Suchergebnisse - ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.4: Performance attributes

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    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

    Autoren: Okunola, Abiodun

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  2. 2

    Time-triggered implementations of dynamic controllers

    Autoren: Truong Nghiem George J. Pappas Rajeev Alur et al.

    Weitere Verfasser: Truong Nghiem George J. Pappas Rajeev Alur et al.

    Quelle: http://www.georgejpappas.org//papers/a58-nghiem.pdf.

    Schlagwörter: Categories and Subject Descriptors, C.3 [Computer Systems Organization, Special-Purpose and Application-Based Systems—Real-time and embedded systems, C.4[Computer Systems Organization, Performance of Systems—Modeling techniques, performance attributes, J.7 [Computer Applications, Computers in Other Systems—Real time, command and control General Terms, Design, Performance Additional Key Words and Phrases, Control, dynamic controller, time-triggered, implementation, performance, PID, PI, scheduling ACM Reference Format

    Dateibeschreibung: application/pdf

    Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.363.170

    Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.363.170
    http://www.georgejpappas.org//papers/a58-nghiem.pdf

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  3. 3

    Task Mapping and Priority Assignment for Soft Real-Time Applications under Deadline Miss Ratio Constraints

    Autoren: Sorin Manolache Petru Eles Zebo Peng et al.

    Weitere Verfasser: Sorin Manolache Petru Eles Zebo Peng et al.

    Quelle: http://www.ida.liu.se/labs/eslab/publications/pap/db/sorma_asm_ecs08.pdf.

    Schlagwörter: Categories and Subject Descriptors, B.8.0 [Hardware, Performance and Reliability—General, C.4 [Computer Systems Organization, Performance of Systems—Performance attributes, D.4.7 [Software, Operating Systems—Organization and Design General Terms, Performance, Theory Additional Key Words and Phrases, Schedulability analysis, soft real-time systems, stochastic task execution times, mapping, priority assignment ACM Reference Format

    Dateibeschreibung: application/pdf

    Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.421.5174; http://www.ida.liu.se/labs/eslab/publications/pap/db/sorma_asm_ecs08.pdf

    Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.421.5174
    http://www.ida.liu.se/labs/eslab/publications/pap/db/sorma_asm_ecs08.pdf

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  4. 4

    5A Nine Year Study of File System and Storage Benchmarking

    Autoren: Avishay Traeger Erez Zadok Nikolai Joukov et al.

    Weitere Verfasser: Avishay Traeger Erez Zadok Nikolai Joukov et al.

    Quelle: http://staff.ustc.edu.cn/~jpq/paper/flash/2008-TOS-A nine year study of file system and storage benchmarking.pdf.

    Schlagwörter: Categories and Subject Descriptors, D.4.8 [Operating Systems, Performance—Measurements, C.4 [Computer Systems Organization, Performance of Systems—Measurement techniques, per- formance attributes General Terms, Design, Experimentation, Measurement, Performance Additional Key Words and Phrases, Benchmarks, file systems, storage systems ACM Reference Format

    Dateibeschreibung: application/pdf

    Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.488.481

    Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.488.481
    http://staff.ustc.edu.cn/~jpq/paper/flash/2008-TOS-A nine year study of file system and storage benchmarking.pdf

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  5. 5

    A Nine Year Study of File System and Storage Benchmarking

    Autoren: Avishay Traeger Erez Zadok Nikolai Joukov et al.

    Weitere Verfasser: Avishay Traeger Erez Zadok Nikolai Joukov et al.

    Quelle: http://www.fsl.cs.sunysb.edu/docs/fsbench/fsbench.pdf.

    Schlagwörter: Categories and Subject Descriptors, D.4.8 [Operating Systems, Performance—Measurements, C.4 [Computer Systems Organization, Performance of Systems—Measurement techniques, performance attributes General Terms, Design, Experimentation, Measurement, Performance Additional Key Words and Phrases, Benchmarks, file systems, storage systems ACM Reference Format

    Dateibeschreibung: application/pdf

    Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.304.8547; http://www.fsl.cs.sunysb.edu/docs/fsbench/fsbench.pdf

    Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.304.8547
    http://www.fsl.cs.sunysb.edu/docs/fsbench/fsbench.pdf

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  6. 6

    Performance Analysis of a Dynamic Compact Multicast Routing Scheme

    Autoren: Papadimitriou, Dimitri Pedroso, Pedro Demeester, Piet et al.

    Weitere Verfasser: Papadimitriou, Dimitri Pedroso, Pedro Demeester, Piet et al.

