{"product_id":"optimized-computational-intelligence-driven-decision-making-theory-application-and-challenges-hardback-9781394242535","title":"Optimized Computational Intelligence Driven Decision-Making; Theory, Application and Challenges (Hardback) 9781394242535","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eOptimized Computational Intelligence Driven Decision-Making\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eTheory, Application and Challenges\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eHrudaya Kumar Tripathy (Edited by), Tripathy (Author), Sushruta Mishra (Edited by), Minakhi Rout (Edited by), S. Balamurugan (Edited by), Samaresh Mishra (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394242535, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 25 September 2024\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e368 pages\u003cbr\u003e22.9 x 15.2 x 2.3 cm, 0.765 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eThis book covers a wide range of advanced techniques and approaches for designing and implementing computationally intelligent methods in different application domains which is of great use to not only researchers but also academicians and industry experts.\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eOptimized Computational Intelligence (OCI) is a new, cutting-edge, and multidisciplinary research area that tackles the fundamental problems shared by modern informatics, biologically-inspired computation, software engineering, AI, cybernetics, cognitive science, medical science, systems science, philosophy, linguistics, economics, management science, and life sciences. OCI aims to apply modern computationally intelligent methods to generate optimum outcomes in various application domains. This book presents the latest technologies-driven material to explore optimized various computational intelligence domains. \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eincludes real-life case studies highlighting different advanced technologies in computational intelligence;\u003c\/li\u003e \u003cli\u003eprovides a unique compendium of current and emerging hybrid intelligence paradigms for advanced informatics;\u003c\/li\u003e \u003cli\u003ereflects the diversity, complexity, and depth and breadth of this critical bio-inspired domain;\u003c\/li\u003e \u003cli\u003eoffers a guided tour of computational intelligence algorithms, architecture design, and applications of learning in dealing with cognitive informatics challenges;\u003c\/li\u003e \u003cli\u003epresents a variety of intelligent and optimized techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional data analytics research in intelligent decision-making system dynamics;\u003c\/li\u003e \u003cli\u003eincludes architectural models and applications-based augmented solutions for optimized computational intelligence.\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003cb\u003eAudience\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eThe book will interest a range of engineers and researchers in information technology, computer science, and artificial intelligence working in the interdisciplinary field of computational intelligence.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Emergence of Advanced Computational Intelligence Coupled with Smart Environment 1\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eRisha Rani and Tirtha Deb\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 2\u003c\/p\u003e \u003cp\u003e1.2 Background Works 3\u003c\/p\u003e \u003cp\u003e1.3 Integrated Smart Environment 4\u003c\/p\u003e \u003cp\u003e1.4 Proposed Models for Smart Intelligent Environment 5\u003c\/p\u003e \u003cp\u003e1.5 IoT Architecture 16\u003c\/p\u003e \u003cp\u003e1.6 Smart Environment and Advanced Computational Intelligence 23\u003c\/p\u003e \u003cp\u003e1.7 Advanced Computational Intelligences: Possible Uses in Smart Environment 24\u003c\/p\u003e \u003cp\u003e1.8 Conclusion 26\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Machine Learning-Enabled Integrated Information Platform for Educational Universities 29\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSai Smurti Sahu, Rishav Kumar, Soumya Sahoo, Balwant Kumar and Padmabati Mohanta\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 30\u003c\/p\u003e \u003cp\u003e2.2 Cloud-Based Web Application for University 30\u003c\/p\u003e \u003cp\u003e2.3 Integrated Information Platform of Indian Universities Using Machine Learning 36\u003c\/p\u003e \u003cp\u003e2.4 Applications Used to Designed This Web Platform 37\u003c\/p\u003e \u003cp\u003e2.5 Analysis Result 