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.

Detalles Bibliográficos
Autores principales:	Ahmed, Istiak, Prima, Shanzida Binta Akram, Baptee, Tahsin Anzum, Afroz, Mehrin, Shanto, Ariful Islam
Otros Autores:	Rasel, Annajiat Alim
Formato:	Tesis
Lenguaje:	English
Publicado:	Brac University 2023
Materias:	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)
Acceso en línea:	http://hdl.handle.net/10361/21171

Ejemplares similares

A machine learning approach to detect DeepFake videos
por: Hassan, Md. Mahedi, et al.
Publicado: (2021)

Prediction of acute lymphoid leukemia using Privacy Preserving Neural Network
por: Khilji, Ishfaque Qamar, et al.
Publicado: (2021)

Silent voice: harnessing deep learning for lip-reading in Bangla
por: Shaheen, Munia, et al.
Publicado: (2024)

Leveraging sequential deep learning models for detecting multitude of human action categories
por: Pranta, Kazi Al Refat, et al.
Publicado: (2024)

Bang-lish sentiment classification using deep learning
por: Saleheen, Abrar, et al.
Publicado: (2023)

Crop prediction based on geographical and climatic data using machine learning and deep learning
por: Alif, Al Amin, et al.
Publicado: (2019)

Learning a deep neural network for predicting phishing website
por: Das, Robat, et al.
Publicado: (2019)

An efficient deep learning approach to classify white blood cells
por: Turja, Afif Ibna Kadir Khan, et al.
Publicado: (2024)

Corn leaf disease detection using deep convolution neural network
por: Rabbi, Rawhatur, et al.
Publicado: (2023)

Intracranial hemorrhage detection using CNN-LSTM fusion model
por: Ahmed, Kazi sabab, et al.
Publicado: (2022)

Using deep learning algorithms to detect violent activities
por: Ammar, S.M. Rojin, et al.
Publicado: (2019)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
por: Sakir, Adnan, et al.
Publicado: (2023)

An android application to predict human activity using a deep learning LSTM model
por: Sikder, Debabrata
Publicado: (2024)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
por: Turjo, Aquib Abtahi, et al.
Publicado: (2021)

Pothole detection using lightweight network models
por: Abdullah, S. M., et al.
Publicado: (2024)

Crowd source based traffic analysis using machine learning algorithm
por: Orthy, Marzia Khan, et al.
Publicado: (2018)

An analysis of word sense disambiguation in Bangla and English using supervised learning and a deep neural network classifier
por: Pasha, Maroof Ur Rahman
Publicado: (2016)

ROBB: recurrent proximal policy optimization reinforcement learning for optimal block formation in bitcoin blockchain network
por: Dutta, Amit
Publicado: (2024)

Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
por: Islam, Roman, et al.
Publicado: (2024)

An efficient ML approach to detect brain tumor using MRI images
por: Muktadir, MD. Arafat, et al.
Publicado: (2024)

Visual object classification from fMRI data
por: Newaz, Syed Mishar, et al.
Publicado: (2022)

Performance analysis of machine learning classi ers for detecting PE malware
por: Azmee, ABM.Adnan, et al.
Publicado: (2020)

Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance
por: Hossain, Shah Md. Shakhawath, et al.
Publicado: (2024)

Estimating flood susceptibility of Bangladesh in the future year using machine learning
por: Alim, Sakib Bin, et al.
Publicado: (2021)

Mobile sensors based human activity recognition using machine learning with explainable ML
por: Rahman, Raihan, et al.
Publicado: (2021)

Classification of retinal diseases from OCT images using deep learning models
por: Mokarrom, Md Saif, et al.
Publicado: (2024)

Demand forecasting on supply chain using ML and NN
por: Hridi, Naoshin Anzum, et al.
Publicado: (2023)

Exploring machine learning techniques for symptom-based detection of livestock diseases
por: Niloy, Mahir Ahmed, et al.
Publicado: (2024)

Detection of handwritten text using convolutional neural network
por: Jasim, Rabib Bin, et al.
Publicado: (2024)

Predicting temperature of major cities using machine learning and deep learning
por: Jaharabi, Wasiou, et al.
Publicado: (2024)

A machine learning approach to predict movie box-office success
por: Quader, Nahid, et al.
Publicado: (2018)

The influence of neuromarketing: machine learning based empirical analysis
por: Muktadir, MD. Abdullah Al, et al.
Publicado: (2024)

An efficient deep learning approach to detect skin Cancer
por: Islam, Ashfaqul, et al.
Publicado: (2022)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
por: Ferdous, Md.Rubaiat, et al.
Publicado: (2024)

Cryptocurrency price prediction using Social Media Data Mining and Epidemic Modeling
por: Safa, Bushra, et al.
Publicado: (2023)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
por: Datta, Nirjhor, et al.
Publicado: (2024)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
por: Ifty, Md. Hasin Sarwar, et al.
Publicado: (2024)

Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
por: Chakraborty, Dhruba, et al.
Publicado: (2022)

Human Activity Recognition using wearable body sensor by machine learning approach
por: Promi, Sadia Tangim, et al.
Publicado: (2020)

An efficient deep learning approach to detect skin cancer using image data
por: Chowdhury, Yaser Al Rahman, et al.
Publicado: (2023)