1st Edition
Applied Soft Computing Techniques Theoretical Principles and Practical Applications
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 Healthcare 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 Process, and Mapping Techniques Based on Evolutionary Algorithm for Network on Chip Architecture
Kaliprasanna Swain, A. S. Das, Sarita Misra, V. Singh, Taraprasann Das, and Subhashree Choudhury
10. Integrating IoT Devices to 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 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 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. An Optimized Soil Features Prediction Using 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
25. Bangla and Odia Machine Translation Using EM Algorithm: Experimental Evaluation
Bishwa Ranjan Das, Hima Bindu Maringanti, and Niladri Sekhar Dash
Biography
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.
