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Editorial Preview For February 2026 Issue, Fong-Yee Lee, Su-Cheng Haw

Journal of Informatics and Web Engineering

The February 2026 issue presents 17 research papers within its regular section, covering a wide range of areas including Artificial Intelligence (AI), Machine Learning (ML), Web and Cloud Technologies, Recommender Systems and Software Engineering. The collection reflects JIWE’s ongoing effort to advance research in the informatics and web engineering domain. A special thematic section, guest-edited by Prof. Ts. Dr. Hairulnizam Bin Mahdin, centers on “Intelligent Systems and the Next Wave of Digital Innovation”. This section studies the pervasive role of AI and machine learning in multiple sectors of industrial automation and disaster preparedness. These studies also emphasize on trust, transparency, …

Radiology Report Generation Using Deep Learning And Web-Based Deployment For Chest X-Ray Analysis, David Agbolade, Peyman Heydarian, Shakeel Ahmad

Journal of Informatics and Web Engineering

The huge rise in the number of medical images has caused a major problem in radiology departments. Radiologists are now working harder than ever, which affects the quality of their diagnoses and patient care. It takes 15 to 30 minutes to write a manual radiological report for each case, and different people may see things differently. Modern departments process over 230 cases a week, which causes long delays in diagnosis. Automated report generation systems that are already in use have a lot of problems, such as not being able to be interpreted clinically, not having enough Digital Imaging and Communications …

Deep Learning-Based Automatic Detection And Diagnosis Of Tuberculosis From Chest X-Ray Images: A Comprehensive Analysis, Paschal C. Ahanotu, Deborah A. Adedigba, Raza Hasan, Sellappan Palaniappan

Journal of Informatics and Web Engineering

Tuberculosis (TB) continues to be one of the foremost public health issues in the world, and remains the second most salient communicable cause of death after COVID-19. In 2022, TB accounted for 10.6 million new infections and 1.3 million deaths globally. Conventional diagnostic approaches involving sputum smear microscopy, culture assays, and GeneXpert MTB/RIF are characterized by excessive turnaround times, elevated costs, and dependency on specialised infrastructure and trained personnel. These constraints are exacerbated in resource-poor countries, resulting in delayed diagnosis, delayed therapy initiation, and enhanced disease transmission. This work investigates the application of deep learning algorithms to automatically diagnose TB …

Ontology-Based E-Commerce Recommender System: A Hybrid Semantic Filtering Approach, Jocelyn Pua, Su-Cheng Haw, Lucia Dwi Krisnawati, Shaymaa Al-Juboori, Gee-Kok Tong

Journal of Informatics and Web Engineering

The rapid growth of e-commerce has led to product overload, which has resulted in personalized product discovery becoming a crucial problem for consumers. Classic recommender systems (RS), which rely heavily on content-based filtering or collaborative filtering, tend to face well-known problems such as cold start, data sparsity, and ignorance of semantics. Such constraints frequently result in irrelevant or redundant suggestions, thereby lowering the user satisfaction and conversions. This study presents a hybrid ontology-based e-commerce recommender system that combines symbolic reasoning with deep semantic matching. The system is based on a Neo4j graph database to capture structured product relationships and is …

Ai-Driven Malware Analysis And Detection: A Comprehensive Survey Of Techniques, Trends And Challenges, Salman Khan, Hasnat Raza, Mansoor Alam

Journal of Informatics and Web Engineering

Malware represents the most critical threat in cybersecurity, meant to compromise the security for any individual or any organization. These are covert software, designed to perform malicious act like data theft, data alteration, and to interrupt a normal operation of the services. The persistent evolution of malware has called for more sophisticated techniques in its detection and prevention, resulted into direct need of Artificial Intelligence in cybersecurity. Artificial intelligence, using machine learning techniques and rising concepts like neural networks has greatly improved the traditional static and dynamic ways of detecting malware. Advances in AI-driven solutions have made them much more …

