WAIT 2024 (February 6)
Date of the conference: February 6 (Tuesday), 2024
Venue of the conference: BME Building Q, room BF08
Full paper submission deadline: January 14, 2024
WAIT 2024 program (February 6, Tuesday, 2024)
Cloud computing (chairman: Balázs Goldschmidt)
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Zoltán István Karsa VM placement load balancing between data centers |
8.00 |
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Imre Szeberényi and Tamás Máray High Performance Computing past and present |
8.20 |
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Zoltán István Karsa Improve IO performance in cloud computing at KVM/QEMU hypervisor |
8.40 |
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Imre Szeberényi and Zoltán István Karsa Usage of CIRCLE Cloud at BME VIK |
9.00 |
Machine vision with deep learning (chairman: Balázs Csébfalvi)
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Tamás Márk Fehér and Márton Szemenyei Spatial Attacks in Monocular Depth Estimation |
9.30 |
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Blanka Bencsik and Márton Szemenyei Multi-Domain Structural Pruning with Reinforcement Learning |
9.50 |
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Ádám Kürti and Márton Szemenyei Spatially Adaptive License Plate Recognition and Monocular Speed Estimation for Vehicle Surveillance Systems |
10.10 |
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György Richárd Bogár and Márton Szemenyei Pretraining Vision Encoders on Semantic Data |
10.30 |
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Erik Szász, Morui Zhu, Márton Vaitkus, and Mátyás Szántó Enhancing Street-Level Environment Modelling Using 3D Gaussian Splatting |
10.50 |
Computational physics and visualization (chairman: László Szécsi)
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András Fridvalszky and László Szirmay-Kalos Visualization of the Expanding Universe |
11.20 |
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Zoltán Simon Time evolution simulation of the quantum mechanical wave function in 3D space |
11.40 |
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András Fridvalszky, László Szécsi, Dóra Varnyú, J.Imre Barabás, Áron Ghimessy, László Szilassy, and László Szirmay-Kalos The GAMMA Surgical Guidance System |
12.00 |
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Dóra Varnyú and László Szirmay-Kalos Automatic Tumor Contouring and Staging |
12.20 |
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Balázs Csébfalvi An Analysis of Practical Interpolation Filters in terms of Curvature Reconstruction |
12.40 |
Artificial Intelligence and Software Engineering (chairman: István Harmati)
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Balázs Goldschmidt, Balázs Simon and Zoltán István Karsa The capabilities of ChatGPT 3.5 solving CS exam problems |
13.00 |
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Luu Tung Hai and Márton Szemenyei Enhancing Model Performance through Real and Distilled Dataset Fusion |
13.20 |
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Osama A. Salman and Gábor Hosszú Using distance-based methods to calculate optimal and suboptimal parsimony trees |
13.40 |
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Katalin Balla TMMi Structure - to Change or not to Change |
14.00 |
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Balázs Simon, Balázs Goldschmidt and Zoltán István Karsa MetaGenerator: a Template-Based Code Generator Language for .NET |
14.20 |
Control engineering and autonomous driving (chairman: Emese Gincsainé Szádeczky-Kardoss)
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Sára Szénási and István Harmati On a Reach-Avoid Problem |
14.40 |
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Zoltán Téczely and Bálint Kiss Fuzzy H∞ control of a Steer-by-Wire system subject to actuator saturation |
15.00 |
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Gábor Paczolay and István Harmati Improving Deep Deterministic Policy Gradient Algorithms by Critic-based Action Certainty Estimation |
15.20 |
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Zoltán Gyenes, Barnabás Finta, Bálint Kiss and Emese Gincsainé Szádeczky-Kardoss Safety Acceleration Velocity Obstacle method |
15.40 |
Biomedical engineering (chairman: Bálint Kiss)
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Ameer Alsultani, Omer S. Alkhafaf, J. Geoffrey Chase, and Balázs Benyó Design a Stepped Impedance Resonator Microstrip Filter for Glucose Concentration Detection |
16.10 |
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Petra Pintér, Bálint Szabó, Ákos Szlávecz, J. Geoffrey Chase and Balázs Benyó Insulin sensitivity prediction for the STAR protocol using quantile regression |
16.30 |
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Omer S. Alkhafaf, Ameer B. Alsultani, Ákos Szlávecz, Alaa N. Roel, Béla Paláncz, Bálint Szabó, Cong Zhou, J. Geoffrey Chase, and Balázs Benyó Quantile Regression Based Prediction of Insulin Sensitivity Using Neural Network Model for Better Glycaemic Control in Intensive Care |
16.50 |
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Alaa N. Roel, Omer S. Alkhafaf, Ameer B. Alsultani, Ákos Szlávecz, Béla Paláncz, Bálint Szabó, Cong Zhou, J. Geoffrey Chase, and Balázs Benyó Prediction of Insulin Sensitivity Using Neural Network Based Quantile Regression: In-Silico Validation |
17.10 |