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    Findings from Hainan University Provide New Insights into Robotics (Design and e xperiment of coconut picking robot with climbing)

    37-38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 robotics is now availab le. According to news reporting out of Haikou,People’s Republic of China, by Ne wsRx editors, research stated, “Due to the height of coconut trees andthe high risks associated with manual picking, there is a severe shortage of labor in the coconut pickingindustry in Hainan. To address this issue, a coconut picking ro bot was designed and constructed.”

    Kwame Nkrumah University of Science and Technology Researchers Detail Findings i n Machine Learning (A machine learning-driven modeling and optimization approach for enhancing cassava mash production quality in cassava graters)

    38-38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 artificial intelligence. According to news originatingfrom Kumasi, Ghana, by Ne wsRx editors, the research stated, “Machine performance modeling andoptimizatio n have emerged as crucial steps for process enhancement and efficiency. This stu dy exploredmachine learning to model and optimize the cassava grating chamber o f cassava grater for the qualityproduction of gari.”

    University of Queensland Researcher Describes Research in Artificial Intelligenc e (AI in essay-based assessment: Student adoption, usage, and performance)

    39-39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 Qu eensland by NewsRx editors, research stated, “The rise of generative artificialintelligence (AI) has sparked debate in education about whether to ban AI tools for assessments.”

    Researchers at Tohoku University Have Published New Study Findings on Machine Le arning (Predicting at-risk students in the early stage of a blended learning cou rse via machine learning using limited data)

    39-40页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on artificial intelligence are presented in a new report. According to newsreporting out of Miyagi, Japan, by NewsRx editors, research stated, “Academic failure is a persistentchallenge in education. Despite the limited available data, in this study, we focus on id entifying at-riskstudents in a blended learning (BL) course.”

    New Machine Learning Study Results from National Institute for Materials Science (NIMS) Described (Exploring new useful phosphors by combining experiments with machine learning)

    40-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on artificial intelligence are presented in a new report. According to newsreporting from Tsukuba, Japan, by NewsRx journalists, research stated, “New phosphors are consistentlyin deman d for advances in solid-state lighting and displays.”

    Sichuan Agricultural University Reports Findings in Androids (How do older adult s react to social robots’ offspring-like voices)

    41-42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 - Androids is the subject of a report. According to newsoriginating from Dujiangyan, People’ s Republic of China, by NewsRx correspondents, research stated,“Social robots a re being developed as a technological solution to alleviate older adults’ loneli ness dueto separation from their offspring. This study explores how and why off spring-like voices affect olderadults’ acceptance of social robots from an audi tory perspective, which differ from the visual aspects ofhuman-robot interactio ns.”

    Findings from Nanjing University of Aeronautics and Astronautics in Robotics Rep orted (Research On Dual-robot Cooperative Path Planning for Multi-material Addit ive Manufacturing)

    42-43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 Robotics is now availab le. According to news reporting originatingfrom Nanjing, People’s Republic of C hina, by NewsRx correspondents, research stated, “To improve theefficiency of m ulti-material additive manufacturing and enhance the safety of multi-robot coope rativeprinting with uncertain execution delays, a dual-robot cooperative path p lanning method is proposed forlayer-by-layer printing. In the proposed algorith m, the description of the printing region is reconstructedby simply using the r ectangular envelope region and a two-dimensional directed line segment.”

    Report Summarizes Machine Learning Study Findings from Peter the Great St. Peter sburg Polytechnic University (Carbon Capture and Storage Optimization with Machi ne Learning using an ANN model)

    43-43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 Peter the Great St. Pe tersburg Polytechnic University by NewsRx editors, the research stated, “Thepur pose of this study is to evaluate the accuracy of predictions regarding the work capacity of CO2 andthe selectivity of MOF, using machine learning methodologie s in relation to CO2/N2.”

    Tsinghua University Reports Findings in Machine Learning (TPGPred: A Mixed-Featu re-Driven Approach for Identifying Thermophilic Proteins Based on GradientBoosti ng)

    43-44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 news reporting from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “Thermophilicproteins main tain their stability and functionality under extreme high-temperature conditions , makingthem of significant importance in both fundamental biological research and biotechnological applications.In this study, we developed a machine learnin g-based thermophilic protein GradientBoosting predictionmodel, TPGPred, designe d to predict thermophilic proteins by leveraging a large-scale dataset of both thermophilic and non-thermophilic protein sequences.”

    New Machine Learning Findings from Xi’an Shiyou University Described [Rapid Quantitative Analysis of Three Elements (Al, Mg and Fe) In Molten Zinc Bas ed On Laser-induced Breakdown Spectroscopy Combined With Machine Learning Algori thm]

    44-45页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Current study results on Machine Learning have be en published. According to news reporting outof Xi’an, People’s Republic of Chi na, by NewsRx editors, research stated, “Hot-dip galvanizing representsone of t he most cost-effective methods for the prevention of metal corrosion, and is the refore employedextensively across a range of fields. Carrying out the research and development of technology and devices forquantitative analysis of chemical elements in hot-dip galvanising process can provide theoretical basis andtechni cal support for the efficiency of hot-dip galvanising process and reduction of e nergy consumption.”