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ISSN: 9788835155119 · Editor / fuente: FrancoAngeli
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Algunas ideas sobre la verdad, el amor, la voluntad y la ética del libro del desasosiego de Bernardo Soares, de Fernando Pessoa una visión desde algunos textos de la OPS
ISSN: 01233122 · Editor / fuente: Universidad de La Sabana,
101
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An Empirical Evaluation of Machine Learning Methods and Text Classifiers for Sentiment Analysis of Online Consumer Reviews
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This study aims to identify the best predictive model for analysing online product reviews (OPRs) in the electronics industry, with a secondary focus on leveraging unstructured customer feedback to support product improv...
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Open AccessAI-Driven Malware Analysis and Detection: A Comprehensive Survey of Techniques, Trends and Challenges
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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 al...
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Open AccessDesign and Implementation of a Web-Based Lecture Timetable Scheduling System
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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 describe...
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Material complementarioEditorial: Intelligent Systems and the Next Wave of Digital Innovation
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The field of artificial intelligence (AI), machine learning and intelligent automation has become pervasive in our modern digital world. It extends from business and public services to environmental management and even i...
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Open AccessExploring the Pathways of Artificial Intelligence and Sustainable Development in the Era of Industrial Revolutions: A Bibliometric Analysis and Future Research Agenda
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Artificial Intelligence (AI) is playing an increasingly pivotal role in driving innovation and promoting sustainable development across various sectors amid the ongoing wave of industrial revolutions. However, the existi...
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Material complementarioHybrid Sentiment Analysis Model for Customer Feedback Interpretation Using Lexicon, Machine Learning and Deep Learning Techniques
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Customer feedback is pivotal in enhancing service quality and user satisfaction across digital platforms. However, traditional sentiment analysis methods often struggle with informal languages, contextual nuances, and as...
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Open AccessInnovative Approaches to E-Grocery: Analyzing Customer Satisfaction in Facebook Livestream Shopping
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The primary objective of this study is to examine the crucial determinants that influence customer satisfaction in Facebook livestream e-grocery shopping in Malaysia, with a particular focus on housewives as a significan...
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Material complementarioOptimised Data Integration using Transformer Model and Resource Description Framework
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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 ...
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Material complementarioProactive Strategies, Absorptive Capacity and Competitive Advantage of Small and Medium Enterprise (SMEs) firms in East Java Indonesia
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Proactive strategy and absorptive capacity are crucial components in building a competitive advantage, particularly in the Small and Medium Enterprise (SMEs) sector. This study examines the moderating role of absorptive ...
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Open AccessSentiment-Based Music Recommendation System using Natural Language Processing for Emotion-aware Song Suggestions
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Open AccessSubdimensions of Technostress Across Industries: A Systematic Review
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Technostress is the stress induced by the use of digital technologies, which has attracted growing academic interest due to its multidimensional nature and impact across various industries. In this light, the aim of this...
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Open AccessA Conceptual Framework on Development of Sign Language Chatbot for E-Commerce
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This study proposes and validates a conceptual framework using a sign language (SL) chatbot in the e-commerce domain to improve accessibility. Currently, the use of SL is a less-explored area in online platforms. It is d...
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Open AccessA Unified Cloud-Based System for the Tyre Retail Industry: Design and Implementation of Tracktive
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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...
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Open AccessANFIS and RBFNN Efficacy and Timescale Dependence in SPEI-Based Drought Prediction using Meteorological Inputs
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Drought is a slow-onset natural disaster that has far-reaching effects on agriculture, water security, and socio-economic systems, especially in climate-vulnerable countries such as Malaysia. It is imperative to predict ...
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Open AccessAccelerating Technological Advancement and Financial Inclusion through Automotive–Takaful Collaboration
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Insurance coverage and risk mitigation have become vital in the automotive industry. This case study aims to explore how the partnership between Tan Chong Motor Holdings Berhad (TCMHB) and Takaful Ikhlas General Berhad (...
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Open AccessAn Enhanced Glowworm Swarm Optimization for Minimizing Surface Roughness in Die Sinking Electrical Discharge Machining
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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 di...
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Open AccessArtificial Intelligence and Employee Well-Being: A Systematic Literature Review
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Artificial Intelligence (AI) is transforming modern workplaces by offering opportunities to enhance employee well-being while simultaneously introducing significant challenges. Although scholarly interest in the intersec...
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InstitucionalClick, Watch, Buy: Understanding Purchase Intention of Malaysian University Students in the Live Stream Shopping Era
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This study aims to examine the factors that influence purchase intention in live streaming e-commerce among Malaysian university students. It explores background characteristics, shopping behaviours, and live stream feat...
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Open AccessCultivating Responsible Artificial Intelligence Practices in Malaysian Higher Education
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The integration of Artificial Intelligence (AI) in higher education presents both opportunities and ethical challenges. In Malaysia, private universities are adopting AI at a pace that often outshines the development of ...
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Open AccessDeep Learning-Based Automatic Detection and Diagnosis of Tuberculosis from Chest X-ray Images: A Comprehensive Analysis
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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 infectio...
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Open AccessDigital Marketing and Consumer Behaviour in Travel Services: A Conceptual Framework on the Mediating Role of Brand Trust
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Digital marketing shapes each moment of the contemporary travel journey, yet limited evidence still obscures how individual tactics foster purchase decisions. This conceptual study will develop an integrative framework t...
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Open AccessEditorial Preview for February 2026 Issue
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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 System...
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Open AccessEfficiency of Neo4j in Designing and Analysing Graph Database for Air Quality Analysis of Indian Metro Cities
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The analysis of the Air Quality Index (AQI) is currently a popular subject in the area of sustainable research, as it is crucial for investigating and analysing the effects of air pollutants on human health in urban envi...
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Material complementarioEnhancing Fraud Detection in Financial Transactions using LightGBM and Random Forest
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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 ty...
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