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Artificial intelligence

AD-GCN: A novel graph convolutional network integrating multi-omics data for enhanced Alzheimer’s disease diagnosis

Zilu Li, Qingyun Li, [ ... ], Yangfan Guo

Advancing artificial intelligence applicability in endoscopy through source-agnostic camera signal extraction from endoscopic images

Ioannis Kafetzis, Philipp Sodmann, [ ... ], Alexander Hann

Short-term power load forecasting in China: A Bi-SATCN neural network model based on VMD-SE

Yuan Huang, Qimeng Feng, Feilong Han

Carbon peaking prediction scenarios based on different neural network models: A case study of Guizhou Province

Da Lian, Shi Qiang Yang, [ ... ], Wen Rui Ran

Inferring school district learning modalities during the COVID-19 pandemic with a hidden Markov model

Mark J. Panaggio, Mike Fang, [ ... ], Sharyn E. Parks

Incident duration prediction through integration of uncertainty and risk factor evaluation: A San Francisco incidents case study

Amirreza Salehi, Ardavan Babaei, Majid Khedmati

Scallop fishing activity characterization in Southern New England: Offshore wind demands and fisheries-dependent methods

Julia Livermore, Todd Guilfoos

AI-driven bone mineral density prediction from chest x-rays and its association with obstructive sleep apnea

Hung-Lung Tsai, Kuan-Hung Cheng, [ ... ], Shih-Wei Chen

Machine learning model to study the rugby head impact in a laboratory setting

Danyon Stitt, Natalia Kabaliuk, [ ... ], Nick Draper

Predicting prediction: A systematic workflow to analyze factors affecting the classification performance in genomic biomarker discovery

Michael Netzer, Christian Baumgartner, Daniel Baumgarten

PoseNet++: A multi-scale and optimized feature extraction network for high-precision human pose estimation

Chao Lv, Geyao Ma

Seismic resolution improving by a sequential convolutional neural network

Zhenyu Yuan, Yuxin Jiang, [ ... ], Yong Wang

Analysis of crop disease and pest occurrences: Insights from Japan’s national surveys

Jianqiang Sun, Sunao Ochi, Takehiko Yamanaka

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