Intelligent Systems and Applications: Select Proceedings of ICISA 2022

✍ Scribed by Anand J. Kulkarni, Seyedali Mirjalili, Siba Kumar Udgata

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 512
• Series: Lecture Notes in Electrical Engineering, 959
• Category: Library

✦ Synopsis

This book comprises the proceedings of the International Conference on Intelligent Systems and Applications (ICISA 2022). The contents of this volume focus on novel and modified artificial intelligence and machine learning-based methods and their applications in robotics, pharmaceutics, banking & finance, agriculture, food processing, crime prevention, smart homes, transportation, traffic control, and wildlife conservation, etc. This volume will prove a valuable resource for those in academia and industry. 

✦ Table of Contents

Preface
Contents
About the Editors
Intelligent Systems in Agriculture
An Efficient Approach for Plant Leaf Species Identification Based on SVM and SMO and Performance Improvement
1 Introduction
2 Methodology
3 Spider Monkey Optimization Algorithm (SMO)
3.1 Population Initiation
3.2 Local Leader Phase (LLP)
3.3 Global Leader Phase (GLP)
4 Support Vector Machine
5 Simulation Results
6 Conclusion
References
Smart IoT-Based Pesticides Recommendation System for Rice Diseases
1 Introduction
2 Literature Survey
3 Methodology
3.1 Materials and Methodology
4 Results
4.1 Evaluation Metrics
4.2 Sensors Results and Readings
5 Conclusion
References
Classification of Tomato Leaf Diseases: A Comparison of Different Optimizers
1 Introduction
2 Related Work
3 Methodology
4 Results and Discussion
5 Conclusion
References
Optimization of Rainfall Intensities Classification Based on Artificial Intelligence Using Recurrent Neural Network
1 Introduction
1.1 Data and Methodology
1.2 MSG Data and Radar Data
1.3 Selection of Input Parameters
1.4 RNN Model
1.5 Choice of RNN Architecture
2 Application and Classification Results
2.1 Application to a Scene
2.2 Application to All Scenes
3 Conclusion
References
Tomato Plant Leaf Disease Detection Using Inception V3
1 Introduction
2 Related Research
3 Workflow for Tomato Plant Disease Detection
3.1 Inception V3
3.2 Dataset Description
3.3 Intermediate Results of Model Training
4 Conclusion
References
Astute Farm Monitoring Using WSN and AI—A Solution for Optimally Monitoring Environmental Conditions
1 Introduction
2 Literature Review
3 Proposed Work
3.1 Proposed System
3.2 Components Used in Proposed System
3.3 System Modules
4 Result and Discussion
4.1 Dataset Description and Experimental Setup
4.2 Evaluation Metrics
4.3 Result Analysis
5 Conclusion
References
Intelligent Systems in Internet of Things and Cloud Computing
A Comprehensive Literature Review of Artificial Intelligent Practices in the Field of Penetration Testing
1 Introduction
2 Existing Automated Penetration Testing Models
3 Results and Discussion
4 Future Directions
5 Conclusions
References
IoT-Cloud-Enabled Smart Framework for Real-World Applications
1 Introduction
1.1 Motivation for the Proposed Framework
2 Related Work
3 Proposed IoT-Cloud-Enabled Smart Framework for Real-World Applications
3.1 Sensor Connectivity and Network Phase
3.2 Gateway and Network Phase
3.3 Cloud Computing Phase
3.4 IoT-Cloud Applications Phase
4 Use Case Scenario (Air Quality Monitoring)
5 Various Real-World IoT-Cloud Applications
5.1 Smart Health Care
5.2 Smart Agriculture
5.3 Smart Home
5.4 Smart Environment Monitoring
6 Related Challenges of IoT-Cloud-Enabled Applications
6.1 Privacy and Security
6.2 Reliability
6.3 Scalability
6.4 Performance
6.5 Heterogeneity
6.6 Resource Allocation
7 Conclusions and Future Directions
References
Empirical Analysis of the Impact of Homomorphic Encryption on Cloud Computing
1 Introduction
2 Prioritise Risks Insights to Uncover Hidden Threats
3 Working Principle
3.1 RSA
3.2 Elgamal
3.3 Paillier
3.4 DGHV
4 Result with Statistical Analysis
5 Conclusion
References
Comparative Analysis of Full Training Set and Cross-Validation for Machine Learning Approach to Run Smart Wheelchair
1 Introduction
2 Background
3 Methodology
4 Data Analysis and Modeling
5 Performance Evaluation Parameter
6 Experimental Setup
7 Result and Discussion
8 Conclusion
References
Relationship LSTM Network for Prediction in Social Internet of Things
1 Introduction
2 Related Work
3 Problem Statement
4 System Model
4.1 Problem Formulation
5 Proposed Model Design and Algorithm
6 Results
7 Conclusion and Future Work
References
Relationship-Based AES Security Model for Social Internet of Things
