Výsledky vyhledávání - acm: c.: computer system organisation/c.4: performance of system/c.4.3: modeling techniques~

1. American Heart Association. (2021). Heart disease and stroke statistics—2021 update. Circulation, 143(8), e254-e743. 2. Rahman, M., Al Amin, M., Hasan, R., Hossain, S. T., Rahman, M. H., & Rashed, R. A. M. (2025). A Predictive AI Framework for Cardiovascular Disease Screening in the US: Integrating EHR Data with Machine and Deep Learning Models. British Journal of Nursing Studies, 5(2), 40-48. 3. ZakirHossain, M., Khan, M. M., Thapa, S., Uddin, R., Meem, E. J., Niloy, S. K., ... & Bhavani, G. D. (2025, February). Advanced Deep Learning Techniques for Precision Diagnosis of Tea Leaf Diseases. In 2025 IEEE International Conference on Emerging Technologies and Applications (MPSec ICETA) (pp. 1-6). IEEE. 4. Chen, T., & Guestrin, C. (2016). XGBoost: A scalable tree boosting system. In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining (pp. 785-794). ACM. 5. Damen, J. A., Hooft, L., Schuit, E., Debray, T. P., Collins, G. S., Tzoulaki, I., Lassale, C. M., Siontis, G. C., Chiocchia, V., Roberts, C., Schlüssel, M. M., Gerry, S., Black, J. A., Heus, P., van der Schouw, Y. T., Peelen, L. M., & Moons, K. G. (2016). Prediction models for cardiovascular disease risk in the general population: systematic review. BMJ, 353, i2416. 6. Framingham Heart Study. (1948). Framingham Heart Study cohort research data. National Heart, Lung, and Blood Institute. 7. Johnson, A. E., Pollard, T. J., Shen, L., Lehman, L. H., Feng, M., Ghassemi, M., Moody, B., Szolovits, P., Celi, L. A., & Mark, R. G. (2016). MIMIC-III, a freely accessible critical care database. Scientific Data, 3, 160035. 8. Krittanawong, C., Zhang, H., Wang, Z., Aydar, M., & Kitai, T. (2017). Artificial intelligence in precision cardiovascular medicine. Journal of the American College of Cardiology, 69(21), 2657-2664. 9. Lundberg, S. M., & Lee, S. I. (2017). A unified approach to interpreting model predictions. In Advances in Neural Information Processing Systems 30 (NIPS 2017) (pp. 4765-4774). 10. Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., & Duchesnay, É. (2011). Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 12, 2825–2830. 11. Shameer, K., Johnson, K. W., Glicksberg, B. S., Dudley, J. T., & Sengupta, P. P. (2018). Machine learning in cardiovascular medicine: are we there yet? Heart, 104(14), 1156-1164. 12. Steyerberg, E. W., Vergouwe, Y., & van Calster, B. (2019). Towards better clinical prediction models: seven steps for development and an ABCD for validation. European Heart Journal, 40(15), 1255–1264. 13. Sudlow, C., Gallacher, J., Allen, N., Beral, V., Burton, P., Danesh, J., Downey, P., Elliott, P., Green, J., Landray, M., Liu, B., Matthews, P., Ong, G., Pell, J., Silman, A., Young, A., Sprosen, T., Peakman, T., & Collins, R. (2015). UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLOS Medicine, 12(3), e1001779. 14. Weng, S. F., Reps, J., Kai, J., Garibaldi, J. M., & Qureshi, N. (2017). Can machine-learning improve cardiovascular risk prediction using routine clinical data? PLOS ONE, 12(4), e0174944. 15. World Health Organization. (2021). Cardiovascular diseases (CVDs). Retrieved from https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds) 16. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., Kudlur, M., Levenberg, J., Monga, R., Moore, S., Murray, D. G., Steiner, B., Tucker, P., Vasudevan, V., Warden, P., ... Zheng, X. (2016). TensorFlow: A system for large-scale machine learning. In 12th USENIX symposium on operating systems design and implementation (OSDI 16) (pp. 265–283). 17. Chollet, F. (2015). Keras (Version 2.4.0) [Computer software]. https://github.com/fchollet/keras

Autoři: Okunola, Abiodun

Analysis of an M/G/1 queue with repeated inhomogeneous vacations -- Application to IEEE 802.16e power saving

Autoři: Alouf, Sara Altman, Eitan Azad, Amar Prakash a další

Přispěvatelé: Alouf, Sara Altman, Eitan Azad, Amar Prakash a další

Zdroj: https://inria.hal.science/inria-00266552 ; [Research Report] RR-6488, INRIA. 2008, pp.31.

