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    University Cote d’Azur Reports Findings in Machine Learning (Benchmarking featur e selection and feature extraction methods to improve the performances of machin e-learning algorithms for patient classification using metabolomics biomedical d ata)

    69-69页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on Machine Learning is the subject o f a report. According to news reporting fromNice, France, by NewsRx journalists , research stated, “Classification tasks are an open challenge in thefield of b iomedicine. While several machine-learning techniques exist to accomplish this o bjective, severalpeculiarities associated with biomedical data, especially when it comes to omics measurements, preventtheir use or good performance achieveme nts.”

    Royal Surrey County Hospital Reports Findings in Prostatectomy (Outcomes of robo t-assisted radical prostatectomy in men after trans-urethral resection of the pr ostate: a matched-pair analysis)

    70-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Surgery - Prostatectom y is the subject of a report. According tonews reporting from Guildford, United Kingdom, by NewsRx journalists, research stated, “Prior historyof transurethra l resection of the prostate (TURP) can complicate Robot-assisted radical prostat ectomy(RARP). Very few studies analyse the outcomes of RARP in men with a prior history of TURP.”

    New Machine Learning Study Findings Have Been Reported by Investigators at Wuhan University (A Mechanism-guided Machine Learning Method for Mapping Gapless Land Surface Temperature)

    71-72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 reportingoriginating from Wuhan, People’s Re public of China, by NewsRx correspondents, research stated, “Moreaccurate, spat io-temporally, and physically consistent land surface temperature (LST) estimati on has beena main interest in Earth system research. Developing physics-driven mechanism models and data-drivenmachine learning (ML) models are two major para digms for gapless LST estimation, which have theirrespective advantages and dis advantages.”

    Findings from Kunming University of Science and Technology Broaden Understanding of Machine Translation (Towards Understanding Neural Machine Translation with A ttention Heads’ Importance)

    72-73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 translati on are discussed in a new report. Accordingto news reporting from Kunming, Peop le’s Republic of China, by NewsRx journalists, research stated,“Although neural machine translation has made great progress, and the Transformer has advanced t hestate-of-the-art in various language pairs, the decision-making process of th e attention mechanism, acrucial component of the Transformer, remains unclear. In this paper, we propose to understand themodel’s decisions by the attention h eads’ importance.”

    Studies from University of New South Wales Have Provided New Information about R obotics (Swarm Robotics: a Survey From a Multi-tasking Perspective)

    73-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Robotics are disc ussed in a new report. According to newsreporting out of Canberra, Australia, b y NewsRx editors, research stated, “The behaviour of social insectssuch as bees and ants has influenced the development of swarm robots. To enable robots to co operatetogether, swarm robotics employs principles such as communication, coord ination, and collaboration.”

    Kwame Nkrumah University of Science and Technology Researchers Have Provided New Study Findings on Machine Learning (Machine learning forecasting of solar PV pr oduction using single and hybrid models over different time horizons)

    74-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on artificial intell igence are discussed in a new report. According tonews reporting out of Kumasi, Ghana, by NewsRx editors, research stated, “This study uses operationaldata fr om a 180 kWp grid-connected solar PV system to train and compare the performance of single andhybrid machine learning models in predicting solar PV production a day-ahead, a week-ahead, two weeksahead and one month-ahead.”

    Studies from University of Technology Update Current Data on Machine Learning (P rediction of Ionic Liquids Toxicity Using Machine Learning Models for Applicatio n To Gas Hydrate)

    74-75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 reporting originating from Perak, Malaysia, by NewsRx correspondents, research stated, “Ionic liquids (ILs) arehighly favor ed in the oil and gas industry as gas hydrate inhibitors due to their dual funct ionality asthermodynamic inhibitor and kinetic hydrate inhibitor. Though known as the ‘green alternatives,’ concernsabout the effects of ILs in the environmen t are rising such that ILs can stabilize in water systems.”

    New Machine Learning Research from University of Jeddah Discussed (Predicting th e Number of Software Faults using Deep Learning)

    75-76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 artificial intelligence. According to news reportingout of the University of Je ddah by NewsRx editors, research stated, “The software testing phase requiresco nsiderable time, effort, and cost, particularly when there are many faults. Thus , developers focus onthe evolution of Software Fault Prediction (SFP) to predic t faulty units in advance, therefore, improvingsoftware quality significantly.”

    Findings on Robotics and Automation Discussed by Investigators at Chang’an Unive rsity (Fm-fusion: Instance-aware Semantic Mapping Boosted By Vision-language Fou ndation Models)

    76-77页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Robotics - Robotics and Automation are presented in a new report.According to news originating from Xi’ an, People’s Republic of China, by NewsRx correspondents, researchstated, “Sema ntic mapping based on the supervised object detectors is sensitive to image dist ribution.In real-world environments, the object detection and segmentation perf ormance can lead to a major drop,preventing the use of semantic mapping in a wi der domain.”

    Investigators at Norwegian University of Science and Technology (NTNU) Report Fi ndings in Machine Learning (A Reduced-rank Approach To Predicting Multiple Binar y Responses Through Machine Learning)

    77-78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 in Trondh eim, Norway, by NewsRx editors, the research stated, “This paperinvestigates th e problem of simultaneously predicting multiple binary responses by utilizing a shared setof covariates. Our approach incorporates machine learning techniques for binary classification, withoutmaking assumptions about the underlying obser vations.”