Dataset generation is a critical component in training robust perception models for tasks such as object detection and road segmentation, where large-scale annotated data are required. In this work, we present a comparative study of two simulation pl...
The dimensional precision and repeatability of an entry-level masked stereolithography (MSLA) printer were evaluated using a two-part fit gauge representative of a blanking tool, in which the peg-bore clearance served as the functionally critical dim...
The present study investigates a composite stabilisation method for phyllite soil by incorporating red clay along with chemical stabilisers (cement or lime). In order to ascertain the unbounded pressure-enduring capacity (qu) of the rectified pedolog...
By introducing a data-driven human–machine collaboration performance evaluation Model (HMCPEM) that utilizes multiple regression and Monte Carlo simulation, the effectiveness and dependability of collaborative decision-making in smart agricultu...
Artificial intelligence (AI) increasingly supports project management tasks in technical, technological and innovation-oriented environments. This paper examines how AI is used in technical project management through a qualitative critical incident t...
With the promotion of power grid stability and sustainable energy transition, investors in microgrid system planning often face a choice between two investment strategies: high initial investment with low maintenance cost (Case A), and low initial in...
Reinforced concrete frames with masonry infill walls are widely used, and both the RC elements and the infill masonry significantly influence the structural response. Accurate finite element modeling of the interaction between masonry and the RC skel...
This study describes a methodology for developing project management software that uses artificial intelligence. The software system will combine agile methods, DevOps processes and Machine Learning Operations principles into one framework. The propo...
Barrier lakes often occur in areas with steep terrain and poor geology. Earthquakes and heavy rainfall can also cause slope damage, leading to soil and rock accumulation in river valleys and creating barrier lakes. Because barrier lakes often have ar...
With the rapid development of imaging and computing technologies, camera-based human pose analysis has become an important tool for training and performance evaluation. In applications such as fitness training, military drills, and home exercise, the...
We developed a computational multi-stage optimization framework for planning and operating community care stations for older adults. The framework integrates population forecasting, health-state transition modeling, affordability-adjusted demand esti...
We developed a multimedia e-learning platform by integrating a digital board game with narrative case studies to train long-term care staff. Twenty participants completed a single-group pretest–posttest evaluation using the Lesbian, Gay, Bisexu...
This paper investigates the potential of utilising recycled clay brick powder, recycled concrete powder and limestone filler as supplementary cementitious materials at replacement ratios of 10% and 20%. The experimental programme encompassed an analy...
Explainable Artificial Intelligence (XAI) has emerged as a critical enabler for deploying trustworthy AI systems in higher education, particularly in course assessment and learning outcome prediction. While advanced machine learning models such as gr...
Strong water absorption makes direct terahertz (THz) analysis of aqueous contaminants challenging in conventional transmission geometries. Here, reflection-mode THz time-domain spectroscopy (THz-TDS) combined with a custom polytetrafluoroethylene (PT...
Limestone calcined clay cement (LC3 or LC3) is a promising low-clinker and potentially economical binder that combines Portland clinker, calcined clay, limestone and gypsum in a chemically synergistic system. This review critically synthesizes publis...
The Alternative Fuels Infrastructure Regulation (AFIR) and the recast TEN-T guidelines have reset the deployment trajectory for high-power recharging on the trans-European transport network. For the five Balkan EU-member states—Bulgaria, Croati...
With the rapid growth of the aging population, decreased muscle strength, reduced physical activity, and increased risk of cognitive decline have become significant challenges in elderly care. To solve these problems, we developed an IoT-based versat...
In recent years, there has been a proliferation in the launch of small satellites or low-cost constellations for operations related to the Internet of Things (IoT), the measurement of conditions in the space environment, and the testing of commercial...
The integration of artificial intelligence (AI) into higher education has led to the emergence of Teacher–AI co-teaching models, where human educators collaborate with intelligent systems to enhance teaching and learning processes. These models...
The importance of digital twins has been increasing, and high-precision registration is required for their construction. However, existing methods face the challenge of reduced registration accuracy due to the influence of non-overlapping regions bet...
The paper presents tensile tests of hybrid steel–concrete joints for discrete reticulated timber structures. The hybrid steel–concrete joint consists of short steel tubes filled with polypropylene fiber-reinforced concrete. The anticipate...
This study addresses the integration of a photovoltaic (PV) subsystem and a digital twin into the power supply system of bakery production. A four-level architecture is proposed, comprising a physical level, a data acquisition level, an analytical le...
The rapid advancement of artificial intelligence (AI), particularly generative models, has enabled the creation of highly realistic deepfake content, significantly transforming the digital media landscape. While these technologies offer innovative ap...
Extended Reality (XR), encompassing Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), has emerged as a powerful enabler of experiential learning for complex skill acquisition. Complex skills often require the integration of proced...
