Applied Soft Computing Techniques (eBook, PDF)

Theoretical Principles and Practical Applications
Redaktion: Borah, Samarjeet; Deore, Mahendra Prabhakar; Syed Ahmad, Sharifah Sakinah; Kumar Jambi, Ratna Raja

• Format: PDF

Produktbeschreibung

Discusses use of applied soft computing techniques in biomedical applications, communication technologies, data analytics and applications, image processing, and natural language processing. Details how soft computing can assist in tackling obstacles associated with signal processing, network optimization, quality of service, and beyond.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 464
• Erscheinungstermin: 11. Juli 2025
• Englisch
• ISBN-13: 9781040309094
• Artikelnr.: 73755488

Autorenporträt

Samarjeet Borah, PhD is Professor and Head in the Department of Computer Applications at SMIT, Sikkim Manipal University, India. He has carried out research projects, published research papers in journals and conferences, and organized workshops and conferences. He is Editor-in-Chief of the book series Research Notes on Computing and Communication Sciences. Dr. Borah has served as a keynote as well as invited speaker at several international conferences. His areas of research are data mining, information security, data science, and machine learning. Ratna Raja Kumar Jambi, PhD is Principal at the Genba Sopanrao Moze College of Engineering, Balewadi, Pune, India. He has 17 years of teaching and research work. He has patents at both national and international levels and has published papers and book chapters on artificial intelligence and machine learning. He has organized national and international conferences. He received an Innovative Leader Award from the World Education Summit & Awards in 2019 in New Delhi. Sharifah Sakinah Syed Ahmad, PhD is currently working as Associate Professor in the Department of Intelligent Computing & Analytics (ICA), Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka (UTeM). Her current research work is on the granular fuzzy rule-based system, evolutionary method, modeling, and data science. Dr. Ahmad has been a member of numerous program committees at national and international conferences in intelligent systems and soft computing, where she is involved in organizing and reviewing activities. She is an editorial board member of the IEEE Transactions on Systems, Man, and Cybernetics: Systems and a member of the Association for Computing Machinery (ACM). She has co-authored numerous journal publications, conference articles, and book chapters. She has also received several grants from various funding agencies, including the Ministry of Education, Malaysia, and the Ministry of Science, Technology, and Innovation, Malaysia. Dr. Ahmad has 15 years of experience in teaching. She was also involved in conducting several workshops related to improving data science and modeling. Mahendra Prabhakar Deore, PhD is an Assistant Professor of Computer Engineering at MKSSS's Cummins College of Engineering for Women, Pune, India. With over 16 years of dedicated teaching experience at undergraduate level, Dr. Deore has authored and published more than 20 SCI- and SCOPUS-indexed research papers. His primary areas of interest encompass big data, security, computer networks, and machine learning.

Inhaltsangabe

Introduction PART I: BIOMEDICAL APPLICATIONS 1. Soft Computing Algorithms
and Their Applications in Breast Cancer Data Classification: An
Experimental Analysis 2. Real-Time-Based Heart Patient Monitoring System:
An Application of Health Care IoT 3. Sentiment and Depression Analysis
Using Machine Learning 4. Brain Tumor Detection Using Deep Convolution
Neural Networks 5. Smart Healthcare Approach Using Machine Learning for
Breast Cancer Diagnosis and Prediction 6. Sedona: A Mental Health Tracker
7. Machine Learning-Based Heart Disease Prediction System 8. Breast Cancer
Risk Detection PART II: COMMUNICATION TECHNOLOGIES 9. A Comprehensive Study
on Graphs, Design Process, and Mapping Techniques based on Evolutionary
Algorithms for Network on Chip Architecture 10. Integrating IoT Devices to
Renewable Energy Systems for Increasing Energy Efficiency 11. Architectures
of Computer Networks with Standard 12. Drone-Enabled Precision Agriculture:
Revolutionizing Crop Management and Yield Optimization PART III: DATA
ANALYTICS AND APPLICATIONS 13. Machine Learning-Based Intrusion Detection
Techniques: A Concise Study 14. Data Compression for Achieving
Cost-Efficient and Secure Data Storage over Public Cloud: A Proposed Model
15. Accessibility of Data Linked to Large Scale Heterogeneous Databases
Using Generalized Approach: A Soft Computing-Based Approach 16.
Visualization and Comparative Simulation of Pathfinding, Searching, and
Sorting Algorithms 17. Educational Website with Search Engine Optimization
PART IV: IMAGE PROCESSING 18. A Comparative Analysis on Support Vector
Machine, k-Nearest Neighbors, Naive Bayes, and Decision Tree Classifiers
Applied for Human Face Recognition 19. Study and Analysis of Computer
Vision for Casualty Detection 20. Traffic Sign Recognition Using a
Convolutional Neural Network 21. An Optimized Soil Features Prediction
Using a Satellite Image Database PART V: NATURAL LANGUAGE PROCESSING 22. A
Novel Technique Enabling Text-to-Speech Signal Converting System Using
Raspberry Pi 23. Self-Learning Artificial Intelligence Smart Bot with NLP
and Speech Recognition 24. Application of Multilayer Perceptron in Speech
Emotion Recognition 25. Bangla and Odia Machine Translation Using EM
Algorithm: Experimental Evaluation