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Pranab Kumar Dhar
Affiliation
Department of Computer Science and Engineering, Chittagong University of Engineering & Technology (CUET), Chattogram, Bangladesh
Topic
Convolutional Neural Network,Deep Learning,Deep Learning Models,Input Image,Learning Rate,Neural Network,Convolutional Layers,Feature Maps,Generative Adversarial Networks,Histopathological Images,Image Classification,Inference Time,Matthews Correlation Coefficient,Training Data,Activation Function,Advanced Data,Attention Block,Attention Mechanism,Attention Module,Benchmark Datasets,Benign Nodules,Big Data,Big Data Analytics,Big Data Applications,Big Data Processing,Big Data Techniques,Big Data Technology,Big Gap,Body Parts,Bottom-up Approach,Bounding Box,Breast Cancer,Breast Cancer Histopathological Images,Cancer Types,Classification Of Breast Cancer,Clean Data,Cluster Map,Colon Cancer,Confidence Map,Convolutional Network,Convolutional Neural Network Architecture,Convolutional Neural Network Model,Data Augmentation,Data Mining,Data Mining Algorithms,Data Privacy,Data Processing,Data Storage,Deep Convolutional Neural Network,Deep Neural Network,
Biography
Pranab Kumar Dhar received the B.Sc. degree from the Chittagong University of Engineering and Technology (CUET), Chattogram, Bangladesh, in 2004, the M.Sc. degree from the University of Ulsan, Republic of Korea, in 2010, and the Ph.D. degree from Saitama University, Japan, in 2014. In 2005, he joined as a Lecturer at the Department of Computer Science and Engineering, CUET, where he is currently serving as a Professor. He has published over 30 refereed journal articles and 40 conference papers. He is the author of two books, one book chapter, and one patent. His research interests include multimedia security, digital watermarking, steganography, multimedia data compression, sound synthesis, digital image processing, and digital signal processing. He is a member of the technical committee of several international conferences. He serves as a Reviewer for various reputed journals, including IEEE, IEICE, Elsevier, and Springer.