Artykuły w czasopismach na temat „Probabilistic execution time”
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Tongsima, S., E. H. M. Sha, C. Chantrapornchai, D. R. Surma i N. L. Passos. "Probabilistic loop scheduling for applications with uncertain execution time". IEEE Transactions on Computers 49, nr 1 (2000): 65–80. http://dx.doi.org/10.1109/12.822565.
Pełny tekst źródłaDraskovic, Stefan, Rehan Ahmed, Pengcheng Huang i Lothar Thiele. "Schedulability of probabilistic mixed-criticality systems". Real-Time Systems 57, nr 4 (21.02.2021): 397–442. http://dx.doi.org/10.1007/s11241-021-09365-4.
Pełny tekst źródłaSantos, R., J. Santos i J. Orozco. "Hard Real-Time Systems with Stochastic Execution Times: Deterministic and Probabilistic Guarantees". International Journal of Computers and Applications 27, nr 2 (styczeń 2005): 57–62. http://dx.doi.org/10.1080/1206212x.2005.11441758.
Pełny tekst źródłaJimenez Gil, Samuel, Iain Bate, George Lima, Luca Santinelli, Adriana Gogonel i Liliana Cucu-Grosjean. "Open Challenges for Probabilistic Measurement-Based Worst-Case Execution Time". IEEE Embedded Systems Letters 9, nr 3 (wrzesień 2017): 69–72. http://dx.doi.org/10.1109/les.2017.2712858.
Pełny tekst źródłaXiao, Peng, Dongbo Liu i Kaijian Liang. "Improving scheduling efficiency by probabilistic execution time model in cloud environments". International Journal of Networking and Virtual Organisations 18, nr 4 (2018): 307. http://dx.doi.org/10.1504/ijnvo.2018.093651.
Pełny tekst źródłaXiao, Peng, Dongbo Liu i Kaijian Liang. "Improving scheduling efficiency by probabilistic execution time model in cloud environments". International Journal of Networking and Virtual Organisations 18, nr 4 (2018): 307. http://dx.doi.org/10.1504/ijnvo.2018.10014681.
Pełny tekst źródłaRen, Jiankang, Zichuan Xu, Chao Yu, Chi Lin, Guowei Wu i Guozhen Tan. "Execution allowance based fixed priority scheduling for probabilistic real-time systems". Journal of Systems and Software 152 (czerwiec 2019): 120–33. http://dx.doi.org/10.1016/j.jss.2019.03.001.
Pełny tekst źródłaLacerda, Bruno, David Parker i Nick Hawes. "Multi-Objective Policy Generation for Mobile Robots under Probabilistic Time-Bounded Guarantees". Proceedings of the International Conference on Automated Planning and Scheduling 27 (5.06.2017): 504–12. http://dx.doi.org/10.1609/icaps.v27i1.13865.
Pełny tekst źródłaChanel, Caroline, Charles Lesire i Florent Teichteil-Königsbuch. "A Robotic Execution Framework for Online Probabilistic (Re)Planning". Proceedings of the International Conference on Automated Planning and Scheduling 24 (11.05.2014): 454–62. http://dx.doi.org/10.1609/icaps.v24i1.13669.
Pełny tekst źródłaFusi, Matteo, Fabio Mazzocchetti, Albert Farres, Leonidas Kosmidis, Ramon Canal, Francisco J. Cazorla i Jaume Abella. "On the Use of Probabilistic Worst-Case Execution Time Estimation for Parallel Applications in High Performance Systems". Mathematics 8, nr 3 (1.03.2020): 314. http://dx.doi.org/10.3390/math8030314.
Pełny tekst źródłaHardy, Damien, i Isabelle Puaut. "Static probabilistic worst case execution time estimation for architectures with faulty instruction caches". Real-Time Systems 51, nr 2 (5.11.2014): 128–52. http://dx.doi.org/10.1007/s11241-014-9212-x.
Pełny tekst źródłaAl-Refaie, Abbas, Ahmad Al-Hawadi, Natalija Lepkova i Ghaleb Abbasi. "BLOCKCHAIN OF OPTIMAL MULTIPLE CONSTRUCTION PROJECTS PLANNING UNDER PROBABILISTIC ARRIVAL AND STOCHASTIC DURATIONS". JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 29, nr 1 (3.01.2023): 15–34. http://dx.doi.org/10.3846/jcem.2023.17927.
