受强制性开放获取政策约束的文章 - Marco Caccamo了解详情
无法在其他位置公开访问的文章：5 篇
Schedulability analysis of non-preemptive sporadic gang tasks on hardware accelerators
B Sun, T Kloda, J Chen, C Lu, M Caccamo
2023 IEEE 29th Real-Time and Embedded Technology and Applications Symposium …, 2023
强制性开放获取政策： Federal Ministry of Education and Research, Germany
Physics-Model-Regulated Deep Reinforcement Learning Towards Safety & Stability Guarantees
H Cao, Y Mao, L Sha, M Caccamo
2023 62nd IEEE Conference on Decision and Control (CDC), 8306-8311, 2023
强制性开放获取政策： US National Science Foundation, Federal Ministry of Education and Research …
Minimizing cache usage for real-time systems
B Sun, T Kloda, S Arribas Garcia, G Gracioli, M Caccamo
Proceedings of the 31st International Conference on Real-Time Networks and …, 2023
强制性开放获取政策： Federal Ministry of Education and Research, Germany
Service Class Based Management Framework of Photovoltaic Self-Consumption for Existing Residential Buildings
M Caccamo, D Bernardini
Proceedings of the 10th ACM International Conference on Systems for Energy …, 2023
强制性开放获取政策： Federal Ministry of Education and Research, Germany
Improving the Execution Time of Industrial Applications through Planned Cache Eviction Policy Selection
SA García, G Gracioli, D Hoornaert, T Kloda, M Caccamo
2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE), 1-6, 2023
强制性开放获取政策： Federal Ministry of Education and Research, Germany
可在其他位置公开访问的文章：89 篇
Multi-UAV path planning for wireless data harvesting with deep reinforcement learning
H Bayerlein, M Theile, M Caccamo, D Gesbert
IEEE Open Journal of the Communications Society 2, 1171-1187, 2021
强制性开放获取政策： Agence Nationale de la Recherche, Federal Ministry of Education and Research …
UAV coverage path planning under varying power constraints using deep reinforcement learning
M Theile, H Bayerlein, R Nai, D Gesbert, M Caccamo
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
强制性开放获取政策： European Commission, Federal Ministry of Education and Research, Germany
UAV path planning for wireless data harvesting: A deep reinforcement learning approach
H Bayerlein, M Theile, M Caccamo, D Gesbert
GLOBECoM 2020-2020 IEEE global communications conference, 1-6, 2020
强制性开放获取政策： European Commission, Federal Ministry of Education and Research, Germany
Guaranteed physical security with restart-based design for cyber-physical systems
F Abdi, CY Chen, M Hasan, S Liu, S Mohan, M Caccamo
2018 ACM/IEEE 9th International Conference on Cyber-Physical Systems (ICCPS …, 2018
强制性开放获取政策： US National Science Foundation
A real-time scratchpad-centric os for multi-core embedded systems
R Tabish, R Mancuso, S Wasly, A Alhammad, SS Phatak, R Pellizzoni, ...
2016 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS …, 2016
强制性开放获取政策： US National Science Foundation, Natural Sciences and Engineering Research …
UAV path planning using global and local map information with deep reinforcement learning
M Theile, H Bayerlein, R Nai, D Gesbert, M Caccamo
2021 20th International Conference on Advanced Robotics (ICAR), 539-546, 2021
强制性开放获取政策： Agence Nationale de la Recherche, Federal Ministry of Education and Research …
Global real-time memory-centric scheduling for multicore systems
G Yao, R Pellizzoni, S Bak, H Yun, M Caccamo
IEEE Transactions on Computers 65 (9), 2739-2751, 2015
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
Latency-aware generation of single-rate DAGs from multi-rate task sets
M Verucchi, M Theile, M Caccamo, M Bertogna
2020 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS …, 2020
强制性开放获取政策： European Commission, Federal Ministry of Education and Research, Germany
Designing mixed criticality applications on modern heterogeneous mpsoc platforms
G Gracioli, R Tabish, R Mancuso, R Mirosanlou, R Pellizzoni, M Caccamo
31st Euromicro Conference on Real-Time Systems (ECRTS 2019), 2019
强制性开放获取政策： US National Science Foundation, Natural Sciences and Engineering Research …
Preserving physical safety under cyber attacks
F Abdi, CY Chen, M Hasan, S Liu, S Mohan, M Caccamo
IEEE Internet of Things Journal 6 (4), 6285-6300, 2018
强制性开放获取政策： US National Science Foundation, Federal Ministry of Education and Research …
Application and system-level software fault tolerance through full system restarts
F Abdi, R Tabish, M Rungger, M Zamani, M Caccamo
Proceedings of the 8th International Conference on Cyber-Physical Systems …, 2017
强制性开放获取政策： US National Science Foundation, German Research Foundation
Real-time reachability for verified simplex design
TT Johnson, S Bak, M Caccamo, L Sha
ACM Transactions on Embedded Computing Systems (TECS) 15 (2), 1-27, 2016
强制性开放获取政策： US National Science Foundation
A real-time scratchpad-centric os with predictable inter/intra-core communication for multi-core embedded systems
R Tabish, R Mancuso, S Wasly, R Pellizzoni, M Caccamo
Real-Time Systems 55, 850-888, 2019
强制性开放获取政策： US National Science Foundation, Natural Sciences and Engineering Research …
Reset-based recovery for real-time cyber-physical systems with temporal safety constraints
FAT Abad, R Mancuso, S Bak, O Dantsker, M Caccamo
2016 IEEE 21st International Conference on Emerging Technologies and Factory …, 2016
强制性开放获取政策： US National Science Foundation
WCET derivation under single core equivalence with explicit memory budget assignment
R Mancuso, R Pellizzoni, N Tokcan, M Caccamo
Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 2017
强制性开放获取政策： US National Science Foundation, Natural Sciences and Engineering Research …
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