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    Researchers from National Astronomical Observatories Report on Findings in Machi ne Learning (The Star Formation History of Nearby Galaxies: A Machine Learning A pproach)

    110-110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 artificial intelligence is now available. According to news originatingfrom Beijing, People’s Republic of China, by NewsRx editors, the research stated, “Reproducing colormagnitudediagrams (CMDs) of star-resolved galaxies is one of the most precise methods for measuringthe star formation history (SFH) of nearby galaxies back to the earli est time.”

    Researchers from National Astronomical Observatories Report on Findings in Machi ne Learning (The Star Formation History of Nearby Galaxies: A Machine Learning A pproach)

    110-110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 artificial intelligence is now available. According to news originatingfrom Beijing, People’s Republic of China, by NewsRx editors, the research stated, “Reproducing colormagnitudediagrams (CMDs) of star-resolved galaxies is one of the most precise methods for measuringthe star formation history (SFH) of nearby galaxies back to the earli est time.”

    Study Findings on Artificial Intelligence Discussed by a Researcher at Perm Nati onal Research Polytechnic University (The implementation of lean and digital man agement techniques using artificial intelligence in industrial settings)

    111-111页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsoriginating from Perm National Res earch Polytechnic University by NewsRx correspondents, researchstated, “This ar ticle proposes an interdisciplinary approach to analyzing the problems associate d with theintroduction of digital technologies into industry, with special atte ntion to artificial intelligence.”

    Study Findings on Artificial Intelligence Discussed by a Researcher at Perm Nati onal Research Polytechnic University (The implementation of lean and digital man agement techniques using artificial intelligence in industrial settings)

    111-111页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsoriginating from Perm National Res earch Polytechnic University by NewsRx correspondents, researchstated, “This ar ticle proposes an interdisciplinary approach to analyzing the problems associate d with theintroduction of digital technologies into industry, with special atte ntion to artificial intelligence.”

    New Machine Learning Study Findings Recently Were Reported by Researchers at Pol ytechnic University Milan (Machine Learningaided Prediction of Windstorm-induce d Vibration Responses of Long-span Suspension Bridges)

    112-112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 reportingout of Milan, Italy, by NewsRx edi tors, research stated, “Long-span suspension bridges are significantlysusceptib le to windstorm-induced vibrations, leading to critical challenges of field meas urements alongwith multicollinearity and nonlinearity between wind features and bridge dynamic responses. To addressthese issues, this article proposes an inn ovative machine learning-assisted predictive method by integratinga predictor s elector developed from regularized neighborhood components analysis and kernel r egressionmodeling through a regularized support vector machine adjusted by Baye sian hyperparameter optimization.”Funders for this research include European Union (EU), European Space Agency (ES A) under ESA,Politecnico di Milano within the CRUI-CARE Agreement.

    New Machine Learning Study Findings Recently Were Reported by Researchers at Pol ytechnic University Milan (Machine Learningaided Prediction of Windstorm-induce d Vibration Responses of Long-span Suspension Bridges)

    112-112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 reportingout of Milan, Italy, by NewsRx edi tors, research stated, “Long-span suspension bridges are significantlysusceptib le to windstorm-induced vibrations, leading to critical challenges of field meas urements alongwith multicollinearity and nonlinearity between wind features and bridge dynamic responses. To addressthese issues, this article proposes an inn ovative machine learning-assisted predictive method by integratinga predictor s elector developed from regularized neighborhood components analysis and kernel r egressionmodeling through a regularized support vector machine adjusted by Baye sian hyperparameter optimization.”Funders for this research include European Union (EU), European Space Agency (ES A) under ESA,Politecnico di Milano within the CRUI-CARE Agreement.

    Researchers from Indian Institute of Technology (IIT) Indore Describe Findings I n Support Vector Machines (Granular Ball Twin Support Vector Machine)

    113-114页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Support Vector Ma chines are discussed in a new report. Accordingto news reporting from Indore, I ndia, by NewsRx journalists, research stated, “Twin support vector machine(TSVM ) is an emerging machine learning model with versatile applicability in classifi cation and regressionendeavors. Nevertheless, TSVM confronts noteworthy challen ges: 1) the imperative demand for matrixinversions presents formidable obstacle s to its efficiency and applicability on large-scale datasets; 2) theomission o f the structural risk minimization (SRM) principle in its primal formulation hei ghtens thevulnerability to overfitting risks; and 3) the TSVM exhibits a high s usceptibility to noise and outliers andalso demonstrates instability when subje cted to resampling.”

    Researchers from Indian Institute of Technology (IIT) Indore Describe Findings I n Support Vector Machines (Granular Ball Twin Support Vector Machine)

    113-114页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Support Vector Ma chines are discussed in a new report. Accordingto news reporting from Indore, I ndia, by NewsRx journalists, research stated, “Twin support vector machine(TSVM ) is an emerging machine learning model with versatile applicability in classifi cation and regressionendeavors. Nevertheless, TSVM confronts noteworthy challen ges: 1) the imperative demand for matrixinversions presents formidable obstacle s to its efficiency and applicability on large-scale datasets; 2) theomission o f the structural risk minimization (SRM) principle in its primal formulation hei ghtens thevulnerability to overfitting risks; and 3) the TSVM exhibits a high s usceptibility to noise and outliers andalso demonstrates instability when subje cted to resampling.”

    Third Military Medical University - Army Medical University Reports Findings in Lung Cancer (Integrated multi-omics and machine learning reveal a gefitinib resi stance signature for prognosis and treatment response in lung adenocarcinoma)

    114-115页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Lung Cancer is the subject of a report. According to newsoriginating from Chongqing, Peopl e’s Republic of China, by NewsRx correspondents, research stated,“Gefitinib res istance (GR) presents a significant challenge in treating lung adenocarcinoma (L UAD),highlighting the need for alternative therapies. This study explores the g enetic basis of GR to improveprediction, prevention, and treatment strategies.”

    Third Military Medical University - Army Medical University Reports Findings in Lung Cancer (Integrated multi-omics and machine learning reveal a gefitinib resi stance signature for prognosis and treatment response in lung adenocarcinoma)

    114-115页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Lung Cancer is the subject of a report. According to newsoriginating from Chongqing, Peopl e’s Republic of China, by NewsRx correspondents, research stated,“Gefitinib res istance (GR) presents a significant challenge in treating lung adenocarcinoma (L UAD),highlighting the need for alternative therapies. This study explores the g enetic basis of GR to improveprediction, prevention, and treatment strategies.”