1 Introduction
2 Related Works
3 Problem Statement
4 System Model
4.1 Problem Formulation
5 Proposed Security Model Design and Algorithm
6 Results and Discussion
7 Conclusion and Future Work
References
Intelligent Systems in Image Processing and Deep Learning
Face and Fingerprint Fusion Using Deep Learning
1 Introduction
2 Literature Survey
3 Recent Works
4 Methodology
4.1 Vggnet
4.2 ResNet
4.3 Random Forest
4.4 Decision Tree
4.5 KNN
5 Experimental Results
5.1 VGG16
5.2 VGG19
5.3 ResNet
6 Conclusion
References
Artificial Intelligence for Satellite Image Processing: Application to Rainfall Estimation
1 Introduction
2 Satellite Data
3 Application of AI to the Rainfall Estimation
3.1 Techniques Based on Machine Learning
3.2 Contribution of Deep Learning
4 Conclusion
References
Cyber Security and Data Security
A Comprehensive Review of Various Approaches to Intrusion Detection Systems
1 Introduction
2 Intrusion Detection System (IDS)
3 Wireless Intrusion Detection System
4 Wireless Intrusion Detection, Prevention, and Attack
5 IDS for 802.11 Networks—A Review
6 IDS Using Machine Learning (ML) and Deep Learning (DL)
7 Experiment
8 Conclusion and Future Scope
References
Extensive Analysis of Intrusion Detection System Using Deep Learning Techniques
1 Introduction
2 Review of Deep Learning Based IDS Models
3 Performance Analysis
4 Challenges and Future Developments
5 Conclusion
References
Intelligent Systems for Social Welfare I
A Comprehensive Comparison Between Pre-trained and Custom Trained Object Detection Model for Indian Traffic Scenarios
1 Introduction
2 Object Detection and YOLO
3 Methodology
4 Dataset
5 Testing
6 Evaluation of Results
7 Conclusion
References
Detection of Outdoor Traffic and Kids Playing Scene for Visually Impaired People
1 Introduction and Literature Survey
2 Methodology
2.1 Dataset and Image Pre-processing
2.2 Feature Vector Extraction
2.3 Feature Clustering and Dimensionality Reduction
2.4 Classification and Recognition of Traffic Jam and Kids Playing Scene
3 Result
4 Conclusion
References
A Real-Time Detection of Indian Traffic Signs for Visually Impaired People
1 Introduction
2 Methodology
2.1 Dataset Collection and Pre-processing
2.2 Feature Vector Compilation
2.3 Dimensionality Reduction
2.4 Classification and Recognition of Traffic Sign
3 Result
4 Conclusion
References
Electronic Travel Aid for Crosswalk Detection for Visually Challenged People
1 Introduction
2 Methodology
3 Performance Evaluation and Results
4 Conclusion
References
Intelligent Systems for Social Media
Twitter Sentiment Analysis Using Enhanced BERT
1 Introduction
2 Literature Survey
3 Proposed Enhanced BERT Model
4 Experimental Results and Analysis
5 Conclusion
References
A Study on Sentiment Analysis of Twitter Data in Marathi Language for Measuring Depression
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Collection of Marathi Tweet Data
3.2 Preprocessing of Data
3.3 Processing of Data
3.4 Feature Selection Methods
3.5 Feature Extraction
3.6 Methods
4 Conclusion
5 Future Work
References
GMM-EM-ACO Model for Congestion Free Routing in Social Internet of Things
1 Introduction
2 Related Work
3 Problem Statement
4 System Model
4.1 Problem Formulation
5 Proposed Model
6 Algorithm
7 Results
8 Conclusion and Future Work
References
Natural Language Processing
Gesture Recognition for American Sign Language Using Pytorch and Convolutional Neural Network
1 Introduction
2 Literature Review
3 Proposed System and Methodology
4 Results
5 Conclusions and Future Work
References
Enhanced Preprocessing Technique for Degraded Printed Marathi Characters
1 Introduction
2 Related Work
3 Data Collection
4 Preprocessing and Segmentation
5 Assessment Factors for Enhanced Image
5.1 Mutual Information
5.2 Mean Square Error
5.3 Peak Signal to Noise Ratio
6 Experimental Results and Discussion
7 Conclusion
References
Intelligent Systems in Medical and Healthcare Management
Cough Audio Signal-Based Clinical Emergency Classification of Corona Variant Infected Patients Using Multiclass SVM
1 Introduction
2 Literature Survey
3 Objective
4 Experimental Setup for Building the Proposed Model
4.1 Audio Features for Classification
4.2 Feature Selection
5 Identification of Class Labels and Building Training Data
5.1 Proposed Model
6 Emergency Classification and Prediction Using Multiclass SVM—Implementation
7 Results and Evaluation
8 Discussion
9 Conclusion
References
Binary Classification of Mammograms Using Horizontal Visibility Graph
1 Introduction
2 Related Works
3 Methodology
3.1 Gist of Datasets
