Details

Subject(s)

• Artificial intelligence [Browse]

Editor

• Bhattacharyya, Debnath [Browse]
• Saha, Sanjoy Kumar [Browse]
• Fournier-Viger, Philippe [Browse]

Series

• Advances in Intelligent Systems and Computing [More in this series]
• Advances in Intelligent Systems and Computing ; v.1419 [More in this series]

Bibliographic references

Includes bibliographical references and index.

Source of description

Description based on print version record.

Contents

• 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
• 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
• Prediction of Wall Street Through AI Approach
• 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
• A Hybrid Intelligent Approach for Early Identification of Different Diseases in Plants
• 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
• Analyzing Comments on Social Media with XG Boost Mechanism
• 1.1 Sentiment Analysis Techniques
• 1.2 Lexicon Based Approach
• 1.3 Comparison
• 2 Literature Review
• 3 Results and Discussions
• Distributed Edge Learning in Emerging Virtual Reality Systems
• 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
• References.
• A Review on Deep Learning-Based Object Recognition Algorithms
• 3 Results and Analysis
• 4 Conclusion and Future Work
• A Study on Human-Machine Interaction in Banking Services During COVID-19
• 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]
• A Study on Review of Application of Blockchain Technology in Banking Industry
• 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
• Face Expression Recognition in Video Using Hybrid Feature Extractor and CNN-LSTM
• 2.1 Literature Review
• 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
• Two-Node Tandem Communication Networks to Avoid Congestion
• 2 Queuing Model
• 3 Optimal Strategies of the Representation
• 4 Numerical Illustration and Sensitivity Analysis
• 5 Sensitivity Investigation
• 6 Conclusion
• Detection of Fake Profiles in Instagram Using Supervised Machine Learning
• 1 First Section
• 1.1 Proposed Methodology
• 2.1 Dataset Information
• 2.2 Data Collection.
• 2.3 Dataset Annotation
• 3 Experimental Results
• Review on Space and Security Issues in Cloud Computing
• 2 Cloud Storage Models
• 3 Safety and Security Issues of Cloud Storage Space
• Anomaly Detection in Solar Radiation Forecasting Using LSTM Autoencoder Architecture
• 4 Results and Implementation
• Medical Image Denoising Using Non-Local Means Filtering
• 2.1 Method
• 3 Results
• Skin Disease Detection Using Machine Learning Techniques
• 2 Related Work Analysis
• 3.1 Modules
• 5 Conclusions
• Detecting False Data Attacks Using KPG-MT Technique
• 2 Related Works
• 3 Proposed System
• Utilization of Machine Learning Techniques in Pharma
• 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
• New Event Detection for Web Recommendation Using Web Mining
• 3 Proposed Methodologies
• An Automatic Convolution Neural Network-Based Framework for Robust Classification of Breast Cancer Histopathological Images
• 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
• Big Data Analytics Services in Health Care: An Extensive Review
• 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
• 3.1 Security Measures of Healthcare Using Big Data
• 3.2 Privacy Assessment Model
• 3.3 Architecture
• 4 Experimental Results
• 5 Discussion
• Facial Expression Recognition Model Using Deep CNN and Hybrid Feature Selection Pre-processing Technique
• 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
• Coronavirus (COVID-19) Detection and Classification Using High Resolution Computed Tomography (HR-CT) Imageries
• 2 Methods
• Author Index.

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ISBN

• 981-16-8363-8
• 981-16-8364-6

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