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14 November 2026
Quantum algorithms often require many repeated circuit executions to estimate observables, guide optimization, or verify results. These repetitions, known as shots, consume quantum hardware resources and can make otherwise promising computations expe...
14 November 2026
Support request management in public institutions is often fragmented, limiting oversight and management indicators. This study developed a natural language processing module for the automated classification of technical and information technology su...
The lack of authentication and message integrity mechanisms in the Controller Area Network (CAN) exposes in-vehicle communication to flooding, fuzzing, spoofing, and replay attacks. This study presents a compact dual-stream causal depthwise-separable...
Decentralized cyber–physical systems (CPSs) improve scalability and fault tolerance but expose local controllers and neighbor-to-neighbor coordination to integrity, availability, and multi-agent attacks. This study presents a PRISMA-guided syst...
Single observations can mischaracterize dynamic web tracking and browser fingerprinting. We measured privacy- and security-relevant indicators across a fixed, purposively curated frame of 947 Ecuador-associated organizational domains using Blacklight...
Freight logistics on the Trans-Caspian International Transport Route (Middle Corridor) suffer from long dwell times, limited cargo visibility and frequent incidents. This study quantifies how a digital escort of freight, built on a four-layer 5G-IoT-...
Fifth-generation (5G) wireless networks have been key enablers for information societies over the last few years [...]
Online platforms and IoT back-ends face abrupt traffic surges. A tightly coupled monolith keeps response times short but becomes fragile under peak load, whereas loosely coupled microservices scale and isolate faults at the price of extra network com...
Road traffic crashes remain a major public safety concern in Ecuador, particularly on the General Rumiñahui Highway, which is a high-demand mountainous corridor characterized by a complex road geometry, variable traffic conditions, changing en...
Language is fundamental to social interaction and communication, and assistive technologies can help reduce barriers between Deaf and hard-of-hearing individuals and hearing communities. This study presents a standalone edge-AI device based on Raspbe...
Progress in information and communication technology, together with the demand for digital transformation, continues to produce networks, systems, and platforms that enable collaboration and data-driven workflows at scale and beyond established trust...
UAV, mounted aerial base stations offer remarkable deployment flexibility for 6G Non Terrestrial Networks (NTNs), yet their hovering energy demands present a critical sustainability bottleneck, particularly as network topologies continuously evolve i...
Model Context Protocol (MCP) clients may approve a Tool whose authenticated, client-visible contract later changes. Directional Contract Transition Revalidation (DCTR) retains grant-bound operational and last-human-reviewed baselines, canonicalizes c...
Application-level evidence is needed to evaluate communication-related delay, processing, reliability, and hosting cost when selecting cloud virtual machines for geographically distributed database-backed applications. This study presents a communica...
Acoustic sensor nodes protecting logistics sites use fixed-label classifiers, so adding a class requires new data, retraining, and redeployment of every node. Audio–language models promise to add classes by text description. We evaluated three...
Private keys are the single point of failure in blockchain systems; if lost, assets are irrecoverable, and if stored, they are exposed. This paper presents a template-free biometric cryptosystem that regenerates a 256-bit private key directly from a...
Offline Egyptian Arabic automatic speech recognition (ASR) requires balancing recognition accuracy, model size, and edge device performance. This study investigates structured feed-forward network (FFN) compression and recovery fine-tuning of a 114.6...
Web search is a primary gateway for accessing digital information, and artificial intelligence (AI) fundamentally reshapes both search infrastructure and search engine optimization (SEO) practices through which organizations achieve online visibility...
Real-time monitoring of muscle fatigue could support safer strength training, yet most wearable systems depend on cloud processing, which adds latency and exposes physiological data. This work presents and evaluates an edge-based prototype for biomet...
This cross-sectional survey examines the associations of smart-device usage, personalization, and IoT integration with perceived customer engagement among 392 Greek business and digital-marketing professionals. The leading reported functions were ins...
RAISE (Real-time AI Insights for Sentiment and Engagement) is a preliminary framework that combines speech transcription with Whisper, speaker diarization with pyannote.audio, text-based emotion classification with DistilRoBERTa, and feedback generat...
Tool poisoning can induce Model Context Protocol (MCP) agents to perform harmful host-side actions through manipulated tool metadata or invocation arguments. This paper studies a client-side least-privilege capability-inference mechanism that transla...
As governments expand artificial intelligence (AI) in public services, user trust may depend on the governance safeguards surrounding its deployment. This exploratory study combines a documentary analysis of 16 AI governance dimensions in the United...
Road networks are routinely exposed to partial capacity losses caused by incidents, work zones, flooding and pavement failures, and planners need fast, trustworthy estimates of how such losses propagate through route choice. This paper develops a fra...
Quantitative assessment of information security in 5G telecommunications infrastructure is difficult because individual security metrics are heterogeneous and rarely interpreted together. Conventional multi-criteria decision-making (MCDM) application...