3.2 HVG Representation and HIM
3.3 Training and Performance Analysis
3.4 Overview of Implementation
4 Results
4.1 Results for Image Size 32 times 3232 times32
4.2 Results for Image Size 16 times 1616 times16
4.3 Computation Time Versus Accuracy
5 Conclusion
References
An Intelligent Technique for Detecting Diabetic Retinopathy by Comparative Analysis Based on Deep Learning
1 Introduction
2 Literature Review
2.1 Data Preprocessing
2.2 Development of Deep Learning Models
2.3 Exceptional Techniques
3 Proposed Methodology
4 Comparative Study
4.1 Dataset and Image preprocessing
4.2 CNN Models and Training
4.3 Model Evaluation
4.4 Results
5 Conclusion
References
AI-Based Health Management System
1 Introduction
2 Literature Review
3 Methodology
3.1 Hospital Management System
3.2 Machine Learning Model Selection
3.3 Training and Testing of ML Models
4 Results and Discussion
5 Conclusion
References
Fast Automated Detection of COVID-19 from CT Images Using Transfer Learning Approach
1 Introduction
1.1 Project Contribution
2 Literature Review
2.1 Data Processing and Segmentation
3 Proposed Work
3.1 Proposed System
3.2 COVID-19 Classification with Deep Learning Algorithm (CNN)
3.3 COVID-19 Classification with Transfer Learning Algorithm (VGG19)
3.4 Algorithm: UPDATED Transfer Learning VGG19
4 Result and Discussion
4.1 Evaluation Metrics
4.2 Result Analysis
5 Conclusion
References
AI Based Optimization Algorithms and Applications
Survey of Stochastic Number Generators and Optimizing Techniques
1 Initial Work
2 Recent Developments in Stochastic Computing
3 Errors and Correlation in Stochastic Computing
4 Optimization of Stochastic Circuits
5 Advantages and Drawbacks
6 Conclusion and Future Challenges
References
Dynamic Programming Approach to Solve Real-World Application of Multi-Objective Unbounded Knapsack Problem
1 Introduction
2 Methodology
3 Results and Discussions
4 Conclusion
References
Probabilistic Harmony Search Algorithm: Fitness Proportionate Selection Variants
1 Introduction
2 Methodology
2.1 Fitness Proportionate Selection
2.2 Biased Roulette Wheel HSA (BRHSA)
2.3 Pseudo-Code for BRHSA
2.4 Guided Biased Roulette HSA (GBRHSA)
2.5 Pseudo-Code for GBRHSA
3 Results
3.1 Experimental Setup
3.2 Comparison
4 Conclusions and Future Work
References
Intelligent Warehouse Automation Using Robotic System
1 Introduction
2 Methodology
3 Results
4 Conclusions and Future Directions
References
Application of Cohort Intelligence Algorithm for Numerical Integration
1 Introduction
2 CI for Numerical Integration
3 CI for Integration of One Variable
4 CI for Integration of Two Variables with Constant Limits
5 Investigation of CI for Integration
6 Element Free Galerkin (EFG) Method
7 Conclusion
References
Intelligent Systems for Social Welfare II
AI Enabled Energy Consumption Predictor for Smart Buildings
1 Introduction
2 Literature Review
3 Proposed Model
4 Data Set Analysis and Processing
5 Results and Discussions
6 Conclusion
References
When Sustainable Development Embraces Blockchain: A Systematic Literature Review
1 Introduction
2 Background
3 Review Method
3.1 Research Questions
3.2 Search Strategy
3.3 Inclusion and Exclusion Criteria
3.4 Full-Text Scanning and Manual Search
4 Descriptive Analysis
4.1 Publication Year Overview
4.2 Research Type
4.3 Sustainability Dimension Reported
5 Research Question Result
6 Conclusion
References
KNN-Based Decision Model for Device Argumentation in Ambient Assisted Living
1 Introduction
2 Related Works
3 Problem Statement
4 System Model
4.1 Problem Formulation
5 Proposed Model Design
6 Results and Discussions
7 Conclusion and Future Work
References
Intelligent Systems in Finance and Stock Market
Factors Influencing Behavioural Intentions Towards Investment in Cryptocurrency: A Study on Generation Z Female of India
1 Introduction
2 Theoretical Framework
3 Methodology
3.1 Population and Sample
3.2 Measures
4 Data Analysis
4.1 Common Method Bias
4.2 Measurement Model
4.3 Structural Model
5 Discussion
6 Limitations of the Study and Future Research Directions
7 Conclusion
References
Freight Cost Prediction Using Machine Learning Algorithms
1 Introduction
2 Methodology
3 Results
4 Conclusions and Future Directions
References
An Ontological Framework for Risk Mitigation in Stock Market
1 Introduction
2 Literature
3 Proposed Work
4 Results and Discussion
5 Conclusion
References
Stock Price Prediction Using GRU, SimpleRNN and LSTM
1 Introduction
2 Objective
3 Literature Survey
4 Methodology
4.1 LSTM
4.2 SimpleRNN
4.3 GRU
5 Results
6 Conclusion
References