This new volume, Cognitive Computing Systems: Applications and Technological Advancements, explores the emerging area of artificial intelligence that encompasses machine self-learning, human-computer interaction, natural language processing, data mining and more.
This new volume, Cognitive Computing Systems: Applications and Technological Advancements, explores the emerging area of artificial intelligence that encompasses machine self-learning, human-computer interaction, natural language processing, data mining and more.
Vishal Jain, PhD, is an Associate Professor with Bharati Vidyapeeth¿s Institute of Computer Applications and Management (BVICAM), New Delhi, India (affiliated with Guru Gobind Singh Indraprastha University, and accredited by the All India Council for Technical Education). Akash Tayal, PhD, is an Assistant Professor of the Department of Electronics and Communication at the Indira Gandhi Delhi Technical University for Women, Delhi, India. Jaspreet Singh, PhD, is an Associate Professor in the Department of Computer Science, School of Engineering, GD Goenka University, Gurgaon, India. Arun Solanki, PhD, is an Assistant Professor in the Department of Computer Science and Engineering, Gautam Buddha University, Greater Noida, India, where he has also held various additional roles over the years.
Inhaltsangabe
Preface PART I: USING ASSISTIVE LEARNING TO SOLVE COMPUTATIONALLY INTENSE PROBLEMS 1. High-Frequency Stochastic Data Analysis Using a Machine Learning Framework: A Comparative Study Lokesh Kumar Shrivastav and Ravinder Kumar 2. Cognitive Machine Learning Framework to Evaluate Competency During the Course Endorsement for Computer Science Postgraduates Shivani A. Trivedi and Rebakah Jobdas 3. Cognitive Decision Making Through an Intelligent Database Agent for Predictive Analysis Shivani A Trivedi and Rebakah Jobdas 4. A Convergence of Mining and Machine Learning: The New Angle for Educational Data Mining Guleria, Pratiyush and Sood, Manu 5. Apna dermato: Human Skin Disease Finder Using Machine Learning Tarun Methwani, Gautam Menghani, Nitin Tejuja, Hemdev Karan, and Raghani Madhu 6. Artificial Intelligence Technique for Predicting Type 2 Diabetes Ramyashree and P. S. Venugopala PART II: DESIGNING IoT-BASED SMART SOLUTIONS FOR MONITORING AND SURVILLANCE 7. Smart Interfaces for Development of Comprehensive Health Monitoring Systems Dinesh Bhatia 8. Iot Based Smart Agriculture in India Akanksha Gupta and Umang Singh 9. Cognitive Internet of Things Shubham Singh Manhas, Mitali Aahar Rajput, and Deepak Kumar Sharma PART III: STATISTICAL AND MATHEMATICAL MODEL-BASED SOLUTIONS 10. Analysis of Epidemiology: Integrating Computational Models Deepak Kumar, Vinod Kumar, and Poojakhurana PART IV: APPLYING NEURAL NETWORKS AND DEEP LEARNING MODELS FOR COGNITIVE PROBLEMS 11. Recent Issues with Machine Vision Applications for Deep Network Architectures Naresh Kumar 12. Applications of Back Propagation and Conjugate Gradient Neural Networks in Structural Engineering S. Varadharajan, Kirthanashri S. Vasanthan, Shwetambra Verma, and Priyanka Singh 13. Application of Neural Networks in Construction Management S. Varadharajan, Kirthanashri S. Vasanthan, Shwetambra Verma, and Priyanka Singh PART V: SPEECH AND NLP APPLICATIONS IN COGNITION 14. Speech Recognition Fundamentals and Features Gurpreet Kaur, Mohit Srivastava, and Amod Kumar 15. Natural Language Processing V. Vishnuprabha, Lino Murali, and Daleesha M. Viswanathan Index
Preface PART I: USING ASSISTIVE LEARNING TO SOLVE COMPUTATIONALLY INTENSE PROBLEMS 1. High-Frequency Stochastic Data Analysis Using a Machine Learning Framework: A Comparative Study Lokesh Kumar Shrivastav and Ravinder Kumar 2. Cognitive Machine Learning Framework to Evaluate Competency During the Course Endorsement for Computer Science Postgraduates Shivani A. Trivedi and Rebakah Jobdas 3. Cognitive Decision Making Through an Intelligent Database Agent for Predictive Analysis Shivani A Trivedi and Rebakah Jobdas 4. A Convergence of Mining and Machine Learning: The New Angle for Educational Data Mining Guleria, Pratiyush and Sood, Manu 5. Apna dermato: Human Skin Disease Finder Using Machine Learning Tarun Methwani, Gautam Menghani, Nitin Tejuja, Hemdev Karan, and Raghani Madhu 6. Artificial Intelligence Technique for Predicting Type 2 Diabetes Ramyashree and P. S. Venugopala PART II: DESIGNING IoT-BASED SMART SOLUTIONS FOR MONITORING AND SURVILLANCE 7. Smart Interfaces for Development of Comprehensive Health Monitoring Systems Dinesh Bhatia 8. Iot Based Smart Agriculture in India Akanksha Gupta and Umang Singh 9. Cognitive Internet of Things Shubham Singh Manhas, Mitali Aahar Rajput, and Deepak Kumar Sharma PART III: STATISTICAL AND MATHEMATICAL MODEL-BASED SOLUTIONS 10. Analysis of Epidemiology: Integrating Computational Models Deepak Kumar, Vinod Kumar, and Poojakhurana PART IV: APPLYING NEURAL NETWORKS AND DEEP LEARNING MODELS FOR COGNITIVE PROBLEMS 11. Recent Issues with Machine Vision Applications for Deep Network Architectures Naresh Kumar 12. Applications of Back Propagation and Conjugate Gradient Neural Networks in Structural Engineering S. Varadharajan, Kirthanashri S. Vasanthan, Shwetambra Verma, and Priyanka Singh 13. Application of Neural Networks in Construction Management S. Varadharajan, Kirthanashri S. Vasanthan, Shwetambra Verma, and Priyanka Singh PART V: SPEECH AND NLP APPLICATIONS IN COGNITION 14. Speech Recognition Fundamentals and Features Gurpreet Kaur, Mohit Srivastava, and Amod Kumar 15. Natural Language Processing V. Vishnuprabha, Lino Murali, and Daleesha M. Viswanathan Index
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