2 citations · 2 across the 12 of their papers we have counts for
13 papers
From Knowledge to Legitimacy: A Philosophical Problem Discovery of AI Implementation Readiness in Public Health Disease Surveillance
Tithi Mitra, Souvik Pramanik, Most. Aysha Siddika Sumona +3
Despite being an emerging credible means of using artificial intelligence (AI) for improving disease surveillance via early detection of outbreaks, epidemics prediction and evidenc…
GAN-Diff : Coupling Pretrained WGAN-GP Features with Conditional Diffusion U-Nets
Saif Ahmed, Asadullah Hil Galib, S. M. Riaz Rahman Antu +5
Generative adversarial networks (GANs) can provide efficient image generation, while diffusion models offer high-quality image restoration but require iterative sampling. This pape…
An Improved Generative Adversarial Network for Micro-Resistivity Imaging Logging Restoration
Ahmed Faizul Haque, S. M. Riaz Rahman Antu, Saif Ahmed +5
An improved GAN-based imaging logging image restoration method is presented in this paper for solving the problem of partially missing micro-resistivity imaging logging images. The…
Enhancing BiGRU with a KAN Block for Legal Document Classification and Summarization
Ahmed Faizul Haque Dhrubo, Souvik Pramanik, Most. Aysha Siddika Sumona +4
This study introduces a novel architecture of KAN-based BiGRU model for the task of classification and summarization of legal documents in a low-resource multilingual setup. In ord…
STM32-Based Smart Waste Bin for Hygienic Disposal Using Embedded Sensing and Automated Control
Mohammed Aman Bhuiyan, Aritra Islam Saswato, Md. Misbah Khan +3
The increasing demand for hygienic and contactless solutions in public and private environments has encouraged the development of automated systems for everyday applications. This…
Fine-tuned Transformer Models for Breast Cancer Detection and Classification
Showkat Osman, Md. Tajwar Munim Turzo, Maher Ali Rusho +6
Breast cancer is still the second top cause of cancer deaths worldwide and this emphasizes the importance of necessary steps for early detection. Traditional diagnostic methods, su…
Intelligent Systems in Neuroimaging: Pioneering AI Techniques for Brain Tumor Detection
Md. Mohaiminul Islam, Md. Mofazzal Hossen, Maher Ali Rusho +6
This study deliberates on the application of advanced AI techniques for brain tumor classification through MRI, wherein the training includes the present best deep learning models…
Deep Learning-Driven Multimodal Detection and Movement Analysis of Objects in Culinary
Tahoshin Alam Ishat, Mohammad Abdul Qayum
This is a research exploring existing models and fine tuning them to combine a YOLOv8 segmentation model, a LSTM model trained on hand point motion sequence and a ASR (whisper-base…
Dynamic Sensitivity Filter Pruning using Multi-Agent Reinforcement Learning For DCNN's
Iftekhar Haider Chowdhury, Zaed Ikbal Syed, Ahmed Faizul Haque Dhrubo +1
Deep Convolutional Neural Networks have achieved state of the art performance across various computer vision tasks, however their practical deployment is limited by computational a…
Low-Cost Fuel Dispenser Prototype Using STM32 and an H-bridge motor driver
MD Zobaer Hossain Bhuiyan, Abir Bin Faruque, Mahtab Newaz +1
This paper presents the design and development of a low-cost fuel dispensing system prototype based on the STM32 microcontroller and L298N motor driver. The system aims to provide…
A Portable and Cost-Effective System for Real-Time Air Quality Monitoring and Environmental Impact Assessment
S M Minhazur Rahman, Md. Amrin Ibna Hasnath, Rifatul Islam +2
Air pollution remains a major global issue that seriously impacts public health, environmental quality, and ultimately human health. To help monitor problem, we have created and co…
STM32-Based IoT Framework for Real-Time Environmental Monitoring and Wireless Node Synchronization
Ahmed Faizul Haque Dhrubo, Mohammad Abdul Qayum
The fast pace of technological growth has created a heightened need for intelligent, autonomous monitoring systems in a variety of fields, especially in environmental applications.…
DyAdHyTM: A Low Overhead Dynamically Adaptive Hybrid Transactional Memory on Big Data Graphs
Mohammad Qayum, Abdel-Hameed Badawy, Jeanine Cook
Big data is a buzzword used to describe massive volumes of data that provides opportunities of exploring new insights through data analytics. However, big data is mostly structured…