Deponker Sarker Depto, Shazidur Rahman, Md. Mekayel Hosen, Mst Shapna Akter et al.
With the recent developments in deep learning, automatic cell segmentation from images of microscopic examination slides seems to be a solved problem as recent methods have achieved comparable results on existing benchmark datasets. However, most of the existing cell segmentation benchmark datasets ...
Mst Shapna Akter, Hossain Shahriar, Nova Ahmed, Alfredo Cuzzocrea
Aggressive comments on social media negatively impact human life. Such offensive contents are responsible for depression and suicidal-related activities. Since online social networking is increasing day by day, the hate content is also increasing. Several investigations have been done on the domain ...
Mst Shapna Akter, Hossain Shahriar, Reaz A. Chowdhury, M. R. C. Mahdy
Forecasting the risk factor of the financial frontier markets has always been a very challenging task. Unlike an emerging market, a frontier market has a missing parameter named “volatility”, which indicates the market’s risk and as a result of the absence of this missing parameter and the lack of p...
Shahriyar Zaman Ridoy, Md. Shazzad Hossain Shaon, Alfredo Cuzzocrea, Mst Shapna Akter
Automated detection of software vulnerabilities is critical for enhancing security, yet existing methods often struggle with the complexity and diversity of modern codebases. In this paper, we propose a novel ensemble stacking approach that synergizes multiple pre-trained large language models (LLMs...
Mst Shapna Akter, Hossain Shahriar, Md. Abdur Rahman, Muhammad Sabbir Rahman et al.
In recent times, the cryptocurrency market has emerged as one of the fastest-growing financial markets worldwide. It is, however, known for its high volatility and illiquidity compared to traditional markets such as equities, foreign exchange, and commodities. This inherent risk creates uncertainty ...
Amrijit Biswas, Iftekhar Ahmed Uday, K. M. Rahat, Mst Shapna Akter et al.
Forecasting a currency exchange rate is one of the most challenging tasks nowadays. Due to government monetary policy and some uncertain factors, such as political stability, it becomes difficult to correctly forecast the currency exchange rate. Previously, many investigations have been done to fore...
Mst Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea, Nova Ahmed et al.
A handwritten word recognition system comes with issues such as-lack of large and diverse datasets. It is necessary to resolve such issues since millions of official documents can be digitized by training deep learning models using a large and diverse dataset. Due to the lack of data availability, t...
Momotaz Begum, Mehedi Hasan Shuvo, Md. Golam Mostofa, Abm Kamrul Islam Riad et al.
Outlier reduction is crucial in computer science for improving data quality, analysis accuracy, and modeling robustness. Selection and modification of DBSCAN parameters are essential for optimal clustering accuracy and outlier detection. We developed an adaptive technique to minimize outliers in the...
Kazi Rumman Reswan Turjo, Partho Anthony D’Costa, Surjo Bhowmick, Asadullah Al Galib et al.
Physical abuse and sexual harassment are serious issues all over the world. In Bangladesh, India, and other south Asian countries, crimes of these natures have risen to a substantial number during the past decade. We have designed an Arduino-based simple safety-vest device by using E-Textiles as pre...
Md. Fahim Sultan, Tasmin Karim, Md. Shazzad Hossain Shaon, Md. Mamun Ali et al.
Bitter peptides are short amino acid chains that produce a bitter taste. These peptides are made primarily in food processing through the chemical reduction of peptides. The bitterness arises from the specific sequence of amino acids in peptides, which interact with the bitter taste receptors on the...
Md. Fahim Sultan, Tasmin Karim, Md. Shazzad Hossain Shaon, Sayed Mehedi Azim et al.
Laboratory-based detection of D sites is laborious and expensive. In this study, we developed effective machine learning models employing efficient feature encoding methods to identify D sites. Initially, we explored various state-of-the-art feature encoding approaches and 30 machine learning techni...
Kumar Priyansh, Ritu Dimri, Fahim Islam Anik, Mst Shapna Akter et al.
Network Intrusion Detection System (NIDS) is a popular software application that scans and monitors for suspicious network traffic and alerts when a potential threat is identified. Although NIDS has its' advantages, there are scenarios pertaining to a busy or large network, encrypted data informatio...
Syeda Sadia Alam, Mst Shapna Akter, Alfredo Cuzzocrea
Md. Shazzad Hossain Shaon, Md. Fahim Sultan, Tasmin Karim, Md. Shoaib Hossain Alshan et al.
Neuropeptides (NPs) are fragile proteins that serve as essential signaling molecules in the neurological system, playing a key role in modulating various physiological processes. Identifying particular neuropeptide sequences relevant to specific disorders would be beneficial for accelerating the dev...
Tasmin Karim, Md. Shazzad Hossain Shaon, Md. Mamun Ali, Sobhy M. Ibrahim et al.
Protein S-nitrosylation (SNO) is a process involving the covalent modification of cysteine residues by nitric oxide (NO) and its derivatives. Numerous studies have demonstrated that SNO is significantly involved in cell function and pathophysiology. The identification of SNO sites is significant in ...
Mst Shapna Akter, Nova Ahmed, Hossain Shahriar
This paper represents the experience of women from STEM and Non-STEM fields from the perspective of the rural area of Bangladesh. In Bangladesh, the social and cultural perspectives differ from one area to another. Previously no work has been done in Bangladesh from the perspective of the rural area...