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    Data on Machine Learning Reported by Timoteo Colnaghi and Colleagues (Machine Le arning-Enabled Tomographic Imaging of Chemical Short-Range Atomic Ordering)

    49-50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 Garching, Germany, by NewsRx editors, research stated, “In solids, chemical short-rangeorder (CSRO) r efers to the self-organization of atoms of certain species occupying specific cr ystal sites.CSRO is increasingly being envisaged as a lever to tailor the mecha nical and functional properties ofmaterials.”

    University of Bordeaux Reports Findings in Artificial Intelligence (Artificial I ntelligence-driven volumetric CT outcome score in cystic fibrosis: longitudinal and multicenter validation with/without modulators treatment)

    50-51页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According tonews reporting out of Pessac, France, by NewsRx editors, research stated, “Holistic segmentation of CTstructural alt erations with 3D deep learning has recently been described in cystic fibrosis (C F), allowing themeasurement of normalized volumes of airway abnormalities (NOVA A-CT) as an automated quantitativeoutcome. Clinical validations are needed, inc luding longitudinal and multicenter evaluations.”

    Researchers at Thuyloi University Report New Data on Machine Learning (Hybrid Ma chine Learning With Hho Method for Estimating Ultimate Shear Strength of Both Re ctangular and Circular Rc Columns)

    51-52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 newsoriginating from Hanoi, Vietnam, by New sRx correspondents, research stated, “This paper presents sixnovel hybrid machi ne learning (ML) models that combine support vector machines (SVM), Decision Tre e(DT), Random Forest (RF), Gradient Boosting (GB), extreme gradient boosting (X GB), and categoricalgradient boosting (CGB) with the Harris Hawks Optimization (HHO) algorithm. These models, namelyHHO-SVM, HHO-DT, HHORF, HHO-GB, HHO-XGB, a nd HHO-CGB, are designed to predict the ultimatestrength of both rectangular an d circular reinforced concrete (RC) columns.”

    Research on Machine Learning Discussed by Researchers at Taiyuan University of T echnology (DEM-ML investigation of bauxite pillar strength prediction method)

    52-53页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on artificial intelligence is the su bject of a new report. According to news originatingfrom Taiyuan, People’s Repu blic of China, by NewsRx editors, the research stated, “The ultimate loadingcap acity of the pillar is closely related to the bauxite pillar size parameters, an d scientific prediction ofpillar strength is the key to safe and efficient mini ng by the airfield method.”

    New Artificial Intelligence Data Has Been Reported by a Researcher at University of Las Palmas de Gran Canaria (Analysis of Despeckling Filters Using Ratio Imag es and Divergence Measurement)

    53-54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 to newsreporting originating from Las Palmas de Gran Canaria, Spain, by NewsRx correspondents, research stated,“This paper presents an analysis of different despeckling filters applied on both syn thetically corruptedoptical images and actual Synthetic Aperture Radar (SAR) im ages.”Funders for this research include Politecnico Colombiano Jaime Isaza Cadavid.

    University Hospital Wurzburg Reports Findings in Anxiety Disorders (Common and d ifferential variables of anxiety and depression in adolescence: a nation-wide sm artphone-based survey)

    54-55页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Mental Health Diseases and Conditions - Anxiety Disorders is thesubject of a report. According to new s reporting originating from Wurzburg, Germany, by NewsRxcorrespondents, resear ch stated, “Mental health in adolescence is critical in its own right and a pred ictorof later symptoms of anxiety and depression. To address these mental healt h challenges, it is crucial tounderstand the variables linked to anxiety and de pression in adolescence.”

    Third Affiliated Hospital of Guangxi Medical University Reports Findings in Knee Osteoarthritis (Machine learning analysis of serum cholesterol’s impact on knee osteoarthritis progression)

    55-56页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Musculoskeletal Diseases and Cond itions - Knee Osteoarthritis is the subject ofa report. According to news repor ting originating from Guangxi, People’s Republic of China, by NewsRxcorresponde nts, research stated, “The controversy surrounding whether serum total cholester ol is a riskfactor for the graded progression of knee osteoarthritis (KOA) has prompted this study to develop anauthentic prediction model using a machine lea rning (ML) algorithm. The objective was to investigatewhether serum total chole sterol plays a significant role in the progression of KOA.”

    Studies from Indian Institute of Remote Sensing in the Area of Machine Learning Reported (Fuzzy Machine Learning Model for Class-based Flood Damage Assessment F rom Planetscope Temporal Data)

    56-57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 tonews reporting originating from Utta rakhand, India, by NewsRx correspondents, research stated, “Naturaldisasters ar e calamitous events with causes and effects that need to be examined. Among them , floodsare one of the most devastating natural disasters that demand constant monitoring.”

    Studies from Northwestern Polytechnic University Add New Findings in the Area of Robotics (Optimal Enhanced Backstepping Method for Trajectory Tracking Control of the Wheeled Mobile Robot)

    57-58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 Robotics have been published. According to news reportingout of Xi’an, People’s Republic of China, by NewsRx editors, research stated, “This paper proposes a novelcontrol method applied to the trajectory tracking of the wheeled mobile robot. This meth od can solvethe tracking difficulty caused by the non-holonomic constraint and the under-actuated properties.”

    Investigators at Northeastern University Describe Findings in Robotics (Transpar ent Object Depth Perception Network for Robotic Manipulation Based On Orientatio n-aware Guidance and Texture Enhancement)

    58-59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 Robotics have been published. According to news reportingoriginating from Shenyang, People’s Republic of China, by NewsRx correspondents, research stated, “Industrialrobot s frequently encounter transparent objects in their work environments. Unlike co nventionalobjects, transparent objects often lack distinct texture features in RGB images and result in incompleteand inaccurate depth images.”