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Frontiers - Computer Science @FrontComputSci

Research and updates from all @FrontiersIn journals in the field of computer science. #openaccess

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Follow along for the latest research, updates and news from all @FrontiersIn journals in the field of computer science đź‘€
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New Research: AI spring and its regulation discourse: a bibliometric study of trends in literature frontiersin.org/articles/10.… #FrontiersIn #ArtificialIntelligence

Frontiers | AI spring and its regulation discourse: a bibliometric study of trends in literature

IntroductionThis study was prompted by the rapid acceleration of AI capabilities in the trans former era since 2018 and the concurrent regulatory shift that ...

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New Research: Neuro-symbolic reasoning engine for tax optimisation frontiersin.org/articles/10.… #FrontiersIn #ArtificialIntelligence

Frontiers | Neuro-symbolic reasoning engine for tax optimisation

Automating tax calculations and optimisation is challenging because modern AI systems such as large language models operate probabilistically, while legal an...

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New Research: Interoperability with DLT for an effective e-governance strategy—current trends frontiersin.org/articles/10.… #FrontiersIn #Blockchain

Frontiers | Interoperability with DLT for an effective e-governance strategy—current trends

Distributed ledger technology (DLT) has emerged as a transformative force in decentralized data management across e-transactions, with significant applicatio...

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New Research: From testbeds to high-stakes work: a review of Human-AI teaming domains and teaming factors frontiersin.org/articles/10.… #FrontiersIn #RoboticsAI

Frontiers | From testbeds to high-stakes work: a review of Human-AI teaming domains and teaming...

IntroductionHuman-AI teaming is increasingly being studied in applied and high-stakes settings, yet the evidence remains dispersed across domains, constructs...

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New Research: Bridging theory and practice: assessing virtual reality for complex radiotherapy training frontiersin.org/articles/10.… #FrontiersIn #VirtualReality

Frontiers | Bridging theory and practice: assessing virtual reality for complex radiotherapy...

IntroductionVirtual reality (VR) provides immersive environments that can enhance technical skills in medical education. In radiotherapy (RT), where precisio...

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New Research: A methodological framework and experimental protocol for proactive human–robot collaboration with multimodal intention prediction and adaptive control frontiersin.org/articles/10.… #FrontiersIn #RoboticsAI

Frontiers | A methodological framework and experimental protocol for proactive human–robot collab...

Industry 5.0 requires collaborative robots that can anticipate operator needs to improve fluency and safety in assembly. However, many human–robot collaborat...

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New Research: Enhanced Dynamic Window Approach for socially compliant robot navigation frontiersin.org/articles/10.… #FrontiersIn #RoboticsAI

Frontiers | Enhanced Dynamic Window Approach for socially compliant robot navigation

While contemporary deep learning methods are frequently computationally costly, traditional local planners like the Dynamic Window Approach (DWA) are essenti...

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New Research: When news is “written by artificial intelligence”: a systematic review of provenance and disclosure cues in journalism and their effects on credibility and trust frontiersin.org/articles/10.… #FrontiersIn #ArtificialIntelligence

Frontiers | When news is “written by artificial intelligence”: a systematic review of provenance...

IntroductionArtificial intelligence (AI) is increasingly embedded in journalism, yet audience responses may depend on both AI provenance, meaning who or what...

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New Research: Adaptive emotion-aware chatbot for mental health diagnosis using recurrent reinforcement learning and transformer models frontiersin.org/articles/10.… #FrontiersIn #ArtificialIntelligence

Frontiers | Adaptive emotion-aware chatbot for mental health diagnosis using recurrent reinforcem...

In the busy and stressful modern world, people tend to disregard mental health, still it is an important factor of overall health. The constant pressure to a...

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New Research: ExplainTS: a benchmark dataset of pretrained models and post-hoc explanations for time-series classification frontiersin.org/articles/10.… #FrontiersIn #ArtificialIntelligence

Frontiers | ExplainTS: a benchmark dataset of pretrained models and post-hoc explanations for...

Reproducibility in machine learning (ML) traditionally relies on shared datasets and fixed train-test splits. However, evaluating Explainable AI (XAI) introd...

