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    Data on Agricultural Robots Reported by Researchers at Beijing Academy of Agricu ltural and Forestry Sciences (Boosting Costefficiency In Robotics: a Distribute d Computing Approach for Harvesting Robots)

    30-31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 Agriculture - Agricultural Robots have been published. Accordingto news reporting out of Bei jing, People’s Republic of China, by NewsRx editors, research stated,“Multi-arm harvesting robots offer a promising solution to the labor shortage in fruit har vesting, due totheir ability to improve harvesting efficiency. However, multi-a rm harvesters necessitate additional visualsensors to acquire distribution info rmation of fruits within larger working spaces.”

    Data on Agricultural Robots Reported by Researchers at Beijing Academy of Agricu ltural and Forestry Sciences (Boosting Costefficiency In Robotics: a Distribute d Computing Approach for Harvesting Robots)

    30-31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 Agriculture - Agricultural Robots have been published. Accordingto news reporting out of Bei jing, People’s Republic of China, by NewsRx editors, research stated,“Multi-arm harvesting robots offer a promising solution to the labor shortage in fruit har vesting, due totheir ability to improve harvesting efficiency. However, multi-a rm harvesters necessitate additional visualsensors to acquire distribution info rmation of fruits within larger working spaces.”

    Reports Outline Machine Learning Study Findings from Department of Mechanical En gineering (Utilizing Machine Learning To Forecast Mechanical Characteristics of Naoh-treated Jute Fiber Reinforced Composite Materials)

    31-32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 Nasik, India, by NewsRx corr espondents, research stated, “The prediction of mechanical propertiesin composi te materials is crucial for optimizing their performance in various engineering applications.This study focuses on NaOH treated jute fiber reinforced glass epo xy composites, aiming to predict keymechanical characteristics like flexural st rength, tensile strength, and the hardness.”

    Reports Outline Machine Learning Study Findings from Department of Mechanical En gineering (Utilizing Machine Learning To Forecast Mechanical Characteristics of Naoh-treated Jute Fiber Reinforced Composite Materials)

    31-32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 Nasik, India, by NewsRx corr espondents, research stated, “The prediction of mechanical propertiesin composi te materials is crucial for optimizing their performance in various engineering applications.This study focuses on NaOH treated jute fiber reinforced glass epo xy composites, aiming to predict keymechanical characteristics like flexural st rength, tensile strength, and the hardness.”

    Bengbu Medical University Reports Findings in Chronic Disease (Using machine lea rning to predict the probability of incident 2-year depression in older adults w ith chronic diseases: a retrospective cohort study)

    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 Disease Attributes - C hronic Disease is the subject of a report.According to news reporting out of Be ngbu, People’s Republic of China, by NewsRx editors, researchstated, “Older adu lts with chronic diseases are at higher risk of depressive symptoms than those w ithout.For the onset of depressive symptoms, the prediction ability of changes in common risk factors over a2-year follow-up period is unclear in the Chinese older population.”

    Bengbu Medical University Reports Findings in Chronic Disease (Using machine lea rning to predict the probability of incident 2-year depression in older adults w ith chronic diseases: a retrospective cohort study)

    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 Disease Attributes - C hronic Disease is the subject of a report.According to news reporting out of Be ngbu, People’s Republic of China, by NewsRx editors, researchstated, “Older adu lts with chronic diseases are at higher risk of depressive symptoms than those w ithout.For the onset of depressive symptoms, the prediction ability of changes in common risk factors over a2-year follow-up period is unclear in the Chinese older population.”

    New Machine Learning Findings from Faculty of Geodesy and Geomatics Engineering Described (Near Real-Time Flood Monitoring Using Multi-Sensor Optical Imagery an d Machine Learning by GEE: An Automatic Feature-Based Multi-Class Classification ...)

    33-34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 originatingfrom Tehran, Iran, by NewsRx cor respondents, research stated, “Flooding is one of the most severe naturalhazard s, causing widespread environmental, economic, and social disruption. If not man aged properly, itcan lead to human losses, property damage, and the destruction of livelihoods.”

    New Machine Learning Findings from Faculty of Geodesy and Geomatics Engineering Described (Near Real-Time Flood Monitoring Using Multi-Sensor Optical Imagery an d Machine Learning by GEE: An Automatic Feature-Based Multi-Class Classification ...)

    33-34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 originatingfrom Tehran, Iran, by NewsRx cor respondents, research stated, “Flooding is one of the most severe naturalhazard s, causing widespread environmental, economic, and social disruption. If not man aged properly, itcan lead to human losses, property damage, and the destruction of livelihoods.”

    Recent Findings in Artificial Intelligence Described by Researchers from Univers ity of Macerata (Evaluating Public Sector Employee Perceptions Towards Artificia l Intelligence and Generative Artificial Intelligence Integration)

    34-34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 reportingfrom Macerata, Italy, by Ne wsRx journalists, research stated, “This study investigates the emerging fieldo f innovative technology applications for public usage, focusing on employee pers pectives. The researchemploys a questionnaire-based approach, collecting respon ses from 439 participants and examining demographics,technological proficiency, utility perceptions, personal data concerns, attitudes towards artificialintel ligence and generative artificial intelligence, and willingness to endorse techn ology adoption.”

    Recent Findings in Artificial Intelligence Described by Researchers from Univers ity of Macerata (Evaluating Public Sector Employee Perceptions Towards Artificia l Intelligence and Generative Artificial Intelligence Integration)

    34-34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 reportingfrom Macerata, Italy, by Ne wsRx journalists, research stated, “This study investigates the emerging fieldo f innovative technology applications for public usage, focusing on employee pers pectives. The researchemploys a questionnaire-based approach, collecting respon ses from 439 participants and examining demographics,technological proficiency, utility perceptions, personal data concerns, attitudes towards artificialintel ligence and generative artificial intelligence, and willingness to endorse techn ology adoption.”