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    Studies from Indian Institutes of Technology Kharagpur Reveal New Findings on Ro botics (In-field Performance Evaluation of Robotic Arm Developed for Harvesting Cotton Bolls)

    166-166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 Robotics is now availab le. According to news reporting from Kharagpur,India, by NewsRx journalists, re search stated, “Robotic harvesting of cotton bolls combines the advantagesof ma nual picking and mechanical harvesting, including selective picking and reduced labor dependency.Thus, we designed, developed, and tested a cottonpicking robot ic arm equipped with a depth camera, a4-DoF manipulator, and a vacuum-type end- effector.”

    INRIA Paris Reports Findings in Machine Learning (Machine learning approaches fo r the discovery of clinical pathways from patient data: A systematic review)

    167-167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 Paris, France, by News Rx editors, research stated, “Clinical pathways are sequences ofevents followed during the clinical care of a group of patients who meet pre-defined criteria. They havemany applications ranging from healthcare evaluation and optimization to clinical decision support.”

    Researchers at Shandong Jianzhu University Have Reported New Data on Machine Lea rning (Explainable Machine Learning-based Prediction Model for Dynamic Resilient Modulus of Subgrade Soils)

    168-168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 originatingfrom Jinan, People’s Republic of C hina, by NewsRx correspondents, research stated, “The dynamic resilientmodulus (MR) of a subgrade soil is a fundamental parameter for evaluating the dynamic st ability andservice resilience of subgrade fillers and structures, as well as an instrumental input for calculating themechanical response and fatigue life of a pavement structure. To accurately and reasonably characterisethe MR of subgra de soils, machine learning (ML) models were established using the support vector machine,random forest, and extreme gradient boosting algorithms based on a lar ge-scale dataset including 3533records of MR tests conducted on subgrade soils. ”

    Polytechnic University of Marche Reports Findings in Machine Learning (A new app roach to assess post-mortem interval: A machine learning-assisted label-free ATR -FTIR analysis of human vitreous humor)

    169-169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 Ancona, Italy, by News Rx editors, research stated, “A crucial issue in forensics is determiningthe po st-mortem interval (PMI), the time between death and the finding of a body. Desp itevarious methods already employed for its estimation, only approximate values are currently achievable.”

    Investigators from Dalian University of Technology Target Robotics (A Novel Meth od To Enhance the Accuracy of Parameter Identification In Elasto-geometrical Cal ibration for Industrial Robots)

    170-170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 Robotics. According to news reporting originatingin Dalian, People’s Republic o f China, by NewsRx journalists, research stated, “Elasto-geometricalcalibration is crucial for enhancing the absolute accuracy of robots in machining operation s through theidentification and compensation of parameter errors. However, the presence of inconsistent measurementunits and improper selection of measuring p oses can result in the ill-conditioned identification matrix(ICIM) issue, conse quently impacting the accuracy of parameter identification.”

    Research from School of Electronic and Information Engineering Has Provided New Study Findings on Support Vector Machines (Support Vector Machines Based Mutual Interference Mitigation for Millimeter-Wave Radars)

    171-171页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on is the subject of a ne w report. According to news reporting fromthe School of Electronic and Informat ion Engineering by NewsRx journalists, research stated, “With theintelligent de velopment of vehicles, the number of vehicles equipped with millimeter-wave (mmW ave)radars is increasing, and the possibility of interference between radars is rising dramatically.”

    Studies from Westlake University Provide New Data on Robotics (Gsc: a Graph-base d Skill Composition Framework for Robot Learning)

    171-172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 Ro botics. According to news reporting originatingin Hangzhou, People’s Republic o f China, by NewsRx journalists, research stated, “Humans excel atperforming a w ide range of sophisticated tasks by leveraging skills acquired from prior experi ences. Thischaracteristic is especially essential in robotics empowered by deep reinforcement learning, as learning everyskill from scratch is time-consuming and may not always be feasible.”

    New Findings from Chongqing University in the Area of Artificial Intelligence Re ported (Technology Opportunity Discovery Linking Artificial Intelligence and Con struction Technologies: a Graph Convolution Network-based Approach)

    172-173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 reportingfrom Chongqing, People’s Repu blic of China, by NewsRx journalists, research stated, “The advancementof digit al technology has driven innovation across industries. Artificial intelligence ( AI) as a pivotaldigital technology, has the potential to stimulate innovative o utcomes when converged with constructiontechnologies.”

    Tongji University Reports Findings in Ischemia (Outcome prediction comparison of ischaemic areas’ radiomics in acute anterior circulation non-lacunar infarction )

    173-174页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on Vascular Diseases and Conditions - Ischemia is the subject of a report. According tonews reporting originating i n Shanghai, People’s Republic of China, by NewsRx journalists, research stated,“The outcome prediction of acute anterior circulation non-lacunar infarction (AA CNLI) is important forthe precise clinical treatment of this disease. However, the accuracy of prognosis prediction is still limited.”

    Findings in Machine Learning Reported from Kumoh National Institute of Technolog y (Evaluation of Machine Learning Application on the Prediction of Particulate M atter Concentrations in Small/Medium-Sized City)

    174-175页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators discuss new findings in artificial intelligence. According to news originating fromthe Kumoh National Institute of Technology by NewsRx correspondents, research stated, “In this study,Machine L earning (ML) algorithms were evaluated to predict the concentration of particula te matter(PM10 and PM2.5) using air quality and meteorological data in small/me dium-sized city. ML models,including Multiple Linear Regression (MLR), Decision Tree Regression (DTR), Random Forest (RF), ExtremeGradient Boosting (XGB), Lig ht Gradient Boosting Machine (LGB), were used to predict PM10and PM2.5 concentr ations.”