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.

Dettagli Bibliografici
Autori principali:	Ahmed, Istiak, Prima, Shanzida Binta Akram, Baptee, Tahsin Anzum, Afroz, Mehrin, Shanto, Ariful Islam
Altri autori:	Rasel, Annajiat Alim
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2023
Soggetti:	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)
Accesso online:	http://hdl.handle.net/10361/21171

Documenti analoghi

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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