTM Classifier -- 4 Results and Discussion -- 4.1 Evaluation Metrics -- 4.2 Result Analysis -- 5 Conclusion -- References -- Two-Node Tandem Communication Networks to Avoid Congestion -- 1 Introduction -- 2 Queuing Model -- 3 Optimal Strategies of the Representation -- 4 Numerical Illustration and Sensitivity Analysis -- 5 Sensitivity Investigation -- 6 Conclusion -- References -- Detection of Fake Profiles in Instagram Using Supervised Machine Learning -- 1 First Section -- 1.1 Proposed Methodology -- 2 Literature Survey -- 2.1 Dataset Information -- 2.2 Data Collection.; 2.3 Dataset Annotation -- 3 Experimental Results -- 4 Conclusion -- References -- Review on Space and Security Issues in Cloud Computing -- 1 Introduction -- 2 Cloud Storage Models -- 3 Safety and Security Issues of Cloud Storage Space -- 4 Conclusion -- References -- Anomaly Detection in Solar Radiation Forecasting Using LSTM Autoencoder Architecture -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Work -- 4 Results and Implementation -- 5 Conclusion -- References -- Medical Image Denoising Using Non-Local Means Filtering -- 1 Introduction -- 2 Related Work -- 2.1 Method -- 3 Results -- 4 Conclusion -- References -- Skin Disease Detection Using Machine Learning Techniques -- 1 Introduction -- 2 Related Work Analysis -- 3 Proposed Work -- 3.1 Modules -- 4 Results -- 5 Conclusions -- References -- Detecting False Data Attacks Using KPG-MT Technique -- 1 Introduction -- 2 Related Works -- 3 Proposed System -- 4 Results and Discussions -- 5 Conclusion -- References -- Utilization of Machine Learning Techniques in Pharma -- 1 Introduction -- 2 Disease Diagnosis or Identification of Disease -- 3 The Discovery of Drugs -- 4 The Prediction of Diseases -- 5 Research on Clinical Trials -- 6 Treatment Related to Personnel -- 7 Health Records Storing on Electronic Models -- 8 Conclusion -- References -- New Event Detection for Web Recommendation Using Web Mining -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodologies -- 4 ; Conclusion -- References -- An Automatic Convolution Neural Network-Based Framework for Robust Classification of Breast Cancer Histopathological Images -- 1 Introduction -- 2 Literature Survey -- 2.1 Breast Cancer Prediction Using Data Mining Method -- 2.2 By Means of Machine Learning Instrument in Categorization of Breast Cancer.; 2.3 Analytic Correctness of Dissimilar Machine Learning Algorithms for Breast Cancer Danger Computation -- 2.4 By Means of Machine Learning Algorithms for Breast Cancer Danger Forecast and Analysis -- 2.5 Machine Learning with Request in Breast Cancer Analysis and Forecast -- 3 System Implementation -- 3.1 Proposed System -- 3.2 Feature Extraction -- 4 Conclusion -- References -- Big Data Analytics Services in Health Care: An Extensive Review -- 1 Introduction -- 2 Related Work -- 2.1 Data Mining in Medical Sector -- 2.2 Privacy Issues of Big Data in the Medical Sector -- 2.3 Privacy Problem Solutions in Medical Sector -- 3 Methodology -- 3.1 Security Measures of Healthcare Using Big Data -- 3.2 Privacy Assessment Model -- 3.3 Architecture -- 4 Experimental Results -- 5 Discussion -- 6 Conclusion -- References -- Facial Expression Recognition Model Using Deep CNN and Hybrid Feature Selection Pre-processing Technique -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Model Description -- 3.2 Model Data Flow -- 3.3 Proposed Algorithm -- 4 Experimentation and Results -- 4.1 Dataset and Experimental Setup -- 4.2 Graphical Representation of Results -- 4.3 Comparison Table -- References -- Coronavirus (COVID-19) Detection and Classification Using High Resolution Computed Tomography (HR-CT) Imageries -- 1 Introduction -- 2 Methods -- 3 Experimental Results -- 4 Conclusion -- References -- Author Index.