BORRBangladesh Open Research Repository
SearchSubmitAboutContact
BORRResearch for a Better Bangladesh.
AboutSubmit PaperContactTermsPolicyGitHub

© 2026 Bangladesh Open Research Repository.

Filters

Sort By

Sort by relevanceSort by dateSort by citations
Year Range
to

Results for “"Md. Saddam Hossain Mukta"”

16+ results

A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges

Verified

Mohaimenul Azam Khan Raiaan, Md. Saddam Hossain Mukta, Kaniz Fatema, Nur Mohammad Fahad et al.

Journal: IEEE AccessYear: 2024Citations: 673

Large Language Models (LLMs) recently demonstrated extraordinary capability, including natural language processing (NLP), language translation, text generation, question answering, etc. Moreover, LLMs are a new and essential part of computerized language processing, having the ability to understand ...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
Read Source

A systematic review of hyperparameter optimization techniques in Convolutional Neural Networks

Verified

Mohaimenul Azam Khan Raiaan, Sadman Sakib, Nur Mohammad Fahad, Abdullah Al Mamun et al.

Journal: Decision Analytics JournalYear: 2024Citations: 208

Convolutional Neural Network (CNN) is a prevalent topic in deep learning (DL) research for their architectural advantages. CNN relies heavily on hyperparameter configurations, and manually tuning these hyperparameters can be time-consuming for researchers, therefore we need efficient optimization te...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
Read Source

Challenges, Applications and Design Aspects of Federated Learning: A Survey

Verified

K. M. Jawadur Rahman, Faisal Ahmed, Nazma Akhter, Mohammad Al Hasan et al.

Journal: IEEE AccessYear: 2021Citations: 139

Federated Learning (FL) is a new technology that has been a hot research topic. It enables training an algorithm across multiple decentralized edge devices or servers holding local data samples, without exchanging them. There are many application domains where large amounts of properly labeled and c...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
Read Source

A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy Images

Verified

Mohaimenul Azam Khan Raiaan, Kaniz Fatema, Inam Ullah Khan, Sami Azam et al.

Journal: IEEE AccessYear: 2023Citations: 99

Diabetic retinopathy (DR) is a common complication of diabetes mellitus, and retinal blood vessel damage can lead to vision loss and blindness if not recognized at an early stage. Manual DR detection using large fundus image data is time-consuming and error-prone. An effective automatic DR detection...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
Read Source

A Review on Deep-Learning-Based Cyberbullying Detection

Verified

Md. Tarek Hasan, Md. Al Emran Hossain, Md. Saddam Hossain Mukta, Arifa Akter et al.

Journal: Future InternetYear: 2023Citations: 86

Bullying is described as an undesirable behavior by others that harms an individual physically, mentally, or socially. Cyberbullying is a virtual form (e.g., textual or image) of bullying or harassment, also known as online bullying. Cyberbullying detection is a pressing need in today’s world, as th...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
Read Source

Sediment delivery to sustain the Ganges-Brahmaputra delta under climate change and anthropogenic impacts

Verified

Jessica L. Raff, S. L. Goodbred, Jennifer Pickering, Ryan Sincavage et al.

Journal: Nature CommunicationsYear: 2023Citations: 75

The principal nature-based solution for offsetting relative sea-level rise in the Ganges-Brahmaputra delta is the unabated delivery, dispersal, and deposition of the rivers' ~1 billion-tonne annual sediment load. Recent hydrological transport modeling suggests that strengthening monsoon precipitatio...

Physical SciencesEnvironmental ScienceGlobal and Planetary ChangeOpen Access
Read Source

Towards sustainable AI: a comprehensive framework for Green AI

Verified

Abdulaziz Tabbakh, Al Amin, Mahbubul Islam, Golam Mahmud et al.

Journal: Discover SustainabilityYear: 2024Citations: 72

The rapid advancement of artificial intelligence (AI) has brought significant benefits across various domains, yet it has also led to increased energy consumption and environmental impact. This paper positions Green AI as a crucial direction for future research and development. It proposes a compreh...

Physical SciencesComputer ScienceComputer Networks and CommunicationsOpen Access
Read Source

A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges

Verified

Mohaimenul Azam Khan Raiaan, Md. Saddam Hossain Mukta, Kaniz Fatema, Nur Mohammad Fahad et al.

