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    Sapienza University of Rome Researcher Discusses Research in Artificial Intellig ence (Exploring Facilitators and Barriers to Managers’ Adoption of AI-Based Syst ems in Decision Making: A Systematic Review)

    109-110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 Rome, Italy, b y NewsRx editors, research stated, “Introduction-Decision making (DM) isa funda mental responsibility for managers, with significant implications for organizati onal performanceand strategic direction.”

    New Study Findings from Kyoto University Illuminate Research in Neural Computati on (On the Compressive Power of Autoencoders With Linear and ReLU Activation Fun ctions)

    109-109页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on neural computation ha ve been presented. According to newsoriginating from Kyoto, Japan, by NewsRx ed itors, the research stated, “In this letter, we mainly studythe depth and width of autoencoders consisting of rectified linear unit (ReLU) activation functions .”

    Sapienza University of Rome Researcher Discusses Research in Artificial Intellig ence (Exploring Facilitators and Barriers to Managers’ Adoption of AI-Based Syst ems in Decision Making: A Systematic Review)

    109-110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 Rome, Italy, b y NewsRx editors, research stated, “Introduction-Decision making (DM) isa funda mental responsibility for managers, with significant implications for organizati onal performanceand strategic direction.”

    New Study Findings from Kyoto University Illuminate Research in Neural Computati on (On the Compressive Power of Autoencoders With Linear and ReLU Activation Fun ctions)

    109-109页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on neural computation ha ve been presented. According to newsoriginating from Kyoto, Japan, by NewsRx ed itors, the research stated, “In this letter, we mainly studythe depth and width of autoencoders consisting of rectified linear unit (ReLU) activation functions .”

    Jiangxi Cancer Hospital Reports Findings in Personalized Medicine (Development o f a neoadjuvant chemotherapy efficacy prediction model for nasopharyngeal carcin oma integrating magnetic resonance radiomics and pathomics: a multi-center ...)

    110-111页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of a report.According to news originating from Nanchang, People’s Republic of China, by NewsRx correspondents,research st ated, “This study aimed to develop and validate a predictive model for assessing the efficacyof neoadjuvant chemotherapy (NACT) in nasopharyngeal carcinoma (NP C) by integrating radiomics andpathomics features using a particle swarm optimi zation-supported support vector machine (PSO-SVM). A retrospective multi-center study was conducted, which included 389 NPC patients who received NACTfrom thre e institutions.”

    Jiangxi Cancer Hospital Reports Findings in Personalized Medicine (Development o f a neoadjuvant chemotherapy efficacy prediction model for nasopharyngeal carcin oma integrating magnetic resonance radiomics and pathomics: a multi-center ...)

    110-111页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of a report.According to news originating from Nanchang, People’s Republic of China, by NewsRx correspondents,research st ated, “This study aimed to develop and validate a predictive model for assessing the efficacyof neoadjuvant chemotherapy (NACT) in nasopharyngeal carcinoma (NP C) by integrating radiomics andpathomics features using a particle swarm optimi zation-supported support vector machine (PSO-SVM). A retrospective multi-center study was conducted, which included 389 NPC patients who received NACTfrom thre e institutions.”

    Ministry of Agriculture Reports Findings in Machine Learning (Skin hyperspectral imaging and machine learning to accurately predict the muscular poly-unsaturate d fatty acids contents in fish)

    112-112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, “The polyunsaturatedfatty ac ids (PUFAs), particularly eicosapentaenoic acid (EPA) and docosahexaenoic acid ( DHA),are critical determinants of the nutritional quality of fish. To rapidly a nd non-destructively determine themuscular PUFAs in living fish, an accuracy te chnique is urgently needed.”

    Ministry of Agriculture Reports Findings in Machine Learning (Skin hyperspectral imaging and machine learning to accurately predict the muscular poly-unsaturate d fatty acids contents in fish)

    112-112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, “The polyunsaturatedfatty ac ids (PUFAs), particularly eicosapentaenoic acid (EPA) and docosahexaenoic acid ( DHA),are critical determinants of the nutritional quality of fish. To rapidly a nd non-destructively determine themuscular PUFAs in living fish, an accuracy te chnique is urgently needed.”

    Study Data from Nazarbayev University Update Understanding of Machine Learning ( A Novel Framework for Developing a Machine Learning-based Forecasting Model Usin g Multi-stage Sensitivity Analysis To Predict the Energy Consumption of ...)

    113-114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 reportingoriginating from Astana, Kazakhstan, by NewsRx correspondents, research stated, “Accurate machinelearning (ML) pred ictions for the early stages of the building design are crucial to construct ene rgy-efficientbuildings utilizing limited resources. Several studies have employ ed ML methods for energy consumption(EC) prediction without considering the utm ost crucial PCM-integrated building design parameters.”

    Study Data from Nazarbayev University Update Understanding of Machine Learning ( A Novel Framework for Developing a Machine Learning-based Forecasting Model Usin g Multi-stage Sensitivity Analysis To Predict the Energy Consumption of ...)

    113-114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 reportingoriginating from Astana, Kazakhstan, by NewsRx correspondents, research stated, “Accurate machinelearning (ML) pred ictions for the early stages of the building design are crucial to construct ene rgy-efficientbuildings utilizing limited resources. Several studies have employ ed ML methods for energy consumption(EC) prediction without considering the utm ost crucial PCM-integrated building design parameters.”