Soft Computing and Its Engineering Applications: 5th International Conference, icSoftComp 2023, Changa, Anand, India, December 7–9, 2023, Revised ... in Computer and Information Science)

Preface
Organization
Contents – Part II
Contents – Part I
Systems and Applications
Metagenomic Gene Prediction Using Bidirectional LSTM
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Dataset
		3.2 Preprocessing
		3.3 LSTM and Bi-LSTM
		3.4 Hyperparameter Tuning
	4 Experimental Setup and Evaluation Metrics
		4.1 Implementation Details
		4.2 Experiments
		4.3 Evaluation Metrics
	5 Results and Discussion
	6 Conclusion
	References
Energy-Efficient Task Scheduling in Fog Environment Using TOPSIS
	1 Introduction
	2 Work Done
	3 Proposed Work
		3.1 System Architecture
		3.2 Problem Formulation
		3.3 TOPSIS Algorithm
		3.4 Proposed Task Scheduling Algorithm Using TOPSIS
	4 Results and Analysis
		4.1 Analysis of Energy Consumption
		4.2 Analysis of Makespan
		4.3 Analysis of Cost
	5 Conclusion
	References
Dynamic Underload Host Detection for Performance Enhancement in Cloud Environment
	1 Introduction
	2 Literature Review
	3 Proposed Work
		3.1 Linear Regression
		3.2 Energy Efficient Linear Regression Algorithm for Underload Host Detection
		3.3 Proposed Algorithm
	4 Result
		4.1 Simulation Setup
		4.2 Performance Evaluations
	5 Conclusion
	References
Inverse Reinforcement Learning to Enhance Physical Layer Security in 6G RIS-Assisted Connected Cars
	1 Introduction
		1.1 Background
		1.2 Related Works
		1.3 Motivations and Novelties
		1.4 Contributions
	2 System Model
		2.1 6G Channel Model
		2.2 6G Signal Model
		2.3 Mobility Model
	3 Derivation of Signal-to-Interference-Plus-Noise Ratio (SINR)
	4 Derivation of Bit Error Rate (BER)
	5 Improving Secrecy Using IRL
		5.1 State and Action Spaces
		5.2 Reward Function
		5.3 Transition Dynamics
		5.4 Inverse Reinforcement Learning (IRL)
		5.5 Optimization Objective
	6 Solution Method
		6.1 Gradient Ascent
	7 Numerical Results and Discussions
	8 Conclusions and Future Scope
		8.1 Conclusions
		8.2 Future Scope:
	References
Computer Vision-Based Cybersecurity Threat Detection System with GAN-Enhanced Data Augmentation
	1 Introduction
	2 Literature Survey
	3 Proposed Methodology
		3.1 Initial Dataset and Preprocessing
		3.2 Conversion into Image Dataset
		3.3 Data Balancing
		3.4 Model Training
		3.5 Testing and Results
	4 Results and Experimentation
		4.1 GAN Experimentation
		4.2 Binary Classification Results
		4.3 Multi-class Classification Results
	5 Conclusion
	References
Classification Using Optimal Polarimetric Parameters for Compact Polarimetric Data
	1 Introduction
	2 Related Work in Separability Analysis
	3 Dataset Details
	4 Optimal Parameter Selection for Compact Polarimetric Data
	5 Classification Using CNN
	6 Results and Discussions
	7 Conclusion
	References
Comparative Study of Supervised Classification for LULC Using Geospatial Technology
	1 Introduction
	2 Area of Study
	3 Methodology
		3.1 Preprocessing
		3.2 Selecting Training Samples
		3.3 Classification
		3.4 Accuracy Assessment
	4 Result and Analysis
	5 Conclusion
	References
A U-Net Based Approach for High-Accuracy Land Use Land Cover Classification in Hyperspectral Remote Sensing
	1 Introduction
	2 Study Area and Datasets
	3 The Proposed Methodology
		3.1 Input Data Preprocessing
		3.2 Analysis of Hyperspectral Data Spectral Profile
		3.3 Classification Algorithms
		3.4 Training Datasets
	4 Result and Discussions
	5 Conclusions
	References
Novel Channel Fuzzy Logic System Modeling for Aquatic Acoustic Wireless Communication Within a Tank
	1 Introduction
	2 Signal Attenuation and Transmission Method
		2.1 Signal Attenuation and Transmission
		2.2 Elements Found in Water
		2.3 Pure Water Attenuation Model
		2.4 Sodium Chloride Attenuation Model
		2.5 A Model of Proposed Attenuation for Sodium Chloride in Water and Its Outcomes
		2.6 A New Attenuation Model for Frequency and Variability in Range
		2.7 Applying Fuzzy Logic Techniques to Realize the Proposed Model
		2.8 Viewer for Rules and Viewer for Surfaces
	3 Propagation with Multiple Paths
		3.1 Geometry of the Underwater Acoustic Channel in Tanks
		3.2 Path Lengths
		3.3 Delay in the Propagation of Multipath Signals
