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Machine learning

Active learning regression quality prediction model and grinding mechanism for ceramic bearing grinding processing

Longfei Gao, Yuhou Wu, Jian Sun, Junxing Tian

CNN-LSTM based emotion recognition using Chebyshev moment and K-fold validation with multi-library SVM

Samanthisvaran Jayaraman, Anand Mahendran

Predicting mechanical properties of CFRP composites using data-driven models with comparative analysis

Ammar Alsheghri, Amna Alhammadi, [ ... ], Maher Maalouf

A transformer-based structure-aware model for tackling the traveling salesman problem

Chun-Sheng Zhao, Li-Pei Wong

Ensemble deep learning for Alzheimer’s disease diagnosis using MRI: Integrating features from VGG16, MobileNet, and InceptionResNetV2 models

Meshrif Alruily, A A Abd El-Aziz, [ ... ], Sameh Abd El-Ghany

Automated mapping of land cover in Google Earth Engine platform using multispectral Sentinel-2 and MODIS image products

Xia Pan, Zhenyi Wang, [ ... ], Sathishkumar Samiappan

Domain generalization for image classification based on simplified self ensemble learning

Zhenkai Qin, Xinlu Guo, Jun Li, Yue Chen

Supervised Machine Learning and Physics Machine Learning approach for prediction of peak temperature distribution in Additive Friction Stir Deposition of Aluminium Alloy

Akshansh Mishra, Vijaykumar Jatt, [ ... ], Emad Abouel Nasr

A population spatialization method based on the integration of feature selection and an improved random forest model

Zhen Zhao, Hongmei Guo, [ ... ], Zonghang He

Positive relationship between education level and risk perception and behavioral response: A machine learning approach

Zhipeng Wei, Zhichun Zhang, [ ... ], Kehu Yang

Using deep learning artificial intelligence for sex identification and taxonomy of sand fly species

Mohammad Fraiwan, Rami Mukbel, Dania Kanaan

Using artificial intelligence tools to automate data extraction for living evidence syntheses

Evan Mitchell, Elisha B. Are, Caroline Colijn, David J. D. Earn

RETRACTED: Advancing enterprise risk management with deep learning: A predictive approach using the XGBoost-CNN-BiLSTM model

Hui Zhang, Weihua Zhang

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