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New Research: Linking customer big data analytics to firm performance: evidence from B2B organizations in an emerging market context frontiersin.org/articles/10.… #FrontiersIn #ArtificialIntelligence

Frontiers | Linking customer big data analytics to firm performance: evidence from B2B organizati...

IntroductionThis study examines the impact of Customer Big Data Analytics (CBDA) on customer satisfaction and firm performance in business-to-business (B2B) ...

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New Research: An automated framework to classify skin lesions using Multi-Head Self Attention Layer-based Vision Transformers frontiersin.org/articles/10.… #FrontiersIn #ArtificialIntelligence

Frontiers | An automated framework to classify skin lesions using Multi-Head Self Attention...

Skin lesions are one of the most prevalent form of diseases existing among us. Early detection and classification of potentially malignant skin lesions can g...

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New Research: TRUSTLab dataset: a real-world CICFlowMeter dataset for IoT/edge intrusion detection frontiersin.org/articles/10.… #FrontiersIn #ComputerScience

Frontiers | TRUSTLab dataset: a real-world CICFlowMeter dataset for IoT/edge intrusion detection

IntroductionThIntrusion Detection Systems (IDS) for Internet of Things (IoT) and edge environments require datasets with unambiguous labels, yet existing dat...

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New Research: Adoption of artificial intelligence in the HRM function within the South African telecommunication sector: a quantitative analysis using structural equation modelling frontiersin.org/articles/10.… #FrontiersIn #ArtificialIntelligence

Frontiers | Adoption of artificial intelligence in the HRM function within the South African...

IntroductionThe rapid emergence of the digital workplace has accelerated the integration of artificial intelligence (AI) into human resource management (HRM)...

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New Research: A lightweight region of interest-level adjudication framework with hard-negative mining and confidence-aware fusion for pediatric fracture detection frontiersin.org/articles/10.… #FrontiersIn #ArtificialIntelligence

Frontiers | A lightweight region of interest-level adjudication framework with hard-negative mining...

Accurate detection of pediatric fractures in radiographs remains challenging due to subtle visual cues and the high prevalence of false-positive detections p...

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New Research: A temporal attention-based hybrid deep learning model for student performance and academic risk prediction frontiersin.org/articles/10.… #FrontiersIn #ArtificialIntelligence

Frontiers | A temporal attention-based hybrid deep learning model for student performance and...

This work presents a hybrid deep learning approach for identifying students who are likely to experience academic difficulties in virtual learning environmen...

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New Research: Platform engineering and internal developer portals: a multivocal literature review frontiersin.org/articles/10.… #FrontiersIn #ComputerScience

Frontiers | Platform engineering and internal developer portals: a multivocal literature review

Platform engineering has become the dominant approach to managing developer infrastructure at scale, with industry surveys indicating that 94% of organizatio...

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New Research: AMULED: Addressing Moral Uncertainty using Large language models for Ethical Decision-making frontiersin.org/articles/10.… #FrontiersIn #ArtificialIntelligence

Frontiers | AMULED: Addressing Moral Uncertainty using Large language models for Ethical Decision...

IntroductionWe address moral uncertainty in reinforcement learning (RL) by proposing a framework that integrates multiple ethical theories into decision-maki...

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New Research: Beyond data sharing: enhancing IoT intrusion detection with blockchain-enabled federated learning frontiersin.org/articles/10.… #FrontiersIn #ComputerScience

Frontiers | Beyond data sharing: enhancing IoT intrusion detection with blockchain-enabled federa...

Federated learning (FL) is a decentralized machine learning (ML) approach that can be used for intrusion detection in Internet of Things (IoT) devices. It in...

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New Research: HyRA-CXR: a hybrid residual–attention deep network for chest X-ray classification frontiersin.org/articles/10.… #FrontiersIn #ArtificialIntelligence

Frontiers | HyRA-CXR: a hybrid residual–attention deep network for chest X-ray classification

Chest X-ray (CXR) interpretation is essential for diagnosing pulmonary diseases, yet manual reading remains slow and prone to human error, especially in high...

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