Optimised Data Integration Using Transformer Model And Resource Description Framework, Jerome Aondongu Achir, Muhammad Abdulkarim, Mohammed Abdullahi

Journal of Informatics and Web Engineering

Organizations have become highly reliant on a range of data sources that span structured, semi-structured, and unstructured data types. These repositories allow large-scale storage for faster ingestion and analytics but pose tremendous challenges of integration owing to schema and contextual differences. Traditional data integration methods, such as the ontology-based Resource Description Framework (RDF), are often inadequate when dealing with these challenges. They specifically struggle with the dynamic evolution of the schema of data sources, context-aware interpretation, and achieving interoperability across heterogeneous data sources. This paper presents an integrated system that augments resource description knowledge with token embeddings using the attention …

Xai -Driven Explainability For Cardiovascular Diseases Prediction, Jacqueline Dike, Jarutas Andritsch

Journal of Informatics and Web Engineering

The adoption of artificial intelligence (AI) in cardiovascular disease prediction has significantly improved risk stratification, offering new avenues for early diagnosis and preventive care. With the growing availability of electronic health records and structured clinical datasets, machine learning (ML) and deep learning (DL) models have demonstrated strong predictive capabilities. However, despite their performance, its adoption in healthcare is often constrained by the lack of transparency and interpretability in many ML and DL models. This lack of explainability undermines clinical trust and raises ethical concerns. In high-stakes domains such as CVD prediction, clinicians require not only accurate outputs but also clear …

Sentiment-Based Music Recommendation System Using Natural Language Processing For Emotion-Aware Song Suggestions, Yu Bui Xuan, S. Prabha Kumaresan, Naveen Palanichamy, Mohamed Uvaze Ahamed Ayoobkhan

Journal of Informatics and Web Engineering

Music plays a vital role in influencing emotions, mood, and mental health. However, classical music recommendation systems mostly rely on listening to history, genre preference, or popularity, ignoring the listener’s mood. Motivation to go further in this area gave birth to this study, where a new sentiment-based music recommendation system is being designed by incorporating Natural Language Processing (NLP) and Machine Learning (ML) techniques to provide emotion-aware song recommendations. The system collects various audio features such as valence, energy, tempo, and danceability from music distribution platforms such as Spotify, which are well-known indicators for classifying the emotional tone of a …

A Unified Cloud-Based System For The Tyre Retail Industry: Design And Implementation Of Tracktive, William Theo Wei Loon, Siew-Chin Chong, Kian-Ming Lim, Lee-Ying Chong, Kuok-Kwee Wee

Journal of Informatics and Web Engineering

In the Malaysian concurrent tyre retailing industry, most of the business activities are carried out in the traditional labour-intensive ways. This manual process is prone to inefficiencies, increases operating costs and increases the likelihood of error. The current paper outlines Tracktive, a unified and cloud-based solution that was conceptualized and built to automate the industry by centralizing the ordering of tyres, inventory and order management to a single cloud-based platform. Tracktive is built on microservice architecture and event-driven architecture and deployed with the help of a simulated cloud environment. All the core functional modules are independent, scalable modules, each having …

Enhancing Fraud Detection In Financial Transactions Using Lightgbm And Random Forest, Wan-Ping Khor, Kah-Ong Michael Goh, Check-Yee Law, Connie Tee, Yong-Wee Sek, Riasat Khan

Journal of Informatics and Web Engineering

In recent years, the frequency and complexity of financial fraud have been rising and have become an urgent challenge for the global financial system. Traditional rule-based detection methods struggle to cope with new types of fraud, especially in terms of real-time detection, generalization ability, and accuracy. To overcome these limitations, machine learning techniques have gradually emerged as a promising solution for identifying fraudulent transactions with better flexibility and scalability. Based on the publicly available European credit card fraud transaction dataset, this study proposes a hybrid model that combines the advantages of LightGBM and Random Forest, aiming to improve the accuracy, …

Real-Time Posture Monitoring For Effective Exercise Using Mediapipe Python, Wan Izzul Wafiq Wan Noor Asmawi, S. Prabha Kumaresan

