期刊,Robotics & Machine Learning Daily News 2024年卷Dec.24期_国家学术搜索

Ludong University Reports Findings in Nanoparticles (Machine Learning Models for Quantitatively Prediction of Toxicity in Macrophages Induced by Metal Oxide Nan oparticles)

51-51页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Nanotechnology - Nanop articles is the subject of a report. Accordingto news reporting originating in Yantai, People’s Republic of China, by NewsRx journalists, research stated,“As nanotechnology advances, metal oxide nanoparticles (MeONPs) increasingly come in to contact withhumans. The inhaled MeONPs cannot be effectively cleared by cili a or lung mucus.”

原文链接:

NETL
NSTL

Ludong University Reports Findings in Nanoparticles (Machine Learning Models for Quantitatively Prediction of Toxicity in Macrophages Induced by Metal Oxide Nan oparticles)

51-51页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Nanotechnology - Nanop articles is the subject of a report. Accordingto news reporting originating in Yantai, People’s Republic of China, by NewsRx journalists, research stated,“As nanotechnology advances, metal oxide nanoparticles (MeONPs) increasingly come in to contact withhumans. The inhaled MeONPs cannot be effectively cleared by cili a or lung mucus.”

原文链接:

NETL
NSTL

New Membrane Engineering Study Findings Reported from Complutense University Mad rid (Reverse Osmosis Membrane Engineering: Multidirectional Analysis Using Bibli ometric, Machine Learning, Data, and Text Mining Approaches)

52-52页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on membrane engineering are presented in a new report. According to newsreporting out of Madrid, Spain, by NewsRx editors, research stated, “Membrane engineering is a complexfield invol ving the development of the most suitable membrane process for specific purposes and dealingwith the design and operation of membrane technologies.”

原文链接:

NETL
NSTL

New Membrane Engineering Study Findings Reported from Complutense University Mad rid (Reverse Osmosis Membrane Engineering: Multidirectional Analysis Using Bibli ometric, Machine Learning, Data, and Text Mining Approaches)

52-52页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on membrane engineering are presented in a new report. According to newsreporting out of Madrid, Spain, by NewsRx editors, research stated, “Membrane engineering is a complexfield invol ving the development of the most suitable membrane process for specific purposes and dealingwith the design and operation of membrane technologies.”

原文链接:

NETL
NSTL

Xi’an Jiaotong University Health Science Center Reports Findings in Congenital H eart Disease (Development of machine learning-based models to predict congenital heart disease: A matched case-control study)

53-54页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Congenital Diseases an d Conditions - Congenital Heart Disease is thesubject of a report. According to news reporting originating from Shaanxi, People’s Republic of China, byNewsRx correspondents, research stated, “The current congenital heart disease (CHD) pre diction tools lackadequate interpretability and convenience, hindering the deve lopment of personalized CHD managementstrategies. We developed a machine learni ng-based risk stratification model for CHD prediction.”

原文链接:

NETL
NSTL

Xi’an Jiaotong University Health Science Center Reports Findings in Congenital H eart Disease (Development of machine learning-based models to predict congenital heart disease: A matched case-control study)

53-54页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Congenital Diseases an d Conditions - Congenital Heart Disease is thesubject of a report. According to news reporting originating from Shaanxi, People’s Republic of China, byNewsRx correspondents, research stated, “The current congenital heart disease (CHD) pre diction tools lackadequate interpretability and convenience, hindering the deve lopment of personalized CHD managementstrategies. We developed a machine learni ng-based risk stratification model for CHD prediction.”

原文链接:

NETL
NSTL

Studies from Shandong Technology and Business University Further Understanding o f Intelligent Systems (Face super-resolution via iterative collaboration between multi-attention mechanism and landmark estimation)

54-54页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on intelligent systems is now available. According to news originatingfrom Shandong Technology and Busine ss University by NewsRx editors, the research stated, “Face superresolutiontec hnology can significantly enhance the resolution and quality of face images, whi ch is crucialfor applications such as surveillance, forensics, and face recogni tion.”

原文链接:

NETL
NSTL

Studies from Shandong Technology and Business University Further Understanding o f Intelligent Systems (Face super-resolution via iterative collaboration between multi-attention mechanism and landmark estimation)

54-54页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on intelligent systems is now available. According to news originatingfrom Shandong Technology and Busine ss University by NewsRx editors, the research stated, “Face superresolutiontec hnology can significantly enhance the resolution and quality of face images, whi ch is crucialfor applications such as surveillance, forensics, and face recogni tion.”

原文链接:

NETL
NSTL

Research Conducted at Carnegie Mellon University Has Updated Our Knowledge about Machine Learning (Likelihood-free Frequentist Inference: Bridging Classical Sta tistics and Machine Learning for Reliable Simulator-based Inference)

55-55页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news originatingfrom Pittsburgh, Pennsylvania, b y NewsRx correspondents, research stated, “Many areas of science rely onsimulat ors that implicitly encode intractable likelihood functions of complex systems. Classical statisticalmethods are poorly suited for these so-called likelihood-f ree inference (LFI) settings, especially outsideasymptotic and low-dimensional regimes.”

原文链接:

NETL
NSTL

Research Conducted at Carnegie Mellon University Has Updated Our Knowledge about Machine Learning (Likelihood-free Frequentist Inference: Bridging Classical Sta tistics and Machine Learning for Reliable Simulator-based Inference)

55-55页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news originatingfrom Pittsburgh, Pennsylvania, b y NewsRx correspondents, research stated, “Many areas of science rely onsimulat ors that implicitly encode intractable likelihood functions of complex systems. Classical statisticalmethods are poorly suited for these so-called likelihood-f ree inference (LFI) settings, especially outsideasymptotic and low-dimensional regimes.”

原文链接:

NETL
NSTL