Computer Science & Information Management

Applied Soft Computing Techniques
Theoretical Principles and Practical Applications

Editors: Samarjeet Borah, PhD
Ratna Raja Kumar Jambi, PhD
Sharifah Sakinah Syed Ahmad, PhD
Mahendra Prabhakar Deore, PhD

Applied Soft Computing Techniques

In Production
Pub Date: Forthcoming November 2024
Hardback Price: $220 US | £170 UK
Hard ISBN: 9781774918845
Pages: Est. 488pp w/index
Binding Type: Hardback / ebook
Notes: 168 b/w illustrations

Soft computing techniques have the ability to handle complex, uncertain, and imprecise information to create usable solutions to convoluted problems or those just too time-consuming to solve with current hardware. This new book details the use and applications of soft computing technology in several fields. Applied Soft Computing Techniques: Theoretical Principles and Practical Applications is strategically arranged into five sections to explore the use of these techniques in biomedical applications, communication technologies, data analytics and applications, image processing, and natural language processing.

The chapters in the section on biomedical applications explore soft computing techniques for cancer data analysis, depression and mental health analysis, heart disease detection, etc. The editors go on to discuss soft computing in communication systems, looking at graphs, design processes, and mapping techniques, as well as the integration of IoT devices, drone technology, etc. The volume also details how soft computing methodologies can assist in tackling the obstacles associated with signal processing, network optimization, quality of service, and beyond.
Several chapters discuss the use of soft computing techniques in data compression, handling of large-scaled heterogenous databases, visualization techniques, etc. Applications of soft computing in image processing are also discussed and cover human face recognition, casualty detection, traffic sign recognition, and predicting soil features using satellite imagery. Soft computing techniques in natural language processing consider text-to-speech signal conversion, NLP and speech recognition, speech emotion recognition, and more.
This volume will help to facilitate the amalgamation of theoretical principles and practical applications, bringing forth possible solutions to complex problems in various domains. The book is a welcome resource for researchers, students, professionals, and even for individuals looking for knowledge on soft computing.

Applied Soft Computing Techniques: Theoretical Principles and Practical Applications will help to facilitate the amalgamation of theoretical principles and practical applications, bringing forth possible solutions to complex problems in various domains. The book is a welcome resource for researchers, students, professionals, and even for individuals looking for knowledge on soft computing.

CONTENTS:
Preface

Introduction

PART I: BIOMEDICAL APPLICATIONS
1. Soft Computing Algorithms and Their Applications in Breast Cancer Data Classification: An Experimental Analysis

Juned A. Siddiqui and Sakshee Vaidya

2. Real-Time-Based Heart Patient Monitoring System: An Application of Health Care IoT
K. P. Swain, Soumya Ranjan Samal, Sarita Misra, Sarat Kumar Swain, Taraprasanna Dash, and Subhashree Choudhury

3. Sentiment and Depression Analysis Using Machine Learning
K. P. Swain, Sarita Misra, S. K. Nayak, S. R. Samal, and G. Palai

4. Brain Tumor Detection Using Deep Convolution Neural Networks
Bhaskar Adepu and P. Shivani

5. Smart Health Care Approach Using Machine Learning for Breast Cancer Diagnosis and Prediction
Neha Panwar and D. P. Sharma

6. Sedona: A Mental Health Tracker
Subhash Rathod, Komal Sharma, Atharva Kulkarni, Ranjeet Gaikwad, and Varad Patil

7. Machine Learning-Based Heart Disease Prediction System
Mrunal Jagtap, Kiran Pothare, Abhijeet Jadhav, Abhijit Bomble, Rohit Barshile, and Radhika Kokate

8. Breast Cancer Risk Detection
Uma B. Karanje, Chaitanya S. Bhosale, Pranjali Deshmukh, Mayuri Bhutkar, Srushti Raut, and Gayatri Gaikwad

