A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium

A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Ahmed, Istiak, Prima, Shanzida Binta Akram, Baptee, Tahsin Anzum, Afroz, Mehrin, Shanto, Ariful Islam
Άλλοι συγγραφείς:	Rasel, Annajiat Alim
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2023
Θέματα:	Conventional machine learning models Deep learning models Classic machine learning algorithms Feed-forward neural networks Recurrent Neural Networks (RNN) Machine learning Cognitive learning theory Neural networks (Computer science)
Διαθέσιμο Online:	http://hdl.handle.net/10361/21171

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Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance
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Mobile sensors based human activity recognition using machine learning with explainable ML
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Classification of retinal diseases from OCT images using deep learning models
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Detection of handwritten text using convolutional neural network
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Predicting temperature of major cities using machine learning and deep learning
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A machine learning approach to predict movie box-office success
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The influence of neuromarketing: machine learning based empirical analysis
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An efficient deep learning approach to detect skin Cancer
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Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
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Cryptocurrency price prediction using Social Media Data Mining and Epidemic Modeling
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Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
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Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
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