Applied Soft Computing Techniques

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

• Gebundenes Buch

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: Apple Academic Press Inc.
• Seitenzahl: 436
• Erscheinungstermin: 11. Juli 2025
• Englisch
• Abmessung: 234mm x 156mm
• Gewicht: 453g
• ISBN-13: 9781774918845
• ISBN-10: 1774918846
• Artikelnr.: 73330349

Autorenporträt

Samarjeet Borah, PhD, is currently working as Professor and Head in the Department of Computer Applications, SMIT, Sikkim Manipal University (SMU), Sikkim, India. Dr. Borah has carried out various funded projects from AICTE (GoI), DST-CSRI (GoI), etc. He has published around 90 research papers in various journals and conferences and has organized workshops and conferences at the national and international level. Dr. Borah is involved with book volumes and journals of repute from Springer, IEEE, Inderscience, IGI Global, and Apple Academic Press as editor or guest editor. He is the Editor-in-Chief of the book series Research Notes on Computing and Communication Sciences, published Apple Academic Press, USA. 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 currently working as Principal, Genba Sopanrao Moze College of Engineering, Balewadi, Pune, India. He has 17 years of teaching and research work. He has patents at both the national and international levels and has published papers on artificial intelligence and machine learning. He has also published various book chapters on applications of artificial intelligence and machine learning. He has supervised more than 40 students on their ME (CSE/IT) dissertations and more than 120 students on their BE (CSE/IT) dissertations. He has organized national and international conferences. He received an Innovative Leader Award from the World Education Summit & Awards in 2019 at New Delhi. He is continuously participating in social activities and engaging to uplift young students through "Unity Group of Happy NGO." He completed his PhD (CSE) degree at Maharishi University of Information Technology, Lucknow, Uttar Pradesh, India, and his Master of Technology (CSE) at Pondicherry Central University, India. Sharifah Sakinah Syed Ahmed, 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. Ahmed 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. Ahmed 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 currently serving as an Assistant Professor in the Computer Engineering Department at MKSSS's Cummins College of Engineering for Women, Pune, India. Having earned a doctorate in Computer Science and Engineering, Dr. Deore boasts an impressive academic history. With over 16 years of dedicated teaching experience at the undergraduate level, he possesses a profound reservoir of knowledge and expertise in this domain. Throughout the course of his academic journey, 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. He earned his Master of Technology degree at Bharati Vidyapeeth Deemed University College of Engineering, Dhankawadi, Pune, India.

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 Health Care 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 Processes, and Mapping Techniques Based on Evolutionary
Algorithms for Network-on-Chip Architecture 10. Integrating IoT Devices
with 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 a
Public Cloud: A Proposed Model 15. Accessibility of Data Linked to Large
Scale Heterogeneous Databases Using a 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. Optimized Soil
Features Prediction Using a Satellite Image Database PART V: NATURAL
LANGUAGE PROCESSING 22. A Novel Technique Enabling a 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