Search Results - ACM: C.: Computer Systems Organization/C.0: GENERAL/C.0.3: System architectural

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

ASPLOS-IV proceedings : fourth international conference on architectural support for programming languages and operating systems : Santa Clara, California, April 8-11, 1991 / spons. by ACM in coop. with the IEEE Computer Society.

Authors: International Conference on Architectural Support for Programming Languages and Operating Systems (4 ; 1991 ; Santa Clara). Association for Computing Machinery. Institute of Electrical and Electronics Engineers. Computer Society.

Contributors: International Conference on Architectural Support for Programming Languages and Operating Systems (4 ; 1991 ; Santa Clara). Association for Computing Machinery. Institute of Electrical and Electronics Engineers. Computer Society.

Source: Bibliogr. przy rozdz.
Index.

Subject Terms: Sieci komputerowe, Komputery -- konferencje

Access URL: http://katalog.nukat.edu.pl/lib/item?id=chamo:1759164&theme=nukat

Architectural support in industry: a reflection using C-POSH.

Authors: Bril, R. J. Krikhaar, R. L. Postma, A.

Source: Journal of Software Maintenance & Evolution: Research & Practice; Jan/Feb2005, Vol. 17 Issue 1, p3-25, 23p, 6 Diagrams, 1 Chart

Subject Terms: SOFTWARE architecture, COMPUTER software development, SOFTWARE maintenance, COMPUTER systems, COMPUTER science

Hardware Architectural Support for Control Systems and Sensor Processing.

Authors: VYAS, SUDHANSHU GUPTE, ADWAIT GILL, CHRISTOPHER D. et al.

Source: ACM Transactions on Embedded Computing Systems; Sep2013, Vol. 13 Issue 2, p1-25, 25p

Subject Terms: COMPUTER input-output equipment, COMPUTER architecture, AUTOMATIC control systems, SENSOR networks, DIGITAL signal processing, ALGORITHMS, PID controllers

An Approach for Modeling Architectural Design Rules in UML and its Application to Embedded Software.

Authors: Mattsson, Anders Fitzgerald, Brian Lundell, Björn et al.

Source: ACM Transactions on Software Engineering & Methodology; Mar2012, Vol. 21 Issue 2, p10-10.29, 29p

Subject Terms: SOFTWARE architecture, EMBEDDED computer systems, SOFTWARE engineering, COMPUTER simulation, COMPUTER software developers

A Survey of Machine Learning for Computer Architecture and Systems.

Authors: NAN WU YUAN XIE

Source: ACM Computing Surveys; Apr2023, Vol. 55 Issue 3, p1-39, 39p

Subject Terms: COMPUTER architecture, COMPUTER systems, MACHINE learning, SYSTEMS design, COMPILERS (Computer programs), SERVER farms (Computer network management), ARCHITECTURAL design

HLD METHODOLOGY: THE ROLE OF ARCHITECTURAL ABSTRACTIONS IN EMBEDDED SYSTEMS DESIGN.

Authors: Platunov, Alexey Kluchev, Arkady Penskoi, Aleksandr

Source: Proceedings of the International Multidisciplinary Scientific GeoConference SGEM; 2014, Vol. 1, p209-218, 10p

Subject Terms: EMBEDDED computer systems, COMPUTER architecture, ADAPTIVE computing systems, COMPUTING platforms, REAL-time computing

An Architectural Framework for the Design, Analysis and Implementation of Interactive Systems.

Authors: François, Alexandre R.J.

Source: Computer Journal; Jul2011, Vol. 54 Issue 7, p1188-1204, 17p

Subject Terms: INTERACTIVE computer systems, SOFTWARE architecture, COMPUTER architecture, ELECTRONIC data processing, COMPUTER software reusability, COMPUTER software development, COMPUTER software testing, COMPUTER vision

ARCHITECTURAL ABSTRACTIONS IN THE DESIGN OF DISTRIBUTED EMBEDDED SYSTEMS PLATFORMS.

Authors: Kolchurin, Maxim Platunov, Alexey Fedor, Asminkin et al.

