Zobrazeno 1 - 10 of 14 pro vyhledávání: '"Apoorva Ojha"'
1
Akademický článek
A Computationally Efficient Compact Model for Trap-Assisted Carrier Transport Through Multi-Stack Gate Dielectrics of HKMG nMOS Transistors
Autor: Apoorva Ojha, Nihar R. Mohapatra
Publikováno v: IEEE Journal of the Electron Devices Society, Vol 6, Pp 1164-1172 (2018)
This paper analyzes in detail the carrier transport through the multi-stack gate dielectrics of high-K metal gate (HKMG) nMOS transistors under different gate biases and temperatures. The existing uncertainty about the carrier transport mechanisms fo
Externí odkaz: https://doaj.org/article/fe250f26a9c549378bbafa5ea42cc4df
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2
Akademický článek
A Channel Stress-Profile-Based Compact Model for Threshold Voltage Prediction of Uniaxial Strained HKMG nMOS Transistors
Autor: Apoorva Ojha, Yogesh S. Chauhan, Nihar R. Mohapatra
Publikováno v: IEEE Journal of the Electron Devices Society, Vol 4, Iss 2, Pp 42-49 (2016)
In this paper, a physics-based compact model for the longitudinal and transverse stress profile in the channel of an uniaxially strained bulk MOS transistor is presented. The stress in the channel of a MOS transistor is not uniform and this nonunifor
Externí odkaz: https://doaj.org/article/b9132e6a86f44c94b5284afc36208d21
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5
VDNet: Vehicle Detection Network Using Computer Vision and Deep Learning Mechanism for Intelligent Vehicle System
Autor: Apoorva Ojha, Satya Prakash Sahu, Deepak Kumar Dewangan
Publikováno v: Proceedings of Emerging Trends and Technologies on Intelligent Systems ISBN: 9789811630965
Computer vision using deep learning has revolutionized the detection system and vehicle detection is no exception to it. The importance of vehicle classification and detection is in Intelligent Vehicle and Transportation systems which require making
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a3a84ebfff3b4515f61a734a4d8df51b
https://doi.org/10.1007/978-981-16-3097-2_9
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6
Vehicle Detection through Instance Segmentation using Mask R-CNN for Intelligent Vehicle System
Autor: Deepak Kumar Dewangan, Satya Prakash Sahu, Apoorva Ojha
Publikováno v: 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS).
The recent advancement in artificial intelligence approach or deep learning techniques explored the ways to facilitate automation in various sectors. The application of deep learning with computer vision field has resulted in realization of intellige
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d31ee08a5b110e665230e19ef3b7a87d
https://doi.org/10.1109/iciccs51141.2021.9432374
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7
Prediction of Hydroxyurea Effect on Sickle Cell Anemia Patients Using Machine Learning Method
Autor: Kshirodra Kumar Bhoi, Pradeep Kumar Patra, Akalabya Bissoyi, Bikesh Kumar Singh, Apoorva Ojha
Publikováno v: Advances in Biomedical Engineering and Technology ISBN: 9789811563287
The objective of this paper is to predict the effect of hydroxyurea of individuals suffering from Sickle Cell Disease (SCD) using predictive machine learning techniques. Nowadays worldwide sickle cell disease becomes the most common inherited disease
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9ed6c877d594b028ea17e3ff1e0162f4
https://doi.org/10.1007/978-981-15-6329-4_37
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8
Tamil Character Recognition, Translation and Transliteration System
Autor: Apoorva Ojha, Priyanshu Raman, M. Prakash
Optical Character Recognition (OCR) is the machine conversion of handwritten or typed data into machine encoded scripts. English, is the informal link to all the regional languages in India and is used to publish reports, papers, magazines and record
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e21fc2d2912e121a330322a4b4547cb6
https://zenodo.org/record/5561084
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9
A Computationally Efficient Compact Model for Trap-Assisted Carrier Transport Through Multi-Stack Gate Dielectrics of HKMG nMOS Transistors
Autor: Nihar R. Mohapatra, Apoorva Ojha
Publikováno v: IEEE Journal of the Electron Devices Society, Vol 6, Pp 1164-1172 (2018)
This paper analyzes in detail the carrier transport through the multi-stack gate dielectrics of high-K metal gate (HKMG) nMOS transistors under different gate biases and temperatures. The existing uncertainty about the carrier transport mechanisms fo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b85f96ecb70cd245cc61df463aaf43f
https://doi.org/10.1109/jeds.2018.2871264
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10
Trap-assisted carrier transport through the multi-stack gate dielectrics of HKMG nMOS transistors: A compact model
Autor: Apoorva Ojha, Nihar R. Mohapatra
Publikováno v: ESSDERC
In this paper, a compact model for the gate current in HKMG nMOS transistors is presented. The carrier transport through the multi-stack gate dielectrics of HKMG MOS transistors is shown to be dominated by the Trap Assisted Tunneling and Poole-Frenke
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5fafc868bf6b6b153c3ec96805ba3454
https://doi.org/10.1109/essderc.2017.8066626
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