نتائج البحث

Breast cancer: A hybrid method for feature selection and classification in digital mammography.

• Authors : Thawkar, Shankar¹ (AUTHOR) ; Katta, Vijay² (AUTHOR); Parashar, Ajay Raj¹ (AUTHOR)

• Source: International Journal of Imaging Systems & Technology. Sep2023, Vol. 33 Issue 5, p1696-1712. 17p.

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Improving Air Pollution Prediction Modelling Using Wrapper Feature Selection.

• Authors : Ul-Saufie, Ahmad Zia¹ (AUTHOR) ; Hamzan, Nurul Haziqah¹ (AUTHOR); Zahari, Zulaika¹ (AUTHOR)

Subjects: *FEATURE selection; *AIR pollution; *WRAPPERSMALAYSIA

• Source: Sustainability (2071-1050). Sep2022, Vol. 14 Issue 18, p11403-N.PAG. 16p.

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Comparative Study of Coupling Models of Feature Selection Methods and Machine Learning Techniques for Predicting Monthly Reservoir Inflow.

• Authors : Weekaew, Jakkarin¹ (AUTHOR); Ditthakit, Pakorn² (AUTHOR) ; Pham, Quoc Bao³ (AUTHOR)

Subjects: *FEATURE selection; *MACHINE learning; *ARTIFICIAL neural networksTHAILAND

• Source: Water (20734441). Dec2022, Vol. 14 Issue 24, p4029. 22p.

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Empowering Intrusion Detection Systems: A Synergistic Hybrid Approach with Optimization and Deep Learning Techniques for Network Security.

• Authors : Chinnasamy, Ramya¹ ; Subramanian, Malliga¹ ; Sengupta, Nandita²

Subjects: *ARTIFICIAL neural networks; *FUZZY neural networks; *DEEP learning

• Source: International Arab Journal of Information Technology (IAJIT). Jan2025, Vol. 22 Issue 1, p60-76. 17p.

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Efficient Feature Selection Method using Binary Teaching-learning-based Optimization Algorithm

• Authors : S. Hosseini; M. Khorashadizade

Subjects: feature selection; classification problem; evolutionary algorithm

• Source: Journal of Artificial Intelligence and Data Mining, Vol 11, Iss 1, Pp 29-37 (2023)

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An application of machine learning regression to feature selection: a study of logistics performance and economic attribute.

• Authors : Jomthanachai, Suriyan¹ (AUTHOR); Wong, Wai Peng² (AUTHOR) ; Khaw, Khai Wah³ (AUTHOR)

• Source: Neural Computing & Applications. Sep2022, Vol. 34 Issue 18, p15781-15805. 25p.

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B2C3NetF2: Breast cancer classification using an end‐to‐end deep learning feature fusion and satin bowerbird optimization controlled Newton Raphson feature selection

• Authors : Mamuna Fatima; Muhammad Attique Khan; Saima Shaheen

Subjects: artificial intelligence; artificial neural network; deep learning

• Source: CAAI Transactions on Intelligence Technology, Vol 8, Iss 4, Pp 1374-1390 (2023)

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Gamma distribution based predicting model for breast cancer drug response based on multi-layer feature selection

• Authors : Tongtong Cui; Zeyuan Wang; Hong Gu

Subjects: drug response; machine learning; feature selection

• Source: Frontiers in Genetics, Vol 14 (2023)

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Student performance classification: a comparison of feature selection methods based on online learning activities

• Authors : Aqif Hadi Alias, Muhammad; Azri Abdul Aziz, Mohd; Hambali, Najidah

Subjects: Artificial neural network; Classification; Feature selection

• Source: Student performance classification: a comparison of feature selection methods based on online learning activities, 14(4), 4675-4685,

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Intelligent wood machining monitoring using vibration signals combined with self-organizing maps for automatic feature selection.

• Authors : Nasir, Vahid¹ (AUTHOR) ; Cool, Julie² (AUTHOR)

• Source: International Journal of Advanced Manufacturing Technology. May2020, Vol. 108 Issue 5/6, p1811-1825. 15p.

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