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131 Treffer

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131 Treffer

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  1. Detailansicht für Treffer 1 öffnen
    Computational intelligence in eye disease diagnosis: a comparative study
    S. V. Mahesh Kumar ; Gunasundari, R.
    In: Medical & Biological Engineering & Computing, Jg. 61 (2023-01-03), S. 593-615
    Online unknown
    Zugriff:
    Volltext (PDF)
    Siehe Detailanzeige für Volltext
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  2. Detailansicht für Treffer 2 öffnen
    Radiological Analysis of COVID-19 Using Computational Intelligence: A Broad Gauge Study
    Vineth Ligi Sivalingam ; Dhanalakshmi, Samiappan ; et al.
    In: Journal of Healthcare Engineering, Jg. 2022 (2022-02-23), S. 1-25
    unknown
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  3. Detailansicht für Treffer 3 öffnen
    Computational Intelligence Based Selection and Placement of Decoupling Capacitors: A Comparative Study
    Hemaram, Surendra ; Jai Narayan Tripathi
    In: IEEE Electromagnetic Compatibility Magazine, Jg. 11 (2022), S. 49-59
    Online unknown
    Zugriff:
    Volltext
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  4. Detailansicht für Treffer 4 öffnen
    Computational intelligence in subthalamic nucleus deep brain stimulation: A case study in Parkinson's disease using machine learning supervised techniques
    Venkateshwarla Rama Raju
    In: IP Indian Journal of Neurosciences, Jg. 7 (2021-07-15), S. 156-163
    unknown
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  5. Detailansicht für Treffer 5 öffnen
    Computational intelligence to study the importance of predictors in white oat (Avena sativa L.)
    Antônio Carlos Silva Júnior ; Isabela Castro Sant’Anna ; et al.
    2022
    unknown
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  6. Detailansicht für Treffer 6 öffnen
    A Study on Various Methods involved in Remote Education using Computational Intelligence for Teaching Learning Process
    Mathew, Alex ; K Martin Sagayam
    In: 2022 6th International Conference on Devices, Circuits and Systems (ICDCS), 2022-04-21
    unknown
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  7. Detailansicht für Treffer 7 öffnen
    Survey of Recent Studies on Healthcare Technologies and Computational Intelligence Approaches and Their Applications
    Lokesh Kumar Sahu ; Prafulla Kumar Vyas ; et al.
    2022
    unknown
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  8. Detailansicht für Treffer 8 öffnen
    Early Diagnosis of Asthma Diseases Using Computational Intelligence Techniques: A Case Study on Saudi Arabian Dataset
    Olatunji, Sunday O. ; Alotaibi, Sarah ; et al.
    In: SSRN Electronic Journal, 2022
    unknown
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  9. Detailansicht für Treffer 9 öffnen
    Applications of Computational Intelligence in the Studies of Covid-19
    Bello, Rafael ; García, María M. ; et al.
    2022
    unknown
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  10. Detailansicht für Treffer 10 öffnen
    Landslide Risk Dynamics Modeling Using AHP-TOPSIS Model, Computational Intelligence Methods, and Geospatial Analytics: A Case Study of Aizawl City, Mizoram—India
    Rohmingthangi, Gospel ; Kypacharili, F. C. ; et al.
    2022
    unknown
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  11. Detailansicht für Treffer 11 öffnen
    Author response for 'Experimental study and computational intelligence on dynamic viscosity and thermal conductivity of HNTs based nanolubricant'
    null Valéry Tusambila Wadi ; null Özkan Özmen ; et al.
    2021
    unknown
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  12. Detailansicht für Treffer 12 öffnen
    Data-driven computational intelligence applied to dengue outbreak forecasting: a case study at the scale of the city of Natal, RN-Brazil
    Sanchez-Gendriz, Ignacio ; Gustavo Fontoura de Souza ; et al.
    In: Scientific reports, Jg. 12 (2021-10-29), Heft 1
    unknown
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  13. Detailansicht für Treffer 13 öffnen
    Coronary Artery Heart Disease Prediction: A Comparative Study of Computational Intelligence Techniques
    Md. Rahat Hossain ; Md. Milon Islam ; et al.
    In: IETE Journal of Research, Jg. 68 (2020-01-21), S. 2488-2507
    unknown
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  14. Detailansicht für Treffer 14 öffnen
    A Comparative Study of Computational Intelligence Algorithms for Sensor Localization
    Kulkarni, Vaishali R. ; Desai, Veena ; et al.
