Frontiers in Computer Science | New and Recent Articles

Artificial intelligence (AI)-mediated web and application programming interface (API) access is often treated as a bot-management problem—identify an automated caller and then allow, block, delay, challenge, or meter the request. That framing is useful but incomplete. A disputed access decision can depend on the caller’s authenticated identity, the represented principal, delegated authority, decl…

Cybersecurity breaches orchestrated by malicious attackers can have painful consequences for victim organizations. Such events show how breaches can occur and what factors lead to them. This study offers a point of reflection from theoretical and security-posture perspectives, focusing on the Mercer Advisors Inc. data breach. While acknowledging the limitations of public records, the study contri…

Artificial intelligence-based image analysis is transforming medical diagnosis; however, its clinical usefulness is limited by inherent noise and the quality of available medical datasets. Recent advances in generative AI promise to improve image quality through denoising, enhanced resolution, and more. This study applies the Segment Anything Model 2 (SAM2) and the Enhanced Super-Resolution Gener…

IntroductionChatGPT's conversational interface invites anthropomorphic interpretations that conflict with its underlying probabilistic architecture. Prior research has identified folk theories and conceptions of generative AI among technical laypersons, but has largely examined these mental concepts in isolation or at the group level. Less is known about how conceptualizations of ChatGPT as a det…

IntroductionBy 2030, an estimated 40% of current cloud infrastructures may be rendered vulnerable by cryptanalytically relevant quantum computers (CRQCs).MethodsThis paper introduces a 4-tier security framework tailored for Quantumas-a-Service (QaaS) deployments, focusing on securing data-in-transit. Integrating 3 NIST-standardized post-quantum algorithms (ML-KEM, ML-DSA, and SLHDSA), our archite…

Accurate prediction of the remaining useful life (RUL) of rolling element bearings under target-bearing data scarcity remains a critical challenge in prognostics and health management (PHM). This paper proposes a multi-representation domain generalization framework for unseen-bearing RUL prediction. The framework uses a Bidirectional Multi-scale ConvLSTM architecture to capture temporal degradati…

To optimize the early detection of breast cancer, a strong integration of heterogeneous biomedical signals is essential to improve diagnostic reliability and reduce false negatives. This study proposes a Tri-Fusion deep learning model for timely breast cancer screening, which integrates White Blood Cell (WBC) morphological features, mammogram image embeddings, and gene mutation signatures within …

Although gesture-based explanations for robotic behavior seem promising for enhancing the transparency of robotic systems, careful design is crucial to their success. Based on a pilot laboratory study (N = 42) that highlights the need for a systematic framework for gesture-based design of transparent robotic systems, we propose an initial 12-dimensional design space taxonomy, clustered in three l…

Lightweight security mechanisms are essential for Internet of Things (IoT) edge environments, where devices operate under strict constraints in computation, memory, and energy. The emergence of TinyML-enabled edge intelligence introduces new communication security requirements, particularly for protecting compact inference outputs (typically 1-32 bytes, including class labels, confidence scores, …

IntroductionUnderwater visual sensing is severely hindered by wavelength-dependent absorption and scattering, which induce non-linear color shifts and structural haze. Existing enhancement methods often face a fundamental trade-off between chromatic restoration and geometric integrity, where color correction frequently occurs at the expense of blurring fine-grained details or amplifying noise.Met…

IntroductionHybrid Variational Quantum Algorithms (VQAs) present a highly viable pathway to near-term quantum utility; however, their performance is fundamentally bottlenecked by classical-quantum communication latency in Quantumas-a-Service (QaaS) environments.MethodsThis paper proposes an optimized classical-quantum orchestration architecture designed to minimize cloud-induced latency and maxim…

As global urbanisation concentrates the majority of people in cities, encounters between humans and non-human lifeworlds increasingly take place within the built environment. Plants are key living organisms integrated into urban systems at scale, and some architectural spaces incorporate plants to benefit from their presence through sensing, actuation, and biosensing technologies. Buildings are i…

This systematic review assessed 64 fashion datasets identified through a PRISMA 2020-guided two-stream search, evaluating each on FAIR compliance, a composite AI-Readiness Score, and a five-level ontology maturity model. The AI-Readiness assessment yielded a grade distribution concentrated in the middle tiers (B: 60.3%, C: 36.5%), while 79.7% of datasets provided only flat attribute annotations (…

The rapid integration of large language model-based conversational systems has intensified longstanding questions in mediated communication, human–computer interaction, and social presence research by placing language-generating systems within ongoing conversational exchanges. Rather than treating these systems only as information-retrieval tools, users often orient to them through interactional …

Intrusion detection in Industrial Internet of Things (IIoT) environments is a risk-asymmetric problem: false alarms increase analyst workload, but false negatives may allow malicious activity to persist in safety- and operation-sensitive systems. Although recent deep learning-based intrusion detection systems report high aggregate accuracy, near-ceiling performance can obscure the residual errors…

The Conceive–Design–Implement–Operate (CDIO) Syllabus expresses graduate competencies in natural language developed through project-based learning, yet the link between declared competencies and delivered content is maintained manually. This study proposes the CDIO Competency–Knowledge Ontology (CDIO–CKO): a decidable OWL 2 Description Logic (DL) formalization of the Syllabus connected to program…

Vehicular Ad Hoc Networks (VANETs) and Flying Ad Hoc Networks (FANETs) are essential for safety-critical and data-intensive applications in intelligent transportation and aerial systems. However, high node mobility, dynamic topologies, heterogeneous communication technologies, and limited energy resources in FANETs cause frequent handovers, resulting in increased latency, packet loss, and reduced…