NUST Institutions Library Catalogue catalog › Details for: Fake News Detection, Identification and Classification Using Multimodal Approach/

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Fake News Detection, Identification and Classification Using Multimodal Approach/ Kiran Ibrahim,

TextIslamabad : SEECS, NUST, 2023Description: 71 p. ; 30 cmSubject(s): MS-Data ScienceDDC classification: 200 Online resources: Click here to access online

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Soft Copy	Central Library (CL)	Central Library (CL)	Thesis	200 (Browse shelf)	Available		CL-T-6772

Total holds: 0

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Previous	200 Identifying Human Emotions from Single Walk Step Using a Body-Mounted Inertial Sensor/	200 Design of a mac address based secure communication scheme/	200 Depression Detection from Textual Data using Deep Learning/	200 Fake News Detection, Identification and Classification Using Multimodal Approach/	200 Association between Perfectionism, Self-Compassion And Anxiety among Medical Students/	200 Translation, Adaptation and Preliminary Efficacy of the My FRIENDS Youth Program among Pakistani Adolescent Girls/	200 Stock Market Prediction using Machine Learning and VADER Sentiment Analysis of Twitter Data/	Next

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