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    Studies from University of Barcelona Reveal New Findings on Robotics (Just Reall ocated? Robots Displacement, and Job Quality)

    29-30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 Barcelona, Spain, by NewsRx j ournalists, research stated, “Concerns over widespread technologicalunemploymen t are often dismissed with the argument that human labour is not destroyed by au tomationbut rather reallocated to other tasks, occupations or sectors. When foc using on pure employment levels,the idea that workers are not permanently exclu ded but ‘just’ reallocated might be reassuring.”

    Sun Yat-Sen University Reports Findings in Machine Learning (The association bet ween PM2.5 components and blood pressure changes in late pregnancy: A combined a nalysis of traditional and machine learning models)

    30-31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 Guangzhou, People’s Repu blic of China, by NewsRx journalists, research stated, “PM is aharmful mixture of various chemical components that pose a challenge in determining their indivi dual andcombined health effects due to multicollinearity issues with traditiona l linear regression models. This studyaimed to develop an analytical methodolog y combining traditional and novel machine learning models toevaluate PM’s combi ned effects on blood pressure (BP) and identify the most toxic components.”

    New Findings from University of Science and Technology Beijing Update Understand ing of Machine Learning (Machine Learningbased Research On Tensile Strength of Sic-reinforced Magnesium Matrix Composites Via Stir Casting)

    31-32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, “SiC is themost common reinf orcement in magnesium matrix composites, and the tensile strength of SiC-reinfor cedmagnesium matrix composites is closely related to the distribution of SiC. A chieving a uniform distributionof SiC requires fine control over the parameters of SiC and the processing and preparation process.”

    University of the Witwatersrand Reports Findings in Artificial Intelligence (Dev elopment of an artificial intelligence based occupational noise induced hearing loss early warning system for mine workers)

    32-33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 report. According to newsreporting out of Johannesburg, S outh Africa, by NewsRx editors, research stated, “Occupational NoiseInduced Hea ring Loss (ONIHL) is one of the most prevalent conditions among mine workers glo bally.This reality is due to mine workers being exposed to noise produced by he avy machinery, rock drilling,blasting, and so on.”

    Harbin Institute of Technology Reports Findings in Machine Learning (Enhancing b iomass conversion to bioenergy with machine learning: Gains and problems)

    33-34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 newsoriginating from Harbin, People’s Repub lic of China, by NewsRx correspondents, research stated, “Thegrowing concerns a bout environmental sustainability and energy security, such as exhaustion of tra ditionalfossil fuels and global carbon footprint growth have led to an increasi ng interest in alternative energysources, especially bioenergy. Recently, numer ous scenarios have been proposed regarding the use ofbioenergy from different s ources in the future energy systems.”

    Data on Machine Learning Detailed by a Researcher at Geological Survey of Norway (NGU) (Leveraging Domain Expertise in Machine Learning for Critical Metal Prosp ecting in the Oslo Rift: A Case Study for Fe-Ti-P-Rare Earth Element Mineralizat ion)

    34-35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 reporting originating from Tro ndheim, Norway, by NewsRx correspondents, research stated, “Globaldemand for cr itical raw materials, including phosphorus (P) and rare earth elements (REEs), i s on therise.” Funders for this research include Geological Survey of Norway.

    University of Florence Researchers Publish Findings in Machine Learning (Using i nternal standards in time-resolved X-ray microcomputed tomography to quantify g rain-scale developments in solid-state mineral reactions)

    35-36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 originatingfrom Florence, Italy, by Ne wsRx editors, the research stated, “X-ray computed tomography has establishedit self as a crucial tool in the analysis of rock materials, providing the ability to visualise intricate 3D microstructuresand capture quantitative information a bout internal phenomena such as structural damage,mineral reactions, and fluid- rock interactions. The efficacy of this tool, however, depends significantlyon the precision of image segmentation, a process that has seen varied results acro ss different methodologies,ranging from simple histogram thresholding to more c omplex machine learning and deep-learningstrategies.”

    Studies from Liaocheng University Yield New Data on Robotics (GAO-RRT*: A path p lanning algorithm for mobile robot with low path cost and fast convergence)

    36-37页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New study results on robotics have been published . According to news reporting from LiaochengUniversity by NewsRx journalists, r esearch stated, “Path planning is an essential research topic in thenavigation of mobile robots. Currently, rapidly-exploring random tree star (RRT*) and its v ariants areknown for their probabilistic completeness and asymptotic optimality , making them effective in findingsolutions for many path planning problems.”

    Findings on Computational Intelligence Detailed by Investigators at Polytechnic University of Madrid (Wlr-net: an Improved Yolov7 With Edge Constraints and Att ention Mechanism for Water Leakage Recognition In the Tunnel)

    37-38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 - Computational Intelligence.According to news reporting origi nating from Madrid, Spain, by NewsRx correspondents, research stated,“Water lea kage recognition plays a significant role in ensuring the safety of shield tunne l lining. However,current models cannot meet the engineering requirements becau se the tunnel environment is complex.”

    Findings from Harbin Institute of Technology in Computational Intelligence Repor ted (Data Efficient Deep Reinforcement Learning With Action-ranked Temporal Diff erence Learning)

    38-39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 - Computational Intelligence have beenpublished. According to news reportin g originating from Shenzhen, People’s Republic of China, by NewsRxcorrespondent s, research stated, “In value-based deep reinforcement learning (RL), value func tion approximationerrors lead to suboptimal policies. Temporal difference (TD) learning is one of the most importantmethodologies to approximate state-action (Q) value function.”