PART II: COMMUNICATION TECHNOLOGIES
9. A Comprehensive Study on Graphs, Design Processes, and Mapping Techniques Based on Evolutionary Algorithms for Network-on-Chip Architecture

Kaliprasanna Swain, A. S. Das, Sarita Misra, V. Singh, Taraprasann Das, and Subhashree Choudhury

10. Integrating IoT Devices with Renewable Energy Systems for Increasing Energy Efficiency
V. Ulagamuthalvi and G. Kulanthaivel

11. Architectures of Computer Networks with Standard
Mangesh D. Salunke, Nilesh N. Thorat, Suhas R. Kothavale, Rohini D. Mahale, Radhika M. Kokate, and Vikas V. Chavan

12. Drone-Enabled Precision Agriculture: Revolutionizing Crop Management and Yield Optimization
Rohini Mahale, Kshitij Patange, Shubham Phad, Aditya More, and Vikas Chavan

PART III: DATA ANALYTICS AND APPLICATIONS
13. Machine Learning-Based Intrusion Detection Techniques: A Concise Study

Kshyamasagar Mahanta and Hima Bindu Maringanti

14. Data Compression for Achieving Cost-Efficient and Secure Data Storage Over a Public Cloud: A Proposed Model
Subhash G. Rathod, R. N. Khobragade, Vilas M. Thakare, K. H. Walse, Gajendra Bamnote, and Sushama L. Pawar

15. Accessibility of Data Linked to Large Scale Heterogeneous Databases Using a Generalized Approach: A Soft Computing-Based Approach
Jyoti Prakash Mishra, Zdzislaw Polkowski, and Sambit Kumar Mishra

16. Visualization and Comparative Simulation of Pathfinding, Searching, and Sorting Algorithms
Subhash Rathod, Abhinav Mishra, Akshay Patil, Ashutosh Dhanawade, and Gaurav Dalvi

17. Educational Website with Search Engine Optimization
Mrunal Jagtap, Yogesh Dongare, Vikas Chavan, Ashish Bhise, and Radhika Kokate

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

Md Rahmatul Kabir Rasel, Hasmot Ali, Md. Mahfujur Rahman, and Mohammad Jahangir Alam

19. Study and Analysis of Computer Vision for Casualty Detection
Mangesh D. Salunke, Nilesh N. Thorat, Sarthak Surve, Ammar Sakriwal, Atharv Kaleker, and Karan Dabare

20. Traffic Sign Recognition Using a Convolutional Neural Network
Uma Karanje, Chaitanya Bhosale, Gayatri Kinge, Aakanksha Magaonkar, Aparna Gade, and Janvi Kankhar

21. Optimized Soil Features Prediction Using a Satellite Image Database
Mallekedi Anand, Anuj Jain, and Manoj Kumar Shukla

PART V: NATURAL LANGUAGE PROCESSING
22. A Novel Technique Enabling a Text-to-Speech Signal Converting System Using Raspberry Pi

Prabhu Chakkaravarthy, G. Parthasarathy, P. Visu, A. Mohan, and Sanju Das

23. Self-Learning Artificial Intelligence Smart Bot with NLP and Speech Recognition
P. Visu, A. Mohan, A. Prabhu Chakkaravarthy, G. Parthasarathy, and Sanju Das

24. Application of Multilayer Perceptron in Speech Emotion Recognition
Naman Gupta and Nikunj Agarwal


Bishwa Ranjan Das, Hima Bindu Maringanti, and Niladri Sekhar Dash

Index


About the Authors / Editors:
Editors: Samarjeet Borah, PhD
Professor and Head, Department of Computer Applications, SMIT, Sikkim Manipal University (SMU), Sikkim, India

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
Principal, Genba Sopanrao Moze College of Engineering, Balewadi, Pune, India

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 Ahmad, PhD
Associate Professor, Department of Intelligent Computing & Analytics (ICA), Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka (UTeM), Malaysia

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
Assistant Professor, Computer Engineering Department, MKSSS’s Cummins College of Engineering for Women, Pune, India

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.




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