Source: Proceedings of the International Multidisciplinary Scientific GeoConference SGEM; 2024, Vol. 24, p19-26, 8p

Subject Terms: VIRTUAL machine systems, INDUSTRIALISM, COMPUTER architecture, TECHNICAL information, ARCHITECTURAL designs

VSim: Simulating Multi-Server Setups at Near Native Hardware Speed

Authors: Frederick Ryckbosch Stijn Polfliet Lieven Eeckhout et al.

Contributors: Frederick Ryckbosch Stijn Polfliet Lieven Eeckhout et al.

Source: http://users.elis.ugent.be/~leeckhou/papers/taco12_vsim.pdf.

Subject Terms: Categories and Subject Descriptors, C.0 [Computer Systems Organization, General—Modeling of computer architecture, C.4[Computer Systems Organization, Performance of Systems—Modeling techniques General Terms, Design, Experimentation, Measurement, Performance Additional Key Words and Phrases, Architectural simulation, virtualization, time dilation ACM Reference Format

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.2538; http://users.elis.ugent.be/~leeckhou/papers/taco12_vsim.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.2538
http://users.elis.ugent.be/~leeckhou/papers/taco12_vsim.pdf

Probabilistic System-on-a-Chip Architectures

Authors: Lakshmi N. Chakrapani Pinar Korkmaz Bilge E. S. Akgul et al.

Contributors: Lakshmi N. Chakrapani Pinar Korkmaz Bilge E. S. Akgul et al.

Source: http://www.crest.gatech.edu/palempbitscurrent/a29-chakrapani.pdf.

Subject Terms: Categories and Subject Descriptors, C.3 [Computer Systems Organization, Special-Purpose and Application-Based Systems, C.1.3 [Processor Architectures, Other Architecture Styles General Terms, Performance, Design, Reliability Additional Key Words and Phrases, Embedded systems, probabilistic computing ACM Reference Format

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.91.430

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.91.430
http://www.crest.gatech.edu/palempbitscurrent/a29-chakrapani.pdf

Phase-Change Memory: An Architectural Perspective.

Authors: ZILBERBERG, OMER WEISS, SHLOMO TOLEDO, SIVAN

Source: ACM Computing Surveys; Jun2013, Vol. 45 Issue 3, p29:1-29:33, 33p, 10 Diagrams, 1 Chart, 1 Graph

Subject Terms: COMPUTER architecture, PHASE change memory, DYNAMIC random access memory, ARCHITECTURAL design, DATA protection, COMPUTER systems

Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications.

Authors: Leon, Vasileios Hanif, Muhammad Abdullah Armeniakos, Giorgos et al.

Source: ACM Computing Surveys; Jul2025, Vol. 57 Issue 7, p1-36, 36p

Subject Terms: ARTIFICIAL neural networks, DIGITAL signal processing, ARTIFICIAL intelligence, ARCHITECTURAL details, COMPUTER systems

Building timing predictable embedded systems

Authors: Axer, Philip Ernst, Rolf Falk, Heiko et al.

Contributors: Axer, Philip Ernst, Rolf Falk, Heiko et al.

Source: ACM Transactions on Embedded Computing Systems. 13:1-37

Subject Terms: safety-critical systems, resource sharing, timing analysis, 02 engineering and technology, [INFO] Computer Science [cs], 6. Clean water, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.7: Organization and Design/D.4.7.4: Real-time systems and embedded systems, [INFO.INFO-ES] Computer Science [cs]/Embedded Systems, 13. Climate action, predictability, 0202 electrical engineering, electronic engineering, information engineering, [INFO]Computer Science [cs], [INFO.INFO-ES]Computer Science [cs]/Embedded Systems, embedded systems

Access URL: http://dl.acm.org/ft_gateway.cfm?id=2560033&type=pdf
https://inria.hal.science/hal-01095461v1
https://doi.org/10.1145/2560033
https://dblp.uni-trier.de/db/journals/tecs/tecs13.html#AxerEFGGGJMRRSHW014
https://dl.acm.org/citation.cfm?doid=2592905.2560033
http://user.it.uu.se/~yi/pdf-files/predictability-tecs13.pdf
https://dl.acm.org/doi/pdf/10.1145/2560033
https://hal-univ-tlse3.archives-ouvertes.fr/hal-01095461v1
https://scholars.cityu.edu.hk/en/publications/building-timing-predictable-embedded-systems(556af0ab-da90-481c-8e96-5583f9e7c240).html

Architecting Internet of Things Systems with Blockchain: A Catalog of Tactics.