Journal of Informatics and Web Engineering

Maintaining proper posture during exercise is crucial for preventing injuries and maximizing workout efficiency. This project aims to develop a real-time posture monitoring system using MediaPipe and OpenCV to provide instant feedback on the exercise form. The system captures video input through a webcam, processes it using OpenCV, and utilizes MediaPipe’s pose-estimation model to detect key body landmarks. By analysing the joint angles and comparing them to predefined optimal postures, the system evaluates the user’s form and provides corrective feedback in real time. This approach eliminates the need for expensive wearable sensors, making posture monitoring more accessible and user friendly. …

Design And Implementation Of A Web-Based Lecture Timetable Scheduling System, Suraj Abubakar, Mohammed Kabir Dauda, Maryam Abdullahi Musa, Bala Muhammad Muhammad

Journal of Informatics and Web Engineering

Timetable management is a controversial but core administrative activity at tertiary learning institutions, normally saturated with timetabling clashes, resource wastage, and communication breakdowns. This study describes the development and validation of a Web-Based Lecture Timetable Scheduling System (WLTSS) for Abubakar Tafawa Balewa University (ATBU) Department of Computer Science. The system was implemented to automatically and effectively build, modify, and publicize lecture timetables. On Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), JavaScript, and React as frontend technologies, the system provides an adaptable interface with real-time data updates through the Reacts component model foundation. MySQL and Node.js are used to run …

Test Case Prioritization Using Ant Colony Optimization To Improve Fault Detection And Time, Nurezayana Zainal, Muhammad Sh Salleh, Nur Atiqah Wahidah Sulaiman, Ammar Alazab, Nur Liyana Sulaiman

Journal of Informatics and Web Engineering

Regression testing plays a critical role in ensuring the reliability and quality of software following continuous integration and development. However, executing all test cases during regression testing can be time-consuming and resource-intensive. Test Case Prioritization (TCP) addresses this challenge by determining an optimal execution order of test cases that maximizes early fault detection while minimizing execution time. Optimization algorithms contribute significantly to enhancing the effectiveness of TCP while utilizing limited resources. This study proposes an Ant Colony Optimization (ACO) algorithm to address the TCP problem, leveraging its strength in navigating complex search spaces inspired by the foraging behavior of real …

Flood Disaster Preparedness And Response Using A Web-Based Integrated Flood Management System (Ifms), Mohamed Abdiraman Abdirahim, Abd Samad Bin Hasan Basari, Malik Bader Alazzam, Muhammad Shukri Bin Che Lah, Rabiah Binti Ahmad, Aida Binti Mustapha

Journal of Informatics and Web Engineering

Floods are one of the most frequent and damaging natural hazards in Malaysia, especially in low-lying places, such as Batu Pahat and Johor. National flood monitoring systems, such as InfoBanjir and Malaysian Meteorological Department (MET) Malaysia, have disjointed data pools, late updates, and inadequate public access. In this paper, we present an IFMS, which is a contemporary web platform developed to integrate national flood management systems through data collection, automatic processing, dynamic visualization tools, and others. The system architecture consists of three main layers: IoT-enabled flood sensors, centralized web server, and responsive user interfaces. Backend processing is performed using Laravel, …

Evaluating Accuracy Latency And Robustness Of Face Recognition Models For Real-Time Web Applications, Alani Fatini Sharzizi, Nur Afiqah Sahadun, Abdulkadir Hassan Disina, Harinda Fernando

Journal of Informatics and Web Engineering

Face-recognition technology is one of the most important advancements in the field of computer vision. They play a crucial role in many applications, including biometric authentication, surveillance, online security, and interactive web systems. The use of web-based solutions is increasing continuously. Therefore, accurate and fast recognition models employing few resources are required in real-world applications. However, because of the challenges related to such environments, including the lighting, occlusion, pose, and computing power of client devices, it is difficult to ascertain which model will be most successful in a real-life scenario. The purpose of this research is to compare four deep …

