Cognitive Computing Systems

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.

• PrefacePART I: USING ASSISTIVE LEARNING TO SOLVE COMPUTATIONALLY INTENSE PROBLEMS1. High-Frequency Stochastic Data Analysis Using a Machine Learning Framework: A Comparative StudyLokesh Kumar Shrivastav and Ravinder Kumar2. Cognitive Machine Learning Framework to Evaluate Competency During the Course Endorsement for Computer Science PostgraduatesShivani A. Trivedi and Rebakah Jobdas3. Cognitive Decision Making Through an Intelligent Database Agent for Predictive AnalysisShivani A Trivedi and Rebakah Jobdas4. A Convergence of Mining and Machine Learning: The New Angle for Educational Data MiningGuleria, Pratiyush and Sood, Manu 5. Apna dermato: Human Skin Disease Finder Using Machine LearningTarun Methwani, Gautam Menghani, Nitin Tejuja, Hemdev Karan, and Raghani Madhu6. Artificial Intelligence Technique for Predicting Type 2 DiabetesRamyashree and P. S. VenugopalaPART II: DESIGNING IoT-BASED SMART SOLUTIONS FOR MONITORING AND SURVILLANCE7. Smart Interfaces for Development of Comprehensive Health Monitoring SystemsDinesh Bhatia8. Iot Based Smart Agriculture in IndiaAkanksha Gupta and Umang Singh9. Cognitive Internet of ThingsShubham Singh Manhas, Mitali Aahar Rajput, and Deepak Kumar SharmaPART III: STATISTICAL AND MATHEMATICAL MODEL-BASED SOLUTIONS10. Analysis of Epidemiology: Integrating Computational ModelsDeepak Kumar, Vinod Kumar, and PoojakhuranaPART IV: APPLYING NEURAL NETWORKS AND DEEP LEARNING MODELS FOR COGNITIVE PROBLEMS11. Recent Issues with Machine Vision Applications for Deep Network ArchitecturesNaresh Kumar12. Applications of Back Propagation and Conjugate Gradient Neural Networks in Structural EngineeringS. Varadharajan, Kirthanashri S. Vasanthan, Shwetambra Verma, and Priyanka Singh13. Application of Neural Networks in Construction ManagementS. Varadharajan, Kirthanashri S. Vasanthan, Shwetambra Verma, and Priyanka SinghPART V: SPEECH AND NLP APPLICATIONS IN COGNITION14. Speech Recognition Fundamentals and FeaturesGurpreet Kaur, Mohit Srivastava, and Amod Kumar15. Natural Language ProcessingV. Vishnuprabha, Lino Murali, and Daleesha M. ViswanathanIndex