Generative-AI systems are increasingly trained on datasets containing AI-generated content, creating recursive feedback that may cause progressive losses of tail mass, diversity, and effective variance in learned distributions–a phenomenon comm...
In the domain of intelligent transportation systems, interpreting informative traffic signs requires more than recognizing isolated objects. Our study is dedicated to Traffic Sign Semantic Understanding (TSSU), with the goal of examining diverse traf...
This paper describes a human-in-the-loop TSO-DCR architecture that incorporates transmission system simulation, HMS, HPMS, and HPSN. MATLAB App Designer, MATPOWER, and Simulink/Simscape Electrical were used to examine baseline conditions, a transmiss...
The paper develops a dynamic model for ironless axial-flux permanent-magnet synchronous machines (AFPMSMs) fabricated using 3D-printing techniques. The model employs lumped parameters determined through an efficient two-dimensional (2D) magnetic-fiel...
Conventional virtual synchronous generator (VSG) control with fixed parameters cannot simultaneously achieve fast transient response and effective overshoot suppression, while adaptive VSG performance depends strongly on empirically tuned gains. This...
Extended Reality (XR) technologies have demonstrated considerable potential for enhancing robotics education by enabling immersive visualization, safe experimentation and improved access to practical laboratory experiences. Despite these advantages,...
Educational data mining (EDM) often reports classifiers and feature selectors fitted to large-scale assessments without respecting how these surveys are designed. This study specifies an evaluation protocol for such data—a published predictor a...
Smart-inverter Volt–Var and Volt–Watt control is established practice, but the relative merits of local controller architectures depend on network conditions and inverter capability. This simulation-based study evaluates a reactive-power-...
Industrial compressed-air systems require continuous operational visibility because pressure regulation, load cycling, thermal conditions, and pneumatic demand affect energy performance. This study develops and field-evaluates a low-cost Internet of...
This paper presents an energy-efficient operating strategy for a three-phase induction motor drive powered by a proton exchange membrane fuel cell (PEMFC). The proposed approach minimizes hydrogen consumption and improves motor efficiency over a wide...
Road-surface ice, snow and standing water can impair winter driving, while irregular boundaries and changing illumination complicate image-based assessment. This study investigates pixel-wise semantic segmentation using HPC-D, a DeepLabv3+ architectu...
In this article, we consider an operator of an autonomous electric ride-hailing fleet who must decide, for every vehicle and period, whether to remain in place, travel empty to a rider, carry a rider, or charge at a station. The proposed mixed-intege...
To overcome the thermal loss and interconnect delays of conventional electronic processors under escalating AI computing workloads, analog optical processors have emerged as a compelling low-latency alternative. This work introduces an integrated opt...
Conventional gravity-fed intravenous (IV) infusion relies largely on visual inspection, and abnormal events such as incorrect drip rate, depletion, and blood backflow may occur between nursing rounds. This study develops and evaluates an IoT-enabled...
This exploratory research examines learning-process engagement in artificial intelligence (AI)-supported courses, measured through students’ self-reported attention, active participation, and thinking during class. Necessary Condition Analysis...
Planned last-mile routes often change during execution, making pre-dispatch identification of likely deviations useful. Performance measured when test routes involve drivers and addresses represented in training may not extend to unseen entities. Thi...
Coordinating capacity configuration and operational scheduling in multi-energy systems is inherently complex, given their distinct time scales and intertwined economic and carbon constraints. To address this challenge, a bi-level optimization model f...
As critical energy infrastructure, gas pipeline networks play an essential role in maintaining stable energy supply and supporting energy infrastructure sustainability. However, accident reports are characterized by dispersed data sources, highly uns...
Air traffic control (ATC) simulators are essential tools for controller training, operational research and higher education, enabling realistic practice without affecting live air traffic. Although commercial simulation platforms are widely available...
Digital Twin technologies have seen growing adoption in the Oil and Gas industry, yet the term is applied to systems with markedly different levels of data integration, analytical capability, physical–digital interaction, and operational autono...
Analytics programmes can reduce EOQ ordering and holding costs, but expenditure is committed before planned benefits are fully realised. This study extends an established joint cost reduction formulation with a post-optimisation benefit realisation e...
This paper proposes the Raid Team Strategy (RTS), a population-based metaheuristic inspired by the tactical organization of raid teams in search-and-attack operations. At each iteration, the best-ranked agents act as leaders and exploit their neighbo...
Monitoring the current technical condition of a marine internal combustion engine and diagnosing the causes of deviations of its operating parameters from reference values are important tasks for ensuring the efficient and safe operation of marine po...
Artificial intelligence (AI) is changing the scope of decision support from model-assisted analysis toward systems in which algorithms, data, domain knowledge, and human judgment interact throughout the decision process [...]
Matching surgical patients to intensive care beds in real time remains stubbornly difficult in healthcare business operation. Demand spikes. Capacity tightens. Yet, even brief admission delays might trigger avoidable complications and inflate operati...