Year: 2023Citations: 56

<p>Large Language Models (LLMs) recently demonstrated extraordinary capability, including natural language processing (NLP), language translation, text generation, question answering, etc. Moreover, LLMs are a new and essential part of computerized language processing, having the ability to un...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
Read Source

An Investigation of the Effectiveness of Deepfake Models and Tools

Verified

Md. Saddam Hossain Mukta, Jubaer Ahmad, Mohaimenul Azam Khan Raiaan, Salekul Islam et al.

Journal: Journal of Sensor and Actuator NetworksYear: 2023Citations: 55

With the development of computer vision and deep learning technologies, rapidly expanding approaches have been introduced that allow anyone to create videos and pictures that are both phony and incredibly lifelike. The term deepfake methodology is used to describe such technologies. Face alteration ...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
Read Source

A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges

Verified

Mohaimenul Azam Khan Raiaan, Md. Saddam Hossain Mukta, Kaniz Fatema, Nur Mohammad Fahad et al.

Year: 2023Citations: 47

<p>Large Language Models (LLMs) recently demonstrated extraordinary capability, including natural language processing (NLP), language translation, text generation, question answering, etc. Moreover, LLMs are a new and essential part of computerized language processing, having the ability to un...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
Read Source

Mammo-Light: A lightweight convolutional neural network for diagnosing breast cancer from mammography images

Verified

Mohaimenul Azam Khan Raiaan, Nur Mohammad Fahad, Md. Saddam Hossain Mukta, Swakkhar Shatabda

Journal: Biomedical Signal Processing and ControlYear: 2024Citations: 37
Physical SciencesComputer ScienceArtificial Intelligence
Read Source

Enhancing cervical cancer diagnosis with graph convolution network: AI-powered segmentation, feature analysis, and classification for early detection

Verified

Nur Mohammad Fahad, Sami Azam, Sidratul Montaha, Md. Saddam Hossain Mukta

Journal: Multimedia Tools and ApplicationsYear: 2024Citations: 32

Abstract Cervical cancer is a prevalent disease affecting the cervix cells in women and is one of the leading causes of mortality for women globally. The Pap smear test determines the risk of cervical cancer by detecting abnormal cervix cells. Early detection and diagnosis of this cancer can effecti...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
Read Source

Identifying Insomnia From Social Media Posts: Psycholinguistic Analyses of User Tweets

Verified

Ahmed Shahriar Sakib, Md. Saddam Hossain Mukta, Fariha Rowshan Huda, A.K.M. Najmul Islam et al.

Journal: Journal of Medical Internet ResearchYear: 2021Citations: 25

BACKGROUND: Many people suffer from insomnia, a sleep disorder characterized by difficulty falling and staying asleep during the night. As social media have become a ubiquitous platform to share users' thoughts, opinions, activities, and preferences with their friends and acquaintances, the shared c...

Social SciencesPsychologySocial PsychologyOpen Access
Read Source

RoBERTa-GCN: A Novel Approach for Combating Fake News in Bangla Using Advanced Language Processing and Graph Convolutional Networks

Verified

Mejbah Ahammad, A. K. Sani, Khalilur Rahman, Md Tanvir Islam et al.

Journal: IEEE AccessYear: 2024Citations: 23

In this era of widespread information, combating fake news in less commonly represented languages like Bengali is a significant challenge. Fake news is a critical issue in Bangla, a language that a vast population uses but lacks adequate natural language processing tools. To address this, our resear...

Social SciencesSociology and Political ScienceMisinformation and Its ImpactsOpen Access
Read Source

Predicting Movie Genre Preferences from Personality and Values of Social Media Users

Verified

Md. Saddam Hossain Mukta, Euna Mehnaz Khan, Mohammed Eunus Ali, Jalal Mahmud

Journal: Proceedings of the International AAAI Conference on Web and Social MediaYear: 2017Citations: 21

We propose a novel technique to predict a user’s movie genre preference from her psycholinguistic attributes obtained from user social media interactions. In particular, we build machine learning based classification models that take user tweets as input to derive her psychological attributes: person...

Social SciencesPsychologyClinical PsychologyOpen Access
Read Source
PreviousPage 1 of 2+Next