We investigated an object tracking control method for a low-cost compact UAV using single-shot multibox detector-based real-time object detection. The model employs Da-Jiang Innovation Tello and performs all inference on an external personal computer...
This article presents an in-depth theoretical analysis and a systematized methodology for the digital design of general site plans in construction engineering, based on the precise processing of digital topographic data. The focus of the research is...
The integration of artificial intelligence (AI) into hybrid work environments has transformed organizational structures, collaboration patterns, and employee identity formation. Human–AI collaboration enables enhanced productivity through autom...
A considerable proportion of the existing reinforced concrete buildings were designed according to older seismic provisions and are characterised by insufficient transverse reinforcement, inadequate confinement, and limited deformation capacity. The...
Early-age concrete shrinkage strongly influences crack formation, serviceability, and durability. Although shrinkage mechanisms and prediction methods are well documented, measured early-age deformations can differ substantially from standard predict...
Rapid Influenza A nucleic-acid testing is valuable for decentralized surveillance, yet amplification-based assays depend on laboratory instrumentation. Electrochemical sensing can provide compact readouts, but reliable signal transduction requires a...
Digital tutoring systems require real-time modeling of learners’ hidden states. In this study, we develop a unified machine learning model that integrates Bayesian knowledge tracing (BKT) with ensemble-based off-task detection to address latent...
This study presents a weather-based anomaly detection framework for wind-turbine monitoring using public EDP (Energias de Portugal) measurements and failure records. Principal Component Analysis (PCA) groups related variables, and Seasonal-Trend deco...
Climate change intensifies urban vulnerabilities, necessitating advanced, data-driven frameworks to enhance social resilience in smart cities. This study proposes a comprehensive Data-Driven Social Resilience Framework (DDSRF) that integrates artific...
Many concrete arch bridges in Croatia are located in seismically active areas. The last two strong earthquakes that struck central Croatia prompted consideration of the seismic resistance of several dozen arch bridges situated on important traffic ro...
In an era where IT security has paramount importance, the identification of devices holds a significance comparable to that of individuals. With the pervasive adoption of wireless technology, understanding the informational content within wireless da...
Continuous operation of static equipment is not possible without assessing the metal condition, and one method to implement the asset management strategy is ultrasonic (UT) analysis of existing imperfections. The focus is placed on the risk-based ins...
Artificial Intelligence (AI) systems are increasingly being applied to complex social and environmental challenges, but their implementation across different application domains requires appropriate combinations of computational techniques, data sour...
Through different concepts of bridge design, we can significantly influence its seismic behavior. Earthquake energy can be either concentrated on one critical element (causing it to suffer the most damage), distributed among more of them equally (to...
Feature selection remains a challenge in high-dimensional data analysis. Identifying the optimal feature subset is a complex combinatorial problem often classified as nondeterministic polynomial-time-hard. Traditional classical heuristics frequently...
A contactless Controller Area Network (CAN) bus hardware probe is designed based on the flexible electronics technology in order to provide non-intrusive data access. Different with th traditionally wired probes, the designed probe leverages flexible...
This paper presents a performance evaluation of WPA2 and WPA3 security protocols in private Wi-Fi 6 environments. The study investigates how the transition from WPA2-PSK to WPA3-Personal affects wireless network performance under practical residentia...
A lightweight framework integrating Segment Anything Model 2 and multimodal generative AI is developed in this study to automate projection mapping. By leveraging Google Vertex AI cloud application programming interfaces (APIs) and a Python-TouchDesi...
The Danube holds a strategic position and is a key region for economic cooperation, transportation, and energy security. In the context of the global energy transition and the European Union’s climate neutrality objectives, sustainable energy i...
Electric scooters have emerged as a prevalent and viable mode of sustainable urban transportation, thereby rendering their safety systems a subject of critical importance. The indicator lights (turn signals) are essential for communicating a rider&rs...
A semi-automatic image annotation system is developed on the basis of You Only Look Once Version 8 to reduce the time and effort required for manual data labeling. Initially, an object detection model is trained on a limited set of annotated images a...
Non-destructive testing (NDT) increasingly incorporates computational and model-assisted approaches to evaluate material behavior without physically altering or damaging samples. In this study, a software-based stochastic simulation framework is pres...
In today’s information security environment, the security of the secure shell (SSH) protocol is vital. However, anomalous behaviors such as brute force attacks, man-in-the-middle attacks, and suspicious root access still pose a threat to the sy...
A cascaded neural network framework is developed to solve the two-dimensional inverse scattering problem under transverse magnetic wave illumination. The framework employs a multi-stage deep learning architecture in which each sub-network iteratively...
In the cultivation of watermelon, the prevention of fruit thinning and the selective removal of smaller fruits to ensure optimal nutrient allocation for superior specimens are critical for optimizing yield and quality. For accurate size estimation, A...
