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Computers
Scopus
ISSN 2073-431X · MDPI AG · 2,526 articles in the index
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Decision Making in Wood Supply Chain Operations Using Simulation-Based Many-Objective Optimization for Enhancing Delivery Performance and Robustness
Wood supply chains are complex, involving many stakeholders, intricate processes, and logistical challenges to ensure the timely and accurate delivery of wood products to customers. Weather-related variations in forest road accessibility further complicate operations. This paper explores the…
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Systematic Review of Quantization-Optimized Lightweight Transformer Architectures for Real-Time Fruit Ripeness Detection on Edge Devices
Real-time visual inference on resource-constrained hardware remains a core challenge for edge computing and embedded artificial intelligence systems. Recent deep learning architectures, particularly Vision Transformers (ViTs) and Detection Transformers (DETRs), achieve high detection accuracy but…
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Fast Computation for Square Matrix Factorization
In this work, we discuss a method for the QR-factorization of N×N matrices where N≥3 which is based on transformations which are called discrete signal-induced heap transformations (DsiHTs). These transformations are generated by given signals and can be composed by elementary rotations. The data…
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Videogame Programming & Education: Enhancing Programming Skills Through Unity Visual Scripting
Videogames (VGs) are highly attractive for children and young people. Although videogames were once viewed mainly as sources of distraction and leisure, they are now widely recognised as powerful tools for competence development across diverse domains. Designing and implementing a videogame is even…
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A Lightweight Edge-AI System for Disease Detection and Three-Level Leaf Spot Severity Assessment in Strawberry Using YOLOv10n and MobileViT-S
Mobile edge-AI plant monitoring systems enable automated disease control in greenhouses and open fields, reducing dependence on manual inspection and the variability of visual diagnostics. This paper proposes a lightweight two-stage edge-AI system for strawberries, in which a YOLOv10n detector on…
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Exploring Slow Responses in International Large-Scale Assessments Using Sequential Process Analysis
Slow responding in International Large-Scale Assessments (ILSAs) has received far less attention than rapid guessing, despite its potential to reveal heterogeneous response processes. Unlike disengaged rapid responders, slow responders may differ in time management, off-task behavior, or specific…
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A Business-Oriented Approach to Automated Threat Analysis for Large-Scale Infrastructure Systems
Security design for large-scale infrastructure systems requires substantial effort and often causes development delays. In line with NIST guidance, such systems should consider security design throughout a system development lifecycle. Nevertheless, performing security design in early phases of the…
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Low-Latency Autonomous Surveillance in Defense Environments: A Hybrid RTSP-WebRTC Architecture with YOLOv11
This article presents the Intelligent Monitoring System (IMS), an AI-assisted, low-latency surveillance platform designed for defense environments. The study addresses the need for real-time autonomous situational awareness by integrating high-speed video transmission with advanced computer vision…
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The Integration of ISO 27005 and NIST SP 800-30 for Security Operation Center (SOC) Framework Effectiveness in the Non-Bank Financial Industry
A Security Operation Center (SOC) is a security control center for monitoring, detecting, analyzing, and responding to cybersecurity threats. PT (Perseroan Terbatas) Non-Bank Financial Company (NBFC) has implemented an SOC to secure its information systems, but challenges remain to be solved. These…
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Comparing Emerging and Hybrid Quantum–Kolmogorov Architectures for Image Classification
The rapid evolution of Artificial Intelligence has enabled significant progress in image classification, with emerging approaches extending traditional deep learning paradigms. This article presents an extended version of a paper originally introduced at ICCSA 2025, providing a broader comparative…
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Using Steganography and Artificial Neural Network for Data Forensic Validation and Counter Image Deepfakes
The merging of the Internet of Things (IoT) and Artificial Intelligence (AI) advances has intensified challenges related to data authenticity and security. These advancements necessitate a multi-layered security approach to ensure the security, reliability, and integrity of critical infrastructure…
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SteadyEval: Robust LLM Exam Graders via Adversarial Training and Distillation
Large language models (LLMs) are increasingly used as rubric-guided graders for short-answer exams, but their decisions can be unstable across prompts and vulnerable to answer-side prompt injection. In this paper, we study SteadyEval, a guardrailed exam-grading pipeline in which an adversarially…
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AI-Based Emoji Recommendation for Early Childhood Education Using Deep Learning Techniques
The integration of emojis into Early Childhood Education (ECE) presents a promising avenue for enhancing student engagement, emotional expression, and comprehension. While prior studies suggest the benefit of visual aids in learning, systematic frameworks for pedagogically aligned emoji…
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IDN-MOTSCC: Integration of Deep Neural Network with Hybrid Meta-Heuristic Model for Multi-Objective Task Scheduling in Cloud Computing
Cloud computing covers a wide range of practical applications and diverse domains, yet resource scheduling and task scheduling remain significant challenges. To address this, different task scheduling algorithms are implemented across various computing systems to allocate tasks to machines, thereby…
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An Open-Source System for Public Transport Route Data Curation Using OpenTripPlanner in Australia
Access to large-scale public transport journey data is essential for analysing accessibility, equity, and urban mobility. Although digital platforms such as Google Maps provide detailed routing for individual users, their licensing and access restrictions prevent systematic data extraction for…
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Implementing Learning Analytics in Education: Enhancing Actionability and Adoption
The broader aim of this research is to examine how Learning Analytics (LA) can become ethically sound, pedagogically actionable, and realistically adopted in educational practice. To address this overarching challenge, the study investigates three interrelated research questions: ethics by design…
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Learning Complementary Representations for Targeted Multimodal Sentiment Analysis
Targeted multimodal sentiment classification is frequently impeded by the semantic sparsity of social media content, where text is brief and context is implicit. Traditional methods that rely on direct concatenation of textual and visual features often fail to resolve the ambiguity of specific…
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Artificial Intelligence in K-12 Education: A Systematic Review of Teachers’ Professional Development Needs for AI Integration
Artificial intelligence (AI) is reshaping how learning environments are designed and experienced, offering new possibilities for personalization, creativity, and immersive engagement. This systematic review synthesizes 43 empirical studies (Scopus, Web of Science) to examine the training needs and…
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Integrating ESP32-Based IoT Architectures and Cloud Visualization to Foster Data Literacy in Early Engineering Education
This study presents the design and implementation of a full-stack IoT ecosystem based on ESP32 microcontrollers and web-based visualization dashboards to support scientific reasoning in first-year engineering students. The proposed architecture integrates a four-layer model—perception, network…
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Stereo-Based Single-Shot Hand-to-Eye Calibration for Robot Arms
Robot hand-to-eye calibration is a necessary process for a robot arm to perceive and interact with its environment. Past approaches required collecting multiple images using a calibration board placed at different locations relative to the robot. When the robot or camera is displaced from its…
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