    In: International Journal of Sensors, Wireless Communications and Control, Jg. 9 (2019-10-25), S. 224-236
    unknown
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  15. Detailansicht für Treffer 15 öffnen
    Ubiquitous Computing and the Internet of Things: Socio-Economic Transformation and Regulation (Book Review: Ubiquitous Computing and the Internet of Things: Prerequisites for the Development of ICT [Electronic resource]
    ed. by E. G. Popkova. – Cham : Springer Science + Business Media, 2019. – (Studies in Computational Intelligence ; vol. 826))
    In: Legal Concept, 2019-10-01, S. 154-166
    unknown
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  16. Detailansicht für Treffer 16 öffnen
    Adu, K.K. and Adjei, E. (2018). The phenomenon of data loss and cyber security issues in Ghana. Foresight, 20(2), 150–61. Ahmed, M.T.U., Bhuiya, N.I. and Rahman, M.M. (2017). A secure enterprise architecture focused on security and technology-transformation (SEAST), The 12th International Conference for Internet Technology and Secured Transactions, (ICITST-2017), Cambridge, UK, 11–4/12/2017. Alanazi, S.T., Anbar, M., Ebad, S.A., Karuppayah, S. and Al-Ani, H.A. (2020). Theory-based model and prediction analysis of information security compliance behavior in the Saudi healthcare sector. Symmetry, 12(9), 1544. DOI: 10.3390/sym12091544 Alateyah, S.A., Crowder, R.M. and Wills, G.B. (2013). Identified factors affecting the citizen’s intention to adopt e-government in Saudi Arabia. World Academy of Science, Engineering and Technology, 7(8), 904–12. Antonino, P., Duszynski, S., Jung, C. and Rudolph, M. (2010). Indicator-based architecture-level security evaluation in a service-oriented environment. In: The Fourth European Conference on Software Architecture: Copenhagen, Denmark, 23–26/08/2010. DOI: 10.1145/1842752.1842795. Chaturvedi, M., Gupta, M. and Bhattacharya, J. (2008). Cyber Security Infrastructure in India: A Study, Emerging Technologies in E-Government. Available at: http://www.csi-sigegov.org/emerging_pdf/9_70-84.pdf (Accessed on 15/11/2020). Dalol, M.H. (2018). Effectiveness of Accounting Information Systems in Light of Development of IT Infrastructure and Information Security. Master’s Dissertation, The Islamic University of Gaza, Gaza, Palestine. Dooley, K. (2001). Designing Large Scale LANs: Help for Network Designers. USA: O'Reilly Media. Ebad, S. (2018a) An exploratory study of ICT projects failure in emerging markets. Journal of Global Information Technology Management, 21(2), 139–60. DOI: 10.1080/1097198X.2018.1462071. Ebad, S. (2018b). The influencing causes of software unavailability: A case study from industry. Software Practice and Experience, 48(5), 1056–76. DOI: 10.1002/spe.2569. Hashizume, K., Rosado, D.G., Fernández-Medina, E. and Fernandez, E.B. (2013). An analysis of security issues for cloud computing. Journal of Internet Services and Applications, 4(5), n/a. DOI: 10.1186/1869-0238-4-5. Kirby, L. (2015). Beyond Cyber Security: Protecting Your IT Infrastructure. Available at https://uptimeinstitute.com/images/Documents/ProtectingYourITInfrastructure.pdf (accessed on 15/11/2020). Lethbridge, T.C., Sim, S.E. and Singer, J. (2005). Studying software engineers: Data collection techniques for software field studies. Empirical Software Engineering, 10(3), 311–41. Marrone, M. and Kolbe, L.M. (2011). Impact of IT service management frameworks on the IT organization. Business and Information Systems Engineering, 3(1), 5–18. Mastelic, T. and Brandic, I. (2013). TimeCap: Methodology for comparing IT infrastructures based on time and capacity metrics. In: The IEEE 6th International Conference on Cloud Computing, 131–8, Santa Clara, CA, USA, 28/06–03/07/2013. Mimura, M. and Suga, Y. (2019). Filtering malicious JavaScript code with Doc2Vec on an imbalanced dataset. In: The 14th Asia Joint Conference on Information Security (AsiaJCIS), Kobe, Japan, 24–31/08/2019. Pearlson, K.E., Saunders, C.S. and Galletta, D.F. (2019). Managing and Using Information Systems. 