mtmt
Magyar Tudományos Művek Tára
XML
JSON
Átlépés a keresőbe
In English
Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24
Dunaev, Dmitriy [Dunaev, Dmitriy (Computer Science), szerk.] Automatizálási és Alkalmazott Informatikai Tanszék (BME / VIK)
;
Vajk, István [Vajk, István (Irányítástechnika...), szerk.] Automatizálási és Alkalmazott Informatikai Tanszék (BME / VIK)
Angol nyelvű Konferenciakötet (Könyv) Tudományos
Megjelent: Budapesti Műszaki Egyetem (BME), Budapest, Magyarország, 297 p.
2024
Konferencia:
Automation and Applied Computer Science Workshop 2024 2024-06-28 [Budapest, Magyarország]
Azonosítók
MTMT: 34987277
ISBN:
9789634219606
OSZK:
3959492
Fejezetek
Orvai Róbert et al. Common-Mode Noise Reduction Mechanism of Y-Capacitor in Isolated DC/DC Converters. (2024) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24
Torma Szabolcs et al. Possibilities and limitations of diffusion model-based generative modeling of fMRI data. (2024) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24
Husam Kareem et al. Advancing Ring Oscillator PUF: Integrating Configurability, Security, and Performance Enhancements. (2024) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24 p. 1
Nándor Szécsényi. Reinforcement Learning based Control of Electrical Drives. (2024) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24 p. 1
Attila Hideg et al. Visualization of Segmented Organs for Medical XR Application. (2024) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24 p. 30
Stranyóczky László. Optimizing Control Strategies: A Comparative Study of PCMC and PI Techniques in Grid-Connected Inverters. (2024) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24 pp. 46-56
Tóth-Katona Tamás. Optimal reference current computation for IPMSM drives considering iron loss. (2024) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24 pp. 57-69
Alghourani Kawthar. Estimating Porosity Ratio and Spacing Distances for Cement-based Materials by X-ray Computed Tomography. (2024) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24 pp. 70-78
Somogyi Norbert. CTL++: Abstraction-Based Formal Verification of Static Software Modeling Constraints. (2024) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24 pp. 139-147
Kovács László et al. Assembly line balancing with real-time monitoring: introduction to a case-study. (2024) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24 pp. 148-158
Trautsch László Kálmán. Constraint Programming Formulation for a Complex Real-World Final Exam Scheduling Problem. (2024) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24 pp. 159-168
Judit Tevesz. Proximal Policy Optimization in Reinforcement Learning: Investigation of the Value of the Exploration Parameter. (2024) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24 pp. 169-176
Abonyi-Tóth Barbara et al. A comparative analysis of the SRT method for robotic exploration. (2024) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24 pp. 177-189
Gábor Knyihár. Deep Learning Data Augmentation of Raman Maps for Medical Tablet’s Dissolution Prediction. (2024) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24 pp. 201-212
Morvay Balázs Tibor et al. Improving latent fMRI features classification using transformations. (2024) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24 pp. 213-220
Szalka Panka et al. Advancing Indoor Navigation: Integrating Diverse Data Sets with the ICP Algorithm for Enhanced Mapping Precision. (2024) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24 pp. 244-252
Bálint Béres et al. High-throughput evaluation pipeline for the quantitative analysis of Extracellular Vesicles using Super-Resolution Radial Fluctuations Microscopy. (2024) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24 pp. 253-265
Szücs Cintia Lia. Machine learning-based on-line signature verification using different approaches to equalize signature length. (2024) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24 pp. 266-277
Gembela Gergely et al. Extensibility in Modern Compiler Platforms. (2024) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24 pp. 278-283
Bándy Kristóf Gábor. Exact discretization method for the state-space models of surface-mounted PMSM drive systems. (2024) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24 pp. 284-297
Hivatkozás stílusok:
IEEE
ACM
APA
Chicago
Harvard
CSL
Másolás
Nyomtatás
2026-09-09 06:09
×
Lista exportálása irodalomjegyzékként
Hivatkozás stílusok:
IEEE
ACM
APA
Chicago
Harvard
Nyomtatás
Másolás
