A novel intrusion detection framework using hybrid deep learning to detect IIoT cloud environments attacks. [PDF]
Chen S, Feng X.
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Advancing Gastrointestinal Cancer Risk Prediction With Patient-Centered Machine Learning: Machine Learning Modeling Study. [PDF]
Baublyte D, Lee J, Gunathilake M, Kim J.
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Robust evaluation of classical and quantum machine learning under noise, imbalance, feature reduction and explainability. [PDF]
Sheoran SK, Yadav V, Sheoran RK.
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Enhanced Prediction of Atrial Fibrillation in Patients With Ischemic Stroke Through Electronic Medical Records and Text Mining: Algorithm Development and Validation. [PDF]
Chen YW, Sung SF, Hu YH, Yang YH.
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FalsEye: proactive detection of false data injection attacks in smart grids using IceCube-optimised ensemble learning. [PDF]
Sheta AN +4 more
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Addressing Class Imbalance in Fetal Health Classification: Rigorous Benchmarking of Multi-Class Resampling Methods on Cardiotocography Data. [PDF]
Hawrami ZSM, Cengiz MA, Dünder E.
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Prediction of Fused Magnesium Operating Mode Based on ADASYN-XGBoost
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Clinically oriented dual-tier screening for post-stroke epilepsy with interpretable machine learning in a severely imbalanced cohort. [PDF]
Wu L, Wu H, Xu L, Li J, Wang J.
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Intrusion detection with HACDT-Net and TRBM-Net using a hybrid deep learning framework with enhanced sampling techniques. [PDF]
Padma Priya N, Mohanbabu G.
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An Effective Model-Based Voting Classifier for Diabetes Mellitus Classification. [PDF]
Zeebaree DQ +7 more
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