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Results for “"Mohaimenul Azam Khan Raiaan"”

16+ results

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

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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
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A systematic review of hyperparameter optimization techniques in Convolutional Neural Networks

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

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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
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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
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An Investigation of the Effectiveness of Deepfake Models and Tools

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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
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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
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A Computer-Aided Diagnostic System to Identify Diabetic Retinopathy, Utilizing a Modified Compact Convolutional Transformer and Low-Resolution Images to Reduce Computation Time

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

Journal: BiomedicinesYear: 2023Citations: 38

Diabetic retinopathy (DR) is the foremost cause of blindness in people with diabetes worldwide, and early diagnosis is essential for effective treatment. Unfortunately, the present DR screening method requires the skill of ophthalmologists and is time-consuming. In this study, we present an automate...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Mammo-Light: A lightweight convolutional neural network for diagnosing breast cancer from mammography images

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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
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IoT-Based Object-Detection System to Safeguard Endangered Animals and Bolster Agricultural Farm Security

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Mohaimenul Azam Khan Raiaan, Nur Mohammad Fahad, S. A. Chowdhury, Debopom Sutradhar et al.

Journal: Future InternetYear: 2023Citations: 30

Significant threats to ecological equilibrium and sustainable agriculture are posed by the extinction of animal species and the subsequent effects on farms. Farmers face difficult decisions, such as installing electric fences to protect their farms, although these measures can harm animals essential...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Cervical spine fracture detection utilizing YOLOv8 and deep attention-based vertebrae classification ensuring XAI

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Debopom Sutradhar, Nur Mohammad Fahad, Mohaimenul Azam Khan Raiaan, Mirjam Jonkman et al.

Journal: Biomedical Signal Processing and ControlYear: 2024Citations: 17

• Automated detection and classification of cervical spine fractures using CT scans. • Combining YOLOv8 object detection with a novel attention-based CNN (VertNet-10). • Achieved 93 % mAP for fracture detection and 99.55 % accuracy in vertebrae classification. • Class activation maps enhance the mod...

Physical SciencesEngineeringBiomedical EngineeringOpen Access
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SkinNet-8: An Efficient CNN Architecture for Classifying Skin Cancer on an Imbalanced Dataset

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Nur Mohammad Fahad, Sadman Sakib, Mohaimenul Azam Khan Raiaan, Md. Saddam Hossain Mukta

Year: 2023Citations: 17

Skin cancer is a fatal disease that has become the leading cause of death worldwide in recent years, although it is curable if diagnosed early. Early skin cancer detection significantly improves patients' chances of survival and reduces mortality. In this research, we conduct experiments on a high i...

Health SciencesMedicineOncology
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Artificial Intelligence-Driven Advancements in Otitis Media Diagnosis: A Systematic Review

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Md. Awlad Hossen Rony, Kaniz Fatema, Mohaimenul Azam Khan Raiaan, Md. Mehedi Hassan et al.

Journal: IEEE AccessYear: 2024Citations: 15

Otitis Media (OM), predominantly affecting children, is a significant global health issue, with an estimated 360 million pediatric cases yearly worldwide. OM causes mild and moderate conductive hearing loss which can be disabling for young children, particularly during the first three years of life ...

Health SciencesMedicineOtorhinolaryngologyOpen Access
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From language to action: a review of large language models as autonomous agents and tool users

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Sadia Sultana Chowa, Riasad Alvi, S M Asif Ur Rahman, Md Abdur Rahman et al.

Journal: Artificial Intelligence ReviewYear: 2026Citations: 14

The pursuit of human-level artificial intelligence (AI) has significantly advanced the development of autonomous agents and Large Language Models (LLMs). LLMs are now widely utilized as decision-making agents for their ability to interpret instructions, manage sequential tasks, and adapt through fee...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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An Automated Decision Support System to Analyze Malignancy Patterns of Breast Masses Employing Medically Relevant Features of Ultrasound Images

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Sami Azam, Sidratul Montaha, Mohaimenul Azam Khan Raiaan, A. K. M. Rakibul Haque Rafid et al.

Journal: Journal of Imaging Informatics in MedicineYear: 2024Citations: 13

An automated computer-aided approach might aid radiologists in diagnosing breast cancer at a primary stage. This study proposes a novel decision support system to classify breast tumors into benign and malignant based on clinically important features, using ultrasound images. Nine handcrafted featur...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Hallucination to truth: a review of fact-checking and factuality evaluation in large language models

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S M Asif Ur Rahman, Md. Adnanul Islam, Md. Mahbub Alam, Musarrat Zeba et al.

Journal: Artificial Intelligence ReviewYear: 2026Citations: 12

Abstract Large language models (LLMs) are trained on vast and diverse internet corpora that often include inaccurate or misleading content. Consequently, LLMs can generate misinformation, making robust fact-checking essential. This review systematically analyzes how LLM-generated content is evaluate...

Social SciencesSociology and Political ScienceMisinformation and Its ImpactsOpen Access
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