7 citations · 15 across the 10 of their papers we have counts for
10 papers
A Robust Deep Learning Framework for Bangla License Plate Recognition Using YOLO and Vision-Language OCR
Nayeb Hasin, Md. Arafath Rahman Nishat, Mainul Islam +2
An Automatic License Plate Recognition (ALPR) system constitutes a crucial element in an intelligent traffic management system. However, the detection of Bangla license plates rema…
An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images
Asif Newaz, Asif Ur Rahman Adib, Rajit Sahil +1
Background: Arsenicosis is a serious public health concern in South and Southeast Asia, primarily caused by long-term consumption of arsenic-contaminated water. Its early cutaneous…
Toward Accessible Dermatology: Skin Lesion Classification Using Deep Learning Models on Mobile-Acquired Images
Asif Newaz, Masum Mushfiq Ishti, A Z M Ashraful Azam +1
Skin diseases are among the most prevalent health concerns worldwide, yet conventional diagnostic methods are often costly, complex, and unavailable in low-resource settings. Autom…
iCost: A Novel Instance-Complexity-Based Cost-Sensitive Learning Framework
Asif Newaz, Asif Ur Rahman Adib, Taskeed Jabid
Class imbalance poses a significant challenge in classification tasks, often causing standard learning algorithms to become biased toward the majority class. Cost-sensitive learnin…
iBRF: Improved Balanced Random Forest Classifier
Asif Newaz, Md. Salman Mohosheu, MD. Abdullah al Noman +1
Class imbalance poses a major challenge in different classification tasks, which is a frequently occurring scenario in many real-world applications. Data resampling is considered t…
A Sophisticated Framework for the Accurate Detection of Phishing Websites
Asif Newaz, Farhan Shahriyar Haq, Nadim Ahmed
Phishing is an increasingly sophisticated form of cyberattack that is inflicting huge financial damage to corporations throughout the globe while also jeopardizing individuals' pri…
An Explainable Machine Learning Framework for the Accurate Diagnosis of Ovarian Cancer
Asif Newaz, Abdullah Taharat, Md Sakibul Islam +1
Ovarian cancer (OC) is one of the most prevalent types of cancer in women. Early and accurate diagnosis is crucial for the survival of the patients. However, the majority of women…
A Hybrid Transfer Learning Assisted Decision Support System for Accurate Prediction of Alzheimer Disease
Mahin Khan Mahadi, Abdullah Abdullah, Jamal Uddin +1
Alzheimer's disease (AD) is the most common long-term illness in elderly people. In recent years, deep learning has become popular in the area of medical imaging and has had a lot…
An Empirical Analysis of the Efficacy of Different Sampling Techniques for Imbalanced Classification
Asif Newaz, Shahriar Hassan, Farhan Shahriyar Haq
Learning from imbalanced data is a challenging task. Standard classification algorithms tend to perform poorly when trained on imbalanced data. Some special strategies need to be a…
A Novel Hybrid Sampling Framework for Imbalanced Learning
Asif Newaz, Farhan Shahriyar Haq
Class imbalance is a frequently occurring scenario in classification tasks. Learning from imbalanced data poses a major challenge, which has instigated a lot of research in this ar…