Optimized Computational Intelligence Driven Decision-Making

Hrudaya Kumar Tripathy, PhD, is an associate professor in the School of Computer Engineering, KIIT Deemed to be University, He has more than 20 years of teaching experience and his research interests include neural networks, pattern recognition, software engineering, machine learning, and big data. He has published several books and research papers in various journals and conferences. Tripathy received the 2013 Young IT Professional Award from the Computer Society of India. Sushruta Mishra, PhD, is an associate professor in the School of Computer Engineering, KIIT Deemed to be University, Odisha, India. He obtained his doctorate in 2017 and his research interests include image processing, machine learning, the Internet of Things, and cognitive computing. He has published 130+ research articles in international journals and conferences. Minakhi Rout, PhD, is an associate professor in the School of Computer Engineering, KIIT Deemed to be University, Odisha, India. She obtained her PhD in 2015 and her research interests focus on computational finance, data mining, and machine learning. Rout has published 50+ research papers in international journals and conferences. S. Balamurugan, PhD, is the Director of Research and Development, Intelligent Research Consultancy Services (iRCS), Coimbatore, Tamilnadu, India. He is also Director of the Albert Einstein Engineering and Research Labs (AEER Labs), as well as Vice-Chairman, Renewable Energy Society of India (RESI), India. He has published 45 books, 200+ international journals/ conferences, and 35 patents. Samaresh Mishra, PhD, is the director of student affairs at KIIT Deemed to be University. He obtained a PhD in computer science from Utkal University. His research areas focus on software testing, machine learning, and cloud computing. He has published 30+ academic papers.

• Preface xv1 Emergence of Advanced Computational Intelligence Coupled with Smart Environment 1Risha Rani and Tirtha Deb1.1 Introduction 21.2 Background Works 31.3 Integrated Smart Environment 41.4 Proposed Models for Smart Intelligent Environment 51.5 IoT Architecture 161.6 Smart Environment and Advanced Computational Intelligence 231.7 Advanced Computational Intelligences: Possible Uses in Smart Environment 241.8 Conclusion 262 Machine Learning-Enabled Integrated Information Platform for Educational Universities 29Sai Smurti Sahu, Rishav Kumar, Soumya Sahoo, Balwant Kumar and Padmabati Mohanta2.1 Introduction 302.2 Cloud-Based Web Application for University 302.3 Integrated Information Platform of Indian Universities Using Machine Learning 362.4 Applications Used to Designed This Web Platform 372.5 Analysis Result 383 False Data Injection Attack Detection Using Machine Learning in Industrial Internet of Things 49Hafizunisa, Prerna Rai and Damini Sinha3.1 Introduction 503.2 Literature Review 543.3 Technical Methodology 563.4 Proposed Model for Detecting False Data and its Correction 593.5 Complexity Analysis of Proposed Model 633.6 Advantages of the Model 643.7 Future Scope and Limitations of the Proposed Model 653.8 Conclusion 654 Fake News Detection: Restricting Spreading of Misinformation Using Machine Learning 69Shubham Choudhary and Pratyush Mishra4.1 Introduction 704.2 Scope of False News Detection 734.3 Main Highlights of the Analysis 734.4 A Novel Model for False News Detection 764.5 Literature Review 784.6 Results and Analysis 804.7 Conclusion 815 Adaptability, Flexibility, and Accessibility Through Telemedicine 85Dipti Verma, Somyajyoti Talukdar and Kumari Alankrita Sharma5.1 Introduction 865.2 Related Works 895.3 