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Proceedings of the Automation and Applied Computer Science Workshop 2023 (AACS'23)
Vajk, István [Vajk, István (Irányítástechnika...), szerk.] Automatizálási és Alkalmazott Informatikai Tanszék (BME / VIK)
;
Dmitriy, Dunaev [Dunaev, Dmitriy (Computer Science), szerk.] Automatizálási és Alkalmazott Informatikai Tanszék (BME / VIK)
Angol nyelvű Konferenciakötet (Könyv) Tudományos
Megjelent: Budapesti Műszaki Egyetem, Automatizálási és Alkalmazott Informatikai Tanszék, Budapest, Magyarország
2023
Konferencia:
Automation and Applied Computer Science Workshop, AACS 2023 2023-07-07 [Budapest, Magyarország]
Azonosítók
MTMT: 34051102
ISBN:
9789634219262
Fejezetek
Mrad Mohamed Azouz et al. Droplet Based Prediction of Viscosity of Water-PVP Solutions Using Convolutional Neural Networks. (2023) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2023 (AACS'23) pp. 1-15
Kristóf Bándy. Quadratic Regression Model Based Model Predictive Control of Induction Machines Constrained to the Linear Modulation Range. (2023) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2023 (AACS'23) pp. 9-20
Gábor Knyihár et al. In vitro Dissolution Prediction using Deep Convolutional Neural Networks. (2023) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2023 (AACS'23) pp. 27-38
Stranyóczky László. Development and Testing Midpoint Voltage Balance Technique of Three-level Inverters. (2023) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2023 (AACS'23) pp. 54-63
Nándor Szécsényi. Efficient Annotation Methods for Industrial Datasets using Artificial Intelligence. (2023) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2023 (AACS'23) pp. 64-75
Mustafa Shubbar et al. Application of spherical lenses for efficiency enhancement of rectenna-based IR energy harvesting systems. (2023) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2023 (AACS'23) pp. 76-82
Tevesz Judit. Predicting the Conversion Rate in Recommendation Systems with Deep Learning Models. (2023) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2023 (AACS'23) pp. 83-91
Trautsch László Kálmán et al. A General Format for Graph-Based Modelling of Scheduling Problems. (2023) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2023 (AACS'23) pp. 92-102
Fehér Tamás Márk et al. The Effect of Lossy Compressed Data on Monocular Depth Estimation. (2023) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2023 (AACS'23) pp. 115-128
Torma Szabolcs et al. Effect of Distillation on an EEG-generating Diffusion Probabilistic Model. (2023) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2023 (AACS'23) pp. 129-138
Tóth-Katona Tamás. Investigation of Field Weakening Operation of Interior Permanent Magnet Synchronous Machine. (2023) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2023 (AACS'23) pp. 139-150
Somogyi Norbert. Towards Abstraction-Based Formal Verification of Static Modeling Constraints. (2023) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2023 (AACS'23) pp. 174-185
Morvay Balázs Tibor et al. Keypoint-keeping Super-Resolution. (2023) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2023 (AACS'23) pp. 186-192
Abonyi-Tóth Barbara et al. Autonomous Exploration in Tree-Structured and Looped Environments. (2023) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2023 (AACS'23) pp. 193-204
Kareem Husam et al. Advancements of Ring Oscillator PUFs using Xilinx FPGA: Design Challenges, Solutions, Control, and Performance. (2023) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2023 (AACS'23) p. 213
Béres Bálint et al. Deep Learning based Image Super-Resolution for Mapping Widefield to Single Molecule Localization Microscopy Images. (2023) Megjelent: Proceedings of the Automation and Applied Computer Science Workshop 2023 (AACS'23) pp. 225-232
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2025-02-11 16:35
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