يعرض 1 - 4 نتائج من 4 نتيجة بحث عن '"Mouli, Kathi Chandra"', وقت الاستعلام: 0.81s تنقيح النتائج
  1. 1
    مؤتمر
    Enhancing the Efficiency of Energy Storage and Management Systems for Hybrid Renewable Energy Applications in Tall Apartment Buildings

    المؤلفون: Udayakumar, R., Alzubaidi, Laith H., S, Sheril, Ilyos, Kabulov, Rai, Anjani Kumar, Gopalakrishnan, S., Mouli, Kathi Chandra

    المصدر: 2023 International Conference for Technological Engineering and its Applications in Sustainable Development (ICTEASD) Technological Engineering and its Applications in Sustainable Development (ICTEASD), 2023 International Conference for. :159-164 Nov, 2023

    Relation: 2023 International Conference for Technological Engineering and its Applications in Sustainable Development (ICTEASD)

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  2. 2
    مؤتمر
    Revolutionizing Reservoir Management with Machine Learning: Enhancing Efficiency and Decision-Making in the Oil and Gas Industry

    المؤلفون: Chandramauli, Awadhesh, Sapaev, B., Alzubaidi, Laith H., Pathak, Shriram, Rai, Anjani Kumar, Vennila, C., Mouli, Kathi Chandra

    المصدر: 2023 International Conference for Technological Engineering and its Applications in Sustainable Development (ICTEASD) Technological Engineering and its Applications in Sustainable Development (ICTEASD), 2023 International Conference for. :293-299 Nov, 2023

    Relation: 2023 International Conference for Technological Engineering and its Applications in Sustainable Development (ICTEASD)

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  3. 3
    دورية أكاديمية
    Performance analysis of linear and non-linear machine learning models for forecasting compressive strength of concrete.

    المؤلفون: Mouli, Kathi Chandra1 chandramouli1714@grietcollege.com, Raghavendran, Ch. V.2, Rao, Ch. Mallikarjuna1, Ushasree, D.1, Indupriya, B.1, Vatin, Nikolai Ivanovich3,4, Negi, Anup Singh5

    المصدر: Cogent Engineering. 2024, Vol. 11 Issue 1, p1-10. 10p.

    مصطلحات موضوعية: *Machine learning, Regression analysis, Nonlinear regression, Regression trees, Axial loads

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  4. 4
    دورية أكاديمية
    An analysis on classification models for customer churn prediction.

    المؤلفون: Mouli, Kathi Chandra1 chandramouli1714@grietcollege.com, Raghavendran, Ch. V.2, Bharadwaj, V. Y.1, Vybhavi, G. Y.1, Sravani, C.1, Vafaeva, Khristina Maksudovna3, Deorari, Rajesh4, Hussein, Laith5

    المصدر: Cogent Engineering. 2024, Vol. 11 Issue 1, p1-10. 10p.

    مصطلحات موضوعية: *Machine learning, *Decision trees, Random forest algorithms, Private sector, Consumers, Naive Bayes classification

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