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    Study Results from Ministry of Education Provide New Insights intoMachine Learn ing (Shear Deformation of Dlc Based On Molecular Dynamics Simulation and Machine Learning)

    75-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Machine Learn ing. According to news originating fromChangsha, People’s Republic of China, by NewsRx correspondents, research stated, “Shear deformationmechanisms of diamon d-like carbon (DLC) are commonly unclear since its thickness of several micrometers limits the detailed analysis of its microstructural evolution and mechanical performance, which furtherinfluences the improvement of the friction and wear performance of DLC. This study aims to investigatethis issue utilizing molecula r dynamics simulation and machine learning (ML) techniques.”

    New Data from China Agricultural University Illuminate Findings inMachine Learn ing (Near-infrared Spectroscopy-based Chilled Fresh Lamb Quality Detection Using Machine Learning Algorithms)

    76-76页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on Machine Learning have been prese nted. According to news reporting originatingfrom Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Traditionallymethods for as sessing mutton quality rely on physical and chemical examination analyses that n ecessitateprecise experimental environment conditions and specialized knowledge , often resulting in the compromiseof the sample’s structural integrity. To add ress these challenges, this study explores the application ofnear-infrared spec troscopy (NIR) as a non-destructive alternative for mutton quality evaluation, l everagingits operational simplicity, rapid analysis capabilities, and minimal r equirement for technical expertise.”Financial support for this research came from Earmarked Fund for CARS-38.

    Findings in the Area of Machine Learning Reported from Schoolof Resources & Safety Engineering (Tree-based Machine LearningModels for Enhanced Large-scale Soil Mn Classification By Integrating Visible-near Infrared Spectroscopy)

    77-78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 Machine Learn ing have been published. According to newsreporting originating from Changsha, People’s Republic of China, by NewsRx correspondents, researchstated, “PurposeG iven the growing concern over soil heavy metal contamination, there is an increa singneed for affordable and precise soil heavy metal information. In particular , efficient and cost-effectivemethods for detecting soil manganese (Mn), a heav y metal element that is also essential for life processes,hold significant impo rtance.”

    Study Data from University of Hawaii Manoa Provide New Insightsinto Machine Lea rning (Estimating Equilibrium Scour Depth Around Non-circular Bridge Piers Using Interpretable Hybrid Machine Learning Models)

    78-78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 Machine Learn ing have been published. According to newsreporting out of Honolulu, Hawaii, by NewsRx editors, research stated, “Scouring at bridge piers is a crucialissue t hat risks bridge collapses, causing economic losses and endangering public safet y. Classic modelsstruggle to accurately estimate equilibrium scour depth (d(se) ) due to the complex scouring mechanism.”Funders for this research include Hawaii Department of Transportation (HDOT), Fe deral HighwayAdministration (FHWA).

    University of Warwick Reports Findings in Artificial Intelligence(Ethical impli cations of artificial intelligence in skin cancer diagnostics: use-case analyses )

    79-80页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsoriginating from Coventry, Unite d Kingdom, by NewsRx correspondents, research stated, “Skin canceris the most c ommon cancer worldwide. Early diagnosis is crucial for improving patient surviva l andmorbidity.”

    New Machine Learning Study Results from Sonatrach Described (Modeling Wax Disapp earance Temperature Using Robust Whitebox Machine Learning)

    80-81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 Boumerdes, Algeria, by News Rx correspondents, research stated, “Wax deposition is one of the majoroperatio nal problems encountered in the upstream petroleum production system. The deposi tion of thisundesirable scale can cause a variety of challenging problems.”

    CEMIC University Hospital Reports Findings in Robotics (Roboticcolorectal surge ry in Latin America: a systematic review on surgical outcomes)

    81-82页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reporting outof Buenos Aires, Argentina, by Ne wsRx editors, research stated, “Robotic approach in colorectal surgery israpidl y gaining interest, particularly in the context of rectal cancer resection. Desp ite economic barriers,substantial proliferation of robotic colorectal procedure s has been observed throughout Latin America.”

    Institute of Systems and Physical Biology Reports Findings in Artificial Intelli gence (Predicting RNA structures and functions by artificial intelligence)

    82-82页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsreporting out of Guangdong, Peop le’s Republic of China, by NewsRx editors, research stated, “RNAfunctions by in teracting with its intended targets structurally. However, due to the dynamic na ture ofRNA molecules, RNA structures are difficult to determine experimentally or predict computationally.”

    Faculty of Agricultural Sciences and Technology Reports Findingsin Artificial I ntelligence [Phosphate-solubilizing fungus (PSF) - mediated p hosphorous solubilization and validation through Artificial intelligence computa tion]

    83-83页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According tonews reporting originating from Sivas , Turkey, by NewsRx correspondents, research stated, “Phosphatesolubilizingfun gus (PSF) strain alaromyces funiculosus was investigated for phosphorus solubili zation,utilizing a range of pH levels and phosphate sources, followed by data c onfirmation through artificialintelligence modeling. T. funiculosus strain was exposed to five different phosphate sources [Ca(PO),FePO, Ca HPO, AlPO, and phytin] at different pH levels (4.5, 5.5, 6.5, 7.0, and 7.5). ANOVA, Paretocharts, and normal plots were used for analyzing t he data.”

    Findings from Banaras Hindu University Provide New Insights intoMachine Learnin g (Quantification and Mapping of Medicinally Important Quercitrin Compound Using Hyperspectral Imaging and Machine Learning)

    84-85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 out of Varanasi, India, by Ne wsRx editors, research stated, “Precise spatial mapping of individualspecies us ing hyperspectral data is crucial for effective forest management and policy-mak ing. Thisstudy focuses on Rhododendron arboreum, known for its medicinal proper ties attributed to the flavonoidQuercitrin.”