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Machine learning algorithms

Robust sparse smooth principal component analysis for face reconstruction and recognition

Jing Wang, Xiao Xie, [ ... ], Yan Feng

Drivers and forecasting of carbon emissions with extended LMDI and Bagging models: A case study of China’s Bohai Rim region

Wen Yu, Jianguo Lin, Shusheng Yin

A new dataset for measuring the performance of blood vessel segmentation methods under distribution shifts

Matheus Viana da Silva, Natália de Carvalho Santos, [ ... ], Cesar H. Comin

A lithium-ion batteries SOH estimation method based on extracting new features during the constant voltage charging stage and improving BPNN

Yanhua Xian, Mingyang Li, Jiayin Huang

Landslide hazard early warning method for rock slopes using a hybrid LSTM-SARIMA data-driven model

Yongxin Dai, Zijian Li, Jingbiao Lu

An improved Red-billed blue magpie feature selection algorithm for medical data processing

Chenyi Zhu, Zhiyi Wang, Yinan Peng, Wenjun Xiao

Research on the financial early warning models based on ensemble learning algorithms: Introducing MD&A and stock forum comments textual indicators

Zhiheng Zhang, Zhenji Zhu, Yongjun Hua

Evaluation of landslide susceptibility based on SMOTE-Tomek sampling and machine learning algorithm

Ming-zhou Lv, Kun-lun Li, [ ... ], Hui Xu

Enhanced intelligent train operation algorithms for metro train based on expert system and deep reinforcement learning

Yunhu Huang, Wenzhu Lai, [ ... ], Jiateng Yin

Detection of pediatric developmental delay with machine learning technologies

Shin-Bo Chen, Chi-Hung Huang, Sheng-Chin Weng, Yen-Jen Oyang

OBM-RFEcv: An adaptive ensemble model for monitoring key growth indicators of Gerbera using multi-spectral image fusion features

Xinrui Wang, Yingming Shen, [ ... ], Ye Qian

Path planning algorithm for logistics autonomous vehicles at Cainiao stations based on multi-sensor data fusion

Yan Chen

Developing a machine learning algorithm to predict psychotropic drugs-induced weight gain and the effectiveness of anti-obesity drugs in patients with severe mental illness: Protocol for a prospective cohort study

Hye Jun Lee, Na Yeon Kim, [ ... ], Sun Mi Kim

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