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Artificial intelligence

A stochastic numerical approach for a class of singular singularly perturbed system

Zulqurnain Sabir, Thongchai Botmart, [ ... ], Fevzi Erdoğan

Contextual factors predicting compliance behavior during the COVID-19 pandemic: A machine learning analysis on survey data from 16 countries

Nandor Hajdu, Kathleen Schmidt, [ ... ], Barnabas Szaszi

MTNet: A combined diagnosis algorithm of vessel segmentation and diabetic retinopathy for retinal images

Ruochen Liu, Song Gao, [ ... ], Jiaming Liu

Accurate prediction of electricity consumption using a hybrid CNN-LSTM model based on multivariable data

Jaewon Chung, Beakcheol Jang

When less is more powerful: Shapley value attributed ablation with augmented learning for practical time series sensor data classification

Arijit Ukil, Leandro Marin, Antonio J. Jara

Android malware detection method based on highly distinguishable static features and DenseNet

Jiyun Yang, Zhibo Zhang, Heng Zhang, JiaWen Fan

Communication-efficient algorithms for solving pressure Poisson equation for multiphase flows using parallel computers

Soumyadip Ghosh, Jiacai Lu, Vijay Gupta, Gretar Tryggvason

Rice nitrogen nutrition monitoring classification method based on the convolution neural network model: Direct detection of rice nitrogen nutritional status

Qiang Zhai, Chun Ye, [ ... ], Jing Hua

SCGG: A deep structure-conditioned graph generative model

Faezeh Faez, Negin Hashemi Dijujin, Mahdieh Soleymani Baghshah, Hamid R. Rabiee

Risk stratification with explainable machine learning for 30-day procedure-related mortality and 30-day unplanned readmission in patients with peripheral arterial disease

Meredith Cox, J. C. Panagides, [ ... ], Dania Daye

Bioinformatic analysis and clinical diagnostic value of hsa_circ_0004099 in acute ischemic stroke

Jiqing Zheng, Shuiming Luo, Yaobin Long

Artificial intelligence-based analytics for impacts of COVID-19 and online learning on college students’ mental health

Mostafa Rezapour, Scott K. Elmshaeuser

Identifying psychiatric diagnosis from missing mood data through the use of log-signature features

Yue Wu, Guy M. Goodwin, Terry Lyons, Kate E. A. Saunders

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