2026 October - 121 articles
Multi-hop RAG requires complementary facts from multiple documents to form a complete evidence chain. Relevance-based passage selection can miss bridging evidence, while adding more passages can introduce redundancy and distractors. Context compressi...
Chaos-based image encryption schemes are often motivated by the apparent randomness of chaotic sequences and by the nonlinear processing capability of convolutional neural networks (CNNs). However, these properties alone do not guarantee cryptographi...
This paper presents Relational Narrative Historiography (RNH) as a framework paper and testable research hypothesis, not as an empirical study. Historical accounts of the same event frequently diverge across archives, languages, and interpretive comm...
Fault diagnosis in induction motors is challenging when only a limited number of labeled infrared thermal images are available for training. Effective small-sample augmentation requires generated images to preserve class-related appearance patterns a...
Building dependable automatic speech recognition (ASR) for Karakalpak is hindered by the scarcity of transcribed speech. Whisper handles many languages well, but without adaptation its Karakalpak transcripts remain unreliable, largely because the lan...
Zero-inflated sparse count data are common in text analytics, where keyword frequencies contain many zeros and highly skewed positive values. This study proposes a systematic model-specific framework that treats predictor transformation and scaling a...
Designers may use learner personas to plan different content, feedback, or support for groups of students, but a clustering result alone does not establish that these groups represent distinct learner types. Whether such a categorical structure exist...
Background/Objectives: Acute kidney injury (AKI) is common in critical care, yet predictive artificial intelligence studies often differ in outcome definitions, validation, calibration, and interpretability. We developed and internally validated mach...
Chinese short-form dramas (duanju) drive a growing demand for automated Japanese dubbing that preserves each character’s voice. The decisive component is zero-shot cross-lingual voice cloning: synthesising Japanese speech from a short Chinese r...
Systematic literature reviews are essential for synthesizing scientific evidence but remain complex and resource-intensive processes that demand significant time and human effort. To reduce bias, they are usually conducted collaboratively and accordi...
Legal question answering is usually evaluated as if the law were static. In Kazakhstan, it changed twice within one year: a new Constitution replaced the 1995 text on 1 July 2026, and a new Tax Code replaced its predecessor on 1 January 2026, both re...
Knowledge extraction serves as a critical technique for constructing domain-specific knowledge graphs and enabling intelligent text parsing. In the vertical agricultural domain, wheat variety approval texts contain abundant agronomic trait entities a...
Intelligent question answering for textile standards requires accurate domain understanding, clause retrieval, and evidence-grounded generation, yet general-purpose large language models often lack sufficient domain adaptation and factual support. Th...
Algorithmic systems increasingly shape how distributed software teams monitor work and evaluate performance, but their relationship with shared team understanding remains unclear. This study examined perceived algorithmic monitoring and evaluation (A...
In the original publication [...]
Progressive mural inpainting requires structural guidance to reconstruct missing textures while maintaining color consistency. Existing methods only introduce line constraints at the input stage, resulting in distorted structures and color mismatch f...
In federated cross-domain recommendation, the existing research has widely focused on scenarios where at least some users or items overlap. How to enable cross-domain recommendation over non-overlapping users and items has emerged as a challenging re...
Artificial intelligence (AI) is increasingly used in scientific research and artistic practice, yet its publication patterns vary across research contexts. This study presents a comparative bibliometric analysis of 655 publications retrieved from fiv...
Feature selection is widely used in machine-learning-based intrusion detection systems (IDSs/NIDSs) to reduce dimensionality and computational burden, yet its benefits are difficult to attribute when feature evaluation, subset search, preprocessing,...
Research on generative artificial intelligence (GenAI) integration into instructional design practice has been expanding rapidly; however, its effects on the instructional design profession remain underexplored. To this end, this study examines instr...
Low-cost multi-sensor nodes are increasingly used to detect fire and smoke inside buildings, where separating flame from smouldering emission determines the response. Such detectors are usually validated on densely sampled logs whose consecutive read...
Extract, Transform, and Load (ETL) and Online Analytical Processing (OLAP) provide robust mechanisms for integrating structured data and supporting multidimensional analysis. Still, they offer limited support for semantic access to unstructured textu...
Vision–Language Navigation (VLN) requires embodied agents to interpret natural-language instructions in 3D environments. While significant progress has been made, state-of-the-art agents often struggle with instructions that demand fine-grained...
The digital transformation of engineering education has created new opportunities to support laboratory learning through continuous formative assessment. However, digital technologies are frequently implemented as isolated tools rather than as compon...
This meta-analysis systematically examined the effects of generative artificial intelligence (GenAI) on students’ self-regulated learning (SRL), including its overall effectiveness and its impact on the cognitive, metacognitive, motivational, a...
