Search Results - acm: c.: computer systems organisation/c.4: performance of systems/c.4.0: design studies

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

Towards a self-organization of computer networks ; Vers une auto-organisation des réseaux informatiques

Authors: Nolot, Florent Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (CRESTIC) Université de Reims Champagne-Ardenne (URCA) et al.

Contributors: Nolot, Florent Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (CRESTIC) Université de Reims Champagne-Ardenne (URCA) et al.

Source: https://hal.univ-reims.fr/tel-01872131 ; Réseaux et télécommunications [cs.NI]. Université de Reims - Champagne Ardenne, 2013.

Subject Terms: IoT, computer network, distributed algorithm, réseaux informatiques, internet des objets, algorithmique distribué, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.1: Network Architecture and Design, 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.2.1.7: Network topology, [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], [INFO]Computer Science [cs]

Availability: https://hal.univ-reims.fr/tel-01872131
https://hal.univ-reims.fr/tel-01872131v1/document
https://hal.univ-reims.fr/tel-01872131v1/file/HDR-FNolot.pdf

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

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

Overflow of Fountain Codes in Multi-hop Wireless Sensor Networks

Authors: Apavatjrut, Anya Jaffres-Runser, Katia Goursaud, Claire et al.

Contributors: Apavatjrut, Anya Jaffres-Runser, Katia Goursaud, Claire et al.

Source: IEEE 22nd Personal, Indoor and Mobile Radio Conference (PIMRC) ; https://inria.hal.science/hal-00644445 ; IEEE 22nd Personal, Indoor and Mobile Radio Conference (PIMRC), IEEE, Sep 2011, Toromto, Canada

Subject Terms: flooding overhead, fountain codes, acknowledgement, wireless sensor networks, ACM: F.: Theory of Computation/F.0: GENERAL, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.0: Design studies, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.2: Network Protocols, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]

Subject Geographic: Toromto

Time: Toromto, Canada

Availability: https://inria.hal.science/hal-00644445
https://inria.hal.science/hal-00644445v1/document
https://inria.hal.science/hal-00644445v1/file/PIMRC.pdf

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

Multi-cluster parallel job submission: Experiences with Monte Carlo simulations for computational finance on Grid5000

Authors: Stokes-Rees, Ian Baude, Françoise Dung Doan, Viet et al.

Contributors: Stokes-Rees, Ian Baude, Françoise Dung Doan, Viet et al.

Source: https://inria.hal.science/inria-00173360 ; 2007.

Subject Terms: computational grid, computational finance, grid performance, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.0: Design studies, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]

Availability: https://inria.hal.science/inria-00173360
https://inria.hal.science/inria-00173360v1/document
https://inria.hal.science/inria-00173360v1/file/ParallelJobSubmissionG5k-StokesReesBaudeDoanBossy-ISGC2007.pdf

The InfoVis Toolkit

Authors: Fekete, Jean-Daniel Situated interaction (IN-SITU) Laboratoire de Recherche en Informatique (LRI) et al.

Contributors: Fekete, Jean-Daniel Situated interaction (IN-SITU) Laboratoire de Recherche en Informatique (LRI) et al.

Source: Proceedings of the IEEE Symposium on Information Visualization ; https://inria.hal.science/hal-00876189 ; Proceedings of the IEEE Symposium on Information Visualization, Oct 2004, Austin, TX, United States. pp.167--174, ⟨10.1109/INFOVIS.2004.64⟩

Subject Terms: Information Visualization, Toolkit, Graphics, Integration, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques/I.3.6.2: Graphics data structures and data types, ACM: H.: Information Systems/H.5: INFORMATION INTERFACES AND PRESENTATION (e.g., HCI)/H.5.2: User Interfaces/H.5.2.1: Benchmarking, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.0: Design studies, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]

Subject Geographic: Austin, TX, United States

Availability: https://inria.hal.science/hal-00876189
https://doi.org/10.1109/INFOVIS.2004.64

Adaptation in Edge Computing: A Review on Design Principles and Research Challenges.

Authors: Golpayegani, Fateneh Chen, Nanxi Afraz, Nima et al.

Source: ACM Transactions on Autonomous & Adaptive Systems; Sep2024, Vol. 19 Issue 3, p1-43, 43p

Subject Terms: ADAPTIVE computing systems, DISTRIBUTED computing, EDGE computing, COMPUTER systems, QUALITY of service

Calendar of Events.

Source: Communications of the ACM; Jun78, Vol. 21 Issue 6, p440-510, 4p

Subject Terms: CONFERENCES & conventions, COMPUTERS, COMPUTER systems, COMPUTER science, FAULT-tolerant computing, FAULT tolerance (Engineering)

Impact of on-chip network parameters on NUCA cache performances.

Authors: Bardine, A. Comparetti, M. Foglia, P. et al.

