Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Roy Mohendra"'
Publikováno v:
Open Physics, Vol 6, Iss 1, Pp 109-115 (2008)
Externí odkaz:
https://doaj.org/article/510b6b5513374a3eb133f01b8e2d6d0e
The role of artificial intelligence (AI) in material science and engineering (MSE) is becoming increasingly important as AI technology advances. The development of high-performance computing has made it possible to test deep learning (DL) models with
Externí odkaz:
http://arxiv.org/abs/2209.11234
Publikováno v:
Copyright is with IEEE, Paper No: 832, IJCNN, 2022 IEEE World Congress on Computational Intelligence
Deepfakes are the synthesized digital media in order to create ultra-realistic fake videos to trick the spectator. Deep generative algorithms, such as, Generative Adversarial Networks(GAN) are widely used to accomplish such tasks. This approach synth
Externí odkaz:
http://arxiv.org/abs/2208.00788
Publikováno v:
copyright with IEEE, Paper No: 834, IJCNN, 2022 IEEE World Congress on Computational Intelligence
Detection of fake news is crucial to ensure the authenticity of information and maintain the news ecosystems reliability. Recently, there has been an increase in fake news content due to the recent proliferation of social media and fake content gener
Externí odkaz:
http://arxiv.org/abs/2207.13500
Autor:
Vaghashiya, Rajkumar, Shin, Sanghoon, Chauhan, Varun, Kapadiya, Kaushal, Sanghavi, Smit, Seo, Sungkyu, Roy, Mohendra
Lens-free Shadow Imaging Technique (LSIT) is a well-established technique for the characterization of microparticles and biological cells. Due to its simplicity and cost-effectiveness, various low-cost solutions have been evolved, such as automatic a
Externí odkaz:
http://arxiv.org/abs/2203.00899
Autor:
Roy, Mohendra
Publikováno v:
Materials Today Journal, Elsevier; Article reference No: MATPR29663, 2022
Many data-driven applications in material science have been made possible because of recent breakthroughs in artificial intelligence(AI). The use of AI in material engineering is becoming more viable as the number of material data such as X-Ray diffr
Externí odkaz:
http://arxiv.org/abs/2202.01916
Publikováno v:
In Healthcare Analytics June 2024 5
Publikováno v:
2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021)
Glioblastoma Multiforme is a very aggressive type of brain tumor. Due to spatial and temporal intra-tissue inhomogeneity, location and the extent of the cancer tissue, it is difficult to detect and dissect the tumor regions. In this paper, we propose
Externí odkaz:
http://arxiv.org/abs/2101.10589
In this paper, we present a low-power anomaly detection integrated circuit (ADIC) based on a one-class classifier (OCC) neural network. The ADIC achieves low-power operation through a combination of (a) careful choice of algorithm for online learning
Externí odkaz:
http://arxiv.org/abs/2008.09442
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