Pełny tekst źródłaGhazi, Alaa, i Yasir Hashim. "Probabilistic Modeling for Conditional Statements". AIUB Journal of Science and Engineering (AJSE) 22, nr 3 (22.12.2023): 271–78. http://dx.doi.org/10.53799/ajse.v22i3.841.
Pełny tekst źródłaStemmer, Ralf, Hai-Dang Vu, Sébastien Le Nours, Kim Grüttner, Sébastien Pillement i Wolfgang Nebel. "A Measurement-Based Message-Level Timing Prediction Approach for Data-Dependent SDFGs on Tile-Based Heterogeneous MPSoCs". Applied Sciences 11, nr 14 (20.07.2021): 6649. http://dx.doi.org/10.3390/app11146649.
Pełny tekst źródłaCaserman, Polona, Clemens Krug i Stefan Göbel. "Recognizing Full-Body Exercise Execution Errors Using the Teslasuit". Sensors 21, nr 24 (15.12.2021): 8389. http://dx.doi.org/10.3390/s21248389.
Pełny tekst źródłaRodriguez Ferrandez, Ivan, Alvaro Jover Alvarez, Matina Maria Trompouki, Leonidas Kosmidis i Francisco J. Cazorla. "Worst Case Execution Time and Power Estimation of Multicore and GPU Software: A Pedestrian Detection Use Case". ACM SIGAda Ada Letters 43, nr 1 (30.10.2023): 111–17. http://dx.doi.org/10.1145/3631483.3631502.
Pełny tekst źródłaGetir Yaman, Sinem, Esteban Pavese i Lars Grunske. "Quantitative Verification of Stochastic Regular Expressions". Fundamenta Informaticae 179, nr 2 (10.03.2021): 135–63. http://dx.doi.org/10.3233/fi-2021-2018.
Pełny tekst źródłaJayakumar, K., i S. Thangavel. "Vibration Analysis of Industrial Drive for Broken Bearing Detection Using Probabilistic Wavelet Neural Network". International Journal of Power Electronics and Drive Systems (IJPEDS) 5, nr 4 (1.04.2015): 541. http://dx.doi.org/10.11591/ijpeds.v5.i4.pp541-551.
Pełny tekst źródłaLakehal, Abderrahim, Adel Alti i Philippe Roose. "Novel Semantic-Based Probabilistic Context Aware Approach for Situations Enrichment and Adaptation". Applied Sciences 12, nr 2 (12.01.2022): 732. http://dx.doi.org/10.3390/app12020732.
Pełny tekst źródłaZhuang, Xueqiu, Huihua Jiao i Kai Lu. "Augmented Reality Interactive Guide System and Method for Tourist Attractions Based on Geographic Location". Journal of Electrical and Computer Engineering 2022 (23.06.2022): 1–13. http://dx.doi.org/10.1155/2022/7606289.
Pełny tekst źródłaSant'Anna, Annibal Parracho. "Probabilistic composition of criteria for schedule monitoring". Pesquisa Operacional 30, nr 3 (grudzień 2010): 751–67. http://dx.doi.org/10.1590/s0101-74382010000300013.
Pełny tekst źródłaBhandari, Guru Prasad, Ratneshwer Gupta i Satyanshu K. Upadhyay. "Colored Petri Nets Based Fault Diagnosis in Service Oriented Architecture". International Journal of Web Services Research 15, nr 4 (październik 2018): 1–28. http://dx.doi.org/10.4018/ijwsr.2018100101.
Pełny tekst źródłaSAXENA, AVINASH, i SHRISHA RAO. "DEGRADATION ANALYSIS OF PROBABILISTIC PARALLEL CHOICE SYSTEMS". International Journal of Reliability, Quality and Safety Engineering 21, nr 03 (czerwiec 2014): 1450012. http://dx.doi.org/10.1142/s0218539314500120.
Pełny tekst źródłaShu, Chang, Yinhui Luo i Fang Liu. "Probabilistic Task Offloading with Uncertain Processing Times in Device-to-Device Edge Networks". Electronics 13, nr 10 (11.05.2024): 1889. http://dx.doi.org/10.3390/electronics13101889.
Pełny tekst źródłaBagaev, Dmitry, i Bert de Vries. "Reactive Message Passing for Scalable Bayesian Inference". Scientific Programming 2023 (27.05.2023): 1–26. http://dx.doi.org/10.1155/2023/6601690.
Pełny tekst źródłaKolomvatsos, Kostas, i Christos Anagnostopoulos. "A probabilistic model for assigning queries at the edge". Computing 102, nr 4 (18.11.2019): 865–92. http://dx.doi.org/10.1007/s00607-019-00767-8.
Pełny tekst źródłaSaint-Guillain, Michael, Tiago Vaquero, Steve Chien, Jagriti Agrawal i Jordan Abrahams. "Probabilistic Temporal Networks with Ordinary Distributions: Theory, Robustness and Expected Utility". Journal of Artificial Intelligence Research 71 (27.08.2021): 1091–136. http://dx.doi.org/10.1613/jair.1.13019.
Pełny tekst źródłaAllam, Tahani M. "MOTIFSM: Cloudera Motif DNA Finding Algorithm". International Journal of Information Technology and Computer Science 15, nr 4 (8.08.2023): 10–18. http://dx.doi.org/10.5815/ijitcs.2023.04.02.
Pełny tekst źródłaMichael, A. Andrew, i Thiagarajan M. "Improving Expected Time Matrix based Queuing Theory for Cache Arrived Probabilistic Execution Model to Reduce Server Utilization for Customer Idle Time". Journal of Advanced Research in Dynamical and Control Systems 12, nr 5 (30.05.2020): 54–64. http://dx.doi.org/10.5373/jardcs/v12i5/20201689.
Pełny tekst źródłaZhou, Wen-Hao, Jun Gao, Zhi-Qiang Jiao, Xiao-Wei Wang, Ruo-Jing Ren, Xiao-Ling Pang, Lu-Feng Qiao, Chao-Ni Zhang, Tian-Huai Yang i Xian-Min Jin. "Timestamp boson sampling". Applied Physics Reviews 9, nr 3 (wrzesień 2022): 031408. http://dx.doi.org/10.1063/5.0066103.
Pełny tekst źródłaLacerda, Bruno, Fatma Faruq, David Parker i Nick Hawes. "Probabilistic planning with formal performance guarantees for mobile service robots". International Journal of Robotics Research 38, nr 9 (16.06.2019): 1098–123. http://dx.doi.org/10.1177/0278364919856695.
Pełny tekst źródłaKim, Youngjoon, i Jiwon Yoon. "MaxAFL: Maximizing Code Coverage with a Gradient-Based Optimization Technique". Electronics 10, nr 1 (24.12.2020): 11. http://dx.doi.org/10.3390/electronics10010011.
Pełny tekst źródłaPOERNOMO, IMAN, HEINZ SCHMIDT i JANE JAYAPUTERA. "VERIFICATION AND PREDICTION OF TIMED PROBABILISTIC PROPERTIES OVER THE DMTF CIM". International Journal of Cooperative Information Systems 15, nr 04 (grudzień 2006): 633–58. http://dx.doi.org/10.1142/s0218843006001517.
Pełny tekst źródłaPotli, Manohar, i Chandrasekhar Reddy Atla. "Stochastic Diffusion Process-based Multi-Level Monte Carlo for Predictive Reliability Assessment of Distribution System". U.Porto Journal of Engineering 7, nr 4 (26.11.2021): 87–102. http://dx.doi.org/10.24840/2183-6493_007.004_0007.
Pełny tekst źródłaSrivastava, Rohini, Basant Kumar, Fayadh Alenezi, Adi Alhudhaif, Sara A. Althubiti i Kemal Polat. "Automatic Arrhythmia Detection Based on the Probabilistic Neural Network with FPGA Implementation". Mathematical Problems in Engineering 2022 (22.03.2022): 1–11. http://dx.doi.org/10.1155/2022/7564036.
Pełny tekst źródłaShalini, Sheel, i Kanhaiya Lal. "Mining Changes in Temporal Patterns in Latest Time Window for Knowledge Discovery". Journal of Information & Knowledge Management 18, nr 03 (wrzesień 2019): 1950028. http://dx.doi.org/10.1142/s021964921950028x.
Pełny tekst źródłaKuźmiński, Łukasz, Zdzisław Kes, Veselin Draskovic, Andrzej Gawlik, Marcin Rabe, Katarzyna Widera, Agnieszka Łopatka i Maciej Śniegowski. "Modelling of the Risk of Budget Variances of Cost Energy Consumption Using Probabilistic Quantification". Energies 16, nr 5 (5.03.2023): 2477. http://dx.doi.org/10.3390/en16052477.
Pełny tekst źródłaLukács, Dániel, Gergely Pongrácz i Máté Tejfel. "Model Checking-Based Performance Prediction for P4". Electronics 11, nr 14 (6.07.2022): 2117. http://dx.doi.org/10.3390/electronics11142117.
