Mohammad Shamsul Arefin
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View article: Bio-rational management of anthracnose of banana with indigenous plant oils
Bio-rational management of anthracnose of banana with indigenous plant oils Open
The present investigation was aimed to screen indigenous plant oils for the management of anthracnose (Colletotrichum musae) in banana. Among the plant oils, the highest radial growth inhibition of C. musae (77.78%) was observed with eucal…
View article: Bio-rational management of anthracnose of banana with indigenous plant oils
Bio-rational management of anthracnose of banana with indigenous plant oils Open
The present investigation was aimed to screen indigenous plant oils for the management of anthracnose (Colletotrichum musae) in banana. Among the plant oils, the highest radial growth inhibition of C. musae (77.78%) was observed with eucal…
View article: Device Modeling and Performance Enhancement of Ecologically Viable CsGeI <sub>3</sub> ‐Based Perovskite Solar Cells: A Detailed Investigation of Charge Transport Layer Technology
Device Modeling and Performance Enhancement of Ecologically Viable CsGeI <sub>3</sub> ‐Based Perovskite Solar Cells: A Detailed Investigation of Charge Transport Layer Technology Open
The development process of environmentally friendly and sustainable perovskite solar cells (PSCs) necessitates substitutes for harmful lead (Pb) and unstable tin (Sn) based absorber materials. Germanium (Ge), a chemically stable and eco‐fr…
View article: A robot process automation based mobile application for early prediction of chronic kidney disease using machine learning
A robot process automation based mobile application for early prediction of chronic kidney disease using machine learning Open
Chronic kidney disease (CKD) is characterized by persistent abnormalities in urinary biomarkers or reduced renal function, posing risks not only of progression to end-stage kidney disease but also of accelerated cardiovascular complication…
View article: SkinIncept: an ensemble transfer learning-based approach for multiclass skin disease classification using InceptionV3 and InceptionResNetV2
SkinIncept: an ensemble transfer learning-based approach for multiclass skin disease classification using InceptionV3 and InceptionResNetV2 Open
Skin diseases are a significant public health challenge in Bangladesh, with prevalence rates soaring from 11.16 to 63% in recent years. The lack of access to dermatological expertise and resource constraints in rural areas exacerbate delay…
View article: Remarkable Spatial Influences behind Shaping the Bangla Dance: Performer and Audience Perspectives
Remarkable Spatial Influences behind Shaping the Bangla Dance: Performer and Audience Perspectives Open
Dance is a form of art where the dancers express themselves by moving the body in a rhythmic and coordinated way with a surrounding environment. The environment in which dancers perform has always had an impact on dance forms. In this way,…
View article: Facilitating automated fact-checking: a machine learning based weighted ensemble technique for claim detection
Facilitating automated fact-checking: a machine learning based weighted ensemble technique for claim detection Open
The rapid digitization of media, driven by technological advancements, has accelerated the spread of information through online platforms. This has heightened the need for robust fact-checking mechanisms to counter misinformation. The prev…
View article: SMFA: Strengthening Multi-Factor Authentication With Steganography for Enhanced Security
SMFA: Strengthening Multi-Factor Authentication With Steganography for Enhanced Security Open
Traditional password-based authentication mechanisms exhibit significant security vulnerabilities, prompting the adoption of Multi-Factor Authentication (MFA) to enhance user verification. However, current MFA methods, such as OffPAD, One-…
View article: CUET_Ignite@DravidianLangTech 2025: Detection of Abusive Comments in Tamil Text Using Transformer Models
CUET_Ignite@DravidianLangTech 2025: Detection of Abusive Comments in Tamil Text Using Transformer Models Open
View article: A Scalable and Privacy-Preserving Hybrid Blockchain Architecture for Secure Healthcare Data Management
A Scalable and Privacy-Preserving Hybrid Blockchain Architecture for Secure Healthcare Data Management Open
