Browsing 2.02. 2024 Volume 21, Issue No. 10. by Title
Now showing items 1-20 of 32
-
Artificial Intelligence Techniques and Biomimetic Methods Supporting Heat Treatment Processes
(2024)In the last decade several computational methods have been applied successfully to optimize the heat treatment processes. Among others, Biomimetic methods have been developed for solving complex and robust optimization ... -
Chemotherapy optimization and patient model parameter estimation based on noisy measurements
(2024)The application of the achievements of mathematics and informatics greatly helped the devel- opment of medicine. Designing personalized therapies using different algorithms is crucial, especially during chemotherapy, to ... -
Comparative Assessment of Physical and Machine Learning Models for Wind Power Estimation: A Case Study for Hungary
(2024)In the context of the planned mid-term development of wind power plants in Hungary, the authors evaluated the applicability of a physical-based model and several machine-learning models for wind power production estimation ... -
A Comprehensive Study on Cybersecurity Awareness: Adaptation and Validation of a Questionnaire in Hungarian Higher Technical Education
(2024)Background: Cybersecurity is an extremely important topic in the 21 st Century, especially for students in education. It is essential for career development in technical higher education to know how to defend against ... -
Convergence of the Nelder-Mead method for con- vex functions
(2024)We extend several result of Lagarias, Reeds, Wright and Wright [17] for various types of convex functions. The main main convergence theorem of [17] is also generalized to convex functions. We give counterexamples to ... -
Disinformation Campaigns: Battling Misinformation for Resilience in Hybrid Threats Model
(2024)Recognizing truth from lies has become a critical and challenging task in our current environment, which is flooded with abundant information from various sources and platforms. The existence of false information and ... -
Electric Vehicle Charging Socket Detection using YOLOv8s Model
(2024)This paper introduces the utilization of the latest small You Only Look Once version 8 – YOLOv8s convolutional neural network in an automatic electric vehicle charging application study. The employment of a deep ... -
Environmental Effects of Alkaline Degreasing for Automotive, Boat and Machine Industry Purposes
(2024)We focus on the alkaline degreasing process, for the cleaning of the aluminum, iron and steel products, used in automotive, boat manufacturing and machinery applications. The environmental impacts have been evaluated by ... -
Exponential and logarithm on semi-Riemannian manifolds of constant curvature
(2024)The aim of this work is the unified study of the exponential and logarithm maps on semi-Riemannian manifold of constant curvature in order to prove their analytical prop- erties and find their power series expansions. ... -
Eye Gaze Tracking in Robot-Assisted Minimally Invasive Surgery: A Systematic Review of Recent Advances and Applications
(2024)This article provides insights into the utilization of eye gaze tracking technologies in robot-assisted minimally invasive surgery. Ranging from enhancing surgical precision to non-technical skill assessment, workload ... -
Fuzzy FMEA-based Risk Evaluation of Student Software Projects
(2024)Team project work plays an important role in the curriculum of computer science engineering students. It allows students to synthesize the theoretical and practical knowledge and skills acquired during their previous ... -
A General Chip Subpixel Segmentation Localization Method Based on Improved Mayfly Algorithm
(2024)In order to improve the robustness of processing chip images in surface mount technology, especially when it comes to using a single threshold value under different lighting conditions, this paper aims to propose a chip ... -
Inlet Air Flow Sensing for the iSTC-21v Small Jet Engine
(2024)Accurate measurement of the flow rate of air entering the jet engine is very important from the point of view of the design of control algorithms and diagnostic systems (e.g. when classifying situational frameworks of ... -
Integration of Standardised Management Systems
(2024)In economic, political, and natural environments as changing and hazardous as those of our days, far-sighted corporate planning is often impossible. Corporate management has recently been determined, both in Hungary and ... -
Investigating Traditional Machine Learning Models and the Utility of Audio Features for Lightweight Swarming Prediction in Beehives
(2024)Remote monitoring of the status of beehives is essential for efficient beekeeping, leading to less workload on the beekeeper and, because of not opening the hives too frequently, to less stress for the colonies. Sound ... -
Knowledge Base Optimization of the HFRIQ- Learning
(2024)The learning process of conventional reinforcement learning methods, such as Q- learning and SARSA typically start with an empty knowledge base. In each iteration step, the initial empty knowledge base is gradually ... -
Modular C++ Library for Relaxed Unscented Kalman-Filtering
(2024)Filtering and sensor fusion are critical tasks in advanced engineering applica- tions, especially in robotics and autonomous vehicles. It is a general problem that the high accuracy and low computational cost are mutually ... -
Multivariable Steffensen’s Accelerator in Adaptive Sliding Mode Control
(2024)Due to their internal mathematical structure Sliding Mode Controllers (SMC) are robust against the imprecisions of the dynamic model they use for the calculation of the necessary control forces as well as against a priori ... -
On Horizontal Fuzzy Relations and Hypotheses Testing
(2024)Making decisions in conditions of uncertainty is one of today’s everyday problems. Various statistical models have found their place in practical applications, however working with imprecise, quite often fuzzy valued, ... -
Online scheduling with machine cost and a power function objective
(2024)We will consider a power function variant of online scheduling with machine cost. Here, we have a sequence of independent jobs with positive real sizes. Jobs come one by one and we have to assign them irrevocably to a ...