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Improved detection of bangla fake news using contextual embeddings from BERT and MuRIL by Chandreyee Purkayastha

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Material type: Text

TextLanguage: English Publication details: Silchar 2025Description: x, 40p. ill., 30cm with CDSubject(s):

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Dissertation note: M.Tech. (CSE) 2025 National Institute of Technology, Silchar

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Dissertation	National Institute of Technology, Silchar Central Library@NITS	004 PUR (Browse shelf(Opens below))	Available		D2391

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	004 POT DB-GPT Design and develop a chat-bot for SQL query generation	004 PRE Predictive communication modeling for synchronization using machine learning	004 PUR Placement Solutions for Heterogeneous FPGA Architecture	004 PUR Improved detection of bangla fake news using contextual embeddings from BERT and MuRIL	004 RAI Confidential data security using homomorphic encryption	004 RAJ Study on deep learning approaches for fake news detection in low-resourced dravidian languages	004 RAJ Enhancing real-time speech recognition with visual speech recognition (VSR)	Next

Supervision of Dr. Badal Soni

M.Tech. (CSE) 2025 National Institute of Technology, Silchar

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