نتائج البحث

Enhancing Peak Runoff Forecasting through Feature Engineering Applied to X-Band Radar Data.

• Authors : Álvarez-Estrella, Julio^1,2 (AUTHOR) ; Muñoz, Paul¹ (AUTHOR) ; Bendix, Jörg³ (AUTHOR)

Subjects: *RUNOFF; *RADAR; *RUNOFF modelsANDES

• Source: Water (20734441). Apr2024, Vol. 16 Issue 7, p968. 19p.

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Feature engineering combined with 1-D convolutional neural network for improved mortality prediction.

• Authors : Verma, Rohit¹ (AUTHOR) ; Maheshwari, Saumil² (AUTHOR); Shukla, Anupam³ (AUTHOR)

• Source: Bio-Algorithms & Med-Systems. Dec2020, Vol. 16 Issue 4, p1-13. 13p.

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USING FEATURE ENGINEERING IN LOGISTIC REGRESSION AND RANDOM FOREST METHODS TO IMPROVE EMPLOYEE ATTRITION PREDICTION IN KIMIA FARMA

• Authors : Asep Sutisna, Lani

Subjects: selectKBest; employee attrition; machine learning

• Source: INFOKUM; Vol. 10 No. 5 (2022): December, Computer and Communication; 1421-1439 ; 2722-4635 ; 2302-9706

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Enhancing Peak Runoff Forecasting through Feature Engineering Applied to X-Band Radar Data

• Authors : Julio Álvarez-Estrella; Paul Muñoz; Jörg Bendix

Subjects: Peak runoff forecast; X-band radar; Random Forest

• Source: Water, Vol 16, Iss 7, p 968 (2024)

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DDoS attack detection with feature engineering and machine learning: the framework and performance evaluation

• Authors : Muhammad Aamir; Syed Mustafa Ali Zaidi

Subjects: Feature engineering; 021110 strategic, defence & security studies; Computer Networks and Communications

• Source: International Journal of Information Security. 18:761-785

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Improving Performance of Ensemble Learners for Breast Cancer Detection Using Feature Engineering

• Authors : Poonam Moral; Debjani Mustafi

Subjects: Machine Learning; Breast cancer; Random forest

• Source: International Journal of Microsystems and IoT, 1(3), 148-155, (2023-08-21)

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Transformer Oil Quality Assessment Using Random Forest with Feature Engineering

• Authors : Mohammed El Amine Senoussaoui; Issouf Fofana; Mostefa Brahami

Subjects: Feature engineering; Control and Optimization; Computer science

• Source: Energies; Volume 14; Issue 7; Pages: 1809Energies, Vol 14, Iss 1809, p 1809 (2021)

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Improvement of Short-Term BIPV Power Predictions Using Feature Engineering and a Recurrent Neural Network

• Authors : Dongkyu Lee; Sung Hoon Yoon; Young Tae Chae

Subjects: Feature engineering; Control and Optimization; Computer science

• Source: Energies; Volume 12; Issue 17; Pages: 3247Energies, Vol 12, Iss 17, p 3247 (2019)

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Leveraging Big Data Analytics for Efficient Bug Localization in Large-Scale Software Projects.

• Authors : Kavitha, P. Naga¹; Rajeswari, K.¹; Marina, Lydia¹

• Source: Library of Progress-Library Science, Information Technology & Computer; Jul-Dec2024, Vol. 44 Issue 3, p20621-20630, 10p

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Transformer Oil Quality Assessment Using Random Forest with Feature Engineering.

• Authors : Senoussaoui, Mohammed El Amine^1,2 (AUTHOR) ; Brahami, Mostefa² (AUTHOR); Fofana, Issouf³ (AUTHOR)

• Source: Energies (19961073). Apr2021, Vol. 14 Issue 7, p1809-1809. 1p.

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