MACHINELEARNING

作品数：19被引量：21H指数：3
导出分析报告
相关领域：自动化与计算机技术更多>>
相关作者：吴国钟沈洪远更多>>
相关机构：天津大学湖南科技大学更多>>
相关期刊：《International Journal of Digital Earth》《Building Simulation》《Frontiers of Computer Science》《Intelligent Automation & Soft Computing》更多>>
相关基金：国家自然科学基金中国博士后科学基金更多>>
-
在结果中检索

检索结果分析

结果分析中...
共 条 记 录，以下是1-10
全选清除导出
参考文献引证文献引用追踪
视图：
排序：
JAI Introduction
《Journal of Automation and Intelligence》2025年第1期F0002-F0002,共1页
Artificial intelligence(Al)is almost everywhere due to therapid development of modern technology and popularityof intelligent devices.While control theory and machinelearning techniques as two enabling technologies ha...
关键词：control theory machinelearning techniques artificial intelligence al intelligent deviceswhile controltheory NONLINEARITY machinlearning modern technology agent networks 
Detectability of multi-dimensional movement and behaviour in cattle using sensor data and machine learning algorithms:Study on a updates Charolais bull
《Artificial Intelligence in Agriculture》2024年第4期86-98,共13页Miklos Biszkup Gabor Vasarhelyi Nuri Nurlaila Setiawan Aliz Marton Szilard Szentes Petra Balogh Barbara Babay-Torok Gabor Pajor Dora Drexler 
supported by the Hungarian National Rural Network (Magyar Nemzeti Videki Halozat-MNVH):www.videkihalozat.eu,grant number [VP-20.2.-16-2016-0001].
The development of motion sensors for monitoring cattle behaviour has enabled farmers to predict the state of their cattle's welfare more efficiently.While most studies work with one dimensional output with disjunct b...
关键词：CATTLE PLF Motion sensors RumiWatch Complex behaviour MULTI-DIMENSIONAL Parallel MACHINELEARNING 
Organoid intelligence:Integration of organoid technology and artificial intelligence in the new era of in vitro models被引量：3
《Medicine in Novel Technology and Devices》2024年第1期39-44,共6页Huaiyu Shi Andrew Kowalczewski Danny Vu Xiyuan Liu Asif Salekin Huaxiao Yang Zhen Ma 
NIH[R01HD101130,R15HD108720];NSF[CMMI-2130192,CBET-1943798];Research Seed Grants(2021 and 2023)from UNT Research and Innovation Office(H.X.Y.),Syracuse University intramural CUSE grant[II-3245-2022](Z.M.).
Organoid Intelligence ushers in a new era by seamlessly integrating cutting-edge organoid technology with the power of artificial intelligence.Organoids,three-dimensional miniature organ-like structures cultivated fro...
关键词：ORGANOIDS MACHINELEARNING Deep learning Artificial intelligence Stem cells 
Exploring electron-beam induced modifications of materials with machinelearning assisted high temporal resolution electron microscopy
《npj Computational Materials》2024年第1期469-478,共10页Matthew G.Boebinger Ayana Ghosh Kevin M.Roccapriore Sudhajit Misra Kai Xiao Stephen Jesse Maxim Ziatdinov Sergei V.Kalinin Raymond R.Unocic 
supported by the U.S.Department of Energy,Office of Basic Energy Sciences,Division of Materials Sciences and Engineering;This manuscript has been authored by UT-Battelle,LLC,under Contract No.DE-AC0500OR22725 with the U.S.
Directed atomic fabrication using an aberration-corrected scanning transmission electron microscope(STEM)opens new pathways for atomic engineering of functional materials.In this approach,the electron beam is used to ...
关键词：BEAM DEFECT HIGH 
Modeling urban scale human mobility through big data analysis and machinelearning被引量：1
《Building Simulation》2024年第1期3-21,共19页Yapan Liu Bing Dong 
supported by the U.S.National Science Foundation(Award No.1949372 and No.2125775);in part supported through computational resources provided by Syracuse University.
In the United States,the buildings sector consumes about 76%of electricity use and 40% of all primary energy use and associated greenhouse gas emissions.Occupant behavior has drawn increasing research interests due to...
