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Machine learning

Lipid accumulation product and gallstone risk in US adults: A cross-sectional analysis of NHANES 2017–2020 data

Xiaocheng Li, Jun Wang, Kai Leng

geodl: An R package for geospatial deep learning semantic segmentation using torch and terra

Aaron E. Maxwell, Sarah Farhadpour, Srinjoy Das, Yalin Yang

Effective feature selection based HOBS pruned- ELM model for tomato plant leaf disease classification

M. Amudha, K. Brindha

Exploiting the features of deep residual network with SVM classifier for human posture recognition

Irfan Kareem, Syed Farooq Ali, Muhammad Bilal, Muhammad Shehzad Hanif

Classifying forensically important flies using deep learning to support pathologists and rescue teams during forensic investigations

Anna Katharina Gohe, Marius Johann Kottek, Ricardo Buettner, Pascal Penava

Research on intelligent decision support systems for oil and gas exploration based on machine learning

Zisong Wang, Zhiliang Cheng, Xiujian Ding, Lu Xia

Application of style transfer algorithm in the integration of traditional garden and modern design elements

Bei Huang, Lequn Mo, Xiaojiang Tang, Ling Luo

Enhancing land cover object classification in hyperspectral imagery through an efficient spectral-spatial feature learning approach

Masud Ibn Afjal, Md. Nazrul Islam Mondal, Md. Al Mamun

Machine-learning-based identification of patients with IgA nephropathy using a computerized medical billing database

Ryoya Tsunoda, Keitaro Kume, [ ... ], Kunihiro Yamagata

SE-MAConvLSTM: A deep learning framework for short-term traffic flow prediction combining Squeeze-and-Excitation Network and Multi-Attention Convolutional LSTM Network

Rong Zhu, Jie Tang, [ ... ], Songli Chen

Predicting adverse pregnancy outcome in Rwanda using machine learning techniques

Theogene Kubahoniyesu, Ignace Habimana Kabano

DRSegNet: A cutting-edge approach to Diabetic Retinopathy segmentation and classification using parameter-aware Nature-Inspired optimization

Sundreen Asad Kamal, Youtian Du, [ ... ], Sahraoui Dhelim

A machine-learning model for prediction of Acinetobacter baumannii hospital acquired infection

Ido Neuman, Leonid Shvartser, [ ... ], Pierre Singer

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