Témata: M/G/1 queue with repeated inhomogeneous vacations, power save mode, system response time, constrained optimization, numerical analysis, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.8: Queueing theory, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.11: Renewal theory, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.15: Stochastic processes, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.6: Optimization, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.5: Local and Wide-Area Networks, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]

Relation: https://inria.hal.science/hal-00641076v1; https://inria.hal.science/hal-00641082v1

Dostupnost: https://inria.hal.science/inria-00266552
https://inria.hal.science/inria-00266552v3/document
https://inria.hal.science/inria-00266552v3/file/RR-6488.pdf

A Mean Field Approach for Optimization in Particles Systems and Applications

Autoři: Gast, Nicolas Gaujal, Bruno Middleware efficiently scalable (MESCAL) a další

Přispěvatelé: Gast, Nicolas Gaujal, Bruno Middleware efficiently scalable (MESCAL) a další

Zdroj: https://inria.hal.science/inria-00368011 ; [Research Report] RR-6877, INRIA. 2009, pp.23.

Témata: Markov Decision Processes, Mean Field, Optimization, Particles System, Grid Broker, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.4: Markov processes, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.15: Stochastic processes, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF], [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/0903.2352; ARXIV: 0903.2352

Dostupnost: https://inria.hal.science/inria-00368011
https://inria.hal.science/inria-00368011v3/document
https://inria.hal.science/inria-00368011v3/file/RR-6877.pdf

Theory of continuous polling systems applied to the Design of Message Ferry Routes in sensor networks

Autoři: Voleti, Veeraruna Kavitha Altman, Eitan Models for the performance analysis and the control of networks (MAESTRO) a další

Přispěvatelé: Voleti, Veeraruna Kavitha Altman, Eitan Models for the performance analysis and the control of networks (MAESTRO) a další

Zdroj: https://inria.hal.science/inria-00573799 ; 2011.

Témata: Continuous Polling systems, Virtual Workload, Pseudo Conservation Laws, Ferry, Wireless LAN, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.8: Queueing theory, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.5: Local and Wide-Area Networks, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]

Dostupnost: https://inria.hal.science/inria-00573799
https://inria.hal.science/inria-00573799v2/document
https://inria.hal.science/inria-00573799v2/file/HALFinANORRev2.pdf

Floor the Ceil & Ceil the Floor: Revisiting AIMD Evaluation

Autoři: Rao, Ashwin Legout, Arnaud Cessac, Bruno a další

Přispěvatelé: Rao, Ashwin Legout, Arnaud Cessac, Bruno a další

Zdroj: https://inria.hal.science/hal-00733890 ; [Research Report] 2012.

Témata: AIMD, Sensitivity, Fairness, Efficiency, Integer Arithmetic, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation

Dostupnost: https://inria.hal.science/hal-00733890
https://inria.hal.science/hal-00733890v1/document
https://inria.hal.science/hal-00733890v1/file/revisit-aimd-floor-ceil.pdf

Impact of mobility on call block, call drops and optimal cell size in small cell networks

Autoři: Ramanath, Sreenath Voleti, Veeraruna Kavitha Altman, Eitan a další

Přispěvatelé: Ramanath, Sreenath Voleti, Veeraruna Kavitha Altman, Eitan a další

Zdroj: https://inria.hal.science/inria-00573966 ; 2011.

Témata: ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]

Dostupnost: https://inria.hal.science/inria-00573966
https://inria.hal.science/inria-00573966v1/document
https://inria.hal.science/inria-00573966v1/file/2DSmallCellMobility.pdf

MARTE: A Profile for RT/E Systems Modeling, Analysis (and Simulation?)

Autoři: Mallet, Frédéric de Simone, Robert Models and methods of analysis and optimization for systems with real-time and embedding constraints (AOSTE) a další

Přispěvatelé: Mallet, Frédéric de Simone, Robert Models and methods of analysis and optimization for systems with real-time and embedding constraints (AOSTE) a další

Zdroj: First International Conference on Simulation Tools and Techniques for Communications, Networks and Systems SIMUTools'08 ; https://inria.hal.science/inria-00371397 ; First International Conference on Simulation Tools and Techniques for Communications, Networks and Systems SIMUTools'08, ICST, Mar 2008, Marseille, France. pp.1-8

Témata: UML, MARTE, Simulation, ACM: C.: Computer Systems Organization/C.3: SPECIAL-PURPOSE AND APPLICATION-BASED SYSTEMS/C.3.2: Real-time and embedded systems, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, [INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing

Geografické téma: Marseille, France

Dostupnost: https://inria.hal.science/inria-00371397
https://inria.hal.science/inria-00371397v1/document
https://inria.hal.science/inria-00371397v1/file/simutools08.pdf

International Symposium on Computer Performance Modeling, Measurement and Evaluation : March 29-31 1976, Cambridge. Massachusetts / ed. by P. P. S. Chen and Mark Franklin ; sponsored by ACM-SIGMETRICS, IPIP-Working Group 7.3.
Proceedings of the International Symposium on Computer Performance Modeling, Measurement and Evaluation

Autoři: International Symposium on Computer Performance Modeling, Measurement and Evaluation (1976 ; Cambridge, Massachusetts). Chen, Peter P. S. (1947- ). Franklin, Mark A. (1940- ). a další

Přispěvatelé: International Symposium on Computer Performance Modeling, Measurement and Evaluation (1976 ; Cambridge, Massachusetts). Chen, Peter P. S. (1947- ). Franklin, Mark A. (1940- ). a další

Zdroj: Bibliogr. przy ref.

Témata: Komputery -- ocena -- konferencje

Přístupová URL adresa: http://katalog.nukat.edu.pl/lib/item?id=chamo:4001581&theme=nukat

A Checkpoint of Research on Parallel I/O for High-Performance Computing.

Autoři: BOITO, FRANCIELI ZANON INACI, EDUARDO C. BEZ, JEAN LUCA a další

Zdroj: ACM Computing Surveys; Mar2019, Vol. 51 Issue 2, p1-35, 35p

Témata: COMPUTER systems, COMPUTER performance, EXTRACTION techniques, SCIENTIFIC community, CONFERENCES & conventions

ABSTRACTS from other ACM Publications.

Zdroj: Communications of the ACM; Mar1982, Vol. 25 Issue 3, p213-215, 3p

Témata: COMPUTER science, DATA flow computing, FORTRAN, COMPUTER software

Korporace: ASSOCIATION for Computing Machinery

Integrating Memory Optimization with Mapping Algorithms for Multi-Processors System-on-Chip.

Autoři: Girodias, Bruno Iugan, Luiza Gheorghe Bouchebaba, Youcef a další

Zdroj: ACM Transactions on Embedded Computing Systems; Sep2012, Vol. 11 Issue 3, p64:1-64:26, 26p

Témata: COMPUTER storage devices, COMBINATORIAL optimization, MULTIPROCESSORS, DATA mapping, SYSTEMS on a chip, PERFORMANCE evaluation, MATHEMATICAL models, HEURISTIC algorithms

Experience with CONSER: A System for Server Control through Fluid Modeling.

Autoři: Malrait, L Bouchenak, S Marchand, N

Zdroj: IEEE Transactions on Computers; Jul2011, Vol. 60 Issue 7, p951-963, 13p

Témata: CLIENT/SERVER computing, ONLINE information services, APPLICATION software, COMPUTER performance, QUALITY of service

Scalable techniques for system-level cosimulation and coestimation.

Autoři: Lajolo, M. Passerone, C. Lavagno, L.

Zdroj: IEE Proceedings -- Computers & Digital Techniques; Jul2003, Vol. 150 Issue 4, p227, 12p

Témata: COMPUTER simulation, COMPUTER software, COMPUTER engineering

Mathematical Formalisms for Performance Evaluation of Networks-on-Chip

Autoři: Abbas Eslami Kiasari Axel Jantsch Zhonghai Lu a další

Přispěvatelé: Abbas Eslami Kiasari Axel Jantsch Zhonghai Lu a další

Zdroj: http://web.it.kth.se/~axel/papers/2013/AbbasKiasari-ACM-ComputingSurvey.pdf.

