16 citations · 34 across the 23 of their papers we have counts for
23 papers
AAMBERS-UAV: Acquisition-Aware Multimodal Backbone Evaluation and Ranking for UAV Weedy Rice Segmentation
Tarek Rahman, Nazim-E-Alam, Md Kishor Morol +1
UAV image collections contain spatially and temporally related frames, yet semantic-segmentation benchmarks commonly split them at image level. Such splitting can place samples fro…
IchthyoNoma: Nomenclature and Context Sensitivity of Zero-Shot Biological Vision--Language Models for Bangladeshi Freshwater Fish Recognition
Nazim-E-Alam, Tarek Rahman, Md Kishor Morol
Zero-shot vision-language models (VLMs) are increasingly used as training-free species recognizers, but reported accuracy can reflect more than visual species knowledge. We audit C…
Beyond Accuracy: Quantifying Pulmonary Attribution in Anatomy-Guided Chest X-Ray Classification Under Domain Shift
Abdullah Al Mamun, Md. Nasif Osman Khansur, Md Ashraful Hossen Akash +2
Deep-learning models can achieve strong chest X-ray (CXR) classification performance without establishing whether their predictions predominantly rely on pulmonary image content. T…
TRIAGE: Risk-Controlled Pseudo-Label Admission for Annotation-Efficient Semi-Supervised Retinal OCT Classification
Md Ashraful Hossen Akash, Shyla Afroge, Abdullah Al Mamun +2
The advanced retinal disease diagnosing imaging modality, optical coherence tomography (OCT), encounters a lack of automation because of the high expenses for annotations performed…
VLAgeBench: Benchmarking Large Vision-Language Models for Zero-Shot Human Age Estimation
Rakib Hossain Sajib, Md Kishor Morol, Rajan Das Gupta +2
Human age estimation from facial images represents a challenging computer vision task with significant applications in biometrics, healthcare, and human-computer interaction. While…
An Explainable Ensemble Learning Framework for Crop Classification with Optimized Feature Pyramids and Deep Networks
Syed Rayhan Masud, SK Muktadir Hossain, Md. Ridoy Sarkar +3
Agriculture is increasingly challenged by climate change, soil degradation, and resource depletion, and hence requires advanced data-driven crop classification and recommendation s…
Predictive Analytics for Dementia: Machine Learning on Healthcare Data
Shafiul Ajam Opee, Nafiz Fahad, Anik Sen +4
Dementia is a complex syndrome impacting cognitive and emotional functions, with Alzheimer's disease being the most common form. This study focuses on enhancing dementia prediction…
BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and Monitoring
Rajan Das Gupta, Md Kishor Morol, Nafiz Fahad +3
As the global burden of Alzheimer's disease (AD) continues to grow, early and accurate detection has become increasingly critical, especially in regions with limited access to adva…
Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems?
Md Tanzib Hosain, Md Kishor Morol
Among the hardest tasks for humans are those found in competitive programming where problems require sophisticated algorithmic thinking, puzzle solving, and the creation of effecti…
Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team
Md Tanzib Hosain, Salman Rahman, Md Kishor Morol +1
Despite impressive progress on complex reasoning, current large language models (LLMs) typically operate in isolation - treating each problem as an independent attempt, without acc…
Outcome-Based Education: Evaluating Students' Perspectives Using Transformer
Shuvra Smaran Das, Anirban Saha Anik, Md Kishor Morol +1
Outcome-Based Education (OBE) emphasizes the development of specific competencies through student-centered learning. In this study, we reviewed the importance of OBE and implemente…
Small Language Models: Architectures, Techniques, Evaluation, Problems and Future Adaptation
Tanjil Hasan Sakib, Md. Tanzib Hosain, Md. Kishor Morol
Small Language Models (SLMs) have gained substantial attention due to their ability to execute diverse language tasks successfully while using fewer computer resources. These model…
Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models
Md. Tanzib Hosain, Rajan Das Gupta, Md. Kishor Morol
In this work, we provide DZEN, a dataset of parallel Dzongkha and English test questions for Bhutanese middle and high school students. The over 5K questions in our collection span…
MIC: Medical Image Classification Using Chest X-ray (COVID-19 and Pneumonia) Dataset with the Help of CNN and Customized CNN
Nafiz Fahad, Fariha Jahan, Md Kishor Morol +2
The COVID19 pandemic has had a detrimental impact on the health and welfare of the worlds population. An important strategy in the fight against COVID19 is the effective screening…
ConvoWaste: An Automatic Waste Segregation Machine Using Deep Learning
Md. Shahariar Nafiz, Shuvra Smaran Das, Md. Kishor Morol +2
Nowadays, proper urban waste management is one of the biggest concerns for maintaining a green and clean environment. An automatic waste segregation system can be a viable solution…
convoHER2: A Deep Neural Network for Multi-Stage Classification of HER2 Breast Cancer
M. F. Mridha, Md. Kishor Morol, Md. Asraf Ali +1
Generally, human epidermal growth factor 2 (HER2) breast cancer is more aggressive than other kinds of breast cancer. Currently, HER2 breast cancer is detected using expensive medi…
A Systematic Review on Interactive Virtual Reality Laboratory
Fozlur Rahman, Marium Sana Mim, Feekra Baset Baishakhi +2
Virtual Reality has become a significant element of education throughout the years. To understand the quality and advantages of these techniques, it is important to understand how…
A comparative analysis of Graph Neural Networks and commonly used machine learning algorithms on fake news detection
Fahim Belal Mahmud, Mahi Md. Sadek Rayhan, Mahdi Hasan Shuvo +2
Fake news on social media is increasingly regarded as one of the most concerning issues. Low cost, simple accessibility via social platforms, and a plethora of low-budget online ne…
A Deep Learning Framework to Reconstruct Face under Mask
Gourango Modak, Shuvra Smaran Das, Md. Ajharul Islam Miraj +1
While deep learning-based image reconstruction methods have shown significant success in removing objects from pictures, they have yet to achieve acceptable results for attributing…
A Real-time Junk Food Recognition System based on Machine Learning
Sirajum Munira Shifat, Takitazwar Parthib, Sabikunnahar Talukder Pyaasa +3
As a result of bad eating habits, humanity may be destroyed. People are constantly on the lookout for tasty foods, with junk foods being the most common source. As a consequence…
Approaches for Improving the Performance of Fake News Detection in Bangla: Imbalance Handling and Model Stacking
Md Muzakker Hossain, Zahin Awosaf, Md. Salman Hossan Prottoy +2
Imbalanced datasets can lead to biasedness into the detection of fake news. In this work, we present several strategies for resolving the imbalance issue for fake news detection in…
Food Recipe Recommendation Based on Ingredients Detection Using Deep Learning
Md. Shafaat Jamil Rokon, Md Kishor Morol, Ishra Binte Hasan +2
Food is essential for human survival, and people always try to taste different types of delicious recipes. Frequently, people choose food ingredients without even knowing their nam…
Image to Bengali Caption Generation Using Deep CNN and Bidirectional Gated Recurrent Unit
Al Momin Faruk, Hasan Al Faraby, Md. Muzahidul Azad +2
There is very little notable research on generating descriptions of the Bengali language. About 243 million people speak in Bengali, and it is the 7th most spoken language on the p…