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.

Bibliografiset tiedot
Päätekijät:	Ahmed, Istiak, Prima, Shanzida Binta Akram, Baptee, Tahsin Anzum, Afroz, Mehrin, Shanto, Ariful Islam
Muut tekijät:	Rasel, Annajiat Alim
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2023
Aiheet:	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)
Linkit:	http://hdl.handle.net/10361/21171

Samankaltaisia teoksia

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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