38\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 False Data Injection Attack Detection Using Machine Learning in Industrial Internet of Things 49\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eHafizunisa, Prerna Rai and Damini Sinha\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 50\u003c\/p\u003e \u003cp\u003e3.2 Literature Review 54\u003c\/p\u003e \u003cp\u003e3.3 Technical Methodology 56\u003c\/p\u003e \u003cp\u003e3.4 Proposed Model for Detecting False Data and its Correction 59\u003c\/p\u003e \u003cp\u003e3.5 Complexity Analysis of Proposed Model 63\u003c\/p\u003e \u003cp\u003e3.6 Advantages of the Model 64\u003c\/p\u003e \u003cp\u003e3.7 Future Scope and Limitations of the Proposed Model 65\u003c\/p\u003e \u003cp\u003e3.8 Conclusion 65\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Fake News Detection: Restricting Spreading of Misinformation Using Machine Learning 69\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eShubham Choudhary and Pratyush Mishra\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 70\u003c\/p\u003e \u003cp\u003e4.2 Scope of False News Detection 73\u003c\/p\u003e \u003cp\u003e4.3 Main Highlights of the Analysis 73\u003c\/p\u003e \u003cp\u003e4.4 A Novel Model for False News Detection 76\u003c\/p\u003e \u003cp\u003e4.5 Literature Review 78\u003c\/p\u003e \u003cp\u003e4.6 Results and Analysis 80\u003c\/p\u003e \u003cp\u003e4.7 Conclusion 81\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Adaptability, Flexibility, and Accessibility Through Telemedicine 85\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eDipti Verma, Somyajyoti Talukdar and Kumari Alankrita Sharma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 86\u003c\/p\u003e \u003cp\u003e5.2 Related Works 89\u003c\/p\u003e \u003cp\u003e5.3 Proposed Model for Remote Health Monitoring System 93\u003c\/p\u003e \u003cp\u003e5.3.1 Microcontroller and Sensor 95\u003c\/p\u003e \u003cp\u003e5.4 Benefits of the Proposed Model 96\u003c\/p\u003e \u003cp\u003e5.5 Constraints of the Proposed Model 98\u003c\/p\u003e \u003cp\u003e5.6 Conclusion 101\u003c\/p\u003e \u003cp\u003e5.7 Future Works 102\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Crop Prediction by Implementing Machine Learning in an IoT-Based System 107\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eVivian Rawade and Shubham Sahoo\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 108\u003c\/p\u003e \u003cp\u003e6.2 Literature Review 110\u003c\/p\u003e \u003cp\u003e6.3 Proposed Model for Crop Prediction 112\u003c\/p\u003e \u003cp\u003e6.4 Results and Analysis 123\u003c\/p\u003e \u003cp\u003e6.5 Challenges Faced 125\u003c\/p\u003e \u003cp\u003e6.6 Advantages of the Proposed Model 127\u003c\/p\u003e \u003cp\u003e6.7 Disadvantages of the Proposed Model 127\u003c\/p\u003e \u003cp\u003e6.8 Conclusion 128\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Relevance of Smart Management of Road Traffic System Using Advanced Intelligence 131\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eKoustab Chowdhury and Rishabh Kapoor\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 132\u003c\/p\u003e \u003cp\u003e7.2 Related Works 135\u003c\/p\u003e \u003cp\u003e7.3 Proposed Model of Traffic Management System 139\u003c\/p\u003e \u003cp\u003e7.4 Role of AI in Traffic Management 146\u003c\/p\u003e \u003cp\u003e7.5 Conclusion and Future Works 148\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Visualization of Textual Corpora Using Social Network Analysis 151\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eIndu Rodda and Durga Bhavani S.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 152\u003c\/p\u003e \u003cp\u003e8.2 Related Literature 154\u003c\/p\u003e \u003cp\u003e8.3 Proposed Method 156\u003c\/p\u003e \u003cp\u003e8.4 Implementation and Results 163\u003c\/p\u003e \u003cp\u003e8.5 Conclusion and Future Work 169\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Autonomous Intelligent Vehicles: Impact, Current Market, Future Trends, Challenges, and Limitations 173\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eKamalanathan Shanmugam, Muhammad Ehsan Rana and Felix Ting Yu Hong\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 174\u003c\/p\u003e \u003cp\u003e9.2 The Global Impact of the AV Industry 176\u003c\/p\u003e \u003cp\u003e9.3 Role of Machine Learning in Autonomous Vehicles 177\u003c\/p\u003e \u003cp\u003e9.4 Significance of the AV Industry in Various Sectors 179\u003c\/p\u003e \u003cp\u003e9.5 Current Market and Future Trends in AV Industry 184\u003c\/p\u003e \u003cp\u003e9.6 Challenges and Limitations 189\u003c\/p\u003e \u003cp\u003e9.7 Conclusion 