    Quelle: 13es Rencontres Francophones sur les Aspects Algorithmiques de Télécommunications (AlgoTel)
    https://hal.inria.fr/inria-00588106
    13es Rencontres Francophones sur les Aspects Algorithmiques de Télécommunications (AlgoTel), May 2011, Cap Estérel, France

    Schlagwörter: Compact Routing, Multicast, Algorithm, Performance Analysis, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.1: Network Architecture and Design/C.2.1.3: Distributed networks, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.1: Network Architecture and Design/C.2.1.6: Network communications, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.4: Performance attributes, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]

    Geographisches Schlagwort: Cap Estérel, France

    Relation: inria-00588106; https://hal.inria.fr/inria-00588106; https://hal.inria.fr/inria-00588106/document; https://hal.inria.fr/inria-00588106/file/AlgoTel_2011_-_Performance_Analysis_of_a_Dynamic_Compact_Multicast_Routing_Scheme.pdf

    Verfügbarkeit: https://hal.inria.fr/inria-00588106
    https://hal.inria.fr/inria-00588106/document
    https://hal.inria.fr/inria-00588106/file/AlgoTel_2011_-_Performance_Analysis_of_a_Dynamic_Compact_Multicast_Routing_Scheme.pdf

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  7. 7

    The Speedup-Test: A Statistical Methodology for Program Speedup Analysis and Computation

    Autoren: Touati, Sid Worms, Julien Briais, Sébastien et al.

    Weitere Verfasser: Touati, Sid Worms, Julien Briais, Sébastien et al.

    Quelle: ISSN: 1532-0626 ; EISSN: 1532-0634.

    Schlagwörter: Program performance evaluation and analysis, code optimisation, statistics, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.2: Measurement techniques, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.4: Performance attributes, [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]

    Verfügbarkeit: https://inria.hal.science/hal-00764454
    https://inria.hal.science/hal-00764454v1/document
    https://inria.hal.science/hal-00764454v1/file/Speedup-Test-Article-freestyle.pdf
    https://doi.org/10.1002/cpe.2939

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  8. 8

    The Use of Normal Multiplication Tables for Information Storage and Retrieval.

    Autoren: Motzkin, Dalia Montgomery, C. A.

    Quelle: Communications of the ACM; Mar1979, Vol. 22 Issue 3, p193-207, 15p, 4 Diagrams, 10 Charts

    Schlagwörter: INFORMATION storage & retrieval systems, CHARACTER sets (Data processing), MULTIPLICATION tables, ELECTRONIC file management, ALGORITHMS, COMPUTER storage devices

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  9. 9

    Energy-driven Consolidation in Digital Home

    Autoren: Druilhe, Rémi Anne, Matthieu Pulou, Jacques et al.

    Weitere Verfasser: Druilhe, Rémi Anne, Matthieu Pulou, Jacques et al.

    Quelle: 28th ACM Symposium on Applied Computing (SAC'13), 1st Software Engineering Aspects of Green Computing (SEAGC) Track
    https://inria.hal.science/hal-00762626
    28th ACM Symposium on Applied Computing (SAC'13), 1st Software Engineering Aspects of Green Computing (SEAGC) Track, Mar 2013, Coimbra, Portugal. pp.1157-1162

    Schlagwörter: Energy, Digital Home, Consolidation, Quality of Service, Event-processing, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.4: Performance attributes, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.6: Optimization/G.1.6.0: Constrained optimization, [INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR]

    Geographisches Schlagwort: Coimbra, Portugal

    Verfügbarkeit: https://inria.hal.science/hal-00762626
    https://inria.hal.science/hal-00762626/document
    https://inria.hal.science/hal-00762626/file/seagc_2013.pdf

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  10. 10

    Efficient Attributes for Anonymous Credentials.

    Autoren: Camenisch, Jan Groß, Thomas

    Quelle: ACM Transactions on Information & System Security (TISSEC); 2012, Vol. 15 Issue 1, p4-30, 30p

    Schlagwörter: LINEAR systems, BINARY number system, PERFORMANCE evaluation, COMPUTER security, ALGORITHMS, IDENTIFICATION cards, CELL phones

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  11. 11

    Discovering Linear Models of Grid Workload

    Autoren: Elteto, Tamas Germain-Renaud, Cecile Bondon, Pascal et al.

    Weitere Verfasser: Elteto, Tamas Germain-Renaud, Cecile Bondon, Pascal et al.

    Quelle: https://inria.hal.science/inria-00435561 ; [Research Report] RR-7112, INRIA. 2009.

