Zobrazeno 1 - 10
of 131
pro vyhledávání: '"Biresh Kumar"'
Autor:
Anurag Sinha, Dev Narula, Saroj Kumar Pandey, Ankit Kumar, Md. Mehedi Hassan, Pooja Jha, Biresh Kumar, Manish Kumar Tiwari
Publikováno v:
Health Science Reports, Vol 7, Iss 1, Pp n/a-n/a (2024)
Abstract Background and Aims Diabetes patients are at high risk for cardiovascular disease (CVD), which makes early identification and prompt management essential. To diagnose CVD in diabetic patients, this work attempts to provide a feature‐fusion
Externí odkaz:
https://doaj.org/article/7c7d2c2cb141436f80960f007115d193
Autor:
Biresh Kumar, Sharmistha Roy, Kamred Udham Singh, Saroj Kumar Pandey, Ankit Kumar, Anurag Sinha, Shubham Shukla, Mohd Asif Shah, Adil Rasool
Publikováno v:
IEEE Access, Vol 11, Pp 40488-40510 (2023)
Measurement of e-commerce usability based on static quantities variable is state-of-the-art because of the adoption of sequential tracing of the next phase in the categorical data. The global COVID-19 outbreak has completely disrupted society and dra
Externí odkaz:
https://doaj.org/article/2fc9c934db1d4717b6bd5761bb693ef2
Autor:
Anurag Sinha, Turki Aljrees, Saroj Kumar Pandey, Ankit Kumar, Pallab Banerjee, Biresh Kumar, Kamred Udham Singh, Teekam Singh, Pooja Jha
Publikováno v:
Sensors, Vol 24, Iss 1, p 18 (2023)
Wireless sensor networks (WSNs) have emerged as a promising technology in healthcare, enabling continuous patient monitoring and early disease detection. This study introduces an innovative approach to WSN data collection tailored for disease detecti
Externí odkaz:
https://doaj.org/article/956fcb436aa94dc88c3c928d52dbff37
Publikováno v:
Mathematics, Vol 11, Iss 1, p 25 (2022)
The overall effectiveness of a website as an e-commerce platform is influenced by how usable it is. This study aimed to find out if advanced web metrics, derived from Google Analytics software, could be used to evaluate the overall usability of e-com
Externí odkaz:
https://doaj.org/article/0e86fcc10e75479a9884e0fa28a3cc67
Autor:
Dhingra, Pratyush, Ogbogu, Chukwufumnanya, Joardar, Biresh Kumar, Doppa, Janardhan Rao, Kalyanaraman, Ananth, Pande, Partha Pratim
Resistive random-access memory (ReRAM)-based processing-in-memory (PIM) architecture is an attractive solution for training Graph Neural Networks (GNNs) on edge platforms. However, the immature fabrication process and limited write endurance of ReRAM
Externí odkaz:
http://arxiv.org/abs/2401.10522
Publikováno v:
E-Journal of Chemistry, Vol 8, Iss 2, Pp 665-670 (2011)
Application of solid support, solvent free reaction condition and a dynamic microwave power system in the chemical synthesis of some novel 1, 3-diaryl-propenones has been described. A series of chalcones (3a-h) were synthesized by the condensation of
Externí odkaz:
https://doaj.org/article/aa648e1e1c514d0dadbbbae0c7bcfed4
Autor:
Joardar, Biresh Kumar, Doppa, Janardhan Rao, Li, Hai, Chakrabarty, Krishnendu, Pande, Partha Pratim
Training machine learning (ML) models at the edge (on-chip training on end user devices) can address many pressing challenges including data privacy/security, increase the accessibility of ML applications to different parts of the world by reducing t
Externí odkaz:
http://arxiv.org/abs/2111.09272
Autor:
Yang, Xiaoxuan, Belakaria, Syrine, Joardar, Biresh Kumar, Yang, Huanrui, Doppa, Janardhan Rao, Pande, Partha Pratim, Chakrabarty, Krishnendu, Li, Hai
Resistive random-access memory (ReRAM) is a promising technology for designing hardware accelerators for deep neural network (DNN) inferencing. However, stochastic noise in ReRAM crossbars can degrade the DNN inferencing accuracy. We propose the desi
Externí odkaz:
http://arxiv.org/abs/2109.05437
Autor:
Arka, Aqeeb Iqbal, Joardar, Biresh Kumar, Doppa, Janardhan Rao, Pande, Partha Pratim, Chakrabarty, Krishnendu
Graph Neural Network (GNN) is a variant of Deep Neural Networks (DNNs) operating on graphs. However, GNNs are more complex compared to traditional DNNs as they simultaneously exhibit features of both DNN and graph applications. As a result, architect
Externí odkaz:
http://arxiv.org/abs/2102.07959
Autor:
Arka, Aqeeb Iqbal, Joardar, Biresh Kumar, Kim, Ryan Gary, Kim, Dae Hyun, Doppa, Janardhan Rao, Pande, Partha Pratim
Heterogeneous manycore architectures are the key to efficiently execute compute- and data-intensive applications. Through silicon via (TSV)-based 3D manycore system is a promising solution in this direction as it enables integration of disparate comp
Externí odkaz:
http://arxiv.org/abs/2012.00102