Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development.
Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems.
- Provides insights into the latest research trends in hybrid intelligent algorithms and architectures
- Focuses on the application of hybrid intelligent techniques for pattern mining and recognition, in big data analytics, and in human-computer interaction
- Features hybrid intelligent applications in biomedical engineering and healthcare informatics
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xi | |
| Preface |
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xiii | |
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1 Application and techniques of opinion mining |
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1 | (24) |
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1 | (1) |
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1.2 Fundamentals of opinion mining |
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1.3 Feature extraction and its impact on opinion mining |
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5 | (2) |
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1.4 Deep learning and its relation to opinion mining |
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7 | (3) |
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1.5 Techniques of opinion mining |
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10 | (2) |
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1.6 Tools of opinion mining |
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12 | (6) |
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1.7 Ontology-based opinion mining |
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18 | (3) |
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1.8 Applications of opinion mining |
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21 | (2) |
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23 | (1) |
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23 | (2) |
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2 Influence of big data in smart tourism |
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25 | (24) |
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2.1 Introduction to smart tourism |
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2.2 Introduction to big data |
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27 | (2) |
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2.3 Applications of big data |
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29 | (2) |
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2.4 Use of big data in the travel sector |
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31 | (2) |
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2.5 Big data is transforming the travel industry |
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33 | (1) |
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2.6 Key findings for the travel sector |
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34 | (1) |
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2.7 Tools for big data analysis for smart tourism |
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34 | (8) |
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2.8 Applying PROPHET and ARIMA prediction models |
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42 | (2) |
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2.9 Challenges in data-intensive tourism |
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44 | (1) |
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2.10 Conclusion and future scope |
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45 | (1) |
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46 | (1) |
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46 | (3) |
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3 Deep learning and its applications for content-based video retrieval |
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49 | (20) |
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49 | (1) |
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3.2 Video retrieval techniques |
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50 | (2) |
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52 | (5) |
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3.4 Deep learning for video analysis |
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57 | (6) |
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3.5 A multitier deep learning-based video classification using C3D |
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63 | (4) |
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67 | (2) |
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4 A computationally intelligent agent for detecting fake news using generative adversarial networks |
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69 | (28) |
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69 | (4) |
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73 | (7) |
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4.3 Generative adversarial networks |
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80 | (2) |
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4.4 A case study on generative adversarial networks |
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4.5 Experiment and results |
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92 | (2) |
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94 | (1) |
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94 | (2) |
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96 | (1) |
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5 Hybrid computational intelligence for healthcare and disease diagnosis |
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97 | (26) |
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97 | (5) |
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5.2 Medical image segmentation and classification |
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102 | (9) |
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5.3 Disease and diagnosis approach |
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111 | (3) |
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5.4 Identifying brain activity using a state classifier |
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114 | (1) |
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115 | (3) |
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5.6 Health bioinformatics |
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118 | (2) |
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120 | (1) |
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121 | (1) |
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121 | (2) |
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6 Application of hybrid computational intelligence in health care |
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123 | (26) |
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6.2 Need for computational intelligence in health care |
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134 | (2) |
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6.3 Need for hybrid computational intelligence in health care |
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136 | (3) |
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6.4 Use cases for hybrid computational intelligence in health care |
