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Author search results
Likely matches
- Valéria Cesário Times
- Ali Al-Timemy
aka: Ali H. Al-Timemy - Timea Bezdan
- Timea Illes-Seifert
aka: Timea Illes, Timea Monika Illes-Seifert
Heidelberg University, Germany - Lionel Tim-Ee Cheng
Venue search results
Likely matches
- International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
also: International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data (STIA @ MICCAI) - Real-Time Systems
- European Conference on Parallel Processing (Euro-Par)
also: Workshop on Real-Time Interactive Applications on the Grid (ROIA @ Euro-Par) - Symposium on Operating Systems Principles (SOSP)
also: ACM SIGOPS Conference on Timely Results in Operating Systems (TRIOS @ SOSP) - International Conference on High Performance Embedded Architectures and Compilers (HiPEAC)
also: Workshop on Next Generation Real-Time Embedded Systems (NG-RES @ HiPEAC)
also: Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures (PARMA @ HiPEAC)
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Publication search results
found 270,367 matches
- 2025
- Guanchao Zhu, Min Luo, Guozeng Cui, Ze Li:
Dynamic event-triggered predefined-time adaptive attitude control for a QUAV with unknown deception attacks. Appl. Math. Comput. 485: 129003 (2025) - Yoonhyung Lee, Kyomin Jung
:
TadaStride: Using time adaptive strides in audio data for effective downsampling. Comput. Speech Lang. 89: 101678 (2025) - José-Luis Casado-Rubio, Israel Villarrasa-Sapiña, Xavier García-Massó, Gonzalo Monfort-Torres:
Differences in hand acceleration and digital reaction time between different skill levels of Counter Strike players. Entertain. Comput. 52: 100797 (2025) - Yanmei Geng:
Entertainment robots based on digital new media application in real-time error correction mode for Chinese English translation. Entertain. Comput. 52: 100789 (2025) - Ting Cai
, Pei Cheng, Xing Liu, Mingang Hua:
Almost sure exponential stability and stochastic stabilization of discrete-time stochastic systems with impulses. J. Comput. Appl. Math. 453: 116152 (2025) - Stathis Chadjiconstantinidis, Konstadinos Politis
:
Bounds for the distribution and moments of the forward and backward recurrence times in a renewal process. J. Comput. Appl. Math. 454: 116166 (2025) - Mengrao Ma, Linmin Hu
, Lin Wang, Xiaoyun Yu:
Stochastic modeling and optimization of discrete-time cold standby repairable systems with unreliable repair facility and retrial mechanism. J. Comput. Appl. Math. 453: 116134 (2025) - Weiwen Wang
, Chuanju Xu:
A class of efficient high-order time-stepping methods for the anisotropic phase-field dendritic crystal growth model. J. Comput. Appl. Math. 453: 116161 (2025) - Kotadai Zourmba
, Joseph Yves Effa, Clovis Fischer, José David Rodríguez-Muñoz, Maria Fernanda Moreno-Lopez
, Esteban Tlelo-Cuautle
, Jean De Dieu Nkapkop:
Fractional order 1D memristive time-delay chaotic system with application to image encryption and FPGA implementation. Math. Comput. Simul. 227: 58-84 (2025) - Mojtaba A. Farahani, M. R. McCormick, Ramy F. Harik, Thorsten Wuest
:
Time-series classification in smart manufacturing systems: An experimental evaluation of state-of-the-art machine learning algorithms. Robotics Comput. Integr. Manuf. 91: 102839 (2025) - Chengzhi Ji, Xin Zhou:
Signal as Point: Deep Learning Signal Detector on Time Domain. WoWMoM 2025: 130-137 - 2024
- Thomas Carle:
Parallelism and timing predictability in real-time systems. Paul Sabatier University, Toulouse, France, 2024 - Giorgio Buttazzo:
Hard Real-Time Computing Systems - Predictable Scheduling Algorithms and Applications, 4th Edition. Springer 2024, ISBN 978-3-031-45409-7, pp. 1-492 - Junyi Wang, Jun Fu:
Synchronization Control of Markovian Complex Neural Networks with Time-varying Delays. Springer 2024, ISBN 978-3-031-47834-5, pp. 1-148 - Yaarit Miriam Cohen:
Optimizing Time Sensitive Supply Chain Networks: Restoration, Operations and Design. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - Alina Dubatovka:
Interpretable and robust Machine Learning models for time-series analysis in cardiology. ETH Zurich, Zürich, Switzerland, 2024 - Oscar van der Heide:
In vivo validation of Magnetic Resonance Spin Tomography in Time-domain. Utrecht University, Netherlands, 2024 - Jie Jian:
Edge Estimation and Community Detection in Time-varying Networks. University of Waterloo, Ontario, Canada, 2024 - Antti Keurulainen:
Real-time and sample-efficient learning of computationally rational user models ; Reaaliaikaisia ja näytetehokkaita menetelmiä rationaalisten käyttäjämallien oppimiseen. Aalto University, Espoo, Finland, 2024 - HeuiChan Lim:
Automated Localization of Dynamic Code Generation Bugs in Just-in-Time Compilers. University of Arizona, Tucson, USA, 2024 - Nicolas El Maalouly:
Towards a Deterministic Polynomial Time Algorithm for the Exact Matching Problem. ETH Zurich, Zürich, Switzerland, 2024 - Thorsten Rings:
Characterizing Time-Evolving Functional Networks. University of Bonn, Germany, 2024 - Christopher J. Urban:
Modeling Intensively Measured, Longitudinal, and Multidimensional Item Responses: Capturing Continuous-Time Latent Change Processes via Neural Stochastic Differential Equations. University of North Carolina, Chapel Hill, USA, 2024 - Yanbo Xu:
Robust Representation Learning and Real-Time Serving of Deep Models for Health Time Series. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - Yuanda Zhu:
Developing Novel NLP-Enabled Timely and Accurate Decision Making for Precision Medicine. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - Bella Zhukova:
New space-time trade-offs for pattern matching with compressed indexes. University of Helsinki, Finland, 2024 - Shivam Agarwal:
Exploring Complex Group Dynamics: Visual Analysis of Overlapping Groups and Interactions Over Time. University of Duisburg-Essen, Germany, 2024 - Yuriy Anisimov:
Real-time Depth Estimation from Light Fields on Embedded Hardware. Kaiserslautern University of Technology, Germany, 2024 - Batbayar Battseren:
Software Architecture for Real-Time Image Analysis in Autonomous MAV Missions. Chemnitz University of Technology, Germany, 2024, ISBN 978-3-96100-214-6, pp. 1-195 - Marin Bilos:
Machine Learning for Irregularly-Sampled Time Series. Technical University of Munich, Germany, 2024
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