Katalog der Deutschen Nationalbibliothek
Ergebnis der Suche nach: "Kiel"
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| Link zu diesem Datensatz | https://d-nb.info/1379633931 |
| Titel | Architecture of Computing Systems : 38th International Conference, ARCS 2025, Kiel, Germany, April 22–24, 2025, Proceedings / edited by Sven Tomforde, Christian Krupitzer, Stéphane Vialle, Estela Suarez, Thilo Pionteck |
| Person(en) |
Tomforde, Sven (Herausgeber) Krupitzer, Christian (Herausgeber) Vialle, Stéphane (Herausgeber) Suarez, Estela (Herausgeber) Pionteck, Thilo (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2026 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2026 |
| Umfang/Format | Online-Ressource, XX, 488 p. 151 illus., 125 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-032-03280-5 Printed edition:: ISBN: 978-3-032-03282-9 |
| Inhalt | -- Main Track : -- Progressing Non-blocking Two-Sided Communication Using BlueField DPUs. -- Efficient Parallel Fuzzy Dilation for Visual Reasoning: Leveraging ARM CPUs and NVIDIA GPUs on Embedded Systems. -- Optimized Ternary Signed Digit Addition on Field Programmable Gate Arrays. -- FSST Compression of JSON Data on FPGAs. -- CHaOS: A Persistent Lightweight Cache Hybridization-aware OS. -- MxGPU: A Case Study on OS-Controlled GPGPU Multiplexing. -- Towards Complete Open-source Environments: FPGA-Based GPU Overlay Controlled by RISC-V. -- Revisiting Gradient Direction Algorithms in Electrostatic Placers. -- ZTL: Enabling Zoned Namespace Support for File Systems. -- Spend More to Save More (SM2): An Energy and Hardware-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization. -- OpenVADL: An Open Source Implementation of the Vienna Architecture Description Language. -- A SIMD MAC RISC-V Extension with Approximate Multipliers for Accelerating CNN Inference in Tiny Embedded Devices. -- Wildcat: Educational RISC-V Microprocessors. -- Special Track on Organic Computing (OC) : -- Location based Probabilistic Load Forecasting of EV Charging Sites: Deep Transfer Learning with Multi-Quantile Temporal Convolutional Network. -- Unsupervised Anomaly Detection in Cellular Modem Metrics Using Deep Autoencoders. -- Hyperparameter Optimization for PSO-Based Energy-Aware Path Planning for AUV Swarms. -- Process-Level Simulation Testbed for Assessing Field Robot Swarms. -- Neural Rules for Reinforcement Learning with XCSF as Controller in Organic Computing Systems. -- Evaluating Adaptive Systems: A Comparative Study of XCS and Established Reinforcement Learning Algorithms in Noisy Multi-Step Environments. -- A Measurement Framework at Global and Local Levels for Hybrid Organic Computing Systems. -- Exploring Model Quantization in GenAI-based Image Inpainting and Detection of Arable Plants. -- Unify: Uncertainty incorporated Federated Learning for Object Detection. -- Special Track on Dependability and Fault Tolerance (VERFE): -- Extension of 2-bit error correcting BCH codes with simple decoding. -- Reduction of Average-Performance Degradation and Variance in Faulty CPU Cache Memories. -- PhD Forum : -- A System Model for Flexible Multi-Objective Adaptation Planning in Hybrid Self-Adaptive and Self-Organizing Systems. -- Dynamic Multimodal Cyclist Behaviour Modelling: From Representation Insights to Federated Collaboration . -- Self-explanation of System Behaviour in Organic Computing Systems. -- Enhancing Dynamic Scene Understanding in Manual Assembly Processes. -- Situational Awareness by Audio Signals in Maritime Application . -- A Vision for Deep Reinforcement Learning with a Classi er System. -- AI-based computer vision methods to monitor emission-relevant parameters in livestock barns. -- Open the Black Box: Self-Explainability of AI in Autonomous Marine Systems. -- Leveraging Application-Speci c Knowledge for Energy-E cient Deep Learning Accelerators on Resource-Constrained FPGAs. -- Research Groups : -- Presentation of the joint research project FORnanoSatellites. -- Feedback-guided Dataset Shaping for Automated Downstream Task Optimization. -- Disruptive Memory Technologies: An Overview of DFG Priority Program 2377 |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2510230407019.322968116425 DOI: 10.1007/978-3-032-03281-2 |
| URL | https://doi.org/10.1007/978-3-032-03281-2 |
| ISBN/Einband/Preis | 978-3-032-03281-2 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15839 |
| DDC-Notation | 004.2 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |

