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    Recent Findings from University of Texas Dallas Has Provided New Information abo ut Machine Learning (A Machine Learning Model for Reconstructing Skin-friction D rag Over Ocean Surface Waves)

    47-48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 Richardson, Texas, by NewsRx correspondents, research stated, “In order to improve the predictiveabilities o f weather and climate models, it is essential to understand the behaviour of win d stress at theocean surface. Wind stress is contingent on small-scale interfac ial dynamics typically not directly resolvedin numerical models.”

    Researchers’ Work from Shenzhen University Focuses on Support Vector Machines (S upport Vector Machine With Discriminative Low-rank Embedding)

    48-49页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on Support Vector Machines are discussed in a new report. According to newsreporting out of Shenzhen, People’s Republic of China, by NewsRx editors, research stated, “Support vectormachine (SVM) is a binary classifier widely used in machine learning. However, neglectin g the latent datastructure in previous SVM can limit the performance of SVM and its extensions.”Financial supporters for this research include Shenzhen Municipal Science and Te chnology InnovationCouncil, National Natural Science Foundation of China (NSFC) .

    Research on Machine Learning Discussed by a Researcher at University of Michigan (Classification of complex local environments in systems of particle shapes thr ough shape symmetry-encoded data augmentation)

    49-50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 tonews originating from Ann Arbor, Mi chigan, by NewsRx correspondents, research stated, “Detecting andanalyzing the local environment is crucial for investigating the dynamical processes of crysta l nucleationand shape colloidal particle self-assembly.”Funders for this research include National Science Foundation.

    China University of Geosciences Reports Findings in Machine Learning (Multi-obje ctive location-routing optimization based on machine learning for green municipa l waste management)

    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 Machine Learning is th e subject of a report. According to newsreporting out of Beijing, People’s Repu blic of China, by NewsRx editors, research stated, “Most of theexisting municip al waste management (MWM) systems focus on the optimization of the waste disposa lcenter locations and waste collection paths, which can be modeled based on the location-routing problem(LRP). This study models a green MWM system by a three -objective location-routing problem to achieveequilibrium among the total cost, carbon emission, and residential satisfaction.”

    Institute of Communication Researchers Publish Findings in Artificial Intelligen ce (The Use of Artificial Intelligence - Enigma for Macedonian Media)

    51-51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 artificial intell igence have been published. According to newsreporting out of the Institute of Communication by NewsRx editors, research stated, “In a reality markedby extrem ely rapid technological progress, the use of artificial intelligence (AI) has pe rmeated numerousfields and professions, including the media industry.”

    Study Data from University of Arizona Update Understanding of Machine Learning ( Spectroscopic Confirmation of Obscured Agn Populations From Unsupervised Machine Learning)

    52-52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 Machine Learn ing have been published. According tonews reporting out of Tucson, Arizona, by NewsRx editors, research stated, “We present the result ofa spectroscopic campa ign targeting active galactic nucleus (AGN) candidates selected using a novelun supervised machine-learning (ML) algorithm trained on optical and mid-infrared p hotometry. AGNcandidates are chosen without incorporating prior AGN selection c riteria and are fainter, redder, and morenumerous, similar to 340 AGN deg(-2), than comparable photometric and spectroscopic samples.”

    New Machine Learning Study Findings Have Been Reported by Investigators at Unive rsity of Murcia (Analysis of the Hyperparameter Optimisation of Four Machine Lea rning Satellite Imagery Classification Methods)

    53-53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 originatingfrom Murcia, Spain, by NewsRx cor respondents, research stated, “The classification of land use and landcover (LU LC) from remotely sensed imagery in semi-arid Mediterranean areas is a challengi ng task due tothe fragmentation of the landscape and the diversity of spatial p atterns. Recently, the use of deep learning(DL) for image analysis has increase d compared to commonly used machine learning (ML) methods.”Financial support for this research came from Agencia Estatal de Investigacin.

    Reports from Beijing Institute of Technology Highlight Recent Research in Roboti cs (Comprehensive Performance Evaluation of Earthquake Search and Rescue Robots Based on Improved FAHP and Radar Chart)

    54-54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 reporting fromBeijing, People’s Republic of Chin a, by NewsRx journalists, research stated, “To effectively enhance theadaptabil ity of earthquake rescue robots in dynamic environments and complex tasks, there is an urgentneed for an evaluation method that quantifies their performance an d facilitates the selection of rescuerobots with optimal overall capabilities.”

    Investigators at Xi’an University of Architecture and Technology Discuss Finding s in Machine Learning (Accelerate the Design of New Superhard Carbon Allotropes In Pca21 Space Group: Highthroughput Screening and Machine Learning Strategies)

    55-55页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting out of Xi’an, People’s Repub lic of China, by NewsRx editors, research stated, “As an efficientcalculation a nd screening method, high -throughput can discover and optimize new materials, s hortenthe development cycle and cost of new materials.”

    National Research Council of Canada Reports Findings in Machine Learning (Integr ating Explainable Machine Learning in Clinical Decision Support Systems: Study I nvolving a Modified Design Thinking Approach)

    56-57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 Winnipeg, Canada, by N ewsRx editors, research stated, “Though there has been considerableeffort to im plement machine learning (ML) methods for health care, clinical implementation h aslagged. Incorporating explainable machine learning (XML) methods through the development of a decisionsupport tool using a design thinking approach is expec ted to lead to greater uptake of such tools.”