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Revista Română de Informatică și Automatică
Scopus
ISSN 1220-1758 · ICI Publishing House · 319 artikel di indeks
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Artikel Jurnal Teks lengkap
A mobile computing platform for data and virtual machines migration between datacenters and private clouds: Design and use cases
This paper presents a mobile computing platform for secure data and virtual machine migration between different datacenters and private cloud environments. Traditional network-based methods are often constrained by bandwidth, connectivity, and security requirements, especially in isolated or…
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The relationship between service analytics and Artificial Intelligence in library ecosystems. Empirical evidence and findings from the SHIFT project
Building on conceptual advances in service analytics and the integration of Artificial Intelligence (AI) within library ecosystems, this paper proposes an empirical study that examines the relationship between service analytics and AI usage in libraries, considering this relationship as a defining…
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Enhancing threat intelligence analysis through Fuzzy C-Means Clustering: A novel approach for cybersecurity
This paper presents an experimental framework applying Fuzzy C-Means (FCM) clustering to improve cybersecurity threat intelligence analysis. Common clustering algorithms (e.g., k‑means, DBSCAN) enforce hard divisions that cannot represent the uncertainties and overlaps inherent in cyber threat…
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Evaluating the potential of LLMs as analysis-support tools in the prioritization of critical infrastructures threats
Critical infrastructure protection represents one of the greatest challenges of the past decade due to new cyber and physical threats, as well as those generated by climatic, geopolitical, or other forms of instability. This complex of threats can disrupt interconnected and complex systems, leading…
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Implementation of a novel technique for DNA sequence analysis using Machine Learning, Deep Learning and hybrid frameworks
Current research relies significantly on DNA sequencing. It enables the advancement of a wide range of disciplines, including genomics, metagenomics, and phylogeny. DNA sequencing involves extracting and interpreting DNA strands. In recent years, algorithms based on machine learning have been…
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RN-DRC: A relation network-based few-shot learning framework for Diabetic Retinopathy Detection and severity grading
Diabetic Retinopathy (DR) has become a leading cause of visual impairment and blindness globally, where early diagnosis and assessment of disease severity are important for providing timely clinical treatment. Traditional deep learning-based DR classification approaches commonly demand large…
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VR in environmental education: A feasibility study with high-school students
Virtual reality (VR) technology has become more common in engineering education. However, in most educational settings, there is still limited evidence regarding student acceptance of the technology and its educational advantages. This study examined how high-school students experienced their first…
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Drug decision support systems: A review of challenges, advances, and emerging trends
Background: The integration of Drug Decision Support Systems (DDSS) is a foundational element of modern medical practice designed to mitigate the global burden of adverse drug events. Driven by rapid advances in genomics, artificial intelligence (AI), and computational modeling, DDSS architectures…
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Bibliometric analysis of scientific publications on Artificial Intelligence in cybersecurity
This paper presents a bibliometric review of scientific publications indexed in the Web of Science databases that investigate the use of Artificial Intelligence (AI) in cybersecurity. The study aims to identify the most active authors in the field, the institutions funding research on AI…
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AI-Driven ScarecrowAgriBot framework for enhanced agricultural sustainability
Modern agriculture is significantly influenced by Machine Learning (ML), Deep Learning (DL), Internet of Things (IoT), and Cloud Computing. Particularly in soil health monitoring, crop assessment, nutrient management and surveillance. This paper analyses 164 peer-reviewed research papers published…
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Entertainment accessibility in smart cities: A computational perspective
This study explores how smart city strategies can improve access to cultural and entertainment events in Bucharest for young people aged 18–25, with a focus on marginalized groups. Using a mixedmethods approach, the research combines quantitative and qualitative data to find insight into barriers…
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Efficient image feature extraction using contrast information fractal dimension for hand sign recognition
Hand gesture recognition as the computer interpretation of human hand gestures used to assist people with disabilities. The texture-based feature descriptors of hand sign images do not have sufficient distinct features for recognition due to the change in geometric viewpoint and illumination…
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From command to symbiosis: Integration paradigms and conceptual frameworks for seamless multimodal Human-Robot Interaction
Human-Robot Interaction (HRI) is currently undergoing a paradigm shift from discrete commandbased control to seamless, symbiotic communication. However, achieving this symbiosis requires overcoming significant challenges in temporal alignment and computational efficiency, particularly when…
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Software defect prediction at file level: A hybrid deep learning approach combining source code metrics and semantic features
The necessity for trustworthy Software Defect Prediction (SDP) models is highlighted by the increasing complexity of contemporary software systems. These models facilitate the effective use of scarce testing resources by early detection of potentially defective modules. Although deep learning has…
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AI-enhanced social engineering: Emerging threats and human-centric countermeasures
Social engineering is an attack that leverages human decision-making with the purpose of gaining access to information or causing specific actions, rather than exploiting software vulnerabilities. Modern advancements in Artificial Intelligence (AI) have enabled automated target profiling, tailored…
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Fundamentals for developing an IoT System for monitoring soldiers’ nonverbal communication during training and mental preparation for combat
This article aims to contribute as a preliminary research effort, providing a justification framework for the configuration of an Internet of Things (IoT) network designed to monitor the nonverbal communication behaviour of soldiers during training and mental preparation for the battlefield. Based…
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Accelerating intelligent vehicle vision: A hybrid Python-Rust architecture with partial-blocking inter-process communication
Modern autonomous systems require high-throughput, reliable vision pipelines with real-time guarantees. This paper presents a hybrid Python-Rust architecture that leverages synchronized shared memory and introduces a novel partial-blocking inter-process communication (IPC) model to decouple…
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Hybrid Autoregressive Integrated Moving Average and Long Short-Term Memory model for stock index prediction based on advisor recommendations
As per capita incomes rise, more investors engage in high-risk, high-return stock investments. Market uncertainties significantly affect investor outcomes, making accurate stock price forecasting critically important. This study proposes a hybrid forecasting model combining Autoregressive…
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A theoretical model for understanding user experience in mobile application interaction
Over the past decade, the global spread of mobile devices and specific applications have boosted the interest in user experience (UX) evaluation. Most existing models, designed for stable systems, do not fully address the fragmented, variable, and routine-embedded nature of mobile interactions. To…
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Predictor-based event-triggered control for nonlinear cyber-physical systems under channel-induced delay
This article addresses the issue of designing a predictor-based event-triggered control strategy for cyber physical systems with channel induced delay over the controller – actuator portion of the communication channel. To deal with the conservatism posed on the system performance and stability by…