2 citations · 8 across the 14 of their papers we have counts for
14 papers
A Comprehensive Review on Understanding the Decentralized and Collaborative Approach in Machine Learning
Sarwar Saif, Md Jahirul Islam, Md. Zihad Bin Jahangir +4
The arrival of Machine Learning (ML) completely changed how we can unlock valuable information from data. Traditional methods, where everything was stored in one place, had big pro…
Principles and Components of Federated Learning Architectures
MD Abdullah Al Nasim, Fatema Tuj Johura Soshi, Parag Biswas +4
Federated Learning (FL) is a machine learning framework where multiple clients, from mobiles to enterprises, collaboratively construct a model under the orchestration of a central…
Power Plays: Unleashing Machine Learning Magic in Smart Grids
Abdur Rashid, Parag Biswas, abdullah al masum +2
The integration of machine learning into smart grid systems represents a transformative step in enhancing the efficiency, reliability, and sustainability of modern energy networks.…
AutoML Systems For Medical Imaging
Tasmia Tahmida Jidney, Angona Biswas, MD Abdullah Al Nasim +5
The integration of machine learning in medical image analysis can greatly enhance the quality of healthcare provided by physicians. The combination of human expertise and computeri…
Case Studies on X-Ray Imaging, MRI and Nuclear Imaging
Shuvra Sarker, Angona Biswas, MD Abdullah Al Nasim +3
The field of medical imaging is an essential aspect of the medical sciences, involving various forms of radiation to capture images of the internal tissues and organs of the body.…
Introduction to Medical Imaging Informatics
Md. Zihad Bin Jahangir, Ruksat Hossain, Riadul Islam +4
Medical imaging informatics is a rapidly growing field that combines the principles of medical imaging and informatics to improve the acquisition, management, and interpretation of…
Online learning for X-ray, CT or MRI
Mosabbir Bhuiyan, MD Abdullah Al Nasim, Sarwar Saif +3
Medical imaging plays an important role in the medical sector in identifying diseases. X-ray, computed tomography (CT) scans, and magnetic resonance imaging (MRI) are a few example…
Generative Adversarial Networks for Data Augmentation
Angona Biswas, MD Abdullah Al Nasim, Al Imran +4
One way to expand the available dataset for training AI models in the medical field is through the use of Generative Adversarial Networks (GANs) for data augmentation. GANs work by…
Active Learning on Medical Image
Angona Biswas, MD Abdullah Al Nasim, Md Shahin Ali +3
The development of medical science greatly depends on the increased utilization of machine learning algorithms. By incorporating machine learning, the medical imaging field can sig…
Incongruity Detection between Bangla News Headline and Body Content through Graph Neural Network
Md Aminul Haque Palash, Akib Khan, Kawsarul Islam +2
Incongruity between news headlines and the body content is a common method of deception used to attract readers. Profitable headlines pique readers' interest and encourage them to…
The Prominence of Artificial Intelligence in COVID-19
MD Abdullah Al Nasim, Aditi Dhali, Faria Afrin +3
In December 2019, a novel virus called COVID-19 had caused an enormous number of causalities to date. The battle with the novel Coronavirus is baffling and horrifying after the Spa…
Bangla Image Caption Generation through CNN-Transformer based Encoder-Decoder Network
Md Aminul Haque Palash, MD Abdullah Al Nasim, Sourav Saha +3
Automatic Image Captioning is the never-ending effort of creating syntactically and validating the accuracy of textual descriptions of an image in natural language with context. Th…
Fine-Grained Image Generation from Bangla Text Description using Attentional Generative Adversarial Network
Md Aminul Haque Palash, Md Abdullah Al Nasim, Aditi Dhali +1
Generating fine-grained, realistic images from text has many applications in the visual and semantic realm. Considering that, we propose Bangla Attentional Generative Adversarial N…
Real-time Bangla License Plate Recognition System for Low Resource Video-based Applications
Alif Ashrafee, Akib Mohammed Khan, Mohammad Sabik Irbaz +1
Automatic License Plate Recognition systems aim to provide a solution for detecting, localizing, and recognizing license plate characters from vehicles appearing in video frames. H…