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    Studies from Shandong Agricultural University Yield New Data on Machine Learning (Estimation of Soil Organic Carbon Density on the Qinghai-Tibet Plateau Using a Machine Learning Model Driven by Multisource Remote Sensing)

    95-96页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews ; A new study on artificial intelligence is now ava ilable. According to news reporting from Tai’an,People’s Republic of China, by NewsRx journalists, research stated, “Soil organic carbon (SOC) plays avital ro le in the global carbon cycle and soil quality assessment. The Qinghai-Tibet Pla teau is one of thelargest plateaus in the world.”Financial supporters for this research include Open Bidding For Selecting The Be st Candidates ofFuzhou City; National Natural Science Foundation of China; Proj ect of Chongqing Science And TechnologyBureau; Sichuan Science And Technology Program.

    New Artificial Intelligence Study Findings Have Been Reported by Investigators a t China West Normal University (G20 Roadmap for Carbon Neutrality: the Role of Paris Agreement, Artificial Intelligence, and Energy Transition In Changing …)

    96-97页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; Researchers detail new data in Artific ial Intelligence. According to news reportingoriginating in Sichuan, People’s R epublic of China, by NewsRx journalists, research stated, “The rapidadvancement of artificial intelligence (AI) in the 21st century is driving profound societa l changes andplaying a crucial role in optimizing energy systems to achieve car bon neutrality. Most G20 nationshave developed national AI strategies and are a dvancing AI applications in energy, manufacturing, andagriculture sectors to me et this goal.”

    Researchers from NASA Goddard Space Flight Center Publish New Studies and Findings in the Area of Machine Learning (Automatic Detection of Large-scale Flux Rope s and Their Geoeffectiveness with a Machine-learning Approach)

    97-98页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; Fresh data on artificial intelligence are presented in a new report. According to newsreporting originating from Gree nbelt, Maryland, by NewsRx correspondents, research stated, “Detectinglarge-sca le flux ropes (FRs) embedded in interplanetary coronal mass ejections (ICMEs) an d assessingtheir geoeffectiveness are essential, since they can drive severe sp ace weather. At 1 au, these FRs havean average duration of 1 day.”Funders for this research include Research Council of Finland; Nasa Postdoctoral Program Fellowship;Heliophysics Guest Investigator Grant; Solar Orbiter And Pa rker Solar Probe Missions.

    Studies from Changchun University of Technology Further Understanding of Intelli gent Systems (Tskpd: Twin Structure Key Point Detection In Point Cloud)

    98-99页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews ; A new study on Machine Learning - Intelligent Sys tems is now available. According to newsreporting from Changchun, People’s Repu blic of China, by NewsRx journalists, research stated, “Thepoint cloud keypoint detection algorithm like USIP that uses downsampling first and then fine-tuning thesampling points cannot effectively detect the defect part of the single vie w defect point cloud, resultingin the inability to output the keypoints of the defect part.

    University of Portsmouth Reports Findings in Machine Learning (Optimizing ICU Ca re: Machine Learning and PCA for Early Prediction of Renal Replacement Therapy R equirement)

    99-99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 Portsmouth, United Kingd om, by NewsRx journalists, research stated, “Forecasting theneed for Renal Repl acement Therapy (RRT) in intensive care units (ICUs) at an early stage can enhan cepatient outcomes and optimize resource allocation. The study aimed to develop a model for early predictionof Renal Replacement Therapy (RRT) requirement wit hin 24 hours of ICU admission, utilizing machinelearning techniques and SHapley Additive exPlanations (SHAP).”

    Recent Findings in Robotics Described by Researchers from Toyohashi University o f Technology (Earthworm-Inspired Robot Design: Reducing the Number of Actuators Through Embedded Motor Between Segments)

    100-100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 robotics have bee n published. According to news originatingfrom Toyohashi, Japan, by NewsRx corr espondents, research stated, “Typically, earthworm-inspired robotsconsist of N segments and N actuators, each segment having one actuator.”Financial supporters for this research include Japan Society For The Promotion o f Science (Jsps)Kakenhi.

    Data from University of Waterloo Advance Knowledge in Machine Learning (Tailorin g Laser Powder Bed Fusion Process Parameters for Standard and Off-Size Ti6Al4V M etal Powders: A Machine Learning Approach Enhanced by Photodiode-Based Melt Pool …)

    101-101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 ar tificial intelligence. According to news reportingout of Waterloo, Canada, by N ewsRx editors, research stated, “An integral part of laser powder bedfusion (LP BF) quality control is identifying optimal process parameters tailored to each a pplication, oftenachieved through time-consuming and costly experiments.”Funders for this research include Feddev Ontario.

    Sungkyunkwan University Researcher Focuses on Machine Learning (Estimation of th e Global Equivalence Ratio of a Swirl Combustor from a Small Number of Absorptio n Spectra Using Machine Learning)

    102-102页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; Researchers detail new data in artific ial intelligence. According to news reportingfrom Suwon, South Korea, by NewsRx journalists, research stated, “A new optical diagnostic method thatpredicts th e global fuel-air equivalence ratio of a swirl combustor using absorption spectr a from only threeoptical paths is proposed here.”Funders for this research include National Research Foundation of Korea.

    Studies from Northwestern University Add New Findings in the Area of Machine Lea rning (Machine Teaching Allows for Rapid Development of Automated Systems for Re tinal Lesion Detection From Small Image Datasets)

    103-103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 reporting outof Chicago, Illinois, by NewsRx editors, research stated, “Machine teaching, a machine learning subfield,may al low for rapid development of artificial intelligence systems able to automatical ly identify emergingocular biomarkers from small imaging datasets. We sought to use machine teaching to automatically identifyretinal ischemic perivascular le sions (RIPLs) and subretinal drusenoid deposits (SDDs), two emergingocular biom arkers of cardiovascular disease.”

    Research from University of New Brunswick Provides New Data on Robotics (Develop ment of an Adaptive Force Control Strategy for Soft Robotic Gripping)

    104-104页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; Researchers detail new data in robotic s. According to news reporting from Fredericton,Canada, by NewsRx journalists, research stated, “Using soft materials in robotic mechanisms has become acommon solution to overcome many challenges associated with the rigid bodies frequentl y used in robotics.Compliant mechanisms allow the robot to adapt to objects and perform a broader range of tasks, unlikerigid bodies that are generally design ed for specific applications.”Financial supporters for this research include Imerit.