1 citations · 3 across the 8 of their papers we have counts for
8 papers
Evolving CNN Architectures: From Custom Designs to Deep Residual Models for Diverse Image Classification and Detection Tasks
Mahmudul Hasan, Mabsur Fatin Bin Hossain
This paper presents a comparative study of a custom convolutional neural network (CNN) architecture against widely used pretrained and transfer learning CNN models across five real…
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection
Mahmudul Hasan, Sadia Ruhama, Sabrina Tajnim Sithi +2
Deepfake videos, produced through advanced artificial intelligence methods now a days, pose a new challenge to the truthfulness of the digital media. As Deepfake becomes more convi…
Parkinson's Disease Freezing of Gait (FoG) Symptom Detection Using Machine Learning from Wearable Sensor Data
Mahmudul Hasan
Freezing of gait (FoG) is a special symptom found in patients with Parkinson's disease (PD). Patients who have FoG abruptly lose the capacity to walk as they normally would. Accele…
Automatic Vehicle Detection using DETR: A Transformer-Based Approach for Navigating Treacherous Roads
Istiaq Ahmed Fahad, Abdullah Ibne Hanif Arean, Nazmus Sakib Ahmed +1
Automatic Vehicle Detection (AVD) in diverse driving environments presents unique challenges due to varying lighting conditions, road types, and vehicle types. Traditional methods,…
Vision Eagle Attention: a new lens for advancing image classification
Mahmudul Hasan
In computer vision tasks, the ability to focus on relevant regions within an image is crucial for improving model performance, particularly when key features are small, subtle, or…
Ophthalmic Biomarker Detection with Parallel Prediction of Transformer and Convolutional Architecture
Md. Touhidul Islam, Md. Abtahi Majeed Chowdhury, Mahmudul Hasan +2
Ophthalmic diseases represent a significant global health issue, necessitating the use of advanced precise diagnostic tools. Optical Coherence Tomography (OCT) imagery which offers…
A Machine Learning Approach to Detect Customer Satisfaction From Multiple Tweet Parameters
Md Mahmudul Hasan, Shaikh Anowarul Fattah
Since internet technologies have advanced, one of the primary factors in company development is customer happiness. Online platforms have become prominent places for sharing review…
Faster, Lighter, More Accurate: A Deep Learning Ensemble for Content Moderation
Mohammad Hosseini, Mahmudul Hasan
To address the increasing need for efficient and accurate content moderation, we propose an efficient and lightweight deep classification ensemble structure. Our approach is based…