5th edition, USA: Wiley. Popp, K. and Meyer, R. (2011). Profit from Software Ecosystems Models, Ecosystems and Partnerships in the Software Industry. Norderstedt, Germany: Books on Demand. Priem, R. (2020). Distributed ledger technology for securities clearing and settlement: Benefits, risks, and regulatory implications. Financial Innovation, 6(11), n/a. DOI: 10.1186/s40854-019-0169-6. Rabii, L. and Abdelaziz, D. (2015). Comparison of e-readiness composite indicators, The 15th International Conference on Intelligent Systems Design and Applications (ISDA), Marrakech, Morocco, 14–16/12/2015. Sanchez-Nielsen, E., Padron-Ferrer, A. and Marreo-Estevez, F. (2011). A multi-agent system for incident management solutions on IT infrastructures. In: The 14th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2011), La Laguna, Spain, 07–11/11/2011. Schoenfisch, J, Meilicke, C., Stülpnagel, J.V. and Ortmann, J (2018). Root cause analysis in IT infrastructures using ontologies and abduction in Markov logic networks. Information Systems, 74(2), 103–16. Shang, S. and Seddon, P.B. (2000). A comprehensive framework for classifying the benefits of ERP systems. In: The 2000 American Conference of Information Systems, Long Beach, California, 10–13/08/2000. Shoffner, M., Owen, P., Mostafa, J., Lamm, B., Wang, X., Schmitt, C.P. and Ahalt S.C. (2013). The secure medical research workspace: An IT infrastructure to enable secure research on clinical data. Clinical and Translational Science, 6 (3), 222–5. Shrivastava, A.K. (2015). The impact assessment of IT Infrastructure on information security: a survey report. In: International Conference on Information Security and Privacy (ICISP2015), Nagpur, India, 11–12/12/2015. Sommerville, I. (2015). Software Engineering. 10th edition, UK: Pearson. Sousa, K.J. and Oz, E. (2015). Management Information Systems. 7th edition, USA: Cengage Learning. Teymourlouei, H., and Harris, V. (2019). Effective methods to monitor IT infrastructure security for small business. In: The 2019 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA, 5–7/12/2019. Topper, J. (2018). Compliance is not security. Computer Fraud and Security, 2018(3), 5–8. DOI: 10.1016/S1361-3723(18)30022-8. Wohlin, C., Runeson, P., Host, M., Ohlsson, M.C., Regnell, B. and Wesslen, A. (2012). Experimentation in Software Engineering. Germany: Springer. Yasasin, E., Prester, J., Wagner, G. and Schryen, G. (2020). Forecasting IT security vulnerabilities –an empirical analysis. Computers and Security, 88(n/a), n/a. DOI: 10.1016/j.cose.2019.101610. Zambon, E., Etalle, S., Wieringa, R.J. and Hartel, P. (2010). Model-based qualitative risk assessment for availability of IT infrastructures. Software and Systems Modeling, 10(4), 553–80
    Emad Al Khoufi
    In: Basic and Applied Sciences - Scientific Journal of King Faisal University, Jg. 22 (2021)
    unknown
    Wie komme ich dran?
  17. Detailansicht für Treffer 17 öffnen
    Review for 'Experimental study and computational intelligence on dynamic viscosity and thermal conductivity of HNTs based nanolubricant'
    aygri, null
    2021
    unknown
    Wie komme ich dran?
  18. Detailansicht für Treffer 18 öffnen
    Computational intelligence in eye disease diagnosis: a comparative study
    S V Mahesh, Kumar ; R, Gunasundari
    In: Medicalbiological engineeringcomputingReferences, 2021-04-21
    unknown
    Wie komme ich dran?
  19. Detailansicht für Treffer 19 öffnen
    Study of the Angular Positioning of a Rotating Object Based on Some Computational Intelligence Methods
    Volosencu, Constantin
    In: Mathematics, Jg. 10 (2022-04-03), S. 1157
    unknown
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  20. Detailansicht für Treffer 20 öffnen
    Computational Intelligence to Study the Importance of Predictors in White Oat ( Avena Sativa L.)
    Antônio Carlos da Silva Júnior ; Isabela Castro Sant’Anna ; et al.
    In: SSRN Electronic Journal, 2021
    unknown
    Wie komme ich dran?

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