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Journal of Computing and Information Technology
Scopus
ISSN 1846-3908 · University of Zagreb Faculty of Electrical Engineering and Computing · 118 artikel di indeks
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Artikel Jurnal
A Lightweight Spatiotemporal Saliency Detection Framework for VR Panoramic Dynamic Scenes
Saliency detection in virtual reality (VR) panoramic dynamic scenes faces two major challenges: geometric distortion caused by equirectangular projection (ERP) and the high computational cost of modeling long-term temporal dependencies. To address these issues, we propose TAD-Net, a lightweight…
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Artikel Jurnal
A SARSA-Driven Cyber-Physical Risk Modeling Framework for Cloud-Based CBTC Systems
After the communication-based train control system is migrated to a cloud computing environment, it will face new and complex security risks caused by the deep coupling characteristics of cyber-physics. To this end, based on complex network, fault tree analysis, and attack graph theory, the…
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Artikel Jurnal
VICBO – An Ontology-Enhanced Blockchain for Efficient and Adaptive Vehicle Insurance Claim Management
Vehicle insurance systems face ongoing challenges related to transparency, fraud prevention and the efficient handling of claims, particularly in contexts involving jurisdictional variability and diverse documentation requirements. This paper introduces VICBO (Vehicle Insurance Claim based on…
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A Dynamic Multi-objective Optimization Algorithm for Black-Box Optimization in Dynamic Irregular Environment
This paper proposes a novel initial population prediction algorithm (IPPA) for solving irregular black-box dynamic multi-objective optimization problems. In the phase of environmental change detection, IPPA find representative solutions based on a clustering algorithm and form environment vector to…
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Artikel Jurnal
Editorial for Vol.34, No.1
The March 2026 (Vol. 34, No. 1) issue of CIT. Journal of Computing and Information Technology brings four papers from the areas of optimization, ontologies, cyber-physical systems modeling, and virtual reality.
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Artikel Jurnal
Lifecycle Prediction for Tobacco Products Using IGWO-Optimized CNN-GRU Network
Accurate prediction of product lifecycle stages is crucial for enhancing inventory turnover and strategic planning in the tobacco industry. This paper proposes an intelligent prediction model that integrates Convolutional Neural Networks (CNN) and Gated Recurrent Units (GRU), further optimized by…
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Artikel Jurnal
Digit Recognition Method Based on Discrete Hopfield Neural Network Optimized by Artificial Fish Swarm Algorithm
To solve the problems that the weights and thresholds of discrete Hopfield neural networks are easy to fall into local optima and have insufficient anti-noise ability in digit recognition, a digit recognition method based on discrete Hopfield neural network is proposed, which is optimized by fish…
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Artikel Jurnal
A Lightweight Real-time Fire Detection Framework for IoT Devices Utilizing Fine-tuned YOLOv10 and Accelerator Module
This paper presents a novel real-time fire detection framework tailored for IoT devices by integrating the fine-tuned YOLOv10 model with the Accelerator module. Trained on the FireSmokeDataset (Roboflow) and an additional dataset we collected via Roboflow, the system covers fire, smoke, and…
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Artikel Jurnal
Network Information Processing Analysis Based on Big Data Parallel Graph Partitioning Algorithm
This research proposes an efficient parallel graph partitioning algorithm for the big data environment, aiming to solve the bottlenecks of traditional clustering techniques in terms of processing speed and scalability. The algorithm adopts a multi-level graph partitioning framework, decomposing the…
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Artikel Jurnal
Editorial for Vol.33, No.3
The September 2025 (Vol. 33, No. 3) issue of CIT. Journal of Computing and Information Technology brings four papers from the areas of graph data processing, computer vision, and business intelligence.
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Artikel Jurnal
Temporal-Aware Neural Networks for Balancing Dynamic Preferences and Long-Term Interests in Recommendation Systems
Recommendation systems face the challenge of balancing dynamic short-term preferences with stable long-term interests to deliver personalized and timely recommendations. Traditional methods often treat these aspects separately, leading to suboptimal integration and limited adaptability to evolving…
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Artikel Jurnal
EEG Signal Classification Using Bayesian-Optimized Neural Networks in IoMT Systems
The Internet of Medical Things (IoMT) consists of interconnected devices and applications that enable real-time collection, transmission, and analysis of medical data for healthcare applications. This study utilizes medical data from the publicly available BCICIV2a dataset rather than data…
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3D Facial Modeling Based on Multi-scale Feature Fusion and Lighting Robustness
Facial 3D modeling technology is widely used and has become an important research direction in the fields of artificial intelligence and computer vision. However, the modeling accuracy and robustness of existing technologies in dealing with weak texture areas and complex lighting conditions are…
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A Hybrid CNN-LSTM Framework with Federated Learning for Enhanced Power Grid Intrusion Detection
To address the issues of data silos, low detection accuracy, and insufficient generalization ability in traditional methods for power grid intrusion diagnosis, this study proposes the use of federated learning to construct a power grid intrusion diagnosis model and incorporates convolutional neural…
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Artikel Jurnal
Editorial for Vol.33, No.2
The June 2025 (Vol. 33, No. 2) issue of CIT. Journal of Computing and Information Technology brings four papers from the areas of network security, 3D modeling, brain-computer interaction, and recommendation systems.
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Artikel Jurnal
Automated Machine Learning and Data-Driven Decision Support System for Strategy Management in Organizational Activities
In modern organizational activities, the increasing complexity and dynamism of strategy management have rendered traditional static analysis and experience- based decision-making methods inadequate for meeting the rapidly changing market demands and intricate internal processes. To address these…
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Artikel Jurnal
Characteristic Representation of Stock Time Series Data Based on Trend Extreme Points of K-line Combinations
The study of stock time series has been an important area of research in economics, finance, and management. Time series feature representation serves as the primary approach for studying time series. The K-line chart is a common representation of stock time series data. This study proposes a…
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Artikel Jurnal
Grid Data Analysis and Load Forecasting Model Based on Federated Learning Technology and LSTM Algorithm
With the continuous improvement of the national economy, the development of power enterprises is gradually accelerating, and the popularity of smart grids is also increasing. The power grid data center contains a large amount of user data, and analyzing this data can help power companies predict…
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Artikel Jurnal
A Continuous Authentication Model Based on Improved Flower Pollination Algorithm and Extreme Gradient Boosting
The zero trust systems help to improve the overall security of computer networks, while one of the main challenges of zero trust systems is the construction and optimization of continuous authentication models. Aiming at the shortcomings of the existing authentication performance, this paper…
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Artikel Jurnal
Editorial for Vol.33, No.1
The March 2025 issue brings four papers from the areas of information security, power load forecasting, time series analysis, and decision support systems.