Privacy preservation techniques for event logs prevent sensitive information leakage by injecting noise into log data, thus mitigating privacy risks in business process management. While ensuring privacy, this approach often reduces data utility and...
Large language model (LLM) agents translate software interfaces at scale, yet production evidence on what breaks—and which safeguards catch it—is nearly absent: a 2026 mapping study of localization testing retained 24 primary studies, tho...
Forecasting high-dimensional multivariate time series requires models to represent dependencies across variables without making variable interactions prohibitively expensive. Full attention over variable-level tokens has a pairwise cost quadratic in...
The proliferation of wireless devices and intelligent environments has led to increasingly dense, interference-prone Wireless Local Area Network (WLAN) deployments. Recent amendments, such as IEEE 802.11ax/be, aim to enhance spatial reuse (SR) by opt...
This paper introduces ETQ-AI (Effective Teaching Questionnaire—Artificial Intelligence), a conversational AI framework designed to support teacher professional development by identifying pedagogical misconceptions and fostering critical reflect...
Background/Objectives: Machine translation increasingly prepares multilingual product information for EU marketing authorisation, yet no established process exists to adapt or validate a system for the Summary of Product Characteristics (SmPC), whose...
Illustrated stories support children’s learning. They also aid digital publishing and preserve regional narratives. However, manual illustration is costly and difficult to scale. Diffusion models offer an alternative. Yet, they often omit narra...
The integration of natural language understanding into conversational commerce requires robustly extracting structured intents from idiomatic text. While cloud-based models are highly capable, their latency, privacy risks, and operational costs neces...
Pest and disease detection in natural pear orchard environments is often affected by branch and leaf occlusion, non-uniform illumination, and complex background textures. In addition, substantial variations exist in the morphology and scale of lesion...
Social media (SM) platforms are widely used for corporate communication, yet quantitative evidence from specialized agri-food sectors remains limited. This study evaluates the SM adoption, activity, audience growth, interaction efficiency, and intera...
Decision-making is one of the most fundamental activities in many human, organizational, scientific, and societal contexts [...]
Reliable evaluation of artificial intelligence models for coronavirus disease 2019 (COVID-19) imaging remains challenging because patient-level dependencies, source-related biases, and differences between imaging modalities can lead to overly optimis...
Digital technologies can change organizational work without changing the dependencies through which work is coordinated. This article examines the cases in which those dependencies do change. The analysis separates changes in activities from changes...
Large language models (LLMs) are increasingly used in education, but evidence on their performance comes mainly from high-resource languages. We evaluated five commercial LLMs in Kazakh in a zero-shot setting: sentiment classification on 300 class-ba...
Smart contracts, characterized by automation, transparency, and decentralization, can establish efficient, secure, and reliable blockchain fund management and data processing mechanisms, playing a crucial supporting role in blockchain application sce...
Generative artificial intelligence (GenAI) model repositories expose versioned information artifacts, but public platform records rarely provide complete adoption histories. This study develops a reproducible architecture for measuring temporal relat...
This study examined the relationships involving the Big Five personality traits, perceived usefulness, perceived ease of use, behavioral intention, and continued usage intention in gamified learning technologies in Jordanian higher education. This st...
In recent years, digital technology has brought major changes to financial services. These rapid changes have created both new opportunities and challenges for digital banking. This has encouraged researchers to study and investigate this phenomenon....
Architectural heritage restoration has expanded rapidly, yet its knowledge base remains fragmented across materials, structural assessment, digital technologies, and conservation management. This study maps the field’s historical evolution and...
Item facility and item discrimination are two frequently used indices in Classical Test Theory (CTT) for evaluating examination quality. This study evaluates four state-of-the-art LLMs—ChatGPT, Google Gemini, DeepSeek, and Doubao—by compa...
Weekly cycles in cyber-threat activity are well documented, but how their timing varies with national weekends is not. Across 384 series from 192 countries, the weekly cycle is nearly universal. In the 43 countries whose weekend we individually sourc...
The rapid evolution of deep learning and computer vision has transformed markerless motion capture (MoCap) from specialized biomechanical tools into a key technology for real-time interactive systems, video game engines, and virtual production. This...
Artificial intelligence increasingly supports human decision making, but effective use depends on whether users assign AI advice the decision weight it warrants. This theory-oriented narrative review synthesizes 29 core studies, together with recent...
Unattended photovoltaic monitoring nodes must maintain authenticated operation under physical access, intermittent connectivity, and environmentally induced key-reconstruction errors. We present a distributed adaptive hardware security framework (DAH...
Digital mathematics platforms support probabilistic prediction of subsequent student responses, but temporal ordering, score comparability and calibration affect the validity of evaluation. We evaluated AdaptiveMath-AI on a deterministic cohort of 38...
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