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Open access Sep 2026

Computational modeling of catastrophic fault classification in Digital to Analog Converters using machine learning

A large part of the cost of producing Digital to Analog Converters (DACs) is related to testing, due to factors such as long time taken for analog fault diagnosis, increased testing time and expensive equipment being required for testing. Therefore, using Machine Learning (ML) based fault classification offers a promis...

V. Govindaraj, M. Sheela, M. Muthuraja et al. · 0 citations
Open access Aug 2026

An NLP-Based Framework for Fake News Detection Using Contextual and Engineered Features in Communication Technologies

Fake news detection focuses on identifying and preventing the spread of misleading or false information. It is crucial for maintaining the integrity of public discourse and protecting individuals from the harmful effects of misinformation. By ensuring the correctness and reliability of the information, the fake news de...

S. Gopalakrishnan, J. Thangamalar, M. Sheela et al. · 0 citations

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