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Machine learning ensemble model prediction of northward shift in potato cyst nematodes(Globodera rostochiensis and G.pallida)distribution under climate change conditions
《Journal of Integrative Agriculture》2024年第10期3576-3591,共16页Yitong He Guanjin Wang Yonglin Ren Shan Gao Dong Chu Simon J.McKirdy 
funded by the National Key R&D Program of China(2021YFD1400200);the Taishan Scholar Constructive Engineering Foundation of Shandong,China(tstp20221135)。
Potato cyst nematodes(PCNs)are a significant threat to potato production,having caused substantial damage in many countries.Predicting the future distribution of PCN species is crucial to implementing effective biosec...
关键词：invasive species distribution future climates homogeneous climate predictors single-algorithm ensembles multi-algorithm ensembles artificial neural network 
Multi-algorithm Fusion Framework for Energy Prediction of Energy Harvesting IoT Node and Implementation被引量：1
《Chinese Journal of Electronics》2020年第5期952-958,共7页LI Xiangyu XIE Nijie 
supported by the Research and Development Plan in Key Areas of Guangdong Province,China(No.2019B010117002).
Accurate harvested energy prediction of the energy harvesting Internehings(IoT)nodes is the basis of the proper power management and should be lowoverhead.A new multi-algorithm fusion framework,which merges results of...
关键词：Energy harvesting Energy prediction Multi-algorithm fusion Internethings. 
Multi-algorithm and multi-model based drug target prediction and web server
《Acta Pharmacologica Sinica》2014年第3期419-431,共13页Ying-tao LIU Yi LI Zi-fu HUANG Zhi-jian XU Zhuo YANG Zhu-xi CHEN Kai-xian CHEN Ji-ye SHI Wei-lia ng ZHU 
Aim： To develop a reliable computational approach for predicting potential drug targets based merely on protein sequence. Methods： With drug target and non-target datasets prepared and 3 classification algorithms （...
关键词：drug target protein sequence multi-algorithm and multi-model strategy web server support vector machine NEURALNETWORK decision tree 
A real-time prediction method for tunnel boring machine cutter-head torque using bidirectional long short-term memory networks optimized by multi-algorithm被引量：7
《Journal of Rock Mechanics and Geotechnical Engineering》2022年第3期798-812,共15页Xing Huang Quantai Zhang Quansheng Liu Xuewei Liu Bin Liu Junjie Wang Xin Yin 
financially supported by the National Natural Science Foundation of China (Grant Nos. 52074258, 41941018, and U21A20153)
Based on data from the Jilin Water Diversion Tunnels from the Songhua River(China),an improved and real-time prediction method optimized by multi-algorithm for tunnel boring machine(TBM)cutter-head torque is presented...
关键词：Tunnel boring machine(TBM) Real-time cutter-head torque prediction Bidirectional long short-term memory (BLSTM) Bayesian optimization Multi-algorithm fusion optimization Incremental learning 
Application of multi-algorithm ensemble methods in high-dimensional and small-sample data of geotechnical engineering:A case study of swelling pressure of expansive soils
《Journal of Rock Mechanics and Geotechnical Engineering》2024年第5期1896-1917,共22页Chao Li Lei Wang Jie Li Yang Chen 
great gratitude to National Key Research and Development Project(Grant No.2019YFC1509800)for their financial support;National Nature Science Foundation of China(Grant No.12172211)for their financial support.
Geotechnical engineering data are usually small-sample and high-dimensional,which brings a lot of challenges in predictive modeling.This paper uses a typical high-dimensional and small-sample swell pressure(P_(s))data...
关键词：Expansive soils Swelling pressure Machine learning(ML) Multi-algorithm ensemble Sensitivity analysis 
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