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Frontiers in Computer Science
Scopus
ISSN 2624-9898 · Frontiers Media S.A. · 1.192 artikel di indeks
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Artikel Jurnal
Security of drivers in intelligent transportation systems: privacy-preserving federated transfer learning for driver drowsiness detection
Driver drowsiness is a serious concern for road safety within intelligent transportation systems, and it can undermine the safety and dependability of critical transport infrastructure. As modern vehicles become more connected and data-focused, centralized learning systems that share driver and…
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Artikel Jurnal
Large language models and AI-driven virtual laboratory for FrED and FrED factory: materials, products, and sustainable digital manufacturing
Developing new products requires innovative materials and advanced manufacturing methods. Consequently, establishing specialized laboratories capable of producing new products or enhancing manufacturing processes has become essential. Additionally, the complexity of product design, which involves…
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Artikel Jurnal
The consciousness spectrum: the emergent nature of purpose, memory, and adaptive response across organisms, humans, and technological beings
This paper posits a cross-disciplinary framework for conceptualizing consciousness as an emergent phenomenon that transcends conventional biological constraints. By integrating theoretical constructs from biology, artificial intelligence, philosophy, and systems theory, it critically examines…
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Artikel Jurnal
Evaluating tutorial and conversational agent methods for Dark Souls—The Board Game with an LLM-enhanced agent extension
This study evaluates the effectiveness of two tutoring approaches: a rule-based conversational agent (SoulsBot) and a traditional handholding tutorial, in teaching players the core mechanics of a mini-boss encounter in Dark Souls—The Board Game. Findings from a mixed-methods user study (n = 16)…
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Artikel Jurnal
Adaptive self-attention for enhanced segmentation of adult gliomas in multi-modal MRI
Every year there are an estimated 80,000–90,000 new glioma cases, highlighting the need for reliable imaging-based decision support. Although deep learning has improved tumor sub-region segmentation, many state-of-the-art models fail to fully capture complementary information across T1, T1Gd, T2…
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Artikel Jurnal
AI and the digital divide in education
Artificial intelligence (AI) is an indispensable tool transforming education systems worldwide. It does so through its complex intelligent tutoring system and automated administrative operations managed by prompts. While AI seems to make it easy for learning or education to take place easily, it…
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Artikel Jurnal
Whole-value analysis by abstract interpretation
Value analysis is the task of understanding what concrete values a program might compute for each variable or memory region. Historically, research focused mostly on numerical analysis (i.e., value analysis of programs manipulating numeric values), while string analyses have received wider…
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Artikel Jurnal
Federated deep learning for privacy-preserving disease detection in IoT-enabled healthcare systems
AbstractThis research addresses the burgeoning tension between the predictive power of artificial intelligence and the imperative of data sovereignty in healthcare. By proposing a privacy-preserving Federated Deep Learning (FDL) framework, this study develops a decentralized paradigm for early…
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Artikel Jurnal
Artificial intelligence in educational assignments: issues of academic integrity
BackgroundThis article examines the challenges associated with students’ use of artificial intelligence (AI)-based software tools in the educational process. Advances in information technology enable the automatic generation of new content of various types (text, graphics, and audio) without direct…
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Artikel Jurnal
Hardware and software system for adaptive precision agriculture management within the consolidation of modern agrotechnologies in the crop production sector of the Kyrgyz Republic
BackgroundKyrgyzstan’s economy depends on agriculture. Of strategic importance are the natural conditions that form various ecosystems in different regions. The article highlights the problems that can be addressed by developing a unified software and hardware complex that ensures the fulfillment…
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Artikel Jurnal
Machine learning-based early incident detection system in a bakery plant’s industrial network: a cognitive model for counteracting hybrid threats
IntroductionIn the context of growing cyber risks to critical industries, including bakery complexes, this paper proposes a cognitive architecture for early incident detection in the operational technology (OT) network.MethodsThe architecture integrates User and Entity Behavior Analytics (UEBA), a…
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Artikel Jurnal
Relational fairness by design: rebalancing roles in Korea’s public food-delivery platforms
IntroductionDigital platforms built on inherited transactional designs often fail on relational dimensions. To diagnose these structural failures, this study uses Korea’s state-led public food-delivery platforms as a critical case, as they uniquely expose tensions between a public mission and a…
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Artikel Jurnal
Semantic foundations for digital twins: the contribution of ontological analysis
Digital Twins (DTs) are revolutionizing industries by enabling real-time simulations, data-driven decision-making, and enhanced operational efficiency. However, their integration and scalability remain challenging due to the complexity of multi-domain systems, heterogeneous data sources, and…
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Artikel Jurnal
Single-item training for multi-dish recognition: a class-agnostic framework for Indian food platters
Accurate dietary assessment is increasingly dependent on automated food recognition systems capable of operating effectively in real-world environments. While most vision-based models perform well on single-item datasets, their performance degrades significantly in complex multi-dish settings. This…
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Artikel Jurnal
RoLLMRec: a robust LLM-based recommender system for defending against shilling and prompt injection attacks
Large Language Models (LLMs) are increasingly being integrated into recommender systems, offering contextual reasoning, cross-domain adaptability, and natural language interaction. However, their adoption also introduces vulnerabilities such as prompt injection, semantic poisoning, and shilling…
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