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- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
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- English for Technical Professionals
Pradeep Kumar Das
Also published under:
Affiliation
School of Electronics Engineering, Vellore Institute of Technology, Vellore, India
Topic
Deep Learning,Convolutional Neural Network,F1 Score,Acute Myeloid Leukemia,Computational Efficiency,Convolutional Layers,Deblurring,Edge Enhancement,Skip Connections,Acute Leukemia,Deep Convolutional Neural Network,Deep Learning Models,Deep Semantic Segmentation,Excellent Performance,Glioblastoma Multiforme,Intersection Over Union,Learning Algorithms,MRI Images,Machine Learning,Mathematical Model,Quantitative Performance,Residual Learning,Segmentation Accuracy,Segmentation Performance,Semantic Segmentation,Sickle Cell Disease,Transfer Learning,Active Contour Model,Acute Lymphoblastic Leukemia,Acute Model,Adam Optimizer,Adaptive Optimization,Advances In Deep Learning,Amazonia,American Society Of Hematology,Anchor Boxes,Aspect Ratio,Atrous Convolution,Background Pixels,Base Classifiers,Basic Reproduction Number,Blood Cell Segmentation,Blood Cells,Bone Marrow,Boundary Detection,Bounding Box,Brain Cancer,Brain Tumor Detection,Cancer Cells,Cascade Model,
Biography
Pradeep Kumar Das (Graduate Student Member, IEEE) received the B.Tech. degree in electronics and telecommunication engineering from the Biju Patnaik University of Technology (BPUT), Odisha, India, in 2013, and the M.Tech. degree in electronics and telecommunication engineering from the Veer Surendra Sai Unversity of Technology (VSSUT), Burla, India, in 2017. He is currently pursuing the Ph.D. degree in electronics and communication engineering with the National Institute of Technology Rourkela (NIT Rourkela). His research interests include computer vision, medical image processing, machine learning, deep learning, and signal processing. He has published several Elsevier and IEEE journals IEEE Transactions. He is an Active Reviewer in several IEEE journals and IEEE Transactions, such as IEEE Transactions on Cybernetics, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Emerging Topics in Computational Intelligence, and IEEE Access.