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    New Findings on Machine Learning Described by Investigators at Liaoning Universi ty of Technology (Compressive Strength Prediction of Cement Base Under Sulfate A ttack By Machine Learning Approach)

    69-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating in Jinzhou, People’s Rep ublic of China, by NewsRx journalists, research stated, “Cementbasedmaterials in underground structures, bridge foundation, and offshore platforms often face sulfate environments. It has been widely reported that the compressive strength (CS) of these materials postsulfate attack is crucial for structural stability and durability.”

    Study Data from Hallym University Sacred Heart Hospital Update Understanding of Artificial Intelligence (Validation of 2D lateral cephalometric analysis using a rtificial intelligence-processed lowdose cone beam computed tomography)

    71-71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 newsreporting from Anyang, South Korea , by NewsRx journalists, research stated, “Traditional cephalometricradiographs depict a three-dimensional structure in a two-dimensional plane; therefore, err ors may occurduring a quantitative assessment. Cone beam computed tomography, o n the other hand, minimizes imagedistortion, allowing essential areas to be obs erved without overlap.”

    New Findings on Machine Learning from Jamia Millia Islamia Summarized (Analyzing Trend and Forecasting of Temperature and Rainfall In Shimla District of Himacha l Pradesh, India Using Nonparametric and Bagging Reptree Machine Learning Appro aches)

    72-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According to newsoriginating from New Delhi, Ind ia, by NewsRx correspondents, research stated, “The changing patternof climate variables has caused extreme weather events and severe disasters, especially in mountainousregions. Such events have a detrimental impact on resources, environ ment and society.”

    Findings from Tsinghua University Reveals New Findings on Machine Learning (Pred iction of Load-deformation Relations for Cfdst Columns Through Machine Learning Methods)

    73-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingfrom Beijing, People’s Republic of C hina, by NewsRx journalists, research stated, “This study exploresthe load-defo rmation relations of concrete-filled double-skin steel tubular (CFDST) columns u nder axialcompression, utilizing the machine learning predictive techniques. A comprehensive database of the circularCFDST columns was assembled from previous literature, including their load-deformation relationship data.”

    Researcher at Karlsruhe Institute of Technology (KIT) Describes Research in Arti ficial Intelligence (Integrating Generative Artificial Intelligence and Problem- Based Learning into the Digitization in Construction Curriculum)

    74-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on artificial in telligence have been published. According tonews reporting out of Karlsruhe, Ge rmany, by NewsRx editors, research stated, “This study proposesincorporating ge nerative artificial intelligence large language models (LLMs) into the Master of Science(M.Sc.) curriculum on digitization in construction.”

    University of Utrecht Reports Findings in Machine Learning (Keeping pace in the age of innovation: The perspective of Dutch pharmaceutical science students on t he position of machine learning training in an undergraduate curriculum)

    75-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Utrecht, Nethe rlands, by NewsRx journalists, research stated, “Over the years,approaches of t he pharmaceutical industry to discover and develop drugs have changed rapidly du e to newscientific trends. Among others, they have started to explore Machine L earning (ML), a subset of ArtificialIntelligence (AI), as a promising tool to g enerate new hypotheses regarding drug candidate selections forclinical trials a nd to predict adverse side effects.”

    Sichuan University Reports Findings in Machine Learning (Exploring the impact of polychlorinated biphenyls on comorbidity and potential mitigation strategies)

    76-76页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Sichuan, People’s Republ ic of China, by NewsRx journalists, research stated, “PolychlorinatedBiphenyls (PCBs) persist in the environment and accumulate in humans. Currently, there is a lack ofunderstanding about the overall impact of PCBs on human health, and ef fective interventions for exposedpopulations are insufficient.”

    University of Naples Federico II Reports Findings in Crohn’s Disease (Advancing perioperative optimization in Crohn’s disease surgery with machine learning pred ictions)

    77-78页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Digestive System Disea ses and Conditions - Crohn’s Disease is the subject of a report. According to ne ws reporting originating in Naples, Italy, by NewsRx journalists,research state d, “This editorial offers commentary on the article which aimed to forecast the likelihoodof short-term major postoperative complications (Clavien-Dindo grade III), including anastomotic fistula,intra-abdominal sepsis, bleeding, and intes tinal obstruction within 30 days, as well as prolonged hospitalstays following ileocecal resection in patients with Crohn’s disease (CD). This prediction relie d on amachine learning (ML) model trained on a cohort that integrated a nomogra m predictive model derivedfrom logistic regression analysis and a random forest (RF) model.”

    Mahatma Gandhi University Reports Findings in Tuberculosis (A comprehensive stud y on tuberculosis prediction models: Integrating machine learning into epidemiol ogical analysis)

    77-77页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Mycobacterium Infectio ns - Tuberculosis is the subject of a report.According to news reporting from K ottayam, India, by NewsRx journalists, research stated, “Tuberculosis(TB), the second leading infectious killer globally, claimed the lives of 1.3 million indi viduals in 2022, afterCOVID-19, surpassing the toll of HIV and AIDS. With an es timated 10.6 million new TB cases worldwidein 2022, the gravity of the disease persists, necessitating urgent attention.”

    Findings from University of Aveiro in the Area of Machine Learning Described (A Machine Learning Approach To Forecast 5g Metrics In a Commercial and Operational 5g Platform: 5g and Mobility)

    78-79页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating in Aveiro, Portugal, by NewsRx journalists, research stated, “The demand for more secure,available, rel iable, and fast networks emerges in amore interconnected society. In this contex t, 5Gnetworks aim to transform how we communicate and interact.”