Emerging Perspectives and Applications of Computational Intelligence and Smart Systems delves into the transformative role of artificial intelligence, machine learning, IoT, robotics, smart technologies etc. in shaping the future of industries and societies. This volume presents cutting-edge research and real-world applications that highlight how computational intelligence enables automation, intelligent decision-making, and sustainable solutions across diverse domains. With contributions from experts in academia and industry, the book explores innovations in healthcare, smart cities, energy systems, manufacturing, and beyond. It emphasizes interdisciplinary collaboration and practical methodologies that bridge the gap between theoretical advancements and tangible impact. By combining theoretical advancements with real-world relevance, this book equips readers with a deeper understanding of how intelligent technologies can be applied to solve complex problems. It is an essential guide for those looking to harness computational intelligence and smart systems to drive innovation, improve efficiency, and contribute to a more sustainable and connected future.
Table of Contents:
1. Investigating an Updraft Coal Gasifier Using Advanced Hot Gas Cleaning
Technology Through Experimentation to Reduce Pollution for Sustainable
Development
Reena N. Makadia and Dr. Marmik M. Dave
2. AI-Driven Skin Type Detection and Personalized Recommendations for
Cosmetic Products
Kakoli Banerjee, Abhishek Pandey, Saad Anwar Khan, Alok Ranjan and
Rahul Makhloga
3. Lung Cancer Stage Detection Using CNN: A Review
Mohammad Chandpasha, Julakanti Ruthwik Reddy,
Pasupuleti Sai Sritha and M. A. Jabbar
4. IoT and RFID-Enabled Smart Lab Monitoring System for Efficient
Asset Management
Dinesh Reddy Malreddy, Kayithi Sujeeth Reddy, Advith Teelaru,
Velagaleti Sriraghava and Ala Rajitha
5. Detecting System Vulnerability to Malware Attacks Using ML Techniques:
A Review
D. V. Harsha Vardhan, Adi Divya, Ega Priyanka, B. Pravallika and
M. A. Jabbar
6. A Systematic Review on License Plate Recognition using Deep Learning
A. Akhilesh, A. Sharath Kumar, B. Prayaksha,
Prakash Kumar Sarangi and M. A. Jabbar
7. Hybridizing ML with CatBoost and LightGBM for Liver Disease Prediction:
An Improved Clinical Data Analysis
A. Mohamed Anwar, M. Vijayaraj, S. P. Santhoshkumar, T. Nalini and
S. Karthiyayini
8. Enhancing IoT Security: A Hybrid Deep Learning Approach for Network
Traffic Classification
Singamaneni Krishnapriya and Sukhvinder Singh
9. Enhanced Motion Control for PMSM Using Direct Torque Control Algorithm
Avinash Vujji, Jyothsna Indala, Rama Kothapalli, Leelarani Karasa,
Sravyanjali Bankuru and Harika Boyidapu
10. Student Performance Prediction in Introductory Programming Courses:
A Comprehensive Review of Machine Learning Techniques
Hetal Gosrani and Nirav Bhatt
11. Real-Time Traffic Monitoring and Request Blocking Firewall for
Network Security
Jinna Kruthika, Gajele Manisha, Mohammad Shinaz Bhanu,
Ganjikunta Abhinaya and Kuraganti Rathnababu
12. Strategies for the Advancement of Artificial Intelligence (AI)
Technologies and Their Application in Intelligence and
Counter-Intelligence Operations (The Experiences of the
United States and China)
David Kukhalashvili, Dimitri Kobiashvili and Bakari Grdzelishvili
13. Comparative Performance of Machine Learning Algorithms for Sentiment
Analysis: The Role of PCA as A Dimension Reduction Technique
Burak Borhan, Yasin Ortakci and Amit Lathigara
14. Machine Learning-Based Attack Detection in Smart Home IoT Networks
Vinay Kumar Reddy Muthyala, Amit Lathigara and Nur Azaliah Abu Bakar
15. Development of Knee Joint Implant using VAT Polymerization and
Investment Casting
Ratnadeepsinh M. Jadeja and Marmik M. Dave
16. A Comparative Review of a Single-Stage and Two-Stage Grid-Connected
PV Systems
Vishal G. Jotangiya, Riaz Israni and Chiragkumar Parekh
17. Advancements in Automatic Load Frequency Control with Integration of
Renewable Energy Sources: A Comprehensive Review
Parin H. Chauhan, Riaz Kurbanali Israni and Chiragkumar Parekh
18. A Feasibility Study on The Use of Los Angeles Machine to Grind Fly Ash
Mehul Rangani, Sanjay Joshi, Ajaysinh Vaghela and Danuta Barnat-Hunek
19. Effective Analysis of Mental Health Using AI and Machine Learning in
Social Media Analytics
M. Lavanya, Parvez Belim, Nirav Bhatt, Rani Sahu and Neha Chauhan
20. Enhancing Multi-Modal MRI Brain Tumor Detection using Hybrid
Convolutional Based Deep Learning Model
Nirav Ranpara, Amit Lathigara, Chetan Shingadiya and Róża Dzierżak
21. Real-Time Adaptive Decision-Making in Unstructured Agricultural
Scenarios Based on WSN and Deep Learning
Suresh Kumar K., Malathi M., Pavithra P., Shanmugapriya K. and
Deepika S.
