M. Sohel Rahman
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View article: Toward a Bangla Retrieval Augmented Generation Framework for Public Health: Design and Preliminary Evaluation
Toward a Bangla Retrieval Augmented Generation Framework for Public Health: Design and Preliminary Evaluation Open
This report describes the initial design and evaluation of a retrieval-augmented generation (RAG) framework for the Bangla language, with an emphasis on public-health communication and education. The objective is to support accurate, conte…
View article: Improving MSA Estimation through Adaptive Weight Vectors in MOEA/D
Improving MSA Estimation through Adaptive Weight Vectors in MOEA/D Open
Accurate phylogenetic inference from biological sequences depends critically on the quality of multiple sequence alignments, yet optimal alignment for many sequences is computationally intractable and sensitive to scoring choices. In this …
View article: GraphAge: Unleashing the power of graph neural network to decode epigenetic aging
GraphAge: Unleashing the power of graph neural network to decode epigenetic aging Open
DNA methylation is a crucial epigenetic marker used in various clocks to predict epigenetic age. However, many existing clocks fail to account for crucial information about CpG sites and their interrelationships, such as co-methylation pat…
View article: ORANGE: A Machine Learning Approach for Modeling Tissue-Specific Aging from Transcriptomic Data
ORANGE: A Machine Learning Approach for Modeling Tissue-Specific Aging from Transcriptomic Data Open
Despite aging being a fundamental biological process which profoundly influences health and disease, the interplay between tissue-specific aging and mortality remains underexplored. This study applies machine learning on GTEx transcriptomi…
View article: CRISMER: A transformer-based Interpretable Deep Learning Approach for Genome-wide CRISPR Cas-9 Off-Target Prediction and Optimization
CRISMER: A transformer-based Interpretable Deep Learning Approach for Genome-wide CRISPR Cas-9 Off-Target Prediction and Optimization Open
CRISPR–Cas9 gene editing holds transformative promise for genetic therapies, but is hindered by off-target effects that undermine its precision and safety. To address this, we developed CRISMER, a hybrid deep-learning architecture that use…
View article: GroundHog: Revolutionizing GLDAS Groundwater Storage Downscaling for Enhanced Recharge Estimation in Bangladesh
GroundHog: Revolutionizing GLDAS Groundwater Storage Downscaling for Enhanced Recharge Estimation in Bangladesh Open
Long-term groundwater level (GWL) measurement is vital for effective policymaking and recharge estimation using annual maxima and minima. However, current methods prioritize short-term predictions and lack multi-year applicability, limitin…
View article: ConVerSum: A Contrastive Learning-Based Approach for Data-Scarce Solution of Cross-Lingual Summarization Beyond Direct Equivalents
ConVerSum: A Contrastive Learning-Based Approach for Data-Scarce Solution of Cross-Lingual Summarization Beyond Direct Equivalents Open
Cross-lingual summarization (CLS) is a sophisticated branch in Natural Language Processing that demands models to accurately translate and summarize articles from different source languages. Despite the improvement of the subsequent studie…
View article: A light-weight model to generate NDWI from Sentinel-1
A light-weight model to generate NDWI from Sentinel-1 Open
The use of Sentinel-2 images to compute Normalized Difference Water Index (NDWI) has many applications, including water body area detection. However, cloud cover poses significant challenges in this regard, which hampers the effectiveness …
View article: Empowering Agricultural Insights: RiceLeafBD -- A Novel Dataset and Optimal Model Selection for Rice Leaf Disease Diagnosis through Transfer Learning Technique
Empowering Agricultural Insights: RiceLeafBD -- A Novel Dataset and Optimal Model Selection for Rice Leaf Disease Diagnosis through Transfer Learning Technique Open
The number of people living in this agricultural nation of ours, which is surrounded by lush greenery, is growing on a daily basis. As a result of this, the level of arable land is decreasing, as well as residential houses and industrial f…
View article: A Novel Ensemble-Based Deep Learning Model with Explainable AI for Accurate Kidney Disease Diagnosis
A Novel Ensemble-Based Deep Learning Model with Explainable AI for Accurate Kidney Disease Diagnosis Open
Chronic Kidney Disease (CKD) represents a significant global health challenge, characterized by the progressive decline in renal function, leading to the accumulation of waste products and disruptions in fluid balance within the body. Give…
View article: Quantifying Pathological Progression from Single-Cell Data
