Md. Easin Arafat

ORCID: 0000-0003-4014-9144
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About
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Research Areas
  • Machine Learning in Bioinformatics
  • Genomics and Phylogenetic Studies
  • RNA and protein synthesis mechanisms
  • Software Testing and Debugging Techniques
  • Software Engineering Research
  • Software Reliability and Analysis Research
  • Plasmonic and Surface Plasmon Research
  • Cancer-related gene regulation
  • Generative Adversarial Networks and Image Synthesis
  • Blockchain Technology Applications and Security
  • Software System Performance and Reliability
  • Drug-Induced Hepatotoxicity and Protection
  • Image Processing Techniques and Applications
  • Brain Tumor Detection and Classification
  • Advanced Proteomics Techniques and Applications
  • Multimodal Machine Learning Applications
  • Bacterial Identification and Susceptibility Testing
  • RNA modifications and cancer
  • Moringa oleifera research and applications
  • Cutaneous Melanoma Detection and Management
  • Artificial Intelligence in Healthcare
  • Phytochemistry and biological activities of Ficus species
  • Hearing Impairment and Communication
  • Artificial Intelligence in Healthcare and Education
  • Water Quality Monitoring and Analysis

University of Science and Technology Chittagong
2025

Jahangirnagar University
2020-2024

Mawlana Bhashani Science and Technology University
2018-2024

Eötvös Loránd University
2024

United International University
2019-2020

Post Translational Modification (PTM) is defined as the alteration of protein sequence upon interaction with different macromolecules after translation process. Glutarylation considered one most important PTMs, which associated a wide range cellular functioning, including metabolism, translation, and specified separate subcellular localizations. During past few years, computational approaches has been proposed to predict sites. However, despite all efforts that have made so far, prediction...

10.3390/genes11091023 article EN Genes 2020-08-31

Background: Cheilocostus speciosus (J. Koenig) C. Specht, commonly known as “Crepe‐ginger”, is a traditional plant with edible flowers utilized in folk medicine. This study employs crepe‐ginger to evaluate their role boosting liver immunity, hepatoprotective actions through oxidative stress management. Methods: flower’s methanolic extract (CSF‐ME) was subjected In‐vitro anti‐oxidant effects were evaluated using DPPH and ABTS in‐vivo by catalase (CAT) assays which ameliorated CCl4‐induced...

10.1002/cbdv.202500261 article EN Chemistry & Biodiversity 2025-03-19

Advanced technological solutions need to address critical data security problems and interoperability issues that emerge from EHR systems developing in complexity. This document evaluates the combination of Blockchain technology Artificial Intelligence tools for system transformation a business analytical standpoint. maintains secure environment through its indestructible record distributed computing framework locks out breaches unlawful modifications thus meeting healthcare requirements...

10.55640/business/volume06issue05-02 article EN International Interdisciplinary Business Economics Advancement Journal 2025-05-06

Healthcare IT underwent a revolution through artificial intelligence (AI) together with high-performance computing which particularly enhances diagnostics along intelligent data processing operations. The use of AI-powered racks delivers exceptional speed alongside efficiency for handling large-scale medical leads to faster diagnoses and real-time patient observation precise treatments. This paper studies how redefine healthcare operations their ability boost computational power generate...

10.37547/tajas/volume07issue05-02 article EN The American Journal of Applied Sciences 2025-05-06

The fast growth of Over-the-Top (OTT) services disrupted conventional telecom revenue streams which now demands operators to develop new business approaches. Telecom corporations need essential survival techniques preserve profitability while operating in an OTT-dominant market structure according this research. research utilizes a blended methodology that combines financial data within the industry with case examples and pattern analyses study success revenue-stream redirection strategies...

10.37547/tajmei/volume07issue05-02 article EN The American Journal of Management and Economics Innovations 2025-05-06

New advancements in artificial intelligence technology have driven fundamental changes IT operations by making possible self-governing infrastructure along with intelligent service administration. frameworks of a traditional nature present several performance-limiting issues because they depend on humans while only addressing problems after occur which leads to both poor operational outcomes and elevated expenses. AI computing racks bring revolutionary systems through their integration...

10.37547/tajet/volume07issue05-04 article EN The American Journal of Engineering And Technology 2025-05-06

Abstract Background Colocasia esculenta (L.) Schott, known as the taro vegetable, possesses various beneficial effects and is traditionally used in folk medicine. This study explores ameliorative antioxidant hepatoprotective effect of a methanolic extract C. flower (ME‐CEF) against oxidative damage hepatotoxicity mice. Methods The efficacy ME‐CEF was assessed using 2,2′‐azino‐bis‐(3‐ethylbenzothiazoline‐6‐sulfonic) (ABTS) 2,2‐diphenyl‐1‐picrylhydrazyl (DPPH) scavenging assay. investigated by...

10.1002/ame2.70031 article EN cc-by Animal Models and Experimental Medicine 2025-05-28

Post Translational Modification (PTM) is considered an important biological process with a tremendous impact on the function of proteins in both eukaryotes, and prokaryotes cells. During past decades, wide range PTMs has been identified. Among them, malonylation recently identified PTM which plays vital role interactions. Notwithstanding, this modification potential energy metabolism different species including Homo Sapiens. The identification sites using experimental methods time-consuming...

