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    Guangzhou University Reports Findings in Machine Learning [To xic effects of trace metal(loid) mixtures on aquatic organisms]

    49-49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 originating in Guangzhou, Peo ple’s Republic of China, by NewsRx journalists, research stated,“The co-occurre nce of metal (loid)s in realistic aquatic environments necessitates the evaluati on of theircombined effects. However, the generality of the additive effect hyp othesis is contentious, particularly dueto metal(loid)-metal(loid) interactions .”

    Investigators at Department of Civil Engineering Describe Findings in Machine Le arning (Investigation On Structural Behavior for Steel & Tubes Wit h Light Weight Concrete Using Hln Aid of Mkho)

    49-50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 from Tamil Nadu, Indi a, by NewsRx journalists, research stated, “Composite CST with lightweight concr ete as infill for three light concrete grades such as M20 to M40 with different loadingconditions. The optimal solutions as standard concrete and natural aggre gate, waste material from thequarry are collected and added for replacement of natural sand in construction.”

    Studies from Comillas Pontifical University in the Area of Robotics Described (L earning More With the Same Effort: How Randomization Improves the Robustness of a Robotic Deep Reinforcement Learning Agent)

    50-51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 Robotics have been published. According to news reporting outof Madrid, Spain, by NewsRx edi tors, research stated, “The industrial application of Deep ReinforcementLearnin g (DRL) is frequently slowed down due to an inability to generate the experience required totrain the models. Collecting data often involves considerable time and financial outlays that can make itunaffordable.”

    New Machine Learning Research Reported from Pak-Austria Fachhochschule Institute of Applied Sciences and Technology (Recognition of inscribed cursive Pashtu num eral through optimized deep learning)

    51-52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 artificial in telligence have been published. According to newsreporting originating from Har ipur, Pakistan, by NewsRx correspondents, research stated, “Pashtu is oneof the most widely spoken languages in south-east Asia. Pashtu Numerics recognition po ses challengesdue to its cursive nature.”

    Research from Necmettin Erbakan University Reveals New Findings on Robotics (Cha racterization of different hinge angles for swashplateless micro aerial robots)

    52-53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 are presented i n a new report. According to news reportingfrom Konya, Turkey, by NewsRx journa lists, research stated, “Micro Aerial Robots (MARs) are expectedto increase the ir payload carrying capacity and flight time, and to serve in limited areas. The se demandscan only be met by developing new designs such as the swashplateless mechanism.”

    Findings in Artificial Intelligence Reported from University of Tikrit (Generati ve AI Chatbot for Engineering Scientific Journal)

    53-54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 artificial intelligence is now available. According to news originatingfrom the University of Tikrit b y NewsRx correspondents, research stated, “This study focuses on exploringthe p otential of artificial intelligence as an alternative, effective, and user-prefe rred tool for answeringinquiries, compared to traditional methods such as FAQs or email and ticketing systems. The studyhighlights how AI can enhance efficien cy and accuracy in processing and responding to inquiries fromreaders, authors, and reviewers, by providing immediate and customized answers based on the analy sis ofinformation available on the journal’s website and the data fed to the ch atbot.”

    Investigators from Guangdong Academy of Science Release New Data on Robotics (Le arning Target-directed Skill and Variable Impedance Control From Interactive Dem onstrations for Robotassisted Soft Tissue Puncture Tasks)

    54-55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 Guangzhou, People’s Re public of China, by NewsRx editors, research stated, “A frameworkis proposed in this paper for learning variable impedance in percutaneous puncture surgery, wi th the aim ofsimplifying the robotic puncture of soft tissues. The framework in volves simulating the dynamic changesthat occur when the human arm interacts wi th human tissues and transferring the resulting adaptivecapabilities to the rob ot through learning movement trends and stiffness changes.”

    Data on Nanowires Described by Researchers at National Institute of Technology R ourkela (Predicting Stress-strain Characteristics of Hot Deformed Cu-zr Metallic Glass Alloy Composite Nanowires Using Supervised Machine Learning Algorithms)

    55-56页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Nanotechnol ogy - Nanowires. According to news reportingout of Odisha, India, by NewsRx edi tors, research stated, “In this paper, classical molecular dynamicssimulations of tensile deformation on Cu50Zr50 metallic glass alloy composite nanowires have been carriedout, followed by stress-strain behavior predictions using supervis ed machine learning (ML) algorithms.The composite NWs contain spherical copper nanocrystallites embedded in the Cu50Zr50 metallic glassmatrix.”

    New Machine Learning Findings from University of Tenaga Nas Discussed (Investiga tion of Machine Learning Models In Predicting Compressive Strength for Ultra-hig h-performance Geopolymer Concrete: a Comparative Study)

    56-57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 reportingfrom Selangor, Malaysia, by NewsRx j ournalists, research stated, “Ultra-high-performance geopolymerconcrete (UHPGC) is a new category of traditional UHPC developed to meet the desire for ultra-hi ghstrengthand green building materials. In the current study, random forest (R F), support vector regression(SVR), and extreme gradient boosting (XGB) are use d to forecast the compressive strength (CS) ofUHPGC.”

    Studies from University of Bonn Have Provided New Data on Machine Learning (Site -Independent Mapping of Clay Content in Vineyard Soils via Mobile Proximal Gamma -Ray Spectrometry and Machine Learning Calibrations)

    57-58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 artific ial intelligence. According to news reportingfrom Bonn, Germany, by NewsRx jour nalists, research stated, “Vineyards hold considerable soil variabilitybetween regions and plots, and there is frequently large soil heterogeneity within plots .”