22. Assessing Global Water Scarcity Using the WEAP Model: Implications for
Sustainable Development
Kajal Dudhatra and Sajaykumar Joshi
23. IoT-Driven Batch Tracking System for Pharmaceutical Quality and
Compliance in Industry 4.0
Abhishek Tripathi, B. Hanuma Kumar, Shubham Anjankar,
Suresh Balpande, Saral Kumar Gupta and Chandra Mohan S. Negi
24. AI-Driven Load Balancing in Cloud Computing: A Deep Reinforcement
Learning Approach
Paresh Tanna, Nirav Bhatt, Sunil Soni, Jaydeep Tadhani and Riaz Israni
25. A Comprehensive Review of Intrusion Detection in In-Vehicle Networks:
Advances, Challenges, and Insights from the CICIoV2024 Dataset
Rakesh Parmar and Nirav Bhatt
26. Improving Educational Outcomes with AI: Predicting CGPA Using
Socio-Economic Factors
T. Raja Reddy, Anju Kakkad, Chetan Shingadiya, M. Mohan Babu,
Aayush Shtivastava and Alpana Kumari
27. Transformer-Based Deep Learning for Stock Price Prediction:
The Impact of Sentiment Analysis
J. Velmurugan, Jay D. Fuletra, Amit Lathigara,
P. Jyotheeswari and Ashish Raghuwanshi
28. Optimization of Tractor Seat Suspension for Vibration Reduction Using
MATLAB-Based Transmissibility Analysis
Nishant Korat, Chetankumar Patel and G. D. Acharya
29. AI-Enhanced Energy Management Solutions for Smart Micro-grid Organism
S. Muthukumar, Riaz K. Israni, Chirag Kumar Parekh and Anuprita Mishra
30. Block Chain Based Smart and Secure Logistic Management System using AI
Amit Lathigara, Sunil Soni, Jaydeep Tadhani, Jay Fuletra and Nikhat Raza Khan
31. A Systematic Review of Intrusion Detection in IoT: Efficiency, Transparency,
and Zero-Day Resilience
Rahul Keshwala and Paresh Tanna
32. Real-Time Intrusion Detection and Cloud-based Facial Recognition for
Smart Home Security Systems
Josephine Selle Jeyanathan, Cross T. Asha Wise, O. Ansel Tom,
C. Yogeswar, G. Sankeerth and Y. Dharani Kumar
33. Analysing Caloric and Mineral Intake from Fruit Consumption:
A Computational Framework Using AI, IoT, and Machine Learning with
Real-Time Wearable Output
Dhayalan, Homera Durani, Paresh Tanna, Manmohan Singh and
Parita Rathod
34. Performance of ARIMA in TEC Prediction for Quiet and Disturbed
Days Over the Equatorial Low Latitude Region
Swati Kemkar, Suman Mukherjee and Sumitra Iyer
35. Dengue Detection using Machine Learning Approach
Nilesh Radadiya and Paresh Tanna
36. Leveraging Machine Learning Techniques for Predicting Major Diseases in
Groundnut Crop Cultivation
Vimal Pambhar and Nirav Bhatt
37. Technological Advancements in Indian Policing: The Role of Digital Arrests
Sarita Sharma, Lalit Kumar, Amit Kumar Bindal, Abhishek Saini,
Deepanshu Saini and Paresh Tanna
38. Enhancing Criminal Identification through Siamese CNN Facial
Recognition: A Law Enforcement Perspective
Rani Sahu, Roopali Soni, Vidhi Sadh, Shamaila Khan,
Ashutosh Dixit and Shivangi Patel
39. Enhancing Organizational Security and Efficiency: A Digital
QR Code-Based Access Control System
Rani Sahu, Mayank Kumar Verma, Sarvesh Vyas, Sushila Sonare,
Ruchi Bhargava and Homera Durani
40. Optimizing MANET Routing with SINTM: A Smarter Load Balancing
Approach
Rani Sahu, Sarita Yogi, Nazeer Khan, Rajesh Kumar Nigam,
Sarvesh Vyas and Bhoomi Danger
41. Networks Design and Evaluation of a Zone-Based Energy-Efficient
Routing Protocol for Hybrid Wireless Networks
