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    Hunan Agricultural University Reports Findings in Machine Learning (An investiga tion of machine learning methods applied to genomic prediction in yellow-feather ed broilers)

    118-119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 Hunan, People’s Republ ic of China, by NewsRx editors, research stated, “Machine learning(ML) methods have rapidly developed in various theoretical and practical research areas, incl udingpredicting genomic breeding values for large livestock animals. However, f ew studies have investigated theapplication of ML in broiler breeding.”

    Reports Summarize Machine Learning Findings from King Mongkut’s Institute of Tec hnology (Machine Learning Based Prediction and Iso-conversional Assessment of Ox idatively Torrefied Spent Coffee Grounds Pyrolysis)

    119-120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 reportingout of Bangkok, Thailand, by NewsRx editors, research stated, “This research focused on developing apredictive mode l for mass loss during the pyrolysis of oxidatively torrefied spent coffee groun ds (SCG)using machine learning techniques. Four algorithms were employed: artif icial neural networks (ANN), knearestneighbors (k-NN), random forest (RF), and decision tree (DT), with the RF model demonstratingsuperior performance (R-2 > 0.9981, RMSE <1.346) for both training and testing sets.”

    Shandong University Researchers Provide New Study Findings on Robotics (Analysis and Compensation of Kinematic and Hysteresis Errors in Industrial Robots)

    120-121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 originatingfrom Jinan, People’s Republic of Chin a, by NewsRx correspondents, research stated, “Industrial robots areextensively utilized in handling, assembly, and welding tasks owing to their expansive work space, scalability,flexibility, and cost-effectiveness. However, their inadequa te absolute positioning accuracy significantlyimpedes their application in prec ise operational scenarios.”

    Recent Research from Hong Kong University of Science and Technology Highlight Fi ndings in Robotics (Collision-free Trajectory Optimization In Cluttered Environm ents Using Sums-of-squares Programming)

    121-122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 reportingoriginating in Guangzhou, People’s Re public of China, by NewsRx journalists, research stated, “In thiswork, we propo se a trajectory optimization approach for robot navigation in cluttered 3D envir onments.We represent the robot’s geometry as a semialgebraic set defined by pol ynomial inequalities such thatrobots with general shapes can be suitably charac terized.”

    Yantai University Reports Findings in Machine Learning (Unlocking the Nitrogen R eduction Electrocatalyst with a Dual-Metal-Boron System: From High-Throughput Sc reening to Machine Learning)

    122-123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 Shandong, People’s Repub lic of China, by NewsRx journalists, research stated, “Recently,dual-metal cata lysts have attracted much attention due to their abundant active sites and tunab le chemicalproperties. On the other hand, metal borides have been widely applie d in splitting the inert chemical bondsin small molecules (such as N) because o f their excellent catalytic performances.”

    Investigators from University of Turku Report New Data on Machine Learning (Addr essing Imbalanced Data for Machine Learning Based Mineral Prospectivity Mapping)

    123-123页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news reportingfrom Turku, Finland, by NewsRx jour nalists, research stated, “Effective Mineral Prospectivity Mapping(MPM) relies on the ability of Machine Learning (ML) models to extract meaningful patterns fr omgeophysical data. However, in mineral exploration, identifying the presence o f mineral deposits is often arare event compared with the overall geological la ndscape.”

    Researchers at School of Electrical Engineering and Informatics Have Published N ew Study Findings on Machine Learning [Real-Time Indoor Local ization System Based on Wearable Device, Bluetooth Low Energy (BLE) Beacons, and Machine Learning]

    124-124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 new report. According to newsreporting from Bandung, Indo nesia, by NewsRx journalists, research stated, “Indoor localization systemsare critical in various domains, particularly healthcare, where real-time monitoring of elderly and dementiapatients is essential.”

    Federal University Rio de Janeiro Reports Findings in COVID-19 (Academic-related stressors predict depressive symptoms in graduate students: A machine learning study)

    125-125页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Coronavirus - COVID-19 is the subject of a report. According to newsoriginating from Rio de Janeiro, Brazil, by NewsRx correspondents, research stated, “Graduate studentsface highe r depression rates worldwide, which were further exacerbated during the COVID-19 pandemic.This study employed a machine learning approach to predict depressive symptoms using academic-relatedstressors.”

    New Findings from Qingdao University in the Area of Robotics Described (A Method of Dense Point Cloud Slam Based On Improved Yolov8 and Fused With Orb-slam3 To Cope With Dynamic Environments)

    126-127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 originatingfrom Qingdao, People’s Republic of China, by NewsRx correspondents, research stated, “With the developmentof so ciety and the advancement of technology, intelligent robots have been widely use d in variousfields. At the same time, Simultaneous Localization and Mapping (SL AM) technology is a key technologyin the research field of intelligent robots.”

    Technical University Munich (TUM) Reports Findings in Machine Learning (AAclust: k-optimized clustering for selecting redundancyreduced sets of amino acid scal es)

    127-127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 Freising, Germany, by Ne wsRx journalists, research stated, “Amino acid scales are crucialfor sequence-b ased protein prediction tasks, yet no gold standard scale set or simple scale se lectionmethods exist. We developed AAclust, a wrapper for clustering models tha t require a pre-defined numberof clusters , such as -means.”