Authors: YÁNEZ, WENDY BAHSOON, RAMI ZHANG, YUQUN et al.

Source: ACM Transactions on Software Engineering & Methodology; May2021, Vol. 30 Issue 3, p1-46, 46p

Subject Terms: INTERNET of things, PEER-to-peer architecture (Computer networks), BLOCKCHAINS, ARCHITECTURAL designs, SOFTWARE architecture, ARCHITECTURAL design, DATA recorders & recording

Edge-Oriented Computing Paradigms: A Survey on Architecture Design and System Management.

Authors: CHAO LI YUSHU XUE JING WANG et al.

Source: ACM Computing Surveys; Mar2019, Vol. 51 Issue 2, p1-34, 34p

Subject Terms: COMPUTER systems, ARCHITECTURAL design, EDGE computing, ELECTRONIC data processing, SERVER farms (Computer network management)

Haggle: a Networking Architecture Designed Around Mobile Users

Authors: Scott, James Crowcroft, Jon Hui, Pan et al.

Contributors: Scott, James Crowcroft, Jon Hui, Pan et al.

Source: WONS 2006 : Third Annual Conference on Wireless On-demand Network Systems and Services ; https://hal.inria.fr/inria-00001012 ; WONS 2006 : Third Annual Conference on Wireless On-demand Network Systems and Services, INRIA, INSA Lyon, Alcatel, IFIP, Jan 2006, Les Ménuires (France), pp.78-86

Subject Terms: Session 2 : Applications, ACM: C.: Computer Systems Organization, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], archi, info

Relation: https://hal.inria.fr/inria-00001012/file/10-Scott.pdf; https://hal.inria.fr/inria-00001012

Availability: https://hal.inria.fr/inria-00001012/file/10-Scott.pdf
https://hal.inria.fr/inria-00001012

A scheme of the solar system with the orbits of the planets and comets belonging therets described from Dr. Halley's accurate table of comets ... / by William Whiston, 1720-1725

Authors: Whiston, William, Cartographe Senex, John, Graveur Halley, Edmond, Auteur adapté

Source: Bibliothèque nationale de France, département Cartes et plans, GE DD-2987 (2 B), 1720-1725.

Relation: Notice de recueil : http://catalogue.bnf.fr/ark:/12148/cb40577015h; Appartient à : Collection d'Anville ; 00002 B; Notice du catalogue : http://catalogue.bnf.fr/ark:/12148/cb40583108r

Access URL: http://gallica.bnf.fr/ark:/12148/btv1b53053009t

A method to test concurrent systems using architectural specification.

Authors: Reza, Hassan Grant, Emanuel

Source: Journal of Supercomputing; Mar2007, Vol. 39 Issue 3, p347-357, 11p, 1 Diagram

Subject Terms: SOFTWARE architecture, DISTRIBUTED artificial intelligence, DISTRIBUTED operating systems (Computers), COMPUTER software development, SOFTWARE patterns, PROGRAMMING languages, COMPUTER multitasking, ELECTRONIC data processing, SYSTEM integration

A Methodology for Architectural Design of Concurrent and Distributed Software Systems.

Authors: Reza, Hassan

Source: Journal of Supercomputing; Sep2006, Vol. 37 Issue 3, p227-248, 22p, 7 Diagrams

Subject Terms: ELECTRONIC systems, SYSTEMS software, COMPUTER systems, PARALLEL computers, COMPUTER hardware description languages, COMPUTER architecture, SYSTEMS development, COMPUTER science, COMPUTERS