View article: A Hybrid Caching Scheme with Dynamic Forwarding Strategy in Information‐Centric Network
A Hybrid Caching Scheme with Dynamic Forwarding Strategy in Information‐Centric Network Open
In this era of huge data traffic, the information‐centric network (ICN) is a switching strategy from conventional host‐centric communication to a new data‐centric one. In‐network caching an integral part of ICN can reduce the shortcomings …
View article: Developing a Genetic Algorithm Based Daily Calorie Recommendation System for Humans
Developing a Genetic Algorithm Based Daily Calorie Recommendation System for Humans Open
Lately, there has been an increasing fascination with employing genetic algorithms (GAs) to tackle intricate optimization issues. Genetic algorithms (GAs) draw inspiration from natural selection and have demonstrated efficacy in discoverin…
View article: AITeQ: a machine learning framework for Alzheimer’s prediction using a distinctive five-gene signature
AITeQ: a machine learning framework for Alzheimer’s prediction using a distinctive five-gene signature Open
Neurodegenerative diseases, such as Alzheimer’s disease, pose a significant global health challenge with their complex etiology and elusive biomarkers. In this study, we developed the Alzheimer’s Identification Tool (AITeQ) using ribonucle…
View article: Mutational alterations in the QRDR regions associated with fluoroquinolone resistance in<i>Pseudomonas aeruginosa</i>of clinical origin from Savar, Dhaka
Mutational alterations in the QRDR regions associated with fluoroquinolone resistance in<i>Pseudomonas aeruginosa</i>of clinical origin from Savar, Dhaka Open
Bacterial DNA gyrase and topoisomerase IV are the major targets of quinolone antibiotic, and mutational alterations in quinolone resistance determining regions (QRDR) serve as major mechanism of resistance in most bacterial species, includ…
View article: Token Trails: Navigating Contextual Depths in Conversational AI with ChatLLM
Token Trails: Navigating Contextual Depths in Conversational AI with ChatLLM Open
Conversational modeling using Large Language Models (LLMs) requires a nuanced understanding of context to generate coherent and contextually relevant responses. In this paper, we present Token Trails, a novel approach that leverages token-…
View article: Metallo-β-lactamase mediated rapid increase in carbapenem resistance of<i>Pseudomonas aeruginosa</i>
Metallo-β-lactamase mediated rapid increase in carbapenem resistance of<i>Pseudomonas aeruginosa</i> Open
Antibiotic-resistant Pseudomonas aeruginosa is a common nosocomial pathogen all over the world. We detected the presence of P. aeruginosa in 22% (53 out of 238) of the test samples collected from patients with infections including secondar…
View article: KOA-CCTNet: An Enhanced Knee Osteoarthritis Grade Assessment Framework Using Modified Compact Convolutional Transformer Model
KOA-CCTNet: An Enhanced Knee Osteoarthritis Grade Assessment Framework Using Modified Compact Convolutional Transformer Model Open
Knee osteoarthritis (KOA) is a prevalent condition characterized by gradual progression, resulting in observable bone alterations in X-ray images. X-rays are the preferred diagnostic tool for their ease of use and cost-effectiveness. Physi…
View article: A Non-invasive Detection of Parkinson’s Disease using PitArray: An Integrative Meta-Analysis and Machine Learning Approach
A Non-invasive Detection of Parkinson’s Disease using PitArray: An Integrative Meta-Analysis and Machine Learning Approach Open
Parkinson’s disease (PD) is a progressive neurodegenerative disorder affecting the central nervous system, often diagnosed in its advanced stages due to the absence of sensitive biomarkers. With this objective in mind, our study conducted …
View article: AITeQ: A machine learning framework for Alzheimer’s prediction using a distinctive 5-gene signature
AITeQ: A machine learning framework for Alzheimer’s prediction using a distinctive 5-gene signature Open
Neurodegenerative diseases, such as Alzheimer’s disease, pose a significant global health challenge with their complex etiology and elusive biomarkers. In this study, we developed the Alzheimer’s Identification Tool using RNA-Seq (AITeQ), …
View article: Roles of intrinsic and acquired resistance determinants in multidrug-resistant clinical Pseudomonas aeruginosa in Bangladesh