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139 | (6) |
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145 | (1) |
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146 | (3) |
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7 Utility system for premature plant disease detection using machine learning |
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149 | (24) |
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149 | (2) |
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151 | (8) |
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7.3 Design and implementation |
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159 | (5) |
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164 | (5) |
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169 | (1) |
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170 | (1) |
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171 | (2) |
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8 Artificial intelligence-based computational fluid dynamics approaches |
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173 | (18) |
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173 | (1) |
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8.2 Al-based computational fluid dynamic approaches |
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174 | (9) |
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183 | (2) |
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185 | (2) |
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187 | (4) |
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9 Real-time video segmentation using a vague adaptive threshold |
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191 | (30) |
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191 | (2) |
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9.2 Temporal video segmentation (shot boundary detection) |
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193 | (6) |
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9.3 Basic concepts and preliminaries |
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199 | (9) |
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9.4 Approach for real-time video segmentation |
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208 | (2) |
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9.5 Experimental results and analysis |
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210 | (6) |
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9.6 Future directions and conclusion |
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216 | (1) |
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217 | (4) |
| Index |
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Siddhartha Bhattacharyya is a Senior Researcher in the Faculty of Electrical Engineering and Computer Science of VSB Technical University of Ostrava, Czech Republic. He is also serving as the Scientific Advisor of Algebra University College, Zagreb, Croatia. Prior to this, he served as the Principal of Rajnagar Mahavidyalaya, Rajnagar, Birbhum. He was a professor at CHRIST (Deemed to be University), Bangalore, India, and also served as the Principal of RCC Institute of Information Technology, Kolkata, India. He is the recipient of several coveted national and international awards. He received the Honorary Doctorate Award (D. Litt.) from the University of South America and the SEARCC International Digital Award ICT Educator of the Year in 2017. He was appointed as the ACM Distinguished Speaker for the tenure 2018-2020. He has been appointed as the IEEE Computer Society Distinguished Visitor for the tenure 2021-2023. He has co-authored six books, co-edited 75 books, and has more than 300 research publications in international journals and conference proceedings to his credit. Vaclav Snasel's research and development experience includes over 25 years in the Industry and Academia. He works in a multi-disciplinary environment involving artificial intelligence, multidimensional data indexing, conceptual lattice, information retrieval, semantic web, knowledge management, data compression, machine intelligence, neural network, web intelligence, data mining and applications to various real-world problems. He has authored/co-authored several refereed journal/conference papers and book chapters. In 2003 he became a visiting scientist in the Institute of Computer Science, Academy of Sciences of the Czech Republic. Since 2003 he has been vice-dean for Research and Science at Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Czech Republic. He has been a full professor since 2006. Before turning into a full time academic, he was working with industrial companies where he was involved in different industrial research and development projects for nearly 8 years. He received Ph.D. degree in Algebra and Geometry from Masaryk University, Brno, Czech Republic and a Master of Science degree from Palacky University, Olomouc, Czech Republic. Dr. Aditya Khamparia has expertise in teaching, entrepreneurship, and research and development of 11 years. He is presently working as Assistant Professor in Babasaheb Bhimrao Ambedkar University, Satellite Centre, Amethi, India. He received his Ph.D. degree from Lovely Professional University, Punjab, India in May 2018. He has completed his M. Tech. from VIT University, Vellore, Tamil Nadu, India and B. Tech. from RGPV, Bhopal, Madhya Pradesh, India. He has completed his PDF from UNIFOR, Brazil. He has published around 105 research papers along with book chapters including more than 25 papers in SCI indexed Journals with cumulative impact factor of above 100 to his credit. Additionally, he has authored and edited eleven books. Furthermore, he has served the research field as a Keynote Speaker/Session Chair/Reviewer/TPC member/Guest Editor and many more positions in various conferences and journals. His research interest include machine learning, deep learning for biomedical health informatics, educational technologies, and computer vision.
Dr. Ashish Khanna has 16 years of expertise in teaching, entrepreneurship, and research and development. He received his PhD from the National Institute of Technology, Kurukshetra, India, and completed a post-doc degree at the National Institute of Telecommunications (Inatel), Brazil. He has published around 40 SCI-indexed papers in 'IEEE Transactions', and in other reputed journals by Springer, Elsevier, and Wiley, with a cumulative impact factor of above 100. He has published around 90 research articles in top SCI/Scopus journals, conferences, and book chapters. He is co-author or editor of numerous books, including 'Advanced Computational Techniques for Virtual Reality in Healthcare' (Springer), 'Intelligent Data Analysis: From Data Gathering to Data Comprehension' (Wiley), and 'Hybrid Computational Intelligence: Challenges and Applications' (Elsevier). His research interests include distributed systems, MANET, FANET, VANET, Internet of Things, and machine learning. He is one of the founders of Bhavya Publications and the Universal Innovator Lab, which is actively involved in research, innovation, conferences, start-up funding events, and workshops. He is currently working at the Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, India, and is also a Visiting Professor at the University of Valladolid, Spain.
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