192\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Role of Smart and Predictive Healthcare in Modern Society 195\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMuhammad Ehsan Rana and Manoj Jayabalan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 196\u003c\/p\u003e \u003cp\u003e10.2 Healthcare System 197\u003c\/p\u003e \u003cp\u003e10.3 Role of Predictive Analytics in Healthcare 198\u003c\/p\u003e \u003cp\u003e10.4 Application of IoT in Healthcare 199\u003c\/p\u003e \u003cp\u003e10.5 IoT Based Healthcare Management Framework 200\u003c\/p\u003e \u003cp\u003e10.6 Future Recommendations for Research 210\u003c\/p\u003e \u003cp\u003e10.7 Conclusion 211\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 An Analytical Study on Depression Detection Using Machine Learning 215\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAngelia Melani Adrian and Junaidy Budi Sanger\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 216\u003c\/p\u003e \u003cp\u003e11.2 Literature Survey 217\u003c\/p\u003e \u003cp\u003e11.3 Proposed System 220\u003c\/p\u003e \u003cp\u003e11.4 Challenges of Machine Learning in Depression Detection 225\u003c\/p\u003e \u003cp\u003e11.5 Conclusion and Future Work 226\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Revolutionizing Healthcare: Empowering Faster Treatment with IoT-Powered Smart Healthcare 229\u003c\/b\u003e\u003cbr\u003e\u003ci\u003ePrerna Kumari, Rupali Agarwal and Shruti Kumari\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 230\u003c\/p\u003e \u003cp\u003e12.2 Scope\/Motivation 233\u003c\/p\u003e \u003cp\u003e12.3 Literature Survey 234\u003c\/p\u003e \u003cp\u003e12.4 Smart Technology 235\u003c\/p\u003e \u003cp\u003e12.5 Methods and Materials 236\u003c\/p\u003e \u003cp\u003e12.6 Result 245\u003c\/p\u003e \u003cp\u003e12.7 Conclusion 248\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Machine Learning Algorithms for Initial Diagnosis of Parkinson’s Disease 251\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eUdayan Das, Manish Jena and Manish Roy\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Overview of Parkinson’s Disease 251\u003c\/p\u003e \u003cp\u003e13.2 Scope 254\u003c\/p\u003e \u003cp\u003e13.3 Related Works 255\u003c\/p\u003e \u003cp\u003e13.4 Comparative Analysis of Parkinson’s Disease 260\u003c\/p\u003e \u003cp\u003e13.5 Pros and Cons Using ML Algorithms 267\u003c\/p\u003e \u003cp\u003e13.6 Conclusion and Future Works 271\u003c\/p\u003e \u003cp\u003e13.7 Bibliography 271\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Towards a Sustainable Future: Harnessing the Power of Computational Intelligence to Track Climate Change 275\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSatyam Sinha, Shreyash Kumar Agnihotri and Oshmita Sarkar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 276\u003c\/p\u003e \u003cp\u003e14.2 Artificial Intelligence and Climate Change Adaptation 277\u003c\/p\u003e \u003cp\u003e14.3 Related Works 278\u003c\/p\u003e \u003cp\u003e14.4 Comparative Analysis of Technological Frameworks to Handle Climate Crisis 280\u003c\/p\u003e \u003cp\u003e14.5 Future Scope of Climatic Crisis Handling with AI 299\u003c\/p\u003e \u003cp\u003e14.6 Conclusion 300\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Impact of Computational Intelligence and Modeling in Tackling Weather Fluctuation 305\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eRohan Karn, Aniket Rouniyar, Ranjit Kumar Das and Amit Gupta\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 306\u003c\/p\u003e \u003cp\u003e15.2 Objective 308\u003c\/p\u003e \u003cp\u003e15.3 Causes of Climate Crisis 309\u003c\/p\u003e \u003cp\u003e15.4 Significance of AI and Modeling on Climate Crisis 311\u003c\/p\u003e \u003cp\u003e15.5 Plastic Waste Detection Model 319\u003c\/p\u003e \u003cp\u003e15.6 Forest Fire Prediction Models Using AI 325\u003c\/p\u003e \u003cp\u003e15.7 Results 329\u003c\/p\u003e \u003cp\u003e15.8 Conclusion 331\u003c\/p\u003e \u003cp\u003eReferences 332\u003c\/p\u003e \u003cp\u003eIndex 335\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Computer science [\u003ca title=\"See our other books on Computer science\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20science%20%5BUY%5D%22\"\u003eUY\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52433232920856,"sku":"9781394242535","price":118.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394242535.jpg?v=1784852352","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/optimized-computational-intelligence-driven-decision-making-theory-application-and-challenges-hardback-9781394242535","provider":"Freshly Printed Books","version":"1.0","type":"link"}