Source: IET Computers & Digital Techniques (Institution of Engineering & Technology); Sep2009, Vol. 3 Issue 5, p501-512, 12p, 3 Diagrams, 2 Charts, 7 Graphs

Subject Terms: NETWORK routers, COMPUTER architecture, SYSTEMS development, COMPUTER systems, COMPUTER network architectures

Designing for self-organisation in sociotechnical systems: resilience engineering, cognitive work analysis, and the diagram of work organisation possibilities.

Authors: Naikar, Neelam Elix, Ben

Source: Cognition, Technology & Work; Feb2021, Vol. 23 Issue 1, p23-37, 15p

Subject Terms: SOCIOTECHNICAL systems, COGNITIVE analysis, FLEXIBLE structures, WORK design, EMERGENCY management

CAVEAT Exemplar: Participatory Design in a Non-Profit Volunteer Organisation.

Authors: Mcphail, Brenda Costantino, Terry Bruckmann, David et al.

Source: Computer Supported Cooperative Work: The Journal of Collaborative Computing; Aug1998, Vol. 7 Issue 3/4, p223-241, 19p

Subject Terms: ASSOCIATIONS, institutions, etc., VOLUNTEERS, DESIGN, DATABASE management software, WORK, CASE studies

Using Advisory 3D Sound Cues to Improve Drivers' Performance and Situation Awareness

Authors: Wang, M. J. Lyckvi, Sus Lundgren Hong, C. H. et al.

Source: CHI '17, Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, May 6–11, 2017, Denver, CO, USA, Pages.

Subject Terms: Human Computer Interaction, Människa-datorinteraktion (interaktionsdesign), 3D Auditory Advisory Traffic Information System, auditory display, in-vehicle design, drive behavior, displays

Access URL: https://gup.ub.gu.se/publication/266736

A Systematic Mapping Study of HCI Practice Research.

Authors: Ogunyemi, Abiodun Afolayan Lamas, David Lárusdóttir, Marta Kristin et al.

Source: International Journal of Human-Computer Interaction; 2019, Vol. 35 Issue 16, p1461-1486, 26p, 2 Diagrams, 7 Charts, 5 Graphs

Subject Terms: HUMAN-computer interaction, CONCEPT mapping, CORPORATE culture, AGILE software development, SYSTEMS development, RESEARCH evaluation, DESIGN techniques, WORK design

Calendar of Events.

Source: Communications of the ACM; Jul1978, Vol. 21 Issue 7, p598-600, 3p

Subject Terms: CONFERENCES & conventions, COMPUTER science, CARDIOVASCULAR system, COMPUTER systems

Geographic Terms: UNITED States, PHILIPPINES

Virt-B: Towards Performance Benchmarking of Virtual Machine Systems.

Authors: Ye, Kejiang Wu, Zhaohui Zhou, Bing Bing et al.

Source: IEEE Internet Computing; May2014, Vol. 18 Issue 3, p64-72, 9p

Subject Terms: VIRTUAL machine systems, BENCHMARKING (Management), CLOUD computing, COMPUTER input-output equipment, COMPUTER systems

Engineering scalable multi-agent communities.

Authors: Rana, Omer F. Lynden, Steven J.

Source: Integrated Computer-Aided Engineering; 2004, Vol. 11 Issue 2, p117-134, 18p, 6 Diagrams, 6 Graphs

Subject Terms: SCALABILITY, INTELLIGENT agents, COMPUTER software, SYSTEMS design, COMPUTER systems

Optimised memory allocation for less false abortion and better performance in hardware transactional memory.

Authors: Li, Xiuhong Gulila, Altenbek

Source: International Journal of Parallel, Emergent & Distributed Systems; Aug2020, Vol. 35 Issue 4, p483-491, 9p

Subject Terms: ABORTION, MEMORY, PERFORMANCES, COMPUTER memory management, TRANSACTION systems (Computer systems), HARDWARE

Design of automotive X-by-Wire systems

Authors: Wilwert, Cédric Navet, Nicolas Song, Ye-Qiong et al.

Contributors: Wilwert, Cédric Navet, Nicolas Song, Ye-Qiong et al.

Source: The Industrial Communication Technology Handbook ; https://inria.hal.science/inria-00000562 ; Richard Zurawski. The Industrial Communication Technology Handbook, CRC Press, 2005, 0849330777

Subject Terms: Networks, Fieldbuses, Real-Time Systems, In-vehicle Embedded Systems, Middlewares, Dependability, X-by-Wire, ACM: C.: Computer Systems Organization/C.3: SPECIAL-PURPOSE AND APPLICATION-BASED SYSTEMS/C.3.2: Real-time and embedded systems, ACM: J.: Computer Applications/J.7: COMPUTERS IN OTHER SYSTEMS/J.7.6: Real time, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.5: Reliability, availability, and serviceability, [INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR], [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH], [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF]

Availability: https://inria.hal.science/inria-00000562
https://inria.hal.science/inria-00000562/document
https://inria.hal.science/inria-00000562/file/XbW_CRC_2005.pdf