    Schlagwörter: Grid workload, Minimum Description Length principle, autoregressive model, segmentation, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.17: Time series analysis, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.4: Performance attributes, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH], [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]

    Verfügbarkeit: https://inria.hal.science/inria-00435561
    https://inria.hal.science/inria-00435561v1/document
    https://inria.hal.science/inria-00435561v1/file/RR-7112.pdf

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  12. 12

    Adaptivity and Self-Organization in Organic Computing Systems.

    Quelle: ACM Transactions on Autonomous & Adaptive Systems; 2010, Vol. 5 Issue 3, p10-10.32, 32p

    Schlagwörter: ADAPTIVE computing systems, SELF-organizing systems, AUTONOMIC computing, COMPUTER systems, ENGINEERING design, ROBUST control, SYSTEMS theory

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  13. 13

    The XtreemOS Resource Selection Service.

    Autoren: STRATAN, CORINA SACHA, JAN NAPPER, JEFF et al.

    Quelle: ACM Transactions on Autonomous & Adaptive Systems; 2012, Vol. 7 Issue 4, p37:1-37:32, 32p, 2 Charts, 18 Graphs

    Schlagwörter: ALGORITHMS, MATHEMATICAL optimization, MEMBERSHIP, PERFORMANCE evaluation, COMPUTER software, ADAPTIVE control systems

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  14. 14

    Utility-Based Mechanism for Structural Self-Organization in Service-Oriented MAS.

    Autoren: VAL, ELENA DEL REBOLLO, MIGUEL VASIRANI, MATEO et al.

    Quelle: ACM Transactions on Autonomous & Adaptive Systems; Oct2014, Vol. 9 Issue 3, p12-12:24, 24p

    Schlagwörter: SERVICE-oriented architecture (Computer science), UTILITY theory, SELF-organizing maps, MULTIAGENT systems, DEMAND chain planning

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  15. 15

    RCML: An Environment for Estimation Modeling of Reconfigurable Computing Systems.

    Autoren: Reardon, Casey Holland, Brian George, Alan D. et al.

    Quelle: ACM Transactions on Embedded Computing Systems; Aug2012, Vol. 11, p1-22, 22p

    Schlagwörter: COMPUTER systems, ADAPTIVE computing systems, EMBEDDED computer systems, STRATEGIC planning, FORMAL languages, SYSTEMS design, COMPUTER performance

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  16. 16

    ADAM: External Dependency-Driven Architecture Discovery and Analysis of Quality Attributes.

    Autoren: GANESAN, DHARMALINGAM LINDVALL, MIKAEL

    Quelle: ACM Transactions on Software Engineering & Methodology; Mar2014, Vol. 23 Issue 2, p17:1-17:51, 51p

    Schlagwörter: COMPUTER software testing, COMPUTER software developers, SOFTWARE architecture, REVERSE engineering, COMPUTER operating systems

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  17. 17

    The journey from formal learning to performance support.

    Autoren: Lanese, Lory Nguyen, Frank

    Quelle: Performance Improvement; May/Jun2012, Vol. 51 Issue 5, p17-21, 5p, 1 Diagram

    Schlagwörter: PERFORMANCE Support Systems (Computer software), EMPLOYEE training, JOB performance, PERSONNEL management, BUSINESS software

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  18. 18

    STRAM: Measuring the Trustworthiness of Computer-Based Systems.

    Autoren: JIN-HEE CHO SHOUHUAI XU HURLEY, PATRICK M. et al.

    Quelle: ACM Computing Surveys; Nov2019, Vol. 51 Issue 6, p1-47, 47p, 11 Diagrams, 3 Charts

    Schlagwörter: KEY performance indicators (Management), MOTOR ability, RISK assessment

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  19. 19

    Enterprise Computing: Economies and Diseconomies of Scale in Server Price/Performance Relationships.

    Autoren: Anderson, Evan Grimaila, Michael R. Richmond, William

    Quelle: IEEE Transactions on Engineering Management; Aug2005, Vol. 52 Issue 3, p329-335, 7p

    Schlagwörter: ECONOMIES of scale, COMPUTER systems, TRANSACTION systems (Computer systems), ELASTICITY, PERFORMANCE, COST

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  20. 20

    A Self-Organization Mechanism Based on Cross-Entropy Method for P2P-Like Applications.

    Quelle: ACM Transactions on Autonomous & Adaptive Systems; 2010, Vol. 5 Issue 4, p15:1-15:31, 31p

    Schlagwörter: SELF-organizing systems, PEER-to-peer architecture (Computer networks), CROSS-entropy method, ALGORITHMS, ARTIFICIAL intelligence, COMPUTER systems, INTERNET, COMPUTER network protocols

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