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Journal of Intelligent Systems and Applied Data Science
ISSN 2974-9840 · International Association of Scientific Research and Development (IASRD) · 49 artikel di indeks
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Artikel Jurnal
Acacia Seed Classification Using Machine Learning Techniques
Accurate classification of Acacia seed species in Saudi Arabia is challenging due to subtle morphological similarities. This study presents a deep learning-based framework for classifying seven Acacia seed species using the EfficientNet-V2 B0 convolutional neural network. Seed images collected…
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Vibration-Based Tool Wear Monitoring in Turning Using Nonlinear Complexity Indicator and Decimated Padé Approximation Spectral Analysis
This study investigates the evolution of vibration signals generated during the progressive wear of a cutting tool using a hybrid analytical framework that combines Decimated PadéApproximation spectral modeling and Rényi entropy analysis. Vibration signals representing new, moderately worn, and…
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Data Mining for Livelihood Typologies: A Cluster Analysis of Household Vulnerability in Agro-Ecological Region I of Southern Zambia
Agro-ecological Region I (AER I) of Zambia is increasingly affected by climatic variability, including erratic rainfall, recurrent droughts, and rising temperatures, which disrupt smallholder food systems and rainfed agriculture. Conventional vulnerability assessments in the region rely on…
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HierSQL: A Hierarchical Schema-Aware Encoder–Decoder Framework for Complex Natural Language to SQL Translation
Converting natural language queries into executable SQL statements commonly termed NL2SQL remains a fundamental challenge in the intersection of natural language processing and database systems. While transformer-based models have considerably advanced this field, three persistent bottlenecks…
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COMPREHENSIVE REVIEW OF INTRUSION DETECTION SYSTEMS FOR IOT AND IOMT: TECHNIQUES AND APPROACHES
The study provides a full review of Intrusion Detection Systems (IDS) that works in Internet of Things (IoT) and Internet of Medical Things (IoMT) environments. It discusses different approaches for intrusion detection and prevention such as machine learning, deep learning and hybrid approaches…
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LARGE LANGUAGE MODELS IN SCIENTIFIC RESEARCH WORKFLOWS: A SYSTEMATIC LITERATURE REVIEW OF APPLICATIONS, CHALLENGES, AND FUTURE DIRECTIONS
Background: Large language models (LLMs) are increasingly being used in scientific research workflows, including literature review, hypothesis formulation, manuscript generation, and peer review. Notwithstanding their swift adoption, concerns exist over epistemic reliability, transparency…
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STRENGTHENING AN EXTENSION PARTNER COMMUNITY'S DISASTER, RISK REDUCTION, AND MANAGEMENT PROGRAM THROUGH NETWORK ANALYSIS, AGILE METHODOLOGY, AND QGIS TOOLS
The study aims to establish improvements in the Barangay Disaster Risk Reduction and Management (BDRRM) of Happy Hollow Barangay in Baguio City, Philippines through Saint Louis University’s extension program activities in AY 2025-2026. Prior to the extension program, the barangay utilized an…
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A CNN–BiLSTM Hybrid Model for Email Phishing Detection
Email phishing is by far one of the most common and harmful cybersecurity risks that make use of misguided communication methods to breach sensitive user data. Phishing attacks keep changing, which greatly constrains the performance of conventional rule-based and classical machine-learning methods…
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Development of an Android-Based Production Process Documentation Application Using Kodular and Firebase in the Manufacturing Industry
Manufacturing firms are increasingly challenged by inadequately structured documentation of production processes. Such conditions intensify reliance on the tacit knowledge of specific individuals and risk disrupting operational continuity. This situation necessitates a digital solution capable of…
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Multiple Disease Prediction System using Machine Learning Algorithm
The advancement of machine learning techniques has significantly contributed to the development of intelligent healthcare applications that support disease prediction and clinical decision-making. This study presents a Multiple Disease Prediction System (MDPS) that predicts the likelihood of…
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THE IMPACT OF SMART LEARNING ON ENHANCING EFL STUDENTS’ SPEAKING SKILLS AT HEBRON UNIVERSITY
This study investigates the effect of smart learning tools on fostering the English-speaking skills of EFL students who are enrolled in the applied English programs at Hebron University. A one-group pretest-posttest design was used in this mixed-methods study to assess improvements in vocabulary…
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A SYSTEMATIC LITERATURE REVIEW ON EXISTING PHISHING EMAILS ATTACKS DETECTION USING CONVOLUTIONAL NEURAL NETWORKS (CNN) AND BI-LSTM TECHNIQUES
Phishing schemes have become more sophisticated, with the pretenders posing as reputable businesses and altering the URLs to acquire the attention of consumers. These tactics such as URL shortening, obfuscation, and targeting multimedia exploit more complicated mechanisms as the detection used in…
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AI-Driven Network Management and optimization
AI-Driven Network Management and Optimization refers to the use of Artificial Intelligence (AI) and Machine Learning (ML) techniques to monitor, control, and improve computer networks. This approach is transforming how network operations are performed in enterprises, telecom, cloud services, and…
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IMPROVING THE DATA MANAGEMENT SYSTEM OF A LOCAL GOVERNMENT UNIT IN BAGUIO CITY, PHILIPPINES THROUGH INFORMATION SYSTEMS SOLUTIONS: TOWARDS ENHANCED SUSTAINABLE PUBLIC SERVICE.
The study involved enhancing the data management system of a local government unit in Baguio City, Philippines, through the design, development, and implementation of two digital systems: the Barangay Resident Profile Management System (BREMS) and the Barangay Tracking and Recording of Accomplished…
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DEVELOPMENT AND VALIDATION OF TIWUS: A TERTIARY INSTITUTION WEBSITE USER SATISFACTION INSTRUMENT
Websites have become a critical tool of communication within and outside organisations. In tertiary educational establishments, websites are used to provide information to the public, process admission, course registration, and result processing, among several other uses. The intention to revisit…
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AI and Women's Leadership in Education A Systematic Literature Review With a Focus on the Palestinian Context
AI technologies offer the potential to transform educational leadership by enhancing decision-making and agency for women. It also offers the potential to streamline administrative tasks and enable predictive insights; this is why their integration often reflects and reinforces existing gender…
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ENHANCING BIOMETRIC ACCESS SECURITY IN PHARMACEUTICAL COMPANIES THROUGH CONTACTLESS MULTIMODAL FUSION: A PROPOSED MODEL FRAMEWORK AND SYSTEMATIC REVIEW
The recent advancements in contactless multimodal biometric fusion in respect to the pharmaceutical company’s secure access are discussed in the systematic review. The article proposed a new hybrid model framework for secure access. Recent articles that were published between the year 2020 to 2025…
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Intelligent hybrid intrusion detection systems for IoT-Cloud environments
The development of innovative mobile technologies with intelligent processes has made everything interconnected through the Internet of Things (IoT). Thus, cloud technology is considered the basis for IoT. Yet, in reality, numerous security challenges face these network advancements in the form of…
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ORTHOGONAL PERMUTATION SAMPLING FOR SHAPLEY VALUES: UNBIASED STRATIFIED ESTIMATORS WITH VARIANCE GUARANTEES
Shapley values for feature attribution suffer from high variance requiring thousands of model evaluations. We introduce Orthogonal Permutation Sampling (OPS), achieving provable variance reduction through: (i) exact position stratification, (ii) antithetic permutation coupling, and (iii) control…
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BLOCKCHAIN BEYOND TECHNOLOGY: EXPLORING APPLICATIONS, COLLABORATIVE INNOVATIONS, AND GOVERNANCE STRATEGIES
Blockchain is a new distributed computing paradigm characterized by security and trust, widely applied in various fields. However, security issues have become increasingly prominent, and the need for regulation is more urgent. The current state of the blockchain ecosystem and the regulatory policy…