Tejalal Choudhary - researchr alias

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Viewing Publication 1 - 6 from 6

2023

Deep learning-based important weights-only transfer learning approach for COVID-19 CT-scan classificationTejalal Choudhary, Shubham Gujar, Anurag Goswami, Vipul Mishra, Tapas Badal. apin, 53(6):7201-7215, March 2023. [doi]

2022

Heuristic-based automatic pruning of deep neural networksTejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani. nca, 34(6):4889-4903, 2022. [doi]

Inference-aware convolutional neural network pruningTejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani. fgcs, 135:44-56, 2022. [doi]

2021

A transfer learning with structured filter pruning approach for improved breast cancer classification on point-of-care devicesTejalal Choudhary, Vipul Mishra, Anurag Goswami, Jagannathan Sarangapani. cbm, 134:104432, 2021. [doi]

A Heuristic-Driven and Cost Effective Majority/ Minority Logic Synthesis for Post-CMOS Emerging TechnologyVipul Kumar Mishra, Mayank Dixit, Tejalal Choudhary, Anurag Goswami, Manjit Kaur, Omar Cheikhrouhou, Habib Hamam. access, 9:168689-168702, 2021. [doi]

2020

A comprehensive survey on model compression and accelerationTejalal Choudhary, Vipul Mishra, Anurag Goswami, Jagannathan Sarangapani. air, 53(7):5113-5155, 2020. [doi]

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