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

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

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

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

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

A Knowledge Management Approach: Business Intelligence in an Intranet Data Warehouse.

Authors: Soon, Lisa Fraser, Campbell

Source: GSTF Journal on Computing; 2011, Vol. 1 Issue 2, p190-195, 6p

Subject Terms: BUSINESS intelligence, DATA warehousing, INTRANETS (Computer networks), KNOWLEDGE management, CASE studies

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

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

An adaptable and personalised E-learning system applied to computer science Programmes design.

Authors: Aeiad, Eiman Meziane, Farid

Source: Education & Information Technologies; Mar2019, Vol. 24 Issue 2, p1485-1509, 25p

Subject Terms: MOBILE learning, COMPUTER science education, NATURAL language processing, CLASSROOM environment, EDUCATIONAL programs

A method for improving ERP implementation success by the principles and process of user-centred design.

Authors: Vilpola, Inka Heidi

Source: Enterprise Information Systems; Feb2008, Vol. 2 Issue 1, p47-76, 30p, 8 Diagrams, 2 Charts

Subject Terms: ENTERPRISE resource planning, LABOR productivity, USER-centered system design, BUSINESS planning, SYSTEMS design, INTERACTIVE computer systems

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

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

Talking Work: Language-games, Organisations and Computer Supported Cooperative Work.

Authors: Crabtree, Andy

Source: Computer Supported Cooperative Work: The Journal of Collaborative Computing; May2000, Vol. 9 Issue 2, p215-237, 23p, 1 Black and White Photograph

Subject Terms: COMPUTER science, LANGUAGE & languages, ORGANIZATION, ETHNOLOGY, CUSTOMER services

Performance of mobile users with text-only and text-and-icon menus in seated and walking situations.

Authors: Majrashi, Khalid

Source: Behaviour & Information Technology; Jan2022, Vol. 41 Issue 1, p32-50, 19p, 2 Color Photographs, 1 Black and White Photograph, 1 Diagram, 10 Charts, 2 Graphs

Subject Terms: WALKING speed, ANALYSIS of variance, MOBILE apps, USER interfaces, SMARTPHONES, TASK performance, LEARNING, COMPUTER graphics, SITTING position, COMPARATIVE studies, SOFTWARE architecture, PRODUCT design, T-test (Statistics), WALKING, DESCRIPTIVE statistics, REPEATED measures design, TEXT messages

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)

Defining Emergent Software Using Continuous Self-Assembly, Perception, and Learning.

Authors: FILHO, ROBERTO RODRIGUES PORTER, BARRY

Source: ACM Transactions on Autonomous & Adaptive Systems; Sep2017, Vol. 12 Issue 3, p16:1-16:25, 25p

Subject Terms: SELF-adaptive software, ADAPTIVE control systems, MOLECULAR self-assembly, MODULAR design, MACHINE learning

Visual Menu Techniques.

Authors: BAILLY, GILLES LECOLINET, ERIC NIGAY, LAURENCE

Source: ACM Computing Surveys; Feb2017, Vol. 49 Issue 4, p60:1-60:41, 41p, 22 Diagrams, 6 Charts

Subject Terms: MENUS (Computers), HUMAN-computer interaction, USER-centered system design, SIMULATION methods & models, COMPUTER performance

A multi-infrastructure gateway for virtual drug screening.

Authors: Jaghoori, Mohammad Mahdi Altena, Allard J. Bleijlevens, Boris et al.

Source: Concurrency & Computation: Practice & Experience; Nov2015, Vol. 27 Issue 16, p4478-4490, 13p

Subject Terms: GATEWAYS (Computer networks), DRUG use testing, COMPUTER-aided design, SOFTWARE development tools, IN vitro studies, HIGH performance computing

A virtual laboratory for computer organisation and logic design (COLDVL) and its utilisation for MOOCs.

Authors: Roy, Gargi Ghosh, Devleena Mandal, Chittaranjan

Source: 2015 IEEE 3rd International Conference on MOOCs, Innovation & Technology in Education (MITE); 2015, p284-289, 6p

Towards a standardised framework for a multi-agent system approach for cooperation in an original design manufacturing company.

Authors: Lin, Jiun-Shiung Ou-Yang, Chao Juan, Yeh-Chun

Source: International Journal of Computer Integrated Manufacturing; Jun2009, Vol. 22 Issue 6, p494-514, 21p, 1 Color Photograph, 1 Black and White Photograph, 14 Diagrams

Subject Terms: COMPUTER integrated manufacturing systems, COMPUTER-aided engineering, POLYNOMIALS, APPROXIMATION theory, COMPUTER network architectures