Rani Sahu, Vinay Sahu, Seema Joshi, Sujeet Kumar,
Sachin Malviya and Anju Kakkad
42. Enhancing Medication Adherence through an IoT-Enabled Automated
Pill Dispenser with Real-Time Monitoring
Abhishek Tripathi, Peddineni Akshitha, Meka Venkata Mahalakshmi,
Ramagiri Manjusha, Padidham Bhargavi and Suresh Balpande
43. Application of a Genetic Algorithm in 0-1 Knapsack Problem
Sajad Abdlkadhim, Sait Demir and Emrullah Sonuç
44. An Extensive Analysis of a Deep Learning-Based Plant Disease
Identification System
Milan Gohel and Hiren Kavatjhiya
45. Exploratory Data Analysis and Feature Correlation Insights on the CICIoV2024
Dataset for IoV Security
Nirav Bhatt, Amit Lathigara, Sunil Soni, Paresh Tanna and Jaydeep Tadhani
46. Reinforcement Learning for 5G D2D Communication in Proximity-Based
Networks
Anu Mangal, Anjali Potnis, M.A. Rizvi, Rani Sahu, Manmohan Singh and
Parita Rathod
47. Deep Neural Network-Based Trust Management System with Enhanced
Attack Resistance
Jayashree C. Pasalkar and Dattatraya S. Bormane
48. Revolutionizing Cricket Team Selection: AI and ML-Driven Player
Performance Prediction—A Comprehensive Review
Ravindra Dangar, Amit Lathigara and Yasin Ortakci
49. Using Big Data Analytics in Wireless Cellular Networks: A Transformational
Impact on the Telecommunications Industry
Hemant Kumar Gianey, Kishan, Sarvesh vyas, Aayush Shrivastava,
Manmohan Singh and Amit Lathigara
50. Forest Fire Prediction System using Wireless Sensor Networks and
Deep Learning
Garima Priya, Aayush Shrivastava, Amandeep Kaur, Bhupesh Gupta,
Mohit Chhabra and Jay Fuletra
51. Concept of Sliding Block Type Self-Centering Vise Clamp for
Smart Manufacturing
Dipeshkumar M. Chauhan and Chetankumar M. Patel
52. Optimized Federated Learning for Decentralized Healthcare Data
E. S. Chakravarthy, Amit Lathigara, Rajanikanth Aluvalu and
M. Giridhar Kumar
53. Revolutionizing Cloud Computing: Decentralized Scheduling with
Federated Learning for Enhanced Resource Utilization
A. Damayanthi, Amit Lathigara, Rajanikanth Aluvalu and
M. Giridhar Kumar
54. Predicting Climate Change Impact on Crop Yield: A Review of AI-Based
Implementations in Maharashtra
Ketaki Ghawali and Abhishek Garg
55. Comprehensive Investigation of Cutting Parameters for
“Nanowhite Crystallized Glass” Tiles
Viraj Sudani, Chetankumar Patel and G. D. Acharya
56. Optimized EEG-EMG Fusion Model for Continuous Hand Trajectory
Estimation in Brain Computer Interfaces
Rohit Gupta, Amit Bhongade, Bijuni Charan Sutar and Tapan K. Gandhi
57. Transformer and Graph Analytics for Big Data-Driven Intrusion Detection:
A Novel Framework
Ashish Jain, Nikhat Raza Khan and Chetan Shingadiya
58. Machine Learning-Based Crop Classification Using Random Forest for
Precision Agriculture
Aayush Shrivastava, Nikhat Raza Khan, Keshav Mishra, Ritu Ranjani Singh,
Akanksha Meshram and Nirav Bhatt
59. Vibrating Massage Belt for Elderly and Working Women
Patnala Mamathadevi, Mamatha kumari, Guri Mulinaidu,
Malla Ramya Charmini,Kandregula Pavan and Mohammed Mubeen
60. Machine Learning for Sports Score and Winner Prediction: A Critical
Review of Research Gaps and Model Enhancements
Kishankumar Ganatra, Anju Kakkad and Chetan Shingadiya
61. Enhancing Cybersecurity Resilience in 6G Networks Using Adversarial
Machine Learning
