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86 articles for “A. Hossain”
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Research ArticleOpen accessIn the author namesAI-Guided Anatomical Landmark and Abnormality Detection for Autonomous Endoscopy ExaminationMd Shakhawat Hossain, Munim Ahmed et al.Aabakken, L., Barkun, A. N., Cotton, P. B., Fedorov, E., Fujino, M. A., Ivanova, E., Kudo, S., Kuznetzov, K., De Lange, T., Matsuda, K., Moine, O., Rembacken, B., Rey, J., Romagnuolo, J., Rösch, T., Sawhney, M., Yao, K., & Waye, J. D. (2014). Standardized endoscopic reporting. Journal of Gastroenterology and Hepatology, 29(2), 234–240. https://doi.org/10.1111/jgh.12489 Aliyi, S., Dese, K., & Raj, … …Journal of Computer Science, Vol. 20, Issue 8 · 29 May 2024 · 6,786 accessesView PDFCite
Research ArticleOpen accessIn the author namesAugmented Scope-Based E-Commerce Business Model for Emerging MarketsRazib Hayat Khan, Ankan Shahriar Islam et al.E-commerce is one of the world's fastest-growing software service industries. With the arrival and rise of the 4th industrial revolution and technological advancements such as Artificial Intelligence, machine learning, and subscription economies, e-commerce is primed for significant growth globally, particularly in emerging markets. Emerging markets provide several unique growth factors and catalysts such as smart device adoption, high internet penetration, … …Journal of Computer Science, Vol. 19, Issue 12 · 20 Oct 2023 · 7,420 accessesView PDFCite
Research ArticleOpen accessIn the author namesPerformance Evaluation of Machine Learning-Based Algorithms to Predict the Early Childhood Development Among Under Five Children in BangladeshMd. Ismail Hossain, Iqramul Haq, Ashis Talukder et al.In this research, an effort has been made to apply a number of classifiers to predict Early Child Development (ECD) in the context of Bangladesh using the Bangladesh multiple indicator cluster survey, 2019 data set (i.e., to evaluate which sort of algorithm best identifies ECDI). To predict the ECD, nine well-known machine learning algorithms were applied, including Linear Regression (LR), … …Journal of Computer Science, Vol. 19, Issue 5 · 5 May 2023 · 6,850 accessesView PDFCite
Research ArticleOpen accessIn the author namesProtein Secondary Structure Prediction using Hybrid Recurrent Neural NetworksRomana Rahman Ema, Akhi Khatun, Md. Alam Hossain et al.The most important and challenging problem in bioinformatics is protein secondary structure prediction. The molecules of all protein organisms have three-dimensional (primary, secondary, 3-D) structures which are completely recognized by the sequence of amino acids. Protein secondary structure attributes to the polypeptide backbone of the local configuration of proteins. Most generally, the second-level prediction is indicated such as: If there … …Journal of Computer Science, Vol. 18, Issue 7 · 14 Jul 2022 · 7,339 accessesView PDFCite
Review ArticleOpen accessIn the author namesStrigolactones in Plant Stress Adaptation: Mechanisms and Agricultural PotentialHumayra Ferdus, Mahabuba Mostafa, Md. Motaher HossainAbiotic stresses have significant negative effects on the growth, development, and productivity of crop plants, which are critical to global agricultural production and ecosystem stability. Strigolactones (SLs), a family of carotenoid-derived plant phytohormones, have been identified as playing key roles in plant development and adaptive responses to environmental stimuli. Initially recognized as signaling molecules in host-parasite interactions and as symbiotic … …OnLine Journal of Biological Sciences, Vol. 26, Issue 4 · 3 Oct 2026 · 573 accessesView PDFCite
Review ArticleOpen accessIn the author namesCriniviruses at the Crossroads of Virology and Agroecology: Molecular Dialogues, Vector Synchrony, and Translational Control Strategies in Crop SystemsMd. Abdullah Al Sabbir, Nabela Akter, Ankita Saha, Md. Motaher HossainCriniviruses, members of the Closteroviridae, illustrate how molecular evolution, vector ecology, and climatic variability converge to determine plant virus emergence and persistence. Although individual genomic and transmission traits are well studied, their cross-scale integration has remained limited. Recent advances in comparative genomics and high-throughput sequencing have revealed that bipartite genome reassortment, recombination hotspots, and quasi-species microdiversity provide the genetic flexibility … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 22 Sep 2026 · 476 accessesView PDFCite
Review ArticleOpen accessIn the author namesAdvances in Modern Biotechnological Tools for Sustainable Control of Plant Viral DiseasesNabela Akter, Ankita Saha, Md. Abdullah Al Sabbir, Md. Motaher HossainPlant viruses pose a major threat to global food production, causing yield losses across many staple and horticultural crops. Conventional breeding for resistance is typically slow and constrained by the number of available natural resistance genes. Recent breakthroughs in biotechnology have enabled the development of accurate, flexible, and environmentally friendly technologies to confer virus resistance. This review summarizes exciting developments … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 16 Jul 2026 · 731 accessesView PDFCite
Review ArticleOpen accessIn the author namesDecoding Late Blight of Potato and Tomato: Insights into Pathogen Dynamics, Host Interactions and Emerging SolutionsHumayra Ferdus, Mahabuba Mostafa, Dodi Al Sharif, Md. Motaher HossainThe oomycete Phytophthora infestans is the source of late blight, a devastating disease that significantly impacts on tomato and potato cultivation worldwide, threatening food security and causing considerable economic losses. This review explores the epidemiological dynamics of late blight, focusing on the pathogen's life cycle, reproductive strategies, and molecular pathogenesis. Traditional management strategies, including cultural practices, host resistance, and biocontrol … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 5 Feb 2026 · 2,537 accessesView PDFCite
Research ArticleOpen accessIn the author namesDeep Sense: Deep Learning for Early Staging the Onset of Diabetes Emanating Recognition of Activity PatternsMohammed Shamsul Alam, Erfanul Hoque Bahadur, Md Fokrul Islam Khan et al.This study presents a comprehensive framework for Human Activity Recognition (HAR) using smartphone sensor data, with a specific focus on identifying activities associated with diabetic risk factors. We investigate the efficacy of two deep learning architectures (Long Short-Term Memory (LSTM) networks and Graph Convolutional Networks (GCNs)) for activity recognition under conditions of limited training data. To address data scarcity, we … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,275 accessesView PDFCite
Research ArticleOpen accessIn the author namesCritical Amino Acid and Energy Balancing to Address MaizeGrade Variation in Broiler PerformanceMd. Shahidur Rahman, Muhammad Farhad Hossain, Million Maksuda et al.This study aimed to evaluate the effects of maize grade variationin broiler performance. A total of 189 Cobb 500 broilers were randomly andevenly assigned to three dietary treatments having three replications of 21 birds each. The treatments were: T0 (feed formulated with grade-A maize), T1 (feed formulated with grade-B maize, with Metabolizable Energy (ME) deficiencies compensated by additional Soybean Oil … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 2 · 10 Jul 2025 · 2,962 accessesView PDFCite