
New Trends in Intelligent Software Methodologies, Tools and Techniques
Description
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This proceedings presents 40 papers delivered at SoMeT 24, the 23rd edition of the International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques, held on 24 and 25 September 2024 in Cancun, Mexico. The conference explored new trends and theories, illuminating the direction of developments by discussing issues ranging from research practices to techniques and methodologies and proposing and reporting on the solutions needed for global world business, and this book aims to capture the essence of a new state-of-the-art in software science and its supporting technologies, and to identify the challenges that such technologies will have to master. The 40 papers included here were carefully selected following a thorough review process on the basis of technical soundness, relevance, originality, significance, and clarity, whereby each paper was reviewed by three or four reviewers.
The book brings together the work of scholars from the international research community, and will be of interest to all those working in the field of intelligent software methodology, tools, and techniques.
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Content
- Intro
- Title Page
- Preface
- About the Conference
- Contents
- Chapter 1. Software System with Intelligent Design
- Proposal for a Novel Sightseeing Trip Plan Search Service
- Design a Knowledge Chatbot System in Education Based on Ontology Approach
- Frame-Level Deepfake Detection on Explicit Content with ID-Unaware Binary Classification
- Chapter 2. Software System Security and Techniques
- Detecting and Mitigating the Weakest Cybersecurity Link in an Information System
- Encryption and Compression Scheme Using Compressing Sensing and Chaotic Mixing
- Cyberbullying Detection Using Bag-of-Words, TF-IDF, Parallel CNNs and BiLSTM Neural Networks
- Information Encryption with Combined QR Codes with Two Security Levels: GPG Method and Chromatic Multiplexing
- Data Hiding Components for Solving Information Security Issues in DICOM Medical Images
- URL Phishing Detection by Using Natural Language Processing and Deep Learning Model
- Chapter 3. Formal Techniques for System Software and Quality Assessment
- Extended Engineering Software Support for Multiphysical Research in Applied Informatics
- Transformation Approach for Safe Source Code Through the Application of a Large Language Model and Adaptation of a Generative Adversarial Network
- Towards an Architecture Modeling Language for Specifying Digital Twin Architectures Using C4
- Analysis of the Nozzle Design for Rocket-Candy Using a Systemic Model
- Chapter 4. Applied Intelligence in Software
- Improve Breast Cancer Classification Based on Deep Feature Fusion and Hyperparameter Customization Using Transfer Learning
- Practical Application of Deep Reinforcement Learning in Physical Robotics
- Preference-Based Reinforcement Learning Framework for Autonomous Vehicles
- Hands and Palms Recognition by Transfer Learning for Forensics: A Comparative Study
- Dynamic Convolution Based Intelligent Algorithm for YOLOv5 Underwater Target Detection
- Machine Learning-Based Approach to Correct Saturated Flow Boiling Heat Transfer Correlations
- Optimal Feature Extractor for Video Anomaly Detection in Public Transportation Applications
- Optimizing Industrial Maintenance Scheduling Through Deep Reinforcement Learning and Simulation Integration
- Chapter 5. Intelligent Decision Support Systems
- A Large-Scale Group Decision-Making Approach Employing Large Language Models to Detect Assertive Groups
- ICERS: Intelligent Collaborative Emergency Response System
- Chapter 6. Cyber Physical System
- Voice Gender Recognition Under Unconstrained Environments Using Fine-Tuned CNNs
- ViFam: A New Dataset for Fall Detection Problem and Overall Analysis
- Adaptive WIP Control in Industry 4.0 Manufacturing via Deep Reinforcement Learning: A Case Study in Hybrid Control Architectures
- Chapter 7. Knowledge Science and Intelligence Computing
- Topic Modeling in the Darknet via Semi-Supervised Learning and Linguistic Transformers
- Sentiment Classification in Mobile Gaming Reviews: Customized Transformer Models with Emojis Retained
- Optimizing Feature Selection with Metaheuristics: Trends, Techniques, and Future Directions
- Use of Modeling & Simulation and AI for Collaborative Framework: SMEs Supply Chain Disruptions
- Meaningful Performance Analysis on Healthcare Data Under Local Differential Privacy
- Analyzing Twitter Data for Insights into Public Sentiment During COVID-19 Pandemic
- Chapter 8. Ontology in Data and Software
- Recognition of Handwritten Tamazight Characters Using ResNet, MobileNet and VGG Transfer Learning
- Attention-Based Multi-Scale, Context-Aware Feature Integration into PoseResNet for Coordinate Classification in 2D HPE
- Chapter 9. Machine Learning in System Software
- Fingerprint Fraud Explainability Using Grad-Cam for Forensic Procedures
- Detection and Identification of Respiratory Disease Using DWT and SVM
- Image Splicing Detection Based on a Dual Branch Neural Network
- One-Class Classification Approach Using One-Class Classification Subtask
- Multimodal Hand Gesture Recognition Using Automatic Depth and Optical Flow Estimation from RGB Videos
- PFMNet: Face Mask Recognition with Deformable Convolution Networks and Category Attention
- Subject Index
- Author Index
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