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    Studies from University of Naples Federico Ⅱ Provide New Data on Robotics (A Sy stem and Learning Perspective On Human-robot Collaboration)

    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 Ro botics. According to news reporting originatingin Naples, Italy, by NewsRx jour nalists, research stated, “PurposeThe process of introducing a new robotictechn ology into a service system is complex, and its impacts on work practices can be challenging. Byadopting a system perspective, this study investigates how huma n-robot collaboration (HRC) transformswork practices (i.e. customer care).Desig n/methodology/approachWe conducted a two-year longitudinalanalysis of an intern ational company specializing in natural health products, examining changes in customer care practices following the introduction of chatbots.”

    Studies from University of Naples Federico Ⅱ Provide New Data on Robotics (A Sy stem and Learning Perspective On Human-robot Collaboration)

    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 Ro botics. According to news reporting originatingin Naples, Italy, by NewsRx jour nalists, research stated, “PurposeThe process of introducing a new robotictechn ology into a service system is complex, and its impacts on work practices can be challenging. Byadopting a system perspective, this study investigates how huma n-robot collaboration (HRC) transformswork practices (i.e. customer care).Desig n/methodology/approachWe conducted a two-year longitudinalanalysis of an intern ational company specializing in natural health products, examining changes in customer care practices following the introduction of chatbots.”

    Reports on Machine Learning Findings from National University of Singapore Provi de New Insights (Machine Learning-aided Sparse Direction of Arrival Estimation)

    48-49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 reportingout of Singapore, Singapore, by News Rx editors, research stated, “This article introduces a design andmethod to add ress the challenge of decreased accuracy in direction-of-arrival (DOA) estimatio n whenutilizing planar sparse arrays with closely spaced sensors. It proposes a design leveraging Koch fractalgeometry, which effectively reduces mutual coupl ing and enhances the detection of a greater number ofsources compared with the number of sensors in the array.”

    Reports on Machine Learning Findings from National University of Singapore Provi de New Insights (Machine Learning-aided Sparse Direction of Arrival Estimation)

    48-49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 reportingout of Singapore, Singapore, by News Rx editors, research stated, “This article introduces a design andmethod to add ress the challenge of decreased accuracy in direction-of-arrival (DOA) estimatio n whenutilizing planar sparse arrays with closely spaced sensors. It proposes a design leveraging Koch fractalgeometry, which effectively reduces mutual coupl ing and enhances the detection of a greater number ofsources compared with the number of sensors in the array.”

    Research on Robotic Systems Reported by a Researcher at Kwangwoon University (Li DAR Point Inpainting Model Using Smoothness Loss for SLAM in Dynamic Environment s)

    49-50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 robotic systems is now available. According to news originating fromSeoul, South Korea, by NewsRx edit ors, the research stated, “Since performing simultaneous localizationand mappin g in dynamic environments is a challenging problem, conventional approaches have usedpreprocessing to detect and then remove movable objects from images.”

    Research on Robotic Systems Reported by a Researcher at Kwangwoon University (Li DAR Point Inpainting Model Using Smoothness Loss for SLAM in Dynamic Environment s)

    49-50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 robotic systems is now available. According to news originating fromSeoul, South Korea, by NewsRx edit ors, the research stated, “Since performing simultaneous localizationand mappin g in dynamic environments is a challenging problem, conventional approaches have usedpreprocessing to detect and then remove movable objects from images.”

    Data from China University of Mining and Technology Provide New Insights into Ma chine Learning (Evaluation of Parametric Effects of Coal Flotation Based On Boos ting Modeling Method)

    50-51页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Research findings on Machine Learning are discuss ed in a new report. According to news reportingfrom Xuzhou, People’s Republic o f China, by NewsRx journalists, research stated, “Accurate assessmentof the eff ects of parameters on the flotation process is important for understanding the c omplex flotationmechanisms. To address the problem of unsatisfactory prediction of large sample flotation data (641 sets)by traditional machine learning algor ithms, four advanced algorithms (GBDT, CatBoost, LightBGM andXGBoost) are used in this paper to investigate the effects of feed properties and flotation condit ions onthe effectiveness of coal flotation.”

    Data from China University of Mining and Technology Provide New Insights into Ma chine Learning (Evaluation of Parametric Effects of Coal Flotation Based On Boos ting Modeling Method)

    50-51页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Research findings on Machine Learning are discuss ed in a new report. According to news reportingfrom Xuzhou, People’s Republic o f China, by NewsRx journalists, research stated, “Accurate assessmentof the eff ects of parameters on the flotation process is important for understanding the c omplex flotationmechanisms. To address the problem of unsatisfactory prediction of large sample flotation data (641 sets)by traditional machine learning algor ithms, four advanced algorithms (GBDT, CatBoost, LightBGM andXGBoost) are used in this paper to investigate the effects of feed properties and flotation condit ions onthe effectiveness of coal flotation.”

    China Agricultural University Reports Findings in Artificial Intelligence (Artif icial intelligence-driven quantification of antibioticresistant Bacteria in foo d by color-encoded multiplex hydrogel digital LAMP)

    51-52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 tonews reporting originating in Beijing , People’s Republic of China, by NewsRx journalists, research stated,“Antibioti c-resistant bacteria pose considerable risks to global health, particularly thro ugh transmission inthe food chain. Herein, we developed the artificial intellig ence-driven quantification of antibiotic-resistantbacteria in food using a colo r-encoded multiplex hydrogel digital loop-mediated isothermal amplification(LAM P) system.”

    China Agricultural University Reports Findings in Artificial Intelligence (Artif icial intelligence-driven quantification of antibioticresistant Bacteria in foo d by color-encoded multiplex hydrogel digital LAMP)

    51-52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 tonews reporting originating in Beijing , People’s Republic of China, by NewsRx journalists, research stated,“Antibioti c-resistant bacteria pose considerable risks to global health, particularly thro ugh transmission inthe food chain. Herein, we developed the artificial intellig ence-driven quantification of antibiotic-resistantbacteria in food using a colo r-encoded multiplex hydrogel digital loop-mediated isothermal amplification(LAM P) system.”