Quantifying Pathological Progression from Single-Cell Data Open
The surge in single-cell datasets and reference atlases has enabled the comparison of cell states across conditions, yet a gap persists in quantifying pathological shifts from healthy cell states. To address this gap, we introduce single-c…
View article: Optimizing Domain-Specific Image Retrieval: A Benchmark of FAISS and Annoy with Fine-Tuned Features
Optimizing Domain-Specific Image Retrieval: A Benchmark of FAISS and Annoy with Fine-Tuned Features Open
Approximate Nearest Neighbor search is one of the keys to high-scale data retrieval performance in many applications. The work is a bridge between feature extraction and ANN indexing through fine-tuning a ResNet50 model with various ANN me…
View article: Numerical analysis of an omnidirectional and polarization-insensitive broadband metamaterial absorber based on a quadcopter-shaped structure
Numerical analysis of an omnidirectional and polarization-insensitive broadband metamaterial absorber based on a quadcopter-shaped structure Open
A broadband metamaterial absorber with a unique symmetrical quadcopter-shaped resonator, operating in the visible spectrum between 400 and 800 nm is proposed in this work for effective solar energy harvesting. A SiO 2 substrate, which is l…
View article: Algorithms for Parameterized String Matching with Mismatches
Algorithms for Parameterized String Matching with Mismatches Open
Two strings are considered to have parameterized matching when there exists a bijection of the parameterized alphabet onto itself such that it transforms one string to another. Parameterized matching has application in software duplication…
View article: Privacy-Preserving Customer Churn Prediction Model in the Context of Telecommunication Industry
Privacy-Preserving Customer Churn Prediction Model in the Context of Telecommunication Industry Open
Data is the main fuel of a successful machine learning model. A dataset may contain sensitive individual records e.g. personal health records, financial data, industrial information, etc. Training a model using this sensitive data has beco…
View article: Efficient Medical Image Retrieval Using DenseNet and FAISS for BIRADS Classification
Efficient Medical Image Retrieval Using DenseNet and FAISS for BIRADS Classification Open
That datasets that are used in todays research are especially vast in the medical field. Different types of medical images such as X-rays, MRI, CT scan etc. take up large amounts of space. This volume of data introduces challenges like acc…
View article: GraphAge: Unleashing the power of Graph Neural Network to Decode Epigenetic Aging
GraphAge: Unleashing the power of Graph Neural Network to Decode Epigenetic Aging Open
DNA methylation is a crucial epigenetic marker used in various clocks to predict epigenetic age. However, many existing clocks fail to account for crucial information about CpG sites and their interrelationships, such as co-methylation pat…
View article: PRIEST: predicting viral mutations with immune escape capability of SARS-CoV-2 using temporal evolutionary information
PRIEST: predicting viral mutations with immune escape capability of SARS-CoV-2 using temporal evolutionary information Open
The dynamic evolution of the severe acute respiratory syndrome coronavirus 2 virus is primarily driven by mutations in its genetic sequence, culminating in the emergence of variants with increased capability to evade host immune responses.…
View article: CRISPR-DIPOFF: an interpretable deep learning approach for CRISPR Cas-9 off-target prediction
CRISPR-DIPOFF: an interpretable deep learning approach for CRISPR Cas-9 off-target prediction Open
CRISPR Cas-9 is a groundbreaking genome-editing tool that harnesses bacterial defense systems to alter DNA sequences accurately. This innovative technology holds vast promise in multiple domains like biotechnology, agriculture and medicine…
View article: CC-Tempo: A cell-cell communication aware temporal model of cellular dynamics
CC-Tempo: A cell-cell communication aware temporal model of cellular dynamics Open
Delineating the mechanisms underlying cell state changes is key to gaining insights into organismal development and disease prognosis. Various methods have been proposed to study cellular differentiation and cell fate specification. Howeve…
View article: Leveraging Complementary Attention maps in vision transformers for OCT image analysis
Leveraging Complementary Attention maps in vision transformers for OCT image analysis Open
Optical Coherence Tomography (OCT) scan yields all possible cross-section images of a retina for detecting biomarkers linked to optical defects. Due to the high volume of data generated, an automated and reliable biomarker detection pipeli…