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Open Computer Science
Scopus
ISSN 2299-1093 · De Gruyter · 400 artikel di indeks
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Artikel Jurnal
Implicit relationship multi granularity coupled graph neural network algorithm for new media content recommendation
To alleviate information overload and improve the accuracy and personalization of new media content recommendations, a hidden relationship, multi-granularity, coupled graph neural network algorithm are proposed for new media content recommendations. Based on an in-depth exploration of the implicit…
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Artikel Jurnal
Centralized pre-training with aggregation-free distributed simulation for privacy-preserving IoT intrusion detection
This paper proposes Centralized Pre-training with Aggregation-Free Distributed Simulation for Privacy-Preserving IoT Intrusion Detection, a framework designed for residential smart home IoT networks. It utilizes centralized pre-training followed by an aggregation-free distributed simulation via…
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Artikel Jurnal
Design of Chinese pronunciation correction education game based on improved twin network pronunciation algorithm
Against the backdrop of China’s rising international standing, enthusiasm for Chinese language learning among people across the globe has been continuously surging. To lower the barriers to Chinese learning, this paper proposes a Chinese education game with pronunciation correction functionality…
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Cost-optimized hybrid VNF deployment in edge-cloud collaborative systems via LSTM-enhanced actor-critic learning
Edge cloud collaborative systems face critical challenges in deploying virtual network functions with dynamic adaptability and cost efficiency due to the heterogeneity of Virtual Machine-Virtual Network Function (VM-VNF) and Container Technology-Virtual Network Function (CT-VNF) resources and high…
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Spatio-temporal aware graph neural network-based load balancing for electronic data correlation analysis
Driven by the rapid evolution of digital infrastructure, the exponential growth of network traffic poses severe load-balancing challenges to electronic flow-correlation systems characterized by strong spatio-temporal coupling and flash-crowd dynamics. Traditional “sense-then-react” algorithms based…
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Artikel Jurnal
A retrieval-augmented educational AI system with confidence boundary detection for master’s thesis type classification
Guidelines for professional degree theses require automatically generated feedback that is both linguistically accurate and consistent with program-specific structural, methodological, and regulatory requirements. This study developed a retrieval-augmented educational artificial intelligence system…
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Artikel Jurnal
Highway construction progress monitoring based on UAV remote sensing images and feature space
Highway construction projects, characterized by large investments, extended durations, and scattered work sites, require accurate and dynamic progress monitoring to ensure cost control and safe execution. Traditional manual inspection methods suffer from inefficiency, data latency, and…
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Artikel Jurnal
Digital protection and virtual restoration of cultural relics based on multimodal data
To address issues such as information loss and insufficient restoration accuracy in the process of cultural relic protection and restoration, this study proposes a digital protection and virtual restoration method for cultural relics that integrates multimodal data, aiming to enhance the…
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Numerical framework and stability analysis of the Gray-Scott model
Turing models of pattern formation provide insight into an intriguing question in developmental biology, like how nature exhibits various structures, shapes, and organized patterns. These natural patterns include the pattern and texture on a desert dune, spots and stripes on the skin of various…
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Artikel Jurnal
Digital media image editing algorithm based on image generation and manual interaction
In the rapidly developing digital media era of artificial intelligence, image editing technology has become the core support for digital content creation and information transmission. However, existing image editing technologies still face key challenges such as unstable generation quality, low…
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Artikel Jurnal
Validation-based evaluation of Decision Tree ensembles for financial time-series forecasting: the role of window size and ensemble size
This study investigates the influence of input window size and ensemble size on the forecasting performance of Decision Tree-based ensemble methods in one-step-ahead financial return prediction. Nineteen financial instruments spanning stocks, indices, commodities, and cryptocurrencies are evaluated…
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Artikel Jurnal
Cryptography model design with artificial intelligence and performance evaluation
The growth of digital business and communication systems has brought about an increase in risks. As the digital world expands, so does the use of its components. Trillions of transactions occur online every hour, making safety crucial when exchanging data over a public communication channel…
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Artikel Jurnal
Mercer-compliant kernels in machine learning: comprehensive theoretical analysis and empirical validation
This paper presents a rigorous investigation of Mercer-compliant kernels through both theoretical analysis and extensive empirical validation. We present a unified theoretical analysis of Mercer’s condition across six fundamental kernel classes, including radial basis function (RBF), Matérn (ν =…
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Artikel Jurnal
Medical-data classification system using AI-based ensemble learning methods
This study proposes a classification system for medical data. In the classification, we have three contributions. First, we use AI-based ensemble learning methods to two kind of data, eye image and CTG signal. The eye data is obtained from an university hospital and the CTG data is provided by UC…
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Artikel Jurnal
Improved MOPSO based on classification strategy and internal flow analysis in the optimization design of green building pipeline pumps
This study solves the low efficiency of green building pipeline pumps by introducing a multi-objective particle swarm optimization algorithm that integrates classification strategy and internal flow analysis. Enhanced through neural networks and update strategies, the algorithm demonstrates…
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Artikel Jurnal
Basketball motion recognition method based on DBSCAN trajectory segmental clustering
In basketball motion recognition, there are problems such as difficulty in obtaining high-quality action data, difficulty in coping with poor discrimination accuracy due to scene factors such as movement of athletes, occlusion of equipment, and interference of spectators. Aiming at these problems…
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Artikel Jurnal
Fine-tuning Whisper model for end-to-end Kannada to English speech transcription
Building reliable automatic speech recognition (ASR) systems for low-resource languages such as Kannada is challenging due to the scarcity of training data and the cross-lingual translation requirements. This study investigates fine-tuning Whisper models – Tiny, Small, and Medium – to achieve…
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Artikel Jurnal
Multi-class weed detection based on deep learning using unmanned aerial vehicle images in potato fields
Early weed detection is a critical task in precision agriculture, as weeds compete with crops for resources and significantly reduce yield and quality. This study proposes a multi-class weed detection approach based on deep learning using unmanned aerial vehicle (UAV) images acquired in real potato…
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Artikel Jurnal
Multi-view clustering hierarchical block feature matching algorithm for ancient cultural architecture
With the acceleration of urbanization, the protection and restoration of ancient cultural buildings have become more important. To enhance the efficiency and accuracy of digital protection of ancient buildings, this study proposes a multi-view clustering, layered, and block-based feature matching…
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Artikel Jurnal
Fusion of DWA algorithm and improved Bi RRT obstacle avoidance path planning method in dynamic obstacle environments
Aiming at the problem that path planning in dynamic obstacle environments is difficult to balance global optimality and local real-time performance, a collision avoidance path planning method is proposed by integrating improved bidirectional fast expanding random tree (Bi RRT) and dynamic window…