Výsledky vyhľadávania - "Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic Engineering"

Enhancing Practicality of Memory Compression for GPUs with High-Throughput Simplifications

Autori: Manuel Renz Sohan Lal

Zdroj: Proceedings of the 22nd ACM International Conference on Computing Frontiers. :124-127

Predmety: Computer Science, Information and General Works::004: Computer Sciences, GPUs, Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic Engineering, Memory Compression, Throughput

Case Study: AI-Driven Log Extraction and Trace Outlier Detection for Efficient Post-Silicon Validation

Autori: Akash, Kowshic A. Wulf, Tobias Valentin, Torsten a ďalší

Zdroj: 2025 IEEE 26th Latin American Test Symposium (LATS). :1-4

Predmety: Trace outlier detection, Machine learning, Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic Engineering, Log extraction, Post-silicon validation, Anomaly detection

AI-Driven Anomaly Detection in Oscilloscope Images for Post-Silicon Validation

Autori: Akash, Kowshic A. Wulf, Tobias Valentin, Torsten a ďalší

Zdroj: 2025 38th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems (VLSID). :290-295

Predmety: Convolutional Autoencoders, Computer Science, Information and General Works::004: Computer Sciences, Artificial Intelligence, MLE@TUHH, Post-Silicon Validation, Anomaly Detection, Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic Engineering

Towards a more efficient congestion management for the transformation of electric distribution grids with increasing share of sector-coupled components

Autori: Steffen, Tom Pfarrherr, Bastian Wiegel, Béla a ďalší

Zdroj: IET Conference Proceedings. 2024:1103-1108

Predmety: Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic Engineering

EdgeMiner: Distributed Process Mining at the Data Sources

Autori: Andersen, Julia Rathje, Patrick Imenkamp, Christian a ďalší

Zdroj: Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing. :705-713

Predmety: In-Network Processing, Computer Science, Information and General Works::004: Computer Sciences, Computer Science - Databases, Computer Science - Distributed, Parallel, and Cluster Computing, Distributed Process Mining, Internet of Things, Scalability, Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic Engineering, Event Data Stream, Computer Science, Information and General Works::005: Computer Programming, Programs, Data and Security

Prístupová URL adresa: http://arxiv.org/abs/2405.03426

Beamforming-enhanced Conditional Handover for Air-to-Ground Communications in 6G

Autori: Neumann, Stefan Meyerhoff, Thomas Shah, Syed Aizaz Ali a ďalší

Zdroj: 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall). :1-6

Predmety: Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic Engineering, 6G | air to ground | beamforming | handover

Feasibility of Direct Air to Ground Communication via a Terrestrial 5G Network

Autori: Shah, Syed Aizaz Ali Meyerhoff, Thomas Schupke, Dominic a ďalší

Zdroj: 2024 IEEE Wireless Communications and Networking Conference (WCNC). :1-6

Predmety: Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic Engineering, 7. Clean energy

Neural Constellation Shaping and Back-Off Training for Memoryless Power Amplifiers

Autori: Kopyto, David Jonas Bauch, Gerhard

Zdroj: 2024 IEEE Wireless Communications and Networking Conference (WCNC). :1-6

Predmety: Nonlinear Channels, Computer Science, Information and General Works::004: Computer Sciences, 0203 mechanical engineering, MLE@TUHH, 9. Industry and infrastructure, Constellation Shaping, 0202 electrical engineering, electronic engineering, information engineering, Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic Engineering, Autoencoders, 02 engineering and technology, Satellite Communications, Technology::620: Engineering

Advancements in Application of a 3T Vertical MRI System for Analyzing Hydrodynamics in Stirred Tank Reactors

Autori: Lenczyk, Till Benders, Stefan Penn, Alexander

Predmety: Magnet Resonance Imaging | Stirred Tank Reactors, Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic Engineering, Technology::616: Deseases, Technology::620: Engineering::620.1: Engineering Mechanics and Materials Science

European Test Symposium Teams: an anniversary snapshot

Autori: Jenihhin, Maksim Raik, Jaan Jutman, Artur a ďalší

Prispievatelia: Jenihhin, Maksim Raik, Jaan Jutman, Artur a ďalší

Predmety: [SPI.NANO] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics, Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic Engineering, Computer Science, Information and General Works::006: Special computer methods::006.3: Artificial Intelligence

Popis súboru: application/pdf

Prístupová URL adresa: https://hal.science/hal-05173907v1/document
https://hal.science/hal-05173907v1
https://doi.org/10.1109/ets63895.2025.11049652