Témata: Categories and Subject Descriptors, C.4 [Computer Systems Organization, Performance of Systems— Modeling techniques General Terms, Design, Performance Additional Key Words and Phrases, System-on-chip (SoC, network-on-chip (NoC, performance evaluation, analytical modeling ACM Reference Format

Popis souboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.417.1006

Dostupnost: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.417.1006
http://web.it.kth.se/~axel/papers/2013/AbbasKiasari-ACM-ComputingSurvey.pdf

BADCO: Behavioral Application-Dependent Superscalar Core Model

Autoři: Velasquez, Ricardo A. Michaud, Pierre Seznec, André a další

Přispěvatelé: Velasquez, Ricardo A. Michaud, Pierre Seznec, André a další

Zdroj: SAMOS XII: International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation ; https://inria.hal.science/hal-00707346 ; SAMOS XII: International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, Jul 2012, Samos, Greece

Témata: ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, [INFO.INFO-AO]Computer Science [cs]/Computer Arithmetic

Geografické téma: Samos, Greece

Dostupnost: https://inria.hal.science/hal-00707346
https://inria.hal.science/hal-00707346/document
https://inria.hal.science/hal-00707346/file/badco_samos.pdf

Computer Modeling Approaches for Blockchain-Driven Supply Chain Intelligence: A Review on Enhancing Transparency, Security, and Efficiency.

Autoři: Kumar, Puranam Revanth Mohammad, Gouse Baig Narsimhulu, Pallati a další

Zdroj: Computer Modeling in Engineering & Sciences (CMES); 2025, Vol. 144 Issue 3, p2779-2818, 40p

Témata: BLOCKCHAINS, SUPPLY chain management, ECONOMIC efficiency, DATA integrity, SECURITY management, ARTIFICIAL intelligence, INTERNET of things

Vacation Policy Optimization with Application to IEEE 802.16e Power Saving Mechanism

Autoři: Azad, Amar, Prakash Alouf, Sara Altman, Eitan a další

Přispěvatelé: Azad, Amar, Prakash Alouf, Sara Altman, Eitan a další

Zdroj: https://inria.hal.science/inria-00410117 ; [Research Report] RR-7017, INRIA. 2009.

Témata: Vacation policy, power save mode, numerical analysis, optimization, WiMax, performance analysis, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.0: Design studies, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.5: Local and Wide-Area Networks/C.2.5.0: Access schemes, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.6: Optimization/G.1.6.2: Global optimization, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.2: Distribution functions, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.15: Stochastic processes, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]

Relation: https://inria.hal.science/hal-00640988v1; https://inria.hal.science/hal-00641076v1

Dostupnost: https://inria.hal.science/inria-00410117
https://inria.hal.science/inria-00410117v1/document
https://inria.hal.science/inria-00410117v1/file/RR-7017.pdf

Vacation Policy Optimization with Application to IEEE 802.16e Power Saving Mechanism

Autoři: Azad, Amar Alouf, Sara Altman, Eitan a další

Přispěvatelé: Azad, Amar Alouf, Sara Altman, Eitan a další

Témata: Vacation policy, power save mode, numerical analysis, optimization, WiMax, performance analysis, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.0: Design studies, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.5: Local and Wide-Area Networks/C.2.5.0: Access schemes, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.6: Optimization/G.1.6.2: Global optimization, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.2: Distribution functions, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.15: Stochastic processes, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], stat

Relation: https://hal.inria.fr/inria-00410117/file/RR-7017.pdf; https://hal.inria.fr/inria-00410117

Dostupnost: https://hal.inria.fr/inria-00410117/file/RR-7017.pdf
https://hal.inria.fr/inria-00410117

Break Down GPU Execution Time with an Analytical Method

Autoři: Lai, Junjie Seznec, André Amdahl's Law is Forever (ALF) a další

Přispěvatelé: Lai, Junjie Seznec, André Amdahl's Law is Forever (ALF) a další

Zdroj: Rapido '12 ; https://inria.hal.science/hal-00764874 ; Rapido '12, Jan 2012, Paris, France. ⟨10.1145/2162131.2162136⟩

Témata: ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development/I.6.5.0: Modeling methodologies, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.6: Simulation Output Analysis

Geografické téma: Paris, France

Dostupnost: https://inria.hal.science/hal-00764874
https://doi.org/10.1145/2162131.2162136

Trust in E-government Practices: A Platform Perspective of a Postal Service Organisation.

Autoři: Boateng, Kofi A. Boateng-Coffie, Rosemary Darko, Peter

Zdroj: Asian Journal of Technology Management (AJTM); 2022, Vol. 15 Issue 3, p235-255, 21p

Témata: POSTAL service, TRUST, INTERNET in public administration, DEVELOPING countries, PEER pressure, COMPUTER literacy