This paper presents a Systematic Mapping Study of Machine Learning techniques applied to Optical Access Networks, with an emphasis on Passive Optical Networks. From 605 Scopus-indexed publications, 112 primary studies were selected and analyzed accor...
Some patients require long-term hospitalization, which restricts their opportunities for social connection and participation in important events or daily lives. To mitigate this issue, we developed an asymmetric 360-degree telepresence system requiri...
Accurate delineation of cardiac structures in cardiac magnetic resonance (CMR) images is a prerequisite for quantifying cardiac function. This paper presents an end-to-end pipeline for automated cardiac segmentation and five-class pathology classific...
Business intelligence (BI) systems increasingly rely on data-driven architectures to facilitate informed financial and operational decisions. However, the integration of advanced algorithms into these platforms has also enabled malicious actors to de...
Authorization in Internet of Things deployments assumes a reachable cloud; the cloud-fog-edge continuum breaks that assumption where decisions matter most. This article presents a delegation architecture in which authority is granted at the cloud and...
The increasing availability of diverse internet of things devices has made possible an increase in zero-day attacks, but at the same time, it has brought up several issues related to data privacy, overhead communications, and computation scalability...
Practical deployment of uplink Non-Orthogonal Multiple Access (NOMA) suffers from synchronization errors, device-specific carrier-frequency offsets, hardware impairments, and the complexity of Successive Interference Cancellation (SIC). This paper pr...
Security-testing platforms that rely on public clouds create tensions with data-protection requirements and digital-sovereignty objectives, yet existing cyber range (CR) architectures rarely address regulatory compliance by design. This paper propose...
Artificial intelligence (AI)-native sixth-generation (6G) networks are expected to rely on agents in different administrative domains that coordinate policies, model versions and access rights through shared state. A permissioned ledger can anchor th...
The increasing adoption of Internet of Things (IoT) technologies in smart farming has improved agricultural automation and decision-making while expanding the attack surface of interconnected devices and communication networks. Intrusion detection in...
Political misinformation spans fact-checked claims and news headlines, yet detection models are often evaluated within a single corpus and input representation. This study presents a metadata-flexible transformer framework evaluated on LIAR2 (19,212...
Background: Organizations face increasing pressure to sustain economic performance while simultaneously addressing the demands of sustainability, resilience, and human-centered practices. Thus, this study analyzes how the maturity dimensions establis...
Early warning of corporate financial distress matters to creditors, investors, and regulators, and automated monitoring systems re-score listed firms after every disclosure. Under China’s Special Treatment (ST) regime, most designations are ann...
Tiny Machine Learning (TinyML) is expanding beyond compact convolutional and feed-forward models toward Transformer-family architectures adapted to microcontrollers and extreme-edge systems. This systematic review evaluates the deployment readiness o...
The rapid motion of Low Earth Orbit (LEO) satellites causes highly time-varying downlink quality, while the radio-frequency energy available during a single pass is strictly limited. Dynamic Programming (DP) optimizes discrete power allocation, but r...
The large-scale collection and circulation of passenger travel data in railway operations have dramatically heightened the risks of personal privacy leakage. In recent years, Decentralized Identity (DID) has become a vital component of privacy protec...
Machine-learning models that predict short-horizon cellular throughput underpin adaptive video streaming, cloud gaming, and edge orchestration. On the widely used Raca et al. 5G drive-test dataset, such models can report low error. We show that, on t...
Uncertainty-aware edge–cloud intrusion detection improves analytical efficiency by escalating ambiguous Industrial Internet of Things (IIoT) traffic for deeper cloud inspection, but this mechanism can itself become an attack surface when uncert...
Failover planning for geographically redundant Multiprotocol Label Switching (MPLS) backbones must distinguish directional rate adequacy, packet deadlines, and interruption loss. This study develops a reproducible assessment combining G.729 traffic a...
Smart contract vulnerability detection is a critical challenge in the rapidly evolving blockchain ecosystem. Existing LLM-based auditing approaches face two major bottlenecks: (1) generated explanations often suffer from logical inconsistency and omi...
Web question answering often relies on passages that repeat the same source, offer independent support, or affect an answer only when considered together. We present PQ-EID, a method for examining how evidence interacts while accounting for its prove...
Future sixth-generation networks are expected to support immersive and telepresence services in which users interact with digital environments through wearable and multisensory terminals. In dense and mobile scenarios, static access support may becom...
Future Industrial Internet systems are moving beyond site-bounded automation toward wide-area, distributed, and sustainability-constrained industrial intelligence. Connectivity, computation, and energy sustainability are still usually reviewed as sep...
Cloud integration can be economically attractive yet operationally unsuitable when dependent services exchange traffic over constrained network paths. This study develops a network-aware extension of a time-dependent, three-objective integration mode...
This study investigates whether learning behaviour in DDoS intrusion detection is determined solely by learning architecture or is also influenced by how the investigated network traffic is represented. A representation-aware experimental methodology...
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