Soft Computing and Its Engineering Applications: 5th International Conference, icSoftComp 2023, Changa, Anand, India, December 7–9, 2023, Revised ... in Computer and Information Science, 2030)

Preface
Organization
Contents – Part I
Contents – Part II
Theory and Methods
A Simple Difference Based Inter Frame Video Forgery Detection and Localization
	1 Introduction
	2 Review of Related Literature
	3 Proposed Method
	4 Other Methods Considered
	5 Experiments
		5.1 VIFFD Dataset
		5.2 Surveillance Video Dataset
		5.3 TDTVD Dataset
		5.4 Inter-frame Forgery Data Set
	6 Conclusion
	References
Pixel-Level Segmentation for Multiobject Tracking Using Mask RCNN-FPN
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Implementation Detail
		3.2 Mathematical Modelling
		3.3 Algorithm
	4 Validation and Optimization
		4.1 Validation on Different Datasets
		4.2 Optimization of Algorithm
	5 Results and Discussion
	6 Comparison Against Related Work
	7 Conclusion and Future Scope
		7.1 Conclusion
		7.2 Future Scope
	References
Novel Integrated Conv Siamese Model for Land Cover Change Detection
	1 Introduction
	2 Literature Survey
	3 Proposed Methodology
		3.1 Dataset
		3.2 Pre-processing
		3.3 Proposed Model
	4 Result and Discussion
	5 Conclusion
	References
X-DeepID: An Explainable Hybrid Deep Learning Method for Enhancing IoT Security with Intrusion Detection
	1 Introduction
	2 Related Work
	3 Proposed Work
		3.1 Gated Feature Representation Learning
		3.2 Shapley Values and the Explanation Model
		3.3 The LIME - Shapley Method for the Final Prediction
	4 Experiments
		4.1 Experimental Methodology
		4.2 Performance Analysis and Results
	5 Conclusion
	References
Explainable Artificial Intelligence for Combating Cyberbullying
	1 Introduction
	2 Artificial Intelligence and Machine Learning in Cyberbullying Detection
		2.1 Role of XAI in Cyberbullying Detection
		2.2 XAI Models for Text Analysis
		2.3 Interpretability Metrics
		2.4 Datasets for Cyberbullying Detection
	3 XAI-Driven Cyberbullying Intervention Strategies
		3.1 Real-Time Alert Systems
		3.2 Explainable Recommendations for Moderators
	4 Conclusion
	References
On Finding Non Coding Elements in Genome: A Machine Intelligence Approach
	1 Introduction
		1.1 Background
		1.2 Literature Review
		1.3 Motivation and Novelties
		1.4 Contributions
	2 Non-coding Elements: Functional Significance and Complexity
		2.1 Classes of Non-coding Elements
		2.2 Challenges in Identifying Non-coding Elements
		2.3 Limitations of Conventional Genomic Analysis Methods
		2.4 The Need for Data-Driven and Innovative Computational Techniques
	3 Problem Formulation
		3.1 Data-Set Explanation
		3.2 Data Preprocessing
	4 Mathematical Derivation
		4.1 Problem Formulation
		4.2 Machine Intelligence Approach
	5 Machine Intelligence for Finding Non-coding Element
		5.1 Finding Non Coding Element
		5.2 Data Structure and Algorithm Steps
		5.3 Numerical Results: Inferences from Simulations
	6 Conclusion
	References
Investigating Natural Inhibitors of Permeability-Glycoprotein (P-gp) Liver Transporter via Molecular Docking Simulation for Hepatocellular Carcinoma Therapy
	1 Introduction
	2 Materials and Methods
		2.1 P-gp Structure
		2.2 Selection of the Compounds
		2.3 Prediction of Binding Site
		2.4 Autodock Vina Employed for Molecular Docking
		2.5 Toxicity Prediction Using QSAR Tool
	3 Results and Discussions
