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Journal of Universal Computer Science
Scopus
ISSN 0948-6968 · Graz University of Technology · 633 articles in the index
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A Robust Lossless Data Compression Technique for Air Quality Time-Series Data using Genetic Algorithm
Due to the advancement of industrialization and urbanization, air pollution become a serious issue in recent decades. To get rid of this problem Air Quality Monitoring Stations (AQMSs) are established that can asses the air quality and provide some measures to control it. These AQMSs capture the…
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Optimization of Predicting Harvested Power of Toroidal Electromagnetic Energy Harvesters Using ABC Algorithm
Energy harvesting is an effective solution, especially in scenarios with low power requirements, using sources such as magnetic fields, vibrations, and wind. This study focuses on predicting harvested power of toroidal electromagnetic energy harvesters using various machine learning methods…
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ESA: An Enhanced Sequential Algorithm-Based Model for Smart Contract Vulnerability Detection
The current security problem of smart contracts is becoming a common concern for researchers and developers. Existing smart contract vulnerability detection methods rely heavily on fixed expert rules, resulting in low detection accuracy. In order to cope with complex and changing smart contract…
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CBM-IDS: An Advanced Hybrid Deep Learning Model for DDoS Attack Detection in IoT Networks
The rapid expansion of IoT devices has transformed industries while simultaneously introducing critical security vulnerabilities, particularly Distributed Denial-of-Service (DDoS) attacks that exploit the constrained resources of IoT systems. To address this challenge, a novel intrusion detection…
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A Visual Approach for Health Information Exploration: Adaptive Levels of Visual Granularity and Interaction Analysis
The effective and targeted provision of health information to consumers, specifically tailored to their needs and preferences, is indispensable in healthcare. With access to appropriate health information and adequate understanding, consumers are more likely to make informed and healthy decisions…
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RatKit: A Novel Methodology for Verifying, Validating, and Testing Agent-Based Simulations: the Boids Case
This study introduces a novel methodology and framework for the verification, validation, and testing of agent-based simulation models: RatKit. Building on repeatable automated testing in ABMS, the present contribution significantly extends the foundation by proposing an integrated metamodel and…
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Editorial
Dear Readers,First of all, I would like to wish you all the best for the New Year! It is with great pleasure that I welcome you to our first regular issue in 2026.Looking back on the past year, we have further increased our visibility and taken steps to fully comply with the Diamond Open Content…
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Distributed Denial of Service Attacks Detection and Classification using Machine Learning in Cloud Environment
The rapid adoption of cloud computing has revolutionized how businesses and consumers access and utilize resources, offering scalability, flexibility, and cost effectiveness. However, this increased reliance on cloud services has also led to a rise in Distributed Denial of Service (DDoS) attacks…
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A Blockchain-Enabled Framework for Controlled Access to Cluster Resources
Purpose: Big data applications enable organizations to derive actionable insights that inform strategic decision making and enhance operational efficiency in real time. Hadoop’s architecture features a distributed file system that stores voluminous data across multiple machines within a…
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OntoKratos: An Ontology for Problematic Smartphone Use Identification and Intervention Suggestion
Smartphone use has increased globally and has become essential in daily life. Although benefits exist, concerns arise about the negative effects of prolonged hyperconnectivity. The excessive use of smartphones combined with demographic and mental health related risk factors can lead to problematic…
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JobMatcher: Multi-Layer Personalized and Inclusive Job Recommendations
Job recommendation systems play a critical role in matching individuals with relevant career opportunities based on their skills and experiences. However, many existing systems struggle to balance precision and contextual relevance, leading to mismatches in job recommendations. In this paper we…
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Comparative Analysis of Interpolation Techniques for FFT-Based Frequency Estimation
Fast Fourier transform (FFT) is a widely used method for frequency estimation in electronic support systems. However, when the intermediate frequency (IF) of the radar signal is not an exact multiple of the FFT resolution, the correct frequency value cannot be obtained in the FFT computation…
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Steganography in the QUIC Communication Protocol
Network steganography has existed for several decades and it uses network traffic and network protocols as carriers for embedding secret messages in a stealthy manner. Quick UDP Internet Connections (QUIC) is a novel secure and reliable transport layer network protocol that is encapsulated in the…
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Editorial
Dear Readers,It gives me great pleasure to announce the second regular issue of 2026. I would like to thank all the authors for their sound research and the editorial board and guest reviewers for the extremely valuable reviews and suggestions for improvement. These contributions together with the…
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Integrated Analysis Of Multi-Source Satellite Data Via Deep Learning For Predicting Lake Water Level Dynamics
Accurately monitoring lake water levels is critical for identifying potential hazards and developing sustainable water management strategies. While previous studies have primarily relied on single-source satellite data or traditional indices, this study enhances existing approaches by integrating…
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Providing OntoObject-Z with Meta-schemas to Structure Specifications of Large Ontologies: A Case Study with Local Area Networks
The objective of this paper is threefold. First, we provide OntoObject-Z with meta-schemas that serve as a means to assist in structuring large ontologies ([Figueiredo, 18], [Shimizu, 23]) that support the specification of complex problem domains such as computer networks and their…
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Energy Prediction Based on Periodic Mechanical Impact in PVDF-Based Piezoelectric Energy Harvesting: A Comparative Analysis of Machine Learning Models
In this study, an experimental setup was established to measure the energy that can be harvested depending on the frequency of periodic mechanical pulses using Polyvinylidene Fluoride (PVDF) piezoelectric material. The measured data were employed in Artificial Neural Network (ANN), K-Nearest…
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Feature-Refinement Classification Head (FCH) for Modeling Inter-Sample Relationships in Neural Networks
Conventional classification methods rely on the assumption that samples are independent and identically distributed, often ignoring the latent relational structures governing real-world data. Consequently, these methods fail to capture cross-sample dependencies, resulting in impoverished feature…
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A Citation Recommendation Algorithm Based on SciBERT and a Temporal-Aware Graph Attention Network
Citation recommendation plays a critical role in scholarly information retrieval by assisting researchers in identifying relevant and influential literature. Existing approaches typically rely on either textual semantic modeling or graph-based citation analysis, but often fail to jointly capture…
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A Fragmented Field: A Systematic Literature Review on Conceptual Compatibility in Multilingual Software Systems
The contemporary software engineering landscape is characterized by polyglot programming, a practice that, while powerful, introduces significant interoperability challenges. Despite a wealth of technical solutions, a fundamental gap persists: the lack of formal, quantitative metrics to assess…