Emerging Perspectives and Applications of Computational Intelligence and Smart Systems

Herausgeber: Lathigara, Amit; Tanna, Paresh; Bhatt, Nirav

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: CRC Press
• Seitenzahl: 390
• Erscheinungstermin: 23. Dezember 2025
• Englisch
• Abmessung: 254mm x 178mm
• ISBN-13: 9781041209652
• ISBN-10: 1041209657
• Artikelnr.: 75345761

Autorenporträt

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

Inhaltsangabe

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 Ró
a Dzier
ak 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 O
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