Proposed Model for Remote Health Monitoring System 935.3.1 Microcontroller and Sensor 955.4 Benefits of the Proposed Model 965.5 Constraints of the Proposed Model 985.6 Conclusion 1015.7 Future Works 1026 Crop Prediction by Implementing Machine Learning in an IoT-Based System 107Vivian Rawade and Shubham Sahoo6.1 Introduction 1086.2 Literature Review 1106.3 Proposed Model for Crop Prediction 1126.4 Results and Analysis 1236.5 Challenges Faced 1256.6 Advantages of the Proposed Model 1276.7 Disadvantages of the Proposed Model 1276.8 Conclusion 1287 Relevance of Smart Management of Road Traffic System Using Advanced Intelligence 131Koustab Chowdhury and Rishabh Kapoor7.1 Introduction 1327.2 Related Works 1357.3 Proposed Model of Traffic Management System 1397.4 Role of AI in Traffic Management 1467.5 Conclusion and Future Works 1488 Visualization of Textual Corpora Using Social Network Analysis 151Indu Rodda and Durga Bhavani S.8.1 Introduction 1528.2 Related Literature 1548.3 Proposed Method 1568.4 Implementation and Results 1638.5 Conclusion and Future Work 1699 Autonomous Intelligent Vehicles: Impact, Current Market, Future Trends, Challenges, and Limitations 173Kamalanathan Shanmugam, Muhammad Ehsan Rana and Felix Ting Yu Hong9.1 Introduction 1749.2 The Global Impact of the AV Industry 1769.3 Role of Machine Learning in Autonomous Vehicles 1779.4 Significance of the AV Industry in Various Sectors 1799.5 Current Market and Future Trends in AV Industry 1849.6 Challenges and Limitations 1899.7 Conclusion 19210 Role of Smart and Predictive Healthcare in Modern Society 195Muhammad Ehsan Rana and Manoj Jayabalan10.1 Introduction 19610.2 Healthcare System 19710.3 Role of Predictive Analytics in Healthcare 19810.4 Application of IoT in Healthcare 19910.5 IoT Based Healthcare Management Framework 20010.6 Future Recommendations for Research 21010.7 Conclusion 21111 An Analytical Study on Depression Detection Using Machine Learning 215Angelia Melani Adrian and Junaidy Budi Sanger11.1 Introduction 21611.2 Literature Survey 21711.3 Proposed System 22011.4 Challenges of Machine Learning in Depression Detection 22511.5 Conclusion and Future Work 22612 Revolutionizing Healthcare: Empowering Faster Treatment with IoT-Powered Smart Healthcare 229Prerna Kumari, Rupali Agarwal and Shruti Kumari12.1 Introduction 23012.2 Scope/Motivation 23312.3 Literature Survey 23412.4 Smart Technology 23512.5 Methods and Materials 23612.6 Result 24512.7 Conclusion 24813 Machine Learning Algorithms for Initial Diagnosis of Parkinson’s Disease 251Udayan Das, Manish Jena and Manish Roy13.1 Overview of Parkinson’s Disease 25113.2 Scope 25413.3 Related Works 25513.4 Comparative Analysis of Parkinson’s Disease 26013.5 Pros and Cons Using ML Algorithms 26713.6 Conclusion and Future Works 27113.7 Bibliography 27114 Towards a Sustainable Future: Harnessing the Power of Computational Intelligence to Track Climate Change 275Satyam Sinha, Shreyash Kumar Agnihotri and Oshmita Sarkar14.1 Introduction 27614.2 Artificial Intelligence and Climate Change Adaptation 27714.3 Related Works 27814.4 Comparative Analysis of Technological Frameworks to Handle Climate Crisis 28014.5 Future Scope of Climatic Crisis Handling with AI 29914.6 Conclusion 30015 Impact of Computational Intelligence and Modeling in Tackling Weather Fluctuation 305Rohan Karn, Aniket Rouniyar, Ranjit Kumar Das and Amit Gupta15.1 Introduction 30615.2 Objective 30815.3 Causes of Climate Crisis 30915.4 Significance of AI and Modeling on Climate Crisis 31115.5 Plastic Waste Detection Model 31915.6 Forest Fire Prediction Models Using AI 32515.7 Results 32915.8 Conclusion 331References 332Index 335