An Enhanced Glowworm Swarm Optimization For Minimizing Surface Roughness In Die Sinking Electrical Discharge Machining, Nurezayana Zainal, Muhammad Ammar S.M. Shahrom, Mohamad Firdaus Ab. Aziz, Salama A. Mostafa, Anis Farhan Kamaruzzaman, Nor Bakiah Abd. Warif

Journal of Informatics and Web Engineering

Electric Discharge Machining (EDM) is a non-traditional machining process that utilizes electric sparks between an electrode and a workpiece submerged in a dielectric fluid to ablate a material. It is commonly used in die-making, aerospace, automotive manufacturing, and medical manufacturing, because it can machine hard and complex materials with high precision. In this work, a Surface Roughness Optimization for EDM (SRO-EDM) model is proposed to investigate the machining performance of the die-sinking EDM process of titanium alloys. A regression-based combined approach of Glowworm Swarm Optimization (GSO) and a Two-Factor Interaction (2FI) model has been proposed to investigate the impact of …

Implementation Of Project Dharma And Future Directions, Francesca Piccolo, Jean Bessette, Anna Mcconnell, Zoe Brokos, Brian Townsend, Dasan Thamattoor, Kinna Thakarar

Journal of Maine Medical Center

Problem: Overdose deaths and rising rates of infectious disease in the state of Maine warrant a strong public health response, overdose prevention education, and interventions. Initiatives for community drug checking are an innovative approach to understanding the composition of the current drug supply. Drug-checking initiatives can inform people who use drugs (PWUD) what adulterants might be present in their drug supply. In partnership with 3 community organizations in Maine, Project DHARMA supports PWUD and community partners with infectious disease screening, community drug checking, and infection and overdose prevention.

Approach: Project DHARMA supports the delivery of evidence-based infection and overdose prevention …

Translator Professional Identity Under Market Demands: A Qualitative Analysis Of Job Advertisements In The Saudi Translation Market, Dr. Saad Salem Alshamrani

UB Journal for Humanities

This study examines how the professional translator identity develops in the Saudi translation market through recruitment discourse. It employs a qualitative analysis approach of Saudi job advertisements to address the research objectives. The researcher compiled a corpus of sixty Arabic and English translation related job advertisements publicly published on certain major platforms across Saudi Arabia. The analysis of these advertisements aims to explore how the employer expectations shape out the professional roles, skills, competencies and values. Equally important, the analysis probed on how the job advertisements meticulously detail the market demands and professional criteria through recurring requirements and evaluative descriptors. …

A Summary Of Imam Al-Bukhari’S (D. 256 Ah) Methodology In His Sahih A Descriptive Statistical Study, Dr. Tariq Bin Ibrahim Bin Abdulrazzaq Al-Masoud

UB Journal for Humanities

Research Topic: The Overall Methodology of Imam al-Bukhari (d. 256 AH) in his Sahih: A Descriptive Statistical Study All praise is due to Allah alone, and peace and blessings be upon the one after whom there is no prophet. This work presents a scholarly paper that serves the Sahih of Imam al-Bukhari, employing a descriptive statistical approach. This involves tracing and enumerating the related elements of the book, and describing its overall methodology through Ibn Hajar’s Fath al-Bari. The importance of this research lies in its intellectual connection to the Sahih of Imam al-Bukhari, considering the book’s scholarly and practical …

The Muslim Woman In Diaspora And The Reconstruction Of Identity In Leila Aboulela’S Minaret, Mashhoor Abdu Al-Moghales

UB Journal for Humanities

Identity reconstruction frequently represents a major challenge for immigrants who settle in a new land. Leila Aboulela (b. 1964) presents the complexities faced by the diaspora of Muslim women in constructing a new identity that aligns with their new reality, without forgetting or affecting their original roots. In Minaret (2005), Aboulela highlights the strength and independence of the Muslim woman through her female character, Najwa, presenting Muslim women as successful and resilient, in defiance of prevailing stereotypes. Drawing on Lila Abu-Lughod’s anthropological critique in Do Muslim Women Need Saving? alongside Homi Bhabha’s theories of hybridity and the Third Space, the …