		3.4 Multipath Components in Communication Range
	4 Creating an Application Channel Model for Tank Deployment
		4.1 Underwater Tank Propagation Model for Acoustic Signals
	5 Result and Discussion
	References
Iterative Interference Cancellation for STBC-OFDM System Over Doubly Selective Channel
	1 Introductions
	2 System Model
		2.1 STBC-OFDM System Model
		2.2 Order Iterative Decision Feedback (OIDF) Method
	3 Iterative Interference Cancellation Methods
		3.1 DZFD-PIC-DZFD Method
		3.2 OIDF–PIC-DZFD Method
		3.3 OIDF–PIC-OIDF Method
	4 Computational Complexity
	5 Simulation Results
	6 Conclusions
	References
Managing Multiple Identities of IoT Devices Using Blockchain
	1 Introduction
	2 Related Work
	3 MIDMID: The Proposed Method
		3.1 CRUD Operations
	4 Performance Analysis
	5 Conclusion
	References
Machine Learning Enabled Image Classification Using K-Nearest Neighbour and Learning Vector Quantization
	1 Introduction
	2 Related Works
		2.1 K-Nearest Neighbors (KNN)
		2.2 Learning Vector Quantization (LVQ)
	3 Materials and Methods
		3.1 Dataset Description
		3.2 Mathematical Modelling
	4 Results and Discussion
		4.1 Mathematical Expressions of the Performance Evaluation of the Models
		4.2 Comparison of KNN and LVQ Performance Evaluation
		4.3 Comparison of the Proposed Model with Other Studies
	5 Conclusion
	References
Enhancing IDC Histopathology Image Classification: A Comparative Study of Fine-Tuned and Pre-trained Models
	1 Introduction
	2 Literature Survey
	3 Materials and Methods
		3.1 Transfer Learning
		3.2 Pre-trained Models
		3.3 Proposed Model
	4 Experimental Setup
	5 Results and Discussion
		5.1 Parameter Analysis of Deep Learning Models
		5.2 Classification Results and Analysis
	6 Conclusion
	References
Optimized Path Planning Techniques for Navigational Control of Mobile Robot Using Grass Fire Algorithm in Obstacle Environment
	1 Introduction
	2 Graph Search Methods and Algorithm
	3 Optimization Techniques of Grassfire Algorithm
	4 Result and Discussion
		4.1 Rep Simulation Analysis of Mobile Robot
		4.2 Experimental Result of Mobile Robot
	5 Conclusion and Future Scope
	References
A Novel Approach for Suggestions on Law Based Problems
	1 Introduction
		1.1 Objectives
		1.2 Organization
	2 Related Work
	3 Proposed Model
	4 Methodology
	5 Result and Discussion
	6 Conclusion and Future Scope
	References
Performance Evaluation of Service Broker Policies in Cloud Computing Environment Using Round Robin
	1 Introduction
	2 Literature Review
	3 Experimental Design
	4 Results and Implications
		4.1 Results with Respect to Closest Data Centre (CDC)
		4.2 Results with Respect to Optimize Response Time (OptiResTime)
		4.3 Results with Respect to Reconfigure Dynamically (RD)
	5 Cumulative Results and Reinforcement Learning to Improve Cloud Performance
	6 Conclusion
	References
A Course Study Planning Framework – An Engineering Perspective
	1 Introduction
	2 Literature Review
	3 Course Level Priorities
		3.1 Priority of Industrial Training
		3.2 Priority of Hierarchy
		3.3 Priority of Open Courses
	4 The CSPF Package
		4.1 Example Plan 1
		4.2 Example Plan 2
		4.3 Example Plan 3
	5 Conclusion
	References
Three Languages Simulate Polygons and Perform on the Web
	1 Introduction
	2 Illustrative Problem
	3 Web and Applications
		3.1 Web and Computing
		3.2 The Combination of Different Computing Languages
	4 Results, Discussion
	5 Conclusions
	References
Hybrid Techniques
Multi Disease Prediction Using Ensembling of Distinct Machine Learning and Deep Learning Classifiers
	1 Introduction
	2 Literature Review
	3 Materials and Methods
		3.1 Dataset
		3.2 Data Preprocessing
	4 Ensembling of Distinct Machine Learning and Deep Learning Classifiers
		4.1 Decision Tree
		4.2 Logistic Regression
		4.3 Neural Network
		4.4 Combining the Base Classifiers Using Voting Rule
	5 Results and Discussion
		5.1 Accuracy
		5.2 Precision
		5.3 Recall
		5.4 F1-Score
	6 Conclusion
	References
Resource Management Through Workload Prediction Using Deep Learning in Fog-Cloud Architecture
	1 Introduction
	2 Related Work
	3 The Proposed Prediction Model
	4 The Algorithm for Resource Occupancy Prediction Model
	5 Experiment Setup and Evaluation
		5.1 Evaluation Criteria
	6 Conclusion and Future Work
	References
Author Index