Pełny tekst źródłaRohiem, Nasyith Hananur, Adi Soeprijanto, Dimas Fajar Uman Putra, Mat Syai’in, Irrine Budi Sulistiawati, Muhammad Zahoor i Luqman Ali Shah. "Resolving Economic Dispatch with Uncertainty Effect in Microgrids Using Hybrid Incremental Particle Swarm Optimization and Deep Learning Method". Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences 58, S (7.12.2021): 119–29. http://dx.doi.org/10.53560/ppasa(58-sp1)762.
Pełny tekst źródłaKadnova, A. M. "COMPUTER SCIENCE, COMPUTER ENGINEERING AND MANAGEMENT METHODICAL APPROACH TO EVALUATING THE PROBABILISTIC TIME PERFORMANCE INDICATOR OF AUTOMATED ADMINISTRATOR OPERATIONS IN INFORMATION PROTECTION SYSTEMS". Herald of Dagestan State Technical University. Technical Sciences 46, nr 3 (24.11.2019): 87–96. http://dx.doi.org/10.21822/2073-6185-2019-46-3-87-96.
Pełny tekst źródłaRempel, Sergej, Marcus Ricker i Josef Hegger. "Safety Concept for Textile-Reinforced Concrete Structures with Bending Load". Applied Sciences 10, nr 20 (20.10.2020): 7328. http://dx.doi.org/10.3390/app10207328.
Pełny tekst źródłaBlackmore, Lars, Masahiro Ono i Brian C. Williams. "Chance-Constrained Optimal Path Planning With Obstacles". IEEE Transactions on Robotics 27, nr 6 (grudzień 2011): 1080–94. http://dx.doi.org/10.1109/tro.2011.2161160.
Pełny tekst źródłaLI, KEQIN. "AVERAGE-CASE SCALABILITY ANALYSIS OF PARALLEL COMPUTATIONS ON k-ARY d-CUBES". Journal of Interconnection Networks 05, nr 01 (marzec 2004): 27–45. http://dx.doi.org/10.1142/s0219265904001015.
Pełny tekst źródłaLi, Siqiao, Tadashi Dohi i Hiroyuki Okamura. "A Comprehensive Analysis of Proportional Intensity-Based Software Reliability Models with Covariates". Electronics 11, nr 15 (28.07.2022): 2353. http://dx.doi.org/10.3390/electronics11152353.
Pełny tekst źródłaKang, Bong Gu, Kyung-Min Seo i Tag Gon Kim. "Machine learning-based discrete event dynamic surrogate model of communication systems for simulating the command, control, and communication system of systems". SIMULATION 95, nr 8 (28.11.2018): 673–91. http://dx.doi.org/10.1177/0037549718809890.
Pełny tekst źródłaChen, Xing, Umit Ogras i Chaitali Chakrabarti. "Probabilistic Risk-Aware Scheduling with Deadline Constraint for Heterogeneous SoCs". ACM Transactions on Embedded Computing Systems 21, nr 2 (31.03.2022): 1–27. http://dx.doi.org/10.1145/3489409.
Pełny tekst źródłaCanesche, Michael, Westerley Carvalho, Lucas Reis, Matheus Oliveira, Salles Magalhães, Peter Jamieson, Jaugusto M. Nacif i Ricardo Ferreira. "You Only Traverse Twice: A YOTT Placement, Routing, and Timing Approach for CGRAs". ACM Transactions on Embedded Computing Systems 20, nr 5s (31.10.2021): 1–25. http://dx.doi.org/10.1145/3477038.
Pełny tekst źródłaGirtler, Jerzy. "Application of theory of semi-Markov processes to determining distribution of probabilistic process of marine accidents resulting from collision of ships". Polish Maritime Research 21, nr 1 (1.01.2013): 9–13. http://dx.doi.org/10.2478/pomr-2014-0002.
Pełny tekst źródłaKhosravi, Faramarz, Alexander Rass i Jürgen Teich. "Efficient Computation of Probabilistic Dominance in Multi-objective Optimization". ACM Transactions on Evolutionary Learning and Optimization 1, nr 4 (31.12.2021): 1–26. http://dx.doi.org/10.1145/3469801.
Pełny tekst źródłaQu, Chengzhi, Yan Zhang, Xin Zhang i Yang Yang. "Reinforcement Learning-Based Data Association for Multiple Target Tracking in Clutter". Sensors 20, nr 22 (18.11.2020): 6595. http://dx.doi.org/10.3390/s20226595.
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