		3.1 Minimization of Energy in Compounds
		3.2 P-gp - Botanical Compound Inhibitors Docking
		3.3 Toxicity of Chemical and Botanical Compounds
	4 Conclusion
	References
Temporal Contrast Sets Mining
	1 Introduction
	2 Literature Review
	3 Proposed Model
		3.1 Temporal Association Rules
		3.2 Temporal Contrast Sets
	4 Experiments
		4.1 Dataset Description
		4.2 Results and Discussions
	5 Conclusion
	References
Visualization Techniques in VR for Vocational Education: Comparison of Realism and Diegesis on Performance, Memory, Perception and Perceived Usability
	1 Introduction
	2 Related Work
	3 Design of VR Scenarios for the Construction Industry
		3.1 Target User
		3.2 Experts’ Interviews with Construction Professionals
		3.3 Prototype Development in VR
	4 Experiment Design
		4.1 Participants
		4.2 Set Up
		4.3 Procedure
	5 Results
		5.1 Performance
		5.2 Perception and Immersion
		5.3 Perceived Usability
		5.4 Memory
	6 Discussion and Limitation
		6.1 Performance
		6.2 Perception and Immersion
		6.3 Perceived Usability
		6.4 Memory
		6.5 Limitation
	7 Conclusion
	References
Multi-Tenant Servitization Platform-as-a-Service Model
	1 Introduction
	2 Related Work
	3 Challenges and Legitimization of Servitization Models
	4 Proposed Multi-tenant Servitization Model
	5 Discussion
	6 Conclusion and Future Work
	References
A Load-Balanced Task Scheduling in Fog-Cloud Architecture: A Machine Learning Approach
	1 Introduction
	2 Problem Statement and Formulation
		2.1 Performance Metrics
	3 The Proposed Approach
		3.1 Task Offloading
		3.2 Service Placement Algorithm
	4 Experimental Evaluation
		4.1 Simulation Setup
		4.2 Dataset
		4.3 Results
		4.4 Comparison and Review
	5 Conclusion
	References
Using Machine Learning Techniques and Algorithms for Predicting the Time Length of Publishing a Law (TLOPL) in the Domain of e-Parliament
	1 Introduction
	2 Methodology
		2.1 Research Questions and Scope of the Study
		2.2 Conduct a Comprehensive Literature Search
		2.3 Data Extraction
	3 Related Work
		3.1 Background
		3.2 Related Works
	4 Results
	5 Conclusion
	References
Deep Metric Learning with Music Data
	1 Introduction
	2 Literature Review
	3 Dataset
	4 Proposed Method
		4.1 Data Preprocessing
		4.2 The Siamese Network
		4.3 Triplet Mining
	5 Implementation Details
	6 Results and Discussion
		6.1 Model Evaluation
		6.2 T-SNE Plots
		6.3 Artist Prediction
	7 Other Applications
		7.1 Genre-Auto Tagging
		7.2 Content-Based Music Retrieval
	8 Conclusion
	References
Online Health Information Seeking in Social Media
	1 Introduction
	2 Methodology
	3 Results
		3.1 HIS and Social Media in the Last 10 Years
		3.2 Social Media Users Seeking Health Information
		3.3 Social Media Platforms Used for HIS
		3.4 Features of Social Media Facilitating HIS
		3.5 Motivations for Using Social Media for HIS
		3.6 Challenges in Social Media for HIS
	4 Discussion
	5 Implications and Limitations
	6 Conclusion
	References
Blockchain Segmentation: An Industrial Solution for Large Scale Data
	1 Introduction
	2 Literature Survey
	3 Methodology
		3.1 Implementation of Cryptography with AES Algorithm
		3.2 Hashing with Message Digest Algorithm (MDA-5)
		3.3 Map Reduce
		3.4 LBA
		3.5 Cloud Storage
	4 Implementation and Results
	5 Conclusion
	References
Non-linear Finite Element Restorative Analysis of Low Shear Resistant RC Beams Strengthened with Bio-Sisal and GFRP
	1 Introduction
	2 Models for Non-linear NLFEM
