| Description |
1 online resource (1 volume) |
| Contents |
Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- Contributors -- Editors -- CHAPTER 1: Multi-labelled Bengali Public Comments Sentiment Analysis with Bidirectional Recurrent Neural Networks (Bi-RNNs) -- CHAPTER 2: Machine Learning and Blockchain-based Privacy-aware: Cognitive Radio Internet of Things -- CHAPTER 3: Machine Learning-based Models for Predicting Autism Spectrum Disorders -- CHAPTER 4: Implementing Machine Learning Using the Neural Network for the Time Delay SIR Epidemic Model for Future Forecasting |
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CHAPTER 5: Prediction of PCOS Using Machine Learning and Deep Learning Algorithms -- CHAPTER 6: Malware Detection: Performance Evaluation of ML Algorithms Based on Feature Selection and ANOVA -- CHAPTER 7: An Efficient Approach to Assess the Soil Quality of Sundarbans Utilizing Hierarchical Clustering -- CHAPTER 8: A Machine Learning Approach to Clinically Diagnose Human Pyrexia Cases -- CHAPTER 9: Prediction of the Dengue Incidence in Bangladesh Using Machine Learning -- CHAPTER 10: Detecting DNS over HTTPS Traffic Using Ensemble Featurebased Machine Learning |
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CHAPTER 11: Development of a Risk-Free COVID-19 Screening Algorithm from Routine Blood Tests Using Ensemble Machine Learning -- CHAPTER 12: A Transfer Learning Approach to Recognize Pedestrian Attributes -- CHAPTER 13: TF-IDF Feature-based Spam Filtering of Mobile SMS Using a Machine Learning Approach -- CHAPTER 14: Content-based Spam Email Detection Using an N-gram Machine Learning Approach -- CHAPTER 15: AI Poet: A Deep Learning-based Approach to Generate Artificial Poetry in Bangla |
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CHAPTER 16: Document Level Comparative Sentiment Analysis of Bangla News Using Deep Learning-based Approach LSTM and Machine Learning Approaches -- CHAPTER 17: Employee Turnover Prediction Using a Machine Learning Approach -- CHAPTER 18: A Dynamic Topic Identification and Labeling Approach for COVID-19 Tweets -- CHAPTER 19: Analyzing the IT Job Market and Classifying IT Jobs Using Machine Learning Algorithms -- Index |
| Summary |
We are all aware that artificial intelligence (AI) has brought a change in our lives, driven by a new form of interaction between man and machine. We are in the era of the fourth Industrial Revolution (IR) where AI plays vital roles in human development by enabling extraordinary technological advances making fundamental changes to the way we live, work and relate to one another. It is an opportunity to help everyone, including leaders, policymakers and people from all income groups and nations, to harness converging technologies in order to create an inclusive, human-centered future. We need to prepare our graduates as well as researchers to conduct their research with 4.0 IR-related technologies. We need to develop policies and implement those policies to focus onthe components of 4.0 IR for sustainable developments.Applied Intelligence for Industry 4.0 will cover cutting edge topics in the fields of AI and industry 4.0.The textwill appeal to beginners and advanced researchers in computer science, information sciences, engineering and robotics. Features Discusses advance data mining, feature extraction and classification algorithms for disease detection, cyber security detection and prevention, soil quality assessment and other industrial applications Includes the parameter optimization and explanation of intelligent approaches for business applications Presents context-aware smart insights and energy efficient and smart computing for the next-generation ofsmart industry |
| Notes |
Nazmul Siddique received the Dipl.-Ing. degree in Cybernetics and Automation from Dresden University of Technology, Dresden, Germany, MSc in Computer Science from Bangladesh University of Engineering and Technology, Dhaka, Bangladesh and the Ph.D in Intelligent Control from the University of Sheffield, England, U.K. He has been a Lecturer with the School of Computing, Engineering and Intelligent Systems, University of Ulster Magee Campus, Londonderry, U.K since 2001. He was previously with the Computer Science and Engineering Discipline, Khulna University, Khulna, Bangladesh. He has been a guest editor of seven special issues of several reputed journals. He has served as committee member and chair of a number of national and international conferences. He is a senior member of IEEE. He is on the Editorial Board of a number of International Journals. Dr. Siddique has published over 170 journal, refereed conference papers, book chapters, and five books (John Wiley, Springer, Taylor & Francis). His research interests are in the fields of intelligent systems, computational intelligence, stochastic systems, and Markov modeling |
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Print version record |
| Subject |
Industry 4.0.
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Artificial intelligence -- Industrial applications
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COMPUTERS / Artificial Intelligence
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COMPUTERS / Computer Graphics / Game Programming & Design
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Artificial intelligence -- Industrial applications.
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Industry 4.0.
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| Form |
Electronic book
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| Author |
Siddique, N. H., editor.
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| ISBN |
9781003256083 |
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1003256082 |
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9781000804270 |
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1000804275 |
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9781000804232 |
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1000804232 |
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