Roles of intrinsic and acquired resistance determinants in multidrug-resistant clinical Pseudomonas aeruginosa in Bangladesh Open
Introduction: Pseudomonas aeruginosa is an ESKAPE (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, P. aeruginosa, and Enterobacter spp.) pathogen and one of the leading etiologies in multiple no…
View article: A Computer Assisted Detection Framework of Kidney Diseases Based on CNN Model
A Computer Assisted Detection Framework of Kidney Diseases Based on CNN Model Open
Kidney Tumors (KT) are the tenth most prevalent tumor in both men and women globally. Using image processing techniques, we provide several approaches and models in this research to identify renal illnesses from the dataset. In building ou…
View article: A Comprehensive Review of Green Computing: Past, Present, and Future Research
A Comprehensive Review of Green Computing: Past, Present, and Future Research Open
Green computing, also called sustainable computing, is the process of developing and optimizing computer chips, systems, networks, and software in such a manner that can maximize efficiency by utilizing energy more efficiently and minimizi…
View article: Contrastive Learning for Universal Zero-Shot NLI with Cross-Lingual Sentence Embeddings
Contrastive Learning for Universal Zero-Shot NLI with Cross-Lingual Sentence Embeddings Open
Natural Language Inference (NLI) is a crucial task in natural language processing, involving the classification of sentence pairs into entailment, contradiction, or neutral categories.This paper introduces a novel approach to achieve unive…
View article: A Comprehensive Review on Big Data for Industries: Challenges and Opportunities
A Comprehensive Review on Big Data for Industries: Challenges and Opportunities Open
Technological advancements in large industries like power, minerals, and manufacturing are generating massive data every second. Big data techniques have opened up numerous opportunities to utilize massive datasets in several effective way…
View article: Combating Covid-19 using machine learning and deep learning: Applications, challenges, and future perspectives
Combating Covid-19 using machine learning and deep learning: Applications, challenges, and future perspectives Open
View article: Education Certification and Verified Documents Sharing System by Blockchain
Education Certification and Verified Documents Sharing System by Blockchain Open
The emergence of new and improved technological advances created severe problems in the security state of the educational certification system.Throughout this paper, a proposal has been made to improve security.Here, Blockchain technology …
View article: A Comprehensive Survey on Affinity Analysis, Bibliomining, and Technology Mining: Past, Present, and Future Research
A Comprehensive Survey on Affinity Analysis, Bibliomining, and Technology Mining: Past, Present, and Future Research Open
Recent advancements in high-speed communications and high-capacity computing systems have contributed to major growth in the data volume of databases. Data mining is a crucial part of information retrieval; it is often termed as database k…
View article: An Enhanced Neural Word Embedding Model for Transfer Learning
An Enhanced Neural Word Embedding Model for Transfer Learning Open
Due to the expansion of data generation, more and more natural language processing (NLP) tasks are needing to be solved. For this, word representation plays a vital role. Computation-based word embedding in various high languages is very u…
View article: Automated Brain Disease Classification using Transfer Learning based Deep Learning Models
Automated Brain Disease Classification using Transfer Learning based Deep Learning Models Open
Brain MRI (Magnetic Resonance Imaging) classification is one of the most significant areas of medical imaging. Among different types of procedures, MRI is the most trusted one to detect brain diseases. Manual and semi-automated segmentatio…
View article: CARAN: A Context-Aware Recency-Based Attention Network for Point-of-Interest Recommendation
CARAN: A Context-Aware Recency-Based Attention Network for Point-of-Interest Recommendation Open
Point-of-interest (POI) recommendation system that tries to anticipate user’s next visiting location has attracted a plentiful research interest due to its ability in generating personalized suggestions. Since user’s historical check-ins a…