Search Results - acm: c.: computer system organisation/c.4: performance of system/c.4.3: modeling techniques

Refine Results
  1. 1

    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

    Authors: Okunola, Abiodun

    Nájsť tento článok vo Web of Science
    Save to List
  2. 2

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

    Authors: Alouf, Sara Altman, Eitan Azad, Amar Prakash et al.

    Contributors: Alouf, Sara Altman, Eitan Azad, Amar Prakash et al.

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

    Subject Terms: 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

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

    View record from BASE Nájsť tento článok vo Web of Science
    Save to List
  3. 3

    A Mean Field Approach for Optimization in Particles Systems and Applications

    Authors: Gast, Nicolas Gaujal, Bruno Middleware efficiently scalable (MESCAL) et al.

    Contributors: Gast, Nicolas Gaujal, Bruno Middleware efficiently scalable (MESCAL) et al.

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

    Subject Terms: 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

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

    View record from BASE Nájsť tento článok vo Web of Science
    Save to List
  4. 4

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

    Authors: Voleti, Veeraruna Kavitha Altman, Eitan Models for the performance analysis and the control of networks (MAESTRO) et al.

    Contributors: Voleti, Veeraruna Kavitha Altman, Eitan Models for the performance analysis and the control of networks (MAESTRO) et al.

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

    Subject Terms: 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]

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

    View record from BASE Nájsť tento článok vo Web of Science
    Save to List
  5. 5

    Floor the Ceil & Ceil the Floor: Revisiting AIMD Evaluation

    Authors: Rao, Ashwin Legout, Arnaud Cessac, Bruno et al.

    Contributors: Rao, Ashwin Legout, Arnaud Cessac, Bruno et al.

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

    Subject Terms: 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

    Availability: 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

    View record from BASE Nájsť tento článok vo Web of Science
    Save to List
  6. 6

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

    Authors: Ramanath, Sreenath Voleti, Veeraruna Kavitha Altman, Eitan et al.

    Contributors: Ramanath, Sreenath Voleti, Veeraruna Kavitha Altman, Eitan et al.

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

    Subject Terms: 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]

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

    View record from BASE Nájsť tento článok vo Web of Science
    Save to List
  7. 7

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

    Authors: Mallet, Frédéric de Simone, Robert Models and methods of analysis and optimization for systems with real-time and embedding constraints (AOSTE) et al.

    Contributors: Mallet, Frédéric de Simone, Robert Models and methods of analysis and optimization for systems with real-time and embedding constraints (AOSTE) et al.

    Source: 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

    Subject Terms: 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

    Subject Geographic: Marseille, France

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

    View record from BASE Nájsť tento článok vo Web of Science
    Save to List
  8. 8

    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

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

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

    Source: Bibliogr. przy ref.

    Subject Terms: Komputery -- ocena -- konferencje

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

    Nájsť tento článok vo Web of Science View record at NUKAT
    Save to List
  9. 9

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

    Authors: BOITO, FRANCIELI ZANON INACI, EDUARDO C. BEZ, JEAN LUCA et al.

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

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

    Full Text Finder Nájsť tento článok vo Web of Science
    Save to List
  10. 10

    ABSTRACTS from other ACM Publications.

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

    Subject Terms: COMPUTER science, DATA flow computing, FORTRAN, COMPUTER software

    Company/Entity: ASSOCIATION for Computing Machinery

    Full Text Finder Nájsť tento článok vo Web of Science
    Save to List
  11. 11

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

    Authors: Girodias, Bruno Iugan, Luiza Gheorghe Bouchebaba, Youcef et al.

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

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

    Full Text Finder Nájsť tento článok vo Web of Science
    Save to List
  12. 12

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

    Authors: Malrait, L Bouchenak, S Marchand, N

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

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

    Full Text Finder Nájsť tento článok vo Web of Science
    Save to List
  13. 13

    Scalable techniques for system-level cosimulation and coestimation.

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

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

    Subject Terms: COMPUTER simulation, COMPUTER software, COMPUTER engineering

    Nájsť tento článok vo Web of Science
    Save to List
  14. 14

    Mathematical Formalisms for Performance Evaluation of Networks-on-Chip

    Authors: Abbas Eslami Kiasari Axel Jantsch Zhonghai Lu et al.

    Contributors: Abbas Eslami Kiasari Axel Jantsch Zhonghai Lu et al.

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

    Subject Terms: 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

    File Description: application/pdf

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

    Availability: 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

    View record from BASE Nájsť tento článok vo Web of Science
    Save to List
  15. 15

    BADCO: Behavioral Application-Dependent Superscalar Core Model

    Authors: Velasquez, Ricardo A. Michaud, Pierre Seznec, André et al.

    Contributors: Velasquez, Ricardo A. Michaud, Pierre Seznec, André et al.

    Source: 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

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

    Subject Geographic: Samos, Greece

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

    View record from BASE Nájsť tento článok vo Web of Science
    Save to List
  16. 16

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

    Authors: Kumar, Puranam Revanth Mohammad, Gouse Baig Narsimhulu, Pallati et al.

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

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

    Full Text Finder Nájsť tento článok vo Web of Science
    Save to List
  17. 17

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

    Authors: Azad, Amar, Prakash Alouf, Sara Altman, Eitan et al.

    Contributors: Azad, Amar, Prakash Alouf, Sara Altman, Eitan et al.

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

    Subject Terms: 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

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

    View record from BASE Nájsť tento článok vo Web of Science
    Save to List
  18. 18

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

    Authors: Azad, Amar Alouf, Sara Altman, Eitan et al.

    Contributors: Azad, Amar Alouf, Sara Altman, Eitan et al.

    Subject Terms: 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

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

    View record from BASE Nájsť tento článok vo Web of Science
    Save to List
  19. 19

    Break Down GPU Execution Time with an Analytical Method

    Authors: Lai, Junjie Seznec, André Amdahl's Law is Forever (ALF) et al.

    Contributors: Lai, Junjie Seznec, André Amdahl's Law is Forever (ALF) et al.

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

    Subject Terms: 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

    Subject Geographic: Paris, France

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

    View record from BASE Nájsť tento článok vo Web of Science
    Save to List
  20. 20

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

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

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

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

    Full Text Finder Nájsť tento článok vo Web of Science
    Save to List

Search Tools: