1. 2025: Nemrég beküldött
Találatok megtekintése: 81-100 összesen: 112
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Trust, Transparency, and AI Adoption in Business
(2025)This study examines the psychological and emotional factors influencing AI adoption in Hungarian businesses, with a focus on trust, transparency, and user engagement. It highlights the strong connection between AI literacy ... -
Creation of Digital Twins using Spatial Artificial Intelligence - A Pilot Study
(2025)This study explores the integration of spatial artificial intelligence (SAI) in the creation a digital twin of a university campus - namely the Zalaegerszeg University Centre of the University of Pannonia - for immersive ... -
Openness to Robot Financial Investment Recommendation Systems, among Users of a Hungarian Financial Portal
(2025)In this article, we primarily examine the indirect and direct openness to robot recommendation systems based on a Hungarian survey conducted in 2019 on the financial habits of readers of Portfolio.hu (an online economic ... -
Instance Segmentation in Industry 5.0 Applications Based on the Automated Generation of Point Clouds
(2025)In this paper, we explore the utility of classical neural network-based approaches, originally designed for processing 2D images, in semantic segmentation and object recog- nition tasks within the context of 3D point ... -
Security Awareness of HCI in DigitAll Reality
(2025)The rapid development of digital technologies in business operations, collectively referred to as DigitAll Reality, poses significant challenges to small and medium-sized enterprises (SMEs), in the area of IT security. ... -
Segmentation of Electricity Consumers Using Clustering
(2025)The work presented in this paper is focused on customer segmentation based on the electricity demand by clustering methods. The main goal was to cluster the customers of a local electrical energy distribution company ... -
Factors Influencing the Intention to Use Robo- Advisors: A Hungarian Perspective
(2025)This study aims to investigate the factors influencing the intention to use robo- advisors, based on an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model, incorporating trust and perceived risk ... -
NTC-CIL: Characterizing and Classifying Encrypted Network Traffic using Class- Incremental Learning
(2025)In the field of network security and management, accurately identifying and managing encrypted traffic is essential for mitigating potential attacks and optimizing resource usage. However, conventional methods often ... -
Comparative Analysis of AI models ‒ Using AI-supported Qualitative Data Analysis for Interview Analysis
(2025)This study aims to comparatively evaluate the performance of currently popular Artificial Intelligence (AI) models in supporting qualitative data analysis, specifically focusing on the coding and hypothesis validation ... -
Parameter Optimization in Sparse Voxel DAGs for Efficient Geometry Representation of Voxelized 3D Scenes
(2025)This paper addresses the issue of geometry representation of voxelized three- dimensional scenes, using domain-specific hierarchical data structures, utilizing lossless compression. It discusses the details of the sparse ... -
High-Performance Sensor Fault-Tolerant Control Based on μ-Synthesis Approach for Induction Motor
(2025)In this paper, we present an improved Fault-Tolerant Control (FTC) for an Induction Motor (IM) system associated with a robust sensor Fault Detection and Isolation (FDI) filter based on the robust μ-synthesis technique. ... -
Examining the Influence of Egocentric Distance on Exocentric Distance Estimation in Virtual Environments
(2025)Egocentric and exocentric distance estimations are crucially important in the modern world. However, these skills can often be inaccurately assessed in virtual environments. A virtual space with two versions was designed ... -
Position Optimization of the Roberts – Chebyshev Cognate – Compliant Mechanisms
(2025)Instead of relying solely on moving rigid-body joints, compliant mechanisms motion is defined, thanks to their joints' relative flexibility, i.e., flexure hinges. As alternatives to the rigid-body Roberts-Chebyshev ... -
Optimal Treatment of Tumor Growth, using Individual Chemotherapy Doses
(2025)This study analyzes a nonlinear model of tumor growth dynamics, describing the interactions between tumor cells, immune system cells and a chemotherapeutic drug. The primary objective is to identify a locally stable ... -
Analysis of Magnetic Force Linearity in Magnetic Levitation Systems
(2025)The important parameters of bar magnet configurations, in which the same poles are facing each other, are investigated with a focus on their potential applications in magnetic levitation. The scalar product of the magnetic ... -
Application of Data Analytics Techniques for Predicting Customer Churn
(2025)This paper deals with the classification of bank customers based on their characteristics. The aim of this research is to provide an optimal model capable of identifying customers who plan to leave the bank in the near ... -
Enhancing Video Forensics: Deep Learning Approaches to Combat Advanced Video Manipulation Techniques
(2025)This research presents a method to efficiently detect facial tampering in videos, and particularly focuses on two recent techniques, used to generate hyper realistic forged videos: Deepfake and Face2Face. Traditional ... -
Machine Learning Algorithms for Dynamic System Identification in Wastewater Treatment Plant
(2025)A comprehensive study on the application of machine learning algorithms for dynamic system identification in wastewater treatment plants (WWTP) is presented. The research focuses on developing a flexible neural network ... -
Comparing the Results Received on Desktop Display and Paper Versions of Four Spatial Ability Test Types
(2025)The spatial skills of freshman engineering students in higher education are investigated in this paper. For the analysis, the Mental Rotation Test, Mental Cutting Test, Purdue Spatial Visualization Test, and Heinrich ... -
Detection of Visual Deepfakes using Deep Convolutional Networks
(2025)With social media being a significant part of everyday life, the possibilities of misinformation spreading in textual, visual or audio form are now significantly in comparison to past. With the onset of widely available ...