关键词：urban human mobility big data analysis urban scale occupant behavior recurrent neural networks 
A Review of Machine Learning and Algorithmic Methods for Protein Phosphorylation Site Prediction
《Genomics, Proteomics & Bioinformatics》2023年第6期1266-1285,共20页Farzaneh Esmaili Mahdi Pourmirzaei Shahin Ramazi Seyedehsamaneh Shojaeilangari Elham Yavari 
Post-translational modifications(PTMs)have key roles in extending the functional diversity of proteins and,as a result,regulating diverse cellular processes in prokaryotic and eukaryotic organisms.Phosphorylation modi...
关键词：PHOSPHORYLATION MACHINELEARNING Deep learning Post-translational modification DATABASE 
Universal machine learning potential accelerates atomistic modeling of materials
《Journal of Energy Chemistry》2023年第8期1-2,I0002,共3页Zhongheng Fu Dawei Zhang 
supported by the National Natural Science Foundation of China (22209094)。
With the rapid development of computer techniques,atomistic modeling is playing an increasingly important role in understanding the structure-activity relationship of materials.Molecular dynamics (MD) is a computation...
关键词：MACHINELEARNING Atomisticmodeling Neural networkpotential Solid-statematerials 
Framework for a Computer-Aided Treatment Prediction (CATP) System for Breast Cancer
《Intelligent Automation & Soft Computing》2023年第6期3007-3028,共22页Emad Abd Al Rahman Nur Intan Raihana Ruhaiyem Majed Bouchahma Kamarul Imran Musa 
N.I.R.R.and K.I.M.have received a grant from the Malaysian Ministry of Higher Education.Grant number:203/PKOMP/6712025,http://portal.mygrants.gov.my/main.php.
This study offers a framework for a breast cancer computer-aided treat-ment prediction(CATP)system.The rising death rate among women due to breast cancer is a worldwide health concern that can only be addressed by ear...
关键词：BREASTCANCER MACHINELEARNING featureimportance FEATURESELECTION treatment prediction SEER dataset computer-aided treatment prediction(CATP) clinical decision support system 
A Novel Deep Learning Representation for Industrial Control System Data
《Intelligent Automation & Soft Computing》2023年第6期2703-2717,共15页Bowen Zhang Yanbo Shi Jianming Zhao Tianyu Wang Kaidi Wang 
This study is supported by The National Key Research and Development Program of China:“Key measurement and control equipment with built-in information security functions”(Grant No.2018YFB2004200);Independent Subject of State Key Laboratory of Robotics“Research on security industry network construction technology for 5G communication”(No.2022-Z13).
Feature extraction plays an important role in constructing artificial intel-ligence(AI)models of industrial control systems(ICSs).Three challenges in this field are learning effective representation from high-dimensio...
关键词：Industrialcontrolsystem MACHINELEARNING deeplearning autoencoder 
Landslide susceptibility mapping of mountain roads based on machine learning combined model
《Journal of Mountain Science》2023年第5期1232-1248,共17页DOU Hong-qiang HUANG Si-yi JIAN Wen-bin WANG Hao 
the financial support from the National Natural Science Foundation of China(No.U2005205,No.42007235,No.41972268);the Science and Technology Innovation Platform Project of Fuzhou Science and Technology Bureau(No.2021-P-032)。
Landslide susceptibility mapping of mountain roads is frequently confronted by insufficient historical landslide sample data,multicollinearity of existing evaluation index factors,and inconsistency of evaluation facto...
关键词：Landslide susceptibility mapping Factor analysis MACHINELEARNING Combinedmodel Mountain roads 
全选清除导出
共2页<12>
检索报告 对象比较 聚类工具 使用帮助 返回顶部