Machine Intelligence and Signal Analysis

Chapter 1: Detecting R-peaks in Electrocardiogram signal using Hilbert envelope.- Chapter 2: Lung Nodule Identification and Classification from Distorted CT Images for Diagnosis andDetection of Lung Cancer.- Chapter 3: Baseline wander and power-line interferenceremoval from ECG signals using Fourier decomposition method.- Chapter 4: Baseline wander and power-line interference removal from ECG signals using Fourier decomposition method.- Chapter 5: An Empirical Analysis of Instance-based Transfer Learning Approach on Protease Substrate Cleavage Sites Prediction.- Chapter 6: Comparison analysis: single and multichannel EMD based filtering with application to BCI.- Chapter 7: A 2-norm Squared Fuzzy-based Least Squares Twin Parametric-margin Support Vector Machine.- Chapter 8: Redesign of a Railway Coach for Safe and Independent Travel of Elderly.

M. Tanveer is working as Assistant Professor and Ramanujan Fellow at Discipline of Mathematics, Indian Institute of Technology Indore, India. Prior to that, he worked as Postdoctoral Research Fellow at Rolls-Royce@NTU Corporate Lab, Nanyang Technological University (NTU), Singapore. He served as Assistant Professor at Department of Computer Science and Engineering, LNM Institute of Information Technology (LNMIIT), Jaipur, India. He received his Ph.D. degree in Computer Science from the Jawaharlal Nehru University, New Delhi, India, and his M.Phil. degree in Mathematics from Aligarh Muslim University, Aligarh, India. His research interests include support vector machines, optimization, applications to Alzheimer's disease and dementias, biomedical signal processing, and fixed-point theory and applications. He has been awarded competitive research funding by various prestigious agencies such as Department of Science & Technology (DST), Council of Scientific and Industrial Research (CSIR) and Science & Engineering Research Board (SERB). He is the recipient of 2017 SERB Early Career Research Award in Engineering Sciences and the only recipient of 2016 prestigious DST-SERB Ramanujan Fellowship in Mathematical Sciences. He is a member of the editorial review board of Applied Intelligence, Springer (International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies). He has published over 24 papers in reputed international journals.

Dr. Ram Bilas Pachori received B.E. degree with honors in Electronics and Communication Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India in 2001, M.Tech. and Ph.D. degrees in Electrical Engineering from Indian Institute of Technology (IIT) Kanpur, India in 2003 and 2008 respectively. He worked as Postdoctoral Fellow at Charles Delaunay Institute, University of Technology of Troyes, France during 2007-2008. He served as Assistant Professor at Communication Research