		2.1 Design for Predominant Shear Failure in the NLFEM of Analysis
	3 Non-linear Restorative Analysis Using Non-linear Finite Element Method
		3.1 Methodology of the Modeling and Meshing in the Simulative Environment
		3.2 Finite Element Restorative Analysis and Conclusionary Studies
	References
Estimation of Mass Balance of Baspa Basin, Western Himalayas Using Remote Sensing Data
	1 Introduction
	2 Study Area
	3 Data Used
	4 Methodology
	5 Results
		5.1 Transient Snow Line
		5.2 Equilibrium Line Altitude
		5.3 Mass Balance
	6 Conclusion
	References
System and Applications
OntoOpinionMiner: An Opinion Mining Algorithm for Drug Reviews
	1 Introduction
	2 Literature Survey and Related Works
	3 Proposed Methodology
	4 Implementation
	5 Results and Performance Evaluation
	6 Conclusion
	References
MTL‑rtFND: Multimodal Transfer Learning for Real-Time Fake News Detection on Social Media
	1 Introduction
	2 Related Work
		2.1 Machine Learning Based Fake News Detection Methods
		2.2 Deep Learning Based Fake News Detection Methods
		2.3 Open Challenges
	3 Proposed Architecture
		3.1 Data Pre-processing Block
		3.2 Feature Extraction Module
		3.3 Realtime Processing and Monitoring
	4 Implementation
		4.1 Dataset
		4.2 Experimental Setup
		4.3 Performance Metrics
	5 Result Analysis
		5.1 Contrasting Traditional Text Embedding and Machine Learning Models
	6 Conclusion and Future Work
	References
Classification of Exaggerated News Headlines
	1 Introduction
	2 Background
	3 Proposed Architecture
	4 Data
		4.1 Data Exploration
		4.2 Data Pre-processing
		4.3 Feature Extraction
		4.4 Train and Test Data
		4.5 Feature Normalisation
	5 Machine Learning Models
	6 Model Evaluation
	7 Results and Discussion
	8 Conclusion and Future Work
	References
Inappropriate Text Detection and Rephrasing Using NLP
	1 Introduction
	2 Background
	3 Dataset Used
	4 Methodology
		4.1 TF-IDF Vectorization
		4.2 Latent Semantic Analysis
		4.3 Wordnet
	5 Experimentation
	6 Result Analysis
	7 Conclusion
	References
Predicting Suicide Ideation from Social Media Text Using CNN-BiLSTM
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Dataset
		3.2 Data Preprocessing
		3.3 Word Embedding
		3.4 CNN-BiLSTM Model
	4 Results and Discussion
		4.1 CNN-BiLSTM Model with FastText Word Embedding
		4.2 CNN-BiLSTM Model with Word2Vec Word Embedding
		4.3 Model Performance and Evaluation Metrics
		4.4 Comparison with an Existing Model
	5 Conclusion
	References
Enhanced Multi-step Breast Cancer Prediction Through Integrated Dimensionality Reduction and Support Vector Classification
	1 Introduction
	2 Literature Review and Gap Analysis
	3 Proposed Methodology
	4 Need of Dimensionality Reduction
		4.1 Principal Component Analysis (PCA)
		4.2 EDA
	5 Machine Learning in Breast Cancer Diagnosis
		5.1 Support Vector Machines (SVM)
	6 Results and Discussions
	7 Conclusion
	8 Future Scope
	References
Designing AI-Based Non-invasive Method for Automatic Detection of Bovine Mastitis
	1 Introduction
	2 Related Work in the Detection of Mastitis
	3 Architecture of the System
		3.1 Data Collection and Pre-processing
		3.2 Learning Model-Automatic Disease Diagnosis
		3.3 Fuzzy Rules–Decisions and Remedial Measures
	4 Experimental Analysis
		4.1 K-nearest Neighbour (KNN)
		4.2 Support Vector Machine (SVM)
	5 Evaluation of Classification
	6 Results
	7 Conclusion and Future Work
	References
Author Index