Machine Intelligence and Soft Computing: Proceedings of ICMISC 2021 (Advances in Intelligent Systems and Computing, 1419)

✍ Scribed by Debnath Bhattacharyya (editor), Sanjoy Kumar Saha (editor), Philippe Fournier-Viger (editor)

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 198
• Category: Library

✦ Synopsis

This book gathers selected papers presented at the International Conference on Machine Intelligence and Soft Computing (ICMISC 2021), organized by Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India during 22 – 24 September 2021. The topics covered in the book include the artificial neural networks and fuzzy logic, cloud computing, evolutionary algorithms and computation, machine learning, metaheuristics and swarm intelligence, neuro-fuzzy system, soft computing and decision support systems, soft computing applications in actuarial science, soft computing for database deadlock resolution, soft computing methods in engineering, and support vector machine.

✦ Table of Contents

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