Approximate Minimum Tree Cover in All Symmetric Monotone Norms Simultaneously

Autori: Kaul, Matthias Luo, Kelin Mnich, Matthias a ďalší

Prispievatelia: Kaul, Matthias Luo, Kelin Mnich, Matthias a ďalší

Predmety: all-norm approximation, FOS: Computer and information sciences, Computer Science, Information and General Works::004: Computer Sciences, Computer Science - Data Structures and Algorithms, Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic Engineering, Data Structures and Algorithms (cs.DS), ddc:004, spanning trees, Natural Sciences and Mathematics::519: Applied Mathematics, Probabilities, Clustering, Computer Science, Information and General Works::005: Computer Programming, Programs, Data and Security::005.1: Programming

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2501.05048
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.STACS.2025.57

Enhancing Practicality of Memory Compression for GPUs with High-Throughput Simplifications

Autori: Renz, Manuel Lal, Sohan

Predmety: Computer Science, Information and General Works::004: Computer Sciences, GPUs, Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic Engineering, Memory Compression, Throughput

Tile Quality Detection Device: Internet of Things (IoT) Demonstration Prototype

Autori: Heiden, Bernhard Pacnik, Danijel Pregl, Jessica a ďalší

Zdroj: Proceedings of the 9th International Conference on Internet of Things, Big Data and Security. :209-215

Predmety: Microcontroller, Computer Science, Information and General Works::004: Computer Sciences, Pattern Detection, Arduino UNO, Social Sciences::370: Education, Tile Quality Check, Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic Engineering, IoT-Prototype, Technology::670: Manufacturing, 7. Clean energy, Matlab

Nachhaltiges Bauen durch Building Information Modeling: Eine explorative Analyse und ein methodischer Ansatz zur Verbesserung der Ökobilanzierung

Autori: Thuraisingam, Thujietha Mohan, Nijanthan Groß, Rolf a ďalší

Predmety: Ökobilanzierung, Standardisierung, Computer Science, Information and General Works::006: Special computer methods, Nachhaltigkeit, BIM | Nachhaltigkeit | Ökobilanzierung | Standardisierung | Bauprozesse, Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic Engineering, BIM, Arts::720: Architecture, Bauprozesse, Technology::628: Sanitary, Municipal

How can development plans promote the sustainability of construction projects?

Autori: Luther, Jan Maibaum, Jonas

Predmety: design automation, Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic Engineering, Building information modeling (BIM), Arts::720: Architecture, Technology::630: Agriculture, energy simulation, algorithms, Technology::628: Sanitary, Municipal, Arts::711: Area Planning (Civic Art)::711.4: Local Community planning (City Planning)

Joint triple Extraction for construction regulatory documents using graph neural networks

Autori: Ali, Sherief

Predmety: Information extraction, Code Compliance, Joint entity recognition, Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic Engineering, Relation extraction, Technology::624: Civil Engineering, Environmental Engineering, Graph neural networks, Computer Science, Information and General Works::005: Computer Programming, Programs, Data and Security

Building facade evaluation using instance segmentation on thermal images

Autori: Cones, Gerda Collins, Fiona Noichl, Florian

Predmety: Computer Science, Information and General Works::006: Special computer methods, instance segmentation, dataset, deep learning, Thermal performance assessment | deep learning | instance segmentation | dataset, Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic Engineering, Thermal performance assessment, Technology::624: Civil Engineering, Environmental Engineering

Distance-based Loss Function for Machine Learning in Image Segmentation of Concrete Cracks

Autori: Özcan, Baris Schmiedecke, Fabian Alexander

Predmety: Machine Learning, Computer Vision, Loss Functions, Concrete Crack Detection | Computer Vision | Machine Learning | Image Segmentation | Loss Functions, Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic Engineering, Concrete Crack Detection, Image Segmentation, Technology::624: Civil Engineering, Environmental Engineering, Technology::620: Engineering

Developing rule-based model checking for verifying energy properties of windows : Promoting sustainable construction practices

Autori: Riyaz, Janees Emara, Merna

Predmety: Building Information Modelling (BIM), Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic Engineering, Arts::720: Architecture, sustainable design, custom rulesets, energy efficiency, model checking

Nachhaltigkeitsbewertungen durch IoT-gestützte Auswertung von Nutzerverhalten im Rahmen des As-Used BIM

Autori: Gehring, Maximilian Luo, Yunqing

Predmety: IoT, Computer Science, Information and General Works::006: Special computer methods, as-used BIM, Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic Engineering, Arts::720: Architecture, Nachhaltigkeitsbewertung, IoT | as-used BIM | Nachhaltigkeitsbewertung, Technology::628: Sanitary, Municipal