Výsledky vyhledávání - "Raghavendra S Bhat"

Explaining rotated linkages between monetary policy and long-term interest rates

Autor: Abhishek Rohit, Raghavendra S. Bhat

Publikováno v: Applied Economics. 55:2835-2846

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f7a4b4a372c384cd39ba7deea63490f5
https://doi.org/10.1080/00036846.2022.2107164

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India Industry-University Collaboration - A Novel Approach Combining Technology, Innovation, and Entrepreneurship

Autor: Sathya Prasad, Raghavendra S Bhat

Publikováno v: EDUCON

Research in fast-evolving technologies like AI & ML requires the collaborative effort of various stakeholders including industries and universities. In developed economies, industry-university collaboration (IUC) is mature and delivers benefits to bo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8d1d13b4129a5c993ad88e6ecfcc24a1
https://doi.org/10.1109/educon46332.2021.9454090

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Brain Tumor Segmentation and Survival Prediction Using Automatic Hard Mining in 3D CNN Architecture

Autor: Raghavendra S Bhat, Avinash Kori, Pranav Aurangabadkar, Ganapathy Krishnamurthi, Mahendra Khened, Sanjeev Grampurohit, Vikas Kumar Anand

Publikováno v: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783030720865
BrainLes@MICCAI (2)

We utilize 3-D fully convolutional neural networks (CNN) to segment gliomas and its constituents from multimodal Magnetic Resonance Images (MRI). The architecture uses dense connectivity patterns to reduce the number of weights and residual connectio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9fdcd9302bbc5ceda998c633b6900264
https://doi.org/10.1007/978-3-030-72087-2_27

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NTP: A Neural Net Topology Profiler

Autor: Raghavendra S Bhat, Pravin Chandran, Viswanath Dibbur, Juby Jose, Prakash Sirra Ajith

Publikováno v: Benchmarking, Measuring, and Optimizing ISBN: 9783030495558
Bench

Performance of end-to-end neural networks on a given hardware platform is a function of its compute and memory signature, which in-turn, is governed by a wide range of parameters such as topology size, primitives used, framework used, batching strate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bee7d18c352b6592e0b8eb3ba607d837
https://doi.org/10.1007/978-3-030-49556-5_28

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