Search Results - acm: c.: computer systems organization/c.5: computer system implementation/c.5.3: microcomputers*

1

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

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2

System Administration under OS X: Open source software to manage Apple computers running OS X ; Administration Système OS X: Outils libres pour gérer un parc de machines Apple sous OS X

Authors: Masquelin, Mickael de Smet, Gauthier Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN) et al.

Contributors: Masquelin, Mickael de Smet, Gauthier Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN) et al.

Source: Congrès JRES : Les Journées Réseaux ; https://hal.science/hal-01639491 ; Congrès JRES : Les Journées Réseaux, Dec 2015, Montpellier, France

Subject Terms: ACM: C.: Computer Systems Organization/C.5: COMPUTER SYSTEM IMPLEMENTATION/C.5.3: Microcomputers, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.7: Organization and Design, [INFO.INFO-OS]Computer Science [cs]/Operating Systems [cs.OS]

Subject Geographic: Montpellier, France

Availability: https://hal.science/hal-01639491

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3

Observations upon the windward coast of Africa, the religion, character, customs, &c., of the natives : with a system upon wich they may be civilised, and a knowledge attained of the interior of this extraordinary quarter of the globe, and upon the natural and commercial resources of the country : made in the years 1805 and 1806 / by Joseph Corry, 1807

Authors: Corry, Joseph. Auteur du texte

Source: Bibliothèque nationale de France, département Réserve des livres rares, 4-O3-588, 1807.

Relation: Notice du catalogue : http://catalogue.bnf.fr/ark:/12148/cb37745673f

Access URL: http://gallica.bnf.fr/ark:/12148/bpt6k2001962

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4

Implementation of multiuser MUMPS language database systems on microcomputers.

Authors: Quattlebaum TG; Department of Pediatrics, Medical University of South Carolina, Charleston 29425.

Source: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 1988 Jan-Feb; Vol. 26 (1), pp. 45-52.

Publication Type: Journal Article

Journal Info: Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print Cited Medium: Print ISSN: 0169-2607 (Print) Linking ISSN: 01692607 NLM ISO Abbreviation: Comput Methods Programs Biomed Subsets: MEDLINE

MeSH Terms: Computer Systems* , Computers* , Microcomputers* , Programming Languages*, Information Systems/*organization & administration, Software Design

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5

Dadant system of bee Keeping / by C. P. Dadant,.., 1920

Authors: Dadant, Camille-Pierre, 1851-1938, Auteur du texte

Source: Société Centrale d'Apiculture, NUM 02288, 1920.

Relation: Notice du catalogue : http://catalogue.bnf.fr/ark:/12148/cb31987511f

Access URL: http://gallica.bnf.fr/ark:/12148/bd6t53576132

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6

Sequential stochastic dominance, principles and implementation : an application to the assessment of the French and German tax system, 2007

Authors: Institut national de la statistique et des études économiques (France). Auteur du texte

Source: BNSP-Insee, 2007.

Relation: Notice du catalogue : http://catalogue.bnf.fr/ark:/12148/cb46764657b; Première de couverture : 549381

Access URL: http://gallica.bnf.fr/ark:/12148/bc6p06zqw1p

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7

Microcomputers as Remote Nodes of a Distributed System.

Authors: Pechura, Michael A.

Source: Communications of the ACM; Nov81, Vol. 24 Issue 11, p734-738, 5p, 4 Diagrams

Subject Terms: PERSONAL computers, DISTRIBUTED computing, COMPUTER networks, ACCESS control

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8

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 orcid:0009-0001-4070-

Relation: https://zenodo.org/records/16968739; oai:zenodo.org:16968739; https://doi.org/10.5281/zenodo.16968739

Availability: https://doi.org/10.5281/zenodo.16968739
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9

Implementation of a province-wide computerized network in Quebec: the FAMUS Project.

Authors: Grant A Delisle E Dubois S et al.

Source: M.D. computing : computers in medical practice [MD Comput] 1995 Jan-Feb; Vol. 12 (1), pp. 45-9.

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal Info: Publisher: Springer-Verlag New York Inc Country of Publication: United States NLM ID: 8408946 Publication Model: Print Cited Medium: Print ISSN: 0724-6811 (Print) Linking ISSN: 07246811 NLM ISO Abbreviation: MD Comput Subsets: MEDLINE