Machine Learning for Intelligent Multimedia Analytics

Chapter 1. Secure Multimodal Access with 2D and 3D Ears.- Chapter 2. Efficient and Low Overhead Detection of Brain Diseases using Deep Learning based Sparse MRI Image Classification.- Chapter 3. Continual Deep Learning Framework for Medical Media Screening and Archival.- Chapter 4. KannadaRes-NeXt: a Deep Residual Network for Kannada Numeral Recognition.- Chapter 5. Secure Image Transmission in Wireless Network using Conventional Neural Network and DOST.- Chapter 6. Robust General Twin Support Vector Machine with Pinball Loss Function.- Chapter 7. Noise Resilient Thresholding based on Fuzzy Logic and Non-linear Filtering.- Chapter 8. Deep Learning Methods for Audio Events Detection.- Chapter 9. A Framework for Multi-lingual Scene Text Detection using K-means++ and Memetic Algorithms.- Chapter 10. Recent Advancements in Medical Imaging: A Machine Learning Approach.- Chapter 11. Solving Image Processing Critical Problems using Machine Learning.- Chapter 12. Spoken Language Identificationof Indian Languages using MFCC Features.- Chapter 13. Performance Evaluation of One-Class Classifiers (OCC) for Damage Detection in Structural Health Monitoring.- Chapter 14. Brain Tumor Classification in MRI Images using Transfer Learning.- Chapter 15. Semantic based Vectorization Technique for Hindi Language.

Dr. Pardeep Kumar is currently working as an Associate Professor in the Department of Computer Science & Engineering and Information Technology at Jaypee University of Information Technology (JUIT), Wakanaghat, Solan, Himachal Pradesh, India. He has been associated with his current employer since 2008. Prior to joining Jaypee Group, he was associated with Mody University of Technology & Science (Formerly known as Mody Institute of Technology & Science) Laxmangarh, Sikar, Rajasthan. He has completed PhD (Computer Science and Engineering) from Uttarakhand Technical University, Dehradun, India, M.Tech (Computer Science & Engineering) from Guru Jambheshwar University of Science & Technology, Hisar, Haryana, India and B.Tech (Information Technology) from Kurukshetra University, Kurukshetra, Haryana, India. He has served as Executive General Chair of 2016 Fourth International Conference on Parallel, Distributed and Grid Computing (PDGC), Guest Editor of Special Issue on "Robust andSecure Data Hiding Techniques for Telemedicine Applications", Multimedia Tools and Applications: An International Journal, Springer (SCI Indexed Journal, IF= 1.346), Lead Guest Editor of Special Issue on "Recent Developments in Parallel, Distributed and Grid Computing for Big Data", published in the International Journal of Grid and Utility Computing, Inderscience (Scopus Indexed), and Guest Editor of Special Issue on "Advanced Techniques in Multimedia Watermarking", published in the International Journal of Information and Computer Security, Inderscience (Scopus Indexed). Dr. Kumar has been appointed as an Associate Editor of IEEE Access (SCI Indexed, IF = 3.5) Journal. His area of interests includes machine learning, medical image mining, image processing, health care informatics, etc.



Dr. Amit Kumar Singh is currently an Assistant Professor with the Computer Science and Engineering Department, National Institute of Technology Patna,