Abhishek Tripathi, Anagha A. S., Aiswarya S. Kumar, Shubham Anjankar,
Suresh Balpande and S. Wilson Prakash
62. Optimization of Steam Venting Loss in Coal-Fired AFBC Boiler by
Controlling Coal Feeding Primary Air Lines Choking Issue
Chirag V. Kapuia and Chetankumar M. Patel
63. Real-Time IoT Solution for Smart Agriculture using Thingspeak and Whatsapp
Man Singh Baghel, R. C. Gurjar, Gireesh G. Soni, Abhishek Tripathi and
Rajesh Khatri
64. Behavioral Analysis of QUIC Protocol under DDoS
Sejpalsinh Jadeja, Shivangi Patel, Nirav Bhatt and
Utkarsh Tamrakar
65. Confidential AI Prompt Sharing: A Block-chain Driven Framework for
Secure Data Exchange
Sankara Reddy Thamma, Bharath Reddy Devalampeta,
Mukheswara Reddy Jangareddy and Paresh Tanna
66. Load Balancing Algorithm for Data Centers to Optimize Cloud Computing
Applications 369
P. Jyotheeswari, Dhayalan, S. Muthukumar, Nirav Bhatt and
P. Thirumurugan
67. Food Calory Estimation and BMI Prediction using Ml
R. Mohanraj, G. Kavitha, Amit Lathigara, D. Sruthi and
George Sebastian
68. IoT Based Theft Detection using SMTP Protocol
K. Thyagarajan, Sangeetha, M. Balasubramanian,
A. Anburaj and Paresh Tanna
69. The Impact of Oversampling Methods on Predicting Employee Turnover
Derya Habib and Oğuz Findik
About the Author :
Dr. Amit Lathigara
Dr. Amit Lathigara is a distinguished academician and the Provost at RK University, with over 20 years of experience in higher education. He has made significant contributions to research, with high-impact publications and extensive guidance in his field. As an expert, he has represented RK University in numerous national and international academic and research workshops. He has received various national and international research grants. He has received multiple awards, including the Faculty Fellow Award in 2018, and holds an ING.PAED.IGIP certification as an international engineering educator.
Dr. Nirav Bhatt
Dr. Nirav Bhatt, Professor at Computer Science and Engineering, School of Engineering, RK University, over the course of his 18-years career in technical education, he contributed in teaching, research and institutional development. His research work encompasses various latest emerging areas including publications in reputed journals. His efforts have been acknowledged through various competitive research grants, including government-supported fundings aimed at modernizing technical education. He plays an influential role in shaping academic standards by serving as a member of the editorial boards, review panels, technical committees, etc.
Dr. Paresh Tanna
Dr. Paresh Tanna is a Professor with School of Engineering, RK University. He is currently a distinguished researcher and academic with extensive experience in computer science and engineering. He has received prestigious research grants, academic excellence awards, and is recognized with multiple best paper awards at international conferences. With over 19 years of experience in research and academia, he has made significant contributions to research publications and guidance. He also serves as a reviewer, an editor, and the chair for different conferences/journal, ensuring the dissemination of high-quality research. Also, his dedication to research, innovation, and academic excellence inspires peers and students