This study investigates the temporal evolution of e-commerce research topics from 1996 to 2025 using a reproducible semantic–temporal framework that combines a fixed-seed K = 20 BERTopic specification with adjacent-year Pearson correlation coef...
Traditional ant colony optimization (ACO) often suffers from insufficient initial pheromone information, premature convergence, and limited adaptability across problem scales when solving the traveling salesman problem (TSP). This study proposes a mu...
The increasing penetration of non-conventional renewable energy sources poses operational flexibility challenges that motivate the coordination of distributed energy resources via active demand management. This study proposes an optimal operational s...
Titanium and its alloys present machining challenges that necessitate post-machining surface finishing to guarantee functional reliability and surface integrity. Because traditional methods often rely on hazardous acidic media, recent sustainable man...
Artificial intelligence is included in several parts of education, and it serves as an important tool for it. In this study, we present the initial design and pre-deployment formative evaluation of an AI-powered educational chatbot, called TouriBot,...
Effective Internet of Things (IoT) education requires students to integrate sensing, actuation, embedded programming, networking, and application development into complete cyber-physical systems. Achieving this integration remains challenging, partic...
Macro-fibre composite (MFC) actuators offer improved flexibility and damage tolerance over monolithic piezoceramics, which have been widely utilised recently. However, direct bonding to a heritage substrate of MFC actuators may cause local stress con...
The metering verification center of Yunnan Power Grid processes dynamically arriving batches of single-phase and three-phase smart meters, low-voltage current transformers, and collection terminals through multi-operation test chains on six automated...
The world population is aging at an accelerating pace, and the rate of disability caused by chronic diseases and trauma is on the rise. The traditional rehabilitation model has some structural defects, such as subjective evaluation, homogeneity in tr...
This paper addresses a green intermodal route-planning problem considering delivery time sensitivity and cargo integrity, in which a fuzzy time window, damage costs and the carbon tax policy are comprehensively integrated. A linear route-planning mod...
Virtual Coupling (VC) is an emerging railway signalling concept that allows successive trains to run closer together than the conventional absolute braking distance, promising higher line capacity. Prior VC research has mainly targeted controller des...
Background: Real-time Sound Event Localization and Detection (SELD) is important for enabling spatial-audio perception in resource-constrained environments. Edge and mobile platforms—including smartphones, wearables, embedded processors, microc...
Global Navigation Satellite Systems (GNSS) underpin maritime Positioning, Navigation, and Timing (PNT), supporting bridge functions such as the Automatic Identification System (AIS), the Electronic Chart Display and Information System (ECDIS), radar...
Accurate load loss forecasting is important to prevent plant failures and improve power station reliability. While the Temporal Fusion Transformer and LSTM have demonstrated state-of-the-art performance in modelling complex temporal patterns, their e...
Passive sit-to-stand (STS) assistive devices provide an affordable and reliable alternative to powered rehabilitation systems; however, their effectiveness depends on the kinematic compatibility between the mechanism and the user. Existing studies pr...
The analysis of transient regimes is important for the reliable monitoring and diagnostics of electromechanical systems, since dynamic changes in load have a significant impact on the electrical and mechanical characteristics of electric motors. In t...
With the rapid development of smart devices and mobile Internet, Location-based Consumer Electronics (LCE) increasingly rely on accurate destination prediction to support location-aware services. However, existing destination prediction methods often...
This study investigates a novel on-time and reliable intermodal routing problem for time-sensitive cargoes. Three practical factors, hard time window, damage costs, and fuzzy demand, are fully integrated into the problem optimization to achieve compr...
Most predictive approaches in educational data mining rely on complex models whose opacity limits practical adoption by classroom teachers, creating a gap between model sophistication and classroom usability. This gap is particularly acute at the cla...
In this study, statistical analysis and computational fluid dynamics (CFD) were employed to study the efficiency and self-starting trade-off of a Savonius–Darrieus hybrid turbine. The research focused on identifying the optimal radius ratio, co...
Prolonged sitting and poor posture are linked to musculoskeletal discomfort, higher spinal loading, and lower study and work efficiency. An Arduino-based distributed system combining a multi-sensor was developed for low-cost, camera-free sitting post...
Manufacturing companies often register process deviations in operational systems while managing continuous improvement (CI) actions through separate spreadsheets, templates and meeting records. This fragmentation weakens traceability between detectio...
Agentic artificial intelligence (AI) systems—software that plans, acts, and decides without step-by-step human approval—are already deployed in finance, healthcare, recruitment, and public services. They differ from earlier AI in one crit...
This study investigates the realization and verification of safety-related functions of the KZ-MPC-MA national modular microprocessor-based railway interlocking system for Kazakhstan. The work focuses on the realization stage of the IEC 61508 safety...
The use of satellite imagery to monitor the Sustainable Development Goals is increasingly common, driven by advances in remote sensing and deep learning. Introducing remote sensing into academic graduate programs at maritime institutions not only fol...