Handicrafts And Heritage Sustainability As An Approach To Supporting The Tourism Economy According To Women’S Empowerment Initiatives In The Kingdom Of Saudi Arabia, Hana Bint Mafawz Saleem Al-Fawaz

UB Journal for Humanities

The aim of the research is to identify the social, cultural, and economic dimensions of handicrafts and their role in sustaining Saudi heritage, as well as to explore the role of state institutions and civil society in supporting the empowerment of Saudi women. The research assumes that there are no statistically significant differences in the evaluation of the dimensions of women’s empowerment initiatives regarding the role of handicrafts in supporting the tourism economy considering Saudi Vision 2030, according to the opinions of specialists. The research followed a descriptive-analytical approach for a sample of Saudi women’s empowerment initiatives, totaling three initiatives. …

The Language Matters In Restaurant Menus: The Saudi Arabian Marketing Perspective, Abdulaziz Khalid Alotaibi

UB Journal for Humanities

The study investigates the effect of variations of menu language on customer purchasing decisions in Saudi Arabian restaurants operating under fixed price systems. Furthermore, the study examines how different linguistic approaches used in menu descriptions impact customer ordering behaviors within the Saudi hospitality industry’s unique culture and multilingual setting. Thus, a cross-sectional quantitative survey employed experimental vignettes across four language conditions: basic descriptions, sensory-rich descriptions, culturally authentic words, and premium positioning phrases. Hence, through an application of stratified random sampling, data were collected from 447 restaurant customers living in Saudi Arabia’s five most significant metropolitan areas. The findings indicated that …

Reviving The Skies: The Impact Of Government Focus On Aviation Industry Growth In The Post-Covid World, Sumeet Hassan Anwar, Humna Asad

Journal of Aviation Technology and Engineering

Travel restrictions and border closures during the COVID-19 epidemic drastically reduced air traffic that affected the aviation sector. With an eye toward regional variances and public-private alliances, this essay investigates how government policies, financial interventions, and regulatory frameworks assisted recovery attempts. The essay also looks at how network-based resilience models lower vulnerabilities and improve operational connection, thus guaranteeing future disturbance readiness. Autoregressive integrated moving average models, among other forecasting instruments, help to forecast aviation demand and match recovery plans with changing market dynamics. By means of comparative policy analysis and network theory, this study reveals best practices from Asia, Europe, …

The Evolution Of Mro Outsourcing: Global Trends, Regulatory Challenges, And Strategic Considerations In Aviation Maintenance, David C. Ison

Journal of Aviation Technology and Engineering

The maintenance, repair, and overhaul (MRO) industry plays a critical role in ensuring the safety, efficiency, and sustainability of the global aviation sector. As airlines seek to reduce costs, optimize operations, and access specialized expertise, MRO outsourcing has become an increasingly prevalent strategy. This essay examines the key drivers of MRO outsourcing, including cost reduction, access to advanced technologies, and the focus on core competencies. The essay also explores emerging trends such as the rise of new MRO hubs in Asia and the Middle East, the integration of predictive maintenance and artificial intelligence, and the growing emphasis on environmental sustainability. …

Afterwords: Make Mine A Double, Anthony Aycock

Creative Nonfiction Magazine

No abstract provided.

Of Online Anger, Puppies, And Ice Cream, Daniel Nester

Creative Nonfiction Magazine

No abstract provided.

Heroes And Consequences: On Masculinity And Redemptive Violence In American Culture, Chester F. Phillips

Creative Nonfiction Magazine

No abstract provided.

Show And Tell: Research And Personal Writing, Phillip Lopate

Creative Nonfiction Magazine

No abstract provided.

Sequelae: The Inner War, Bindu Wiles

Creative Nonfiction Magazine

No abstract provided.

Encounter: Buzz Bissinger

Creative Nonfiction Magazine

No abstract provided.