Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough: Latest Trends in AI

✍ Scribed by Vinit Kumar Gunjan, Jacek M. Zurada, Balasubramanian Raman, G. R. Gangadharan

• Publisher: Springer International Publishing;Springer
• Year: 2020
• Tongue: English
• Leaves: 243
• Series: Studies in Computational Intelligence 885
• Edition: 1st ed.
• Category: Library

✦ Synopsis

This book discusses various machine learning & cognitive science approaches, presenting high-throughput research by experts in this area. Bringing together machine learning, cognitive science and other aspects of artificial intelligence to help provide a roadmap for future research on intelligent systems, the book is a valuable reference resource for students, researchers and industry practitioners wanting to keep abreast of recent developments in this dynamic, exciting and profitable research field. It is intended for postgraduate students, researchers, scholars and developers who are interested in machine learning and cognitive research, and is also suitable for senior undergraduate courses in related topics. Further, it is useful for practitioners dealing with advanced data processing, applied mathematicians, developers of software for agent-oriented systems and developers of embedded and real-time systems.

✦ Table of Contents

Front Matter ....Pages i-viii
Face Recognition Using Raspberry PI (Shruti Ambre, Mamata Masurekar, Shreya Gaikwad)....Pages 1-11
Features Extraction for Network Intrusion Detection Using Genetic Algorithm (GA) (Joydev Ghosh, Divya Kumar, Rajesh Tripathi)....Pages 13-25
Chemical Sensing Through Cogno-Monitoring System for Air Quality Evaluation (Kanakam Prathyusha, ASN Chakravarthy)....Pages 27-37
3 DOF Autonomous Control Analysis of an Quadcopter Using Artificial Neural Network (Sanket Mohanty, Ajay Misra)....Pages 39-57
Cognitive Demand Forecasting with Novel Features Using Word2Vec and Session of the Day (Rishit Dholakia, Richa Randeria, Riya Dholakia, Hunsii Ashar, Dipti Rana)....Pages 59-72
A Curvelet Transformer Based Computationally Efficient Speech Enhancement for Kalman Filter (Manju Ramrao Bhosle, K. N. Nagesh)....Pages 73-85
Dexterous Trashbot (Eshwari A. Madappa, Amogh A. Joshi, P. K. Karthik, Ekhelikar Shashank, Jawali Veeresh)....Pages 87-98
Automated Question Generation and Answer Verification Using Visual Data (Shrey Nahar, Shreya Naik, Niti Shah, Saumya Shah, Lakshmi Kurup)....Pages 99-114
Comprehensive Survey on Deep Learning Approaches in Predictive Business Process Monitoring (Nitin Harane, Sheetal Rathi)....Pages 115-128
Machine Learning Based Risk-Adaptive Access Control System to Identify Genuineness of the Requester (Kriti Srivastava, Narendra Shekokar)....Pages 129-143
An Approach to End to End Anonymity (Ayush Gupta, Ravinder Verma, Mrigendra Shishodia, Vijay Chaurasiya)....Pages 145-155
PHT and KELM Based Face Recognition (Sahil Dalal, Virendra P. Vishwakarma)....Pages 157-167
Link Failure Detection in MANET: A Survey (Manjunath B. Talawar, D. V. Ashoka)....Pages 169-182
Review of Low Power Techniques for Neural Recording Applications (P. Brundavani, D. Vishnu Vardhan)....Pages 183-201
Machine Learning Techniques for Thyroid Disease Diagnosis: A Systematic Review (Shaik Razia, P. Siva Kumar, A. Srinivasa Rao)....Pages 203-212
Heuristic Approach to Evaluate the Performance of Optimization Algorithms in VLSI Floor Planning for ASIC Design (S. Nazeer Hussain, K. Hari Kishore)....Pages 213-225
Enhancement in Teaching Quality Methodology by Predicting Attendance Using Machine Learning Technique (Ekbal Rashid, Mohd Dilshad Ansari, Vinit Kumar Gunjan, Mudassir Khan)....Pages 227-235
Improvement in Extended Object Tracking with the Vision-Based Algorithm (Ekbal Rashid, Mohd Dilshad Ansari, Vinit Kumar Gunjan, Muqeem Ahmed)....Pages 237-245

✦ Subjects

Engineering; Computational Intelligence