Proceedings of the Automation and Applied Computer Science Workshop 2025

Vajk, István [Vajk, István (Irányítástechnika...), szerk.] Automatizálási és Alkalmazott Informatikai Tanszék (BME / VIK); Dunaev, Dmitriy [Dunaev, Dmitriy (Computer Science), szerk.] Automatizálási és Alkalmazott Informatikai Tanszék (BME / VIK)

Angol nyelvű Konferenciakötet (Könyv) Tudományos

Megjelent: Budapest University of Technology and Economics, Department of Automation and Applied Informatics, Budapest, Magyarország, 331 p. 2025

Konferencia: Automation and Applied Computer Science Workshop, AACS 2025 2025-06-27 [Budapest, Magyarország]

Azonosítók

MTMT: 36229366
ISBN: 9789634219989
autopszia:

Szakterületek:

Villamosmérnöki és informatikai tudományok

Fejezetek

Dancsó Marcell et al. Enhancing Sign Language Translation with Graph Neural Networks for Hand Pose Classification and Fingerspelling Sequence Translation. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 10-21
Almaameri Ihab et al. Optimization of Drone Base Station Placement Using Adaptive Meta-Heuristic Algorithm. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 22-31
Davletov Mark et al. Evaluation of LLM usage in the context of BI systems. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 32-43
Ramirez Oliver et al. Exploring the Relationship Between Code Metrics and the Ability of Large Language Models to Solve Code Issues. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 44-55
Trautsch László Kálmán. An Iterative Preprocessing Method and Constraint Programming Formulation for the Train Dispatching Problem. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 56-67
Tóth-Katona Tamás. Observer Structures for Electromechanical Applications with Large Hysteresis. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 68-79
Lucz Géza et al. Weighted Transformer Classifier for User-Agent Progression Modeling, Bot Contamination Detection, and Traffic Trust Scoring. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 80-91
Szécsényi Nándor. Pseudo Active Noise Cancellation in Electric Vehicles. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 92-102
Domonkos Ádám et al. A Case Study on the Vulnerabilities of Static Access Tokens in Client-Side Applications. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 103-114
Béres Bálint et al. Multi-modal label-free single-cell classification using Resonant Waveguide Grating biosensor-based cell adhesion kinetics. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 115-128
Tevesz Judit et al. Synthetic Data for Cognitive Diagnosis: Enabling Accurate and Efficient Inference with NeuroCDM. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 129-140
Morvay Balázs Tibor et al. Cross-subject EEG signal classification using optimal transport. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 141-150
Knyihár Gábor. Segmentation of CT Images of Concrete Samples using UNet-based Deep Learning Models for Aggregate Identification. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 151-162
Stranyóczky László. Predictive Midpoint Voltage Ripple Reduction of Three-Level Inverters Using Dynamic Sector Adjustment. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 163-172
Krebs Áron Antal et al. Time series deep neural network and Mixture Density Network based stock price prediction using ensemble models. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 173-184
Puskin Artyom et al. Generalization in Audio Deepfake Detection Systems. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 185-194
Dongó Tamás et al. Tangible User Interface Design in the context of Collaborative Urban Planning. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 195-206
Kvancz Balázs et al. A Reference Architecture for Distributed, Privacy-Conscious Machine Learning Applications in the Edge. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 207-218
Békési Gergő Bendegúz et al. Assessing the sensitivity of license plate recognition to country-specific format challenges and weather conditions. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 219-230
Bácsi Sándor et al. Bridging Requirements and Configurations: A Multi-Level Approach to System Design. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 231-241
Gembela Gergely et al. A Modern Compiler Frontend for Dynamic Metamodeling. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 242-247
Orvai Róbert et al. Multi-Objective Topology Optimization of EMI Filters in Power Electronics. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 248-256
Szalka Panka et al. Digital twin technology: general application, challenges, and potentials in healthcare. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 257-266
Szelle Csaba et al. Developing a maintainable voice assistant with modern AI technologies. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 267-275
AL-ghourani Kawthar. Steel Fiber Tracking Across DICOM Slices Using Threshold-Based Segmentation and Overlapping Label Propagation. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 276-283
Szekeres Kornél et al. Robust Chest and Rib Cage Localization Using Optimized YOLO Models. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 284-290
Abonyi-Tóth Barbara et al. Finding the optimal layout of viewpoints covering a known grid map. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 291-302
Szinyéri Bence et al. Deep learning-based vehicle speed measurement method in Bridge Weigh-In-Motion by using sensors in one cross-section. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 303-314
Kranitz Krisztian et al. Outdoor robotics challenges survey focusing on agricultural applications. (2025) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2025 pp. 323-331

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Proceedings of the Automation and Applied Computer Science Workshop 2025

Vajk, István [Vajk, István (Irányítástechnika...), szerk.] Automatizálási és Alkalmazott Informatikai Tanszék (BME / VIK); Dunaev, Dmitriy [Dunaev, Dmitriy (Computer Science), szerk.] Automatizálási és Alkalmazott Informatikai Tanszék (BME / VIK)

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