10.1109/access.2020.2989713 article EN cc-by IEEE Access 2020-01-01

Brain tumors are among the deadliest forms of cancer, and there is a significant death rate in patients. Identifying classifying brain critical steps understanding their functioning. The best way to treat tumor depends on its type, size, location. In modern era, Radiologists utilize locations that can be determined using magnetic resonance imaging (MRI). However, manual tests MRI examinations time-consuming require skills. addition, misdiagnosis lead inappropriate medical therapy, which...

10.5815/ijitcs.2024.03.02 article EN International Journal of Information Technology and Computer Science 2024-06-01

Inspection of code review process effectiveness and continuous improvement can boost development productivity. Such inspection is a time-consuming human-bias-prone task. We propose semi-supervised learning based system ReviewRanker which aimed at assigning each confidence score expected to resonate with the quality review. Our proposed method trained on simple well defined labels provided by developers. The labeling task requires little no effort from has potential minimizing back-and-forth...

10.1145/3639478.3643111 article EN 2024-04-14

Lysine propionylation is an extensive post- translational modification in both eukaryotes and prokaryotes which brings a significant regulatory role. However, for various biological processes metabolic activities, it also responsible. Nevertheless, the limitation effectiveness of lysine photosynthetic organisms remain obscure. If any computational method can thoroughly identify sites with greater accuracy then will be more beneficial as well save money cost. In this work, we have introduced...

10.1109/tensymp50017.2020.9230466 article EN 2017 IEEE Region 10 Symposium (TENSYMP) 2020-01-01

Cancer is one of the most hazardous diseases that cause death.However, if detected early this medical condition not very prohibitive to defeat.The skin cancer anomalous growth cells often promotes on body apparent sunlight but can occur anywhere body.Skin common type malignant tumor in both men and women.So, for detection cancer, image processing approaches play a paramount role.There are mainly four steps involved are: Preprocessing, segmentation, feature extraction, classification.The...

10.5120/ijca2018917939 article EN International Journal of Computer Applications 2018-10-17

Glutarylation is a new acylated post-translational modification. It responsible for diverse metabolic functions and biological process. Identification of glutarylation very significant as it controls different mitochondrial activities. Laboratory methods identification are costly take lot time. If computational tool can identify lysine sites efficiently, will both save time money. In our proposed method, comparatively feature extraction technique, peptide evolutionary features, has been used...

10.1109/icecte48615.2019.9303533 article EN 2019-12-26

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10.2139/ssrn.4750303 preprint EN 2024-01-01

Abstract Methylation is considered one of the proteins’ most important post-translational modifications (PTM). Plasticity and cellular dynamics are among many traits that regulated by methylation. Currently, methylation sites identified using experimental approaches. However, these methods time-consuming expensive. With use computer modelling, can be quickly accurately, providing valuable information for further trial investigation. In this study, we propose a new machine-learning model...

10.1007/s12559-024-10268-2 article EN cc-by Cognitive Computation 2024-05-01

<title>Abstract</title> Background <italic>Colocasia esculenta</italic> (L) Schott, known as the taro vegetable, possesses various beneficial effects and is traditionally used in folk medicine. This study explores ameliorative anti-oxidant hepatoprotective effect of a methanolic extract flower (ME-CEF) against oxidative damage hepatotoxicity mice. Methods The antioxidant efficacy ME-CEF was assessed using ABTS DPPH scavenging assay. investigated by an assessment liver injury indicators (ALT,...

10.21203/rs.3.rs-5400811/v1 preprint EN cc-by Research Square (Research Square) 2024-11-07

Abstract This research investigates how machine learning (ML) algorithms can be applied to financial fraud detection as a way improve predictive analysis and reduce business risk of fraudulent activities. Financial is major threat according Association Certified Fraud Examiners (2023) which may cost corporations consumers more than $5 trillion. Many traditional systems have relied on rule-based methods restricted with predefined criteria not able adapt evolving patterns. For this research,...

10.62127/aijmr.2024.v02i06.1116 article EN cc-by-sa Deleted Journal 2024-11-21

Sign language is commonly used by people with hearing and speech impairments, making it difficult for those without such disabilities to understand. However, sign not limited communication within the deaf community alone. It has been officially recognized in numerous countries increasingly being offered as a second option educational institutions. In addition, shown its usefulness various professional sectors, including interpreting, education, healthcare, facilitating between impairments....

10.19139/soic-2310-5070-2020 article EN Statistics Optimization & Information Computing 2024-06-13

Code review is considered a key process in the software industry for minimizing bugs and improving code quality. Inspection of effectiveness continuous improvement can boost development productivity. Such inspection time-consuming human-bias-prone task. We propose semi-supervised learning based system ReviewRanker which aimed at assigning each confidence score expected to resonate with quality review. Our proposed method trained on simple well defined labels provided by developers. The...

10.48550/arxiv.2307.03996 preprint EN cc-by arXiv (Cornell University) 2023-01-01
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