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    Researchers at Changzhou University Have Published New Study Findings on Machine Learning (Classification of Depression Using Machine Learning Methods Based on Eye Movement Variance Entropy)

    60-60页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting originating from Jiangsu, People’s Republic of China, by NewsRx correspondents, research stated, “Depression is a common mental illness with widespread effects worldwide. At present, most relevant studies are performed by using free-view experiments to identify depression based on eye movements, which identify depression by analyzing the fixation patterns of subjects.”

    University of Helsinki Reports Findings in Androids (Patient Preferences Concern ing Humanoid Features in Healthcare Robots)

    61-61页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics - Androids is the subject of a report. According to news reporting from Helsinki, Finland, by NewsRx editors, the research stated, “In this paper, I argue that patient prefe rences concerning human physical attributes associated with race, culture, and gender should be excluded from public healthcare robot design. On one hand, healt hcare should be (objective, universal) needs oriented.”

    Reports Outline Machine Learning Findings from Anhui University of Science and Technology (Enhancing Ballistic Transport and C3-c4 Alcohol Dehydration Through Machine Learning-designed Cationic Graphene Oxide Membranes)

    62-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Machine Learning have been prese nted. According to news reporting originating from Huainan, People’s Republic of China, by NewsRx correspondents, research stated, “Machine learning (ML) plays a pivotal role in material design and performance prediction. However, research in ML related to fabricating two-dimensional (2D) graphene oxide (GO) membranes remains limited, facing challenges due to inherent structural variations and the need for precise modifications.”

    Study Findings on Artificial Intelligence Are Outlined in Reports from Indian Institute for Technology (A Dt Framework Integrating Human and Artificial Intelligence for Power Consumption Prediction In Cnc Machining)

    63-64页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Artificial Intelligence have been published. According to news reporting from Rupnagar, India, by NewsRx journalists, research stated, “Digital twins (DT) have increasingly garnered attention in today’s manufacturing industry for their potential to enha nce productivity, efficiency, and decision-making processes. This study presents a human-centric digital twin framework (HCDT) specifically designed for a three -axis vertical milling machine (VMC3), following the ISO 23247 standard.”

    First Affiliated Hospital of China Medical University Reports Findings in Benign Prostatic Hyperplasia (Investigation on clinical risk factors of bladder lesion by machine learning based interpretable model)

    64-64页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Benign Prostatic Hyper plasia is the subject of a report. According to news reporting originating in Sh enyang, People’s Republic of China, by NewsRx journalists, research stated, “Bla dder lesion commonly occurs in patients with benign prostatic hyperplasia (BPH), and the routine screening of bladder lesion is vital for its timely detection And treatment, in which the risk of bladder lesion progression can be effectively alleviated. However, current clinical methods are inconvenient for routine screening.”

    Researcher from Birla Institute of Technology and Science Publishes Findings in Machine Learning (A Review of the Applications of Machine Learning for Predictio n and Analysis of Mechanical Properties and Microstructures in Additive Manufact uring)

    65-65页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial Intelligence have been published. According to news reporting out of the Birla Ins titute of Technology and Science by NewsRx editors, research stated, “This artic le provides an insightful review of the recent applications of machine learning (ML) techniques in additive manufacturing (AM) for the prediction and ameliorati on of mechanical properties, as well as the analysis and prediction of microstru ctures.”

    Research from China University of Mining and Technology Yields New Findings on Robotics (HSP-UNet: An Accuracy and Efficient Segmentation Method for Carbon Traces of Surface Discharge in the Oil-Immersed Transformer)

    66-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on robotics is the subjec t of a new report. According to news reporting from Xuzhou, People’s Republic of China, by NewsRx journalists, research stated, “Restricted by a metalenclosed structure, the internal defects of large transformers are difficult to visually detect. In this paper, a micro-robot is used to visually inspect the interior of a transformer.”

    Studies from Hefei Comprehensive National Science Center Provide New Data on Mac hine Learning (Prediction of the elastic properties of materials based on machin e learning and visualization analysis)

    67-68页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial Intelligence is the subject of a new report. According to news reporting from Hefei, People ’s Republic of China, by NewsRx journalists, research stated, “The elastic modul us is an important performance parameter that measures the ability of materials to resist deformation and is critical for assessing their reliability and stabil ity. Thus, the elastic modulus serves as a guide in engineering design and mater ial selection, and finding materials with specific elastic properties is a hot i ssue in the field of novel materials synthesis.”

    Shanghai Jiao Tong University School of Medicine Reports Findings in Gestational Diabetes (Application of machine learning algorithm incorporating dietary intak e in prediction of gestational diabetes mellitus)

    68-69页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Nutritional and Metabolic Disease s and Conditions - Gestational Diabetes is the subject of a report. According to news reporting out of Shanghai, People’s Republic of China, by NewsRx editors, research stated, “Gestational diabetes mellitus (GDM) significantly affects preg nancy outcomes. Therefore, it is crucial to develop prediction models since they can guide timely interventions to reduce the incidence of GDM and its associate d adverse effects.”

    Data on Machine Learning Reported by Manel Ben Amar and Colleagues (Enhancing diagnostic accuracy in symptom-based health checkers: a comprehensive machine Learning approach with clinical vignettes and benchmarking)

    69-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting originating from Tunis, Tunis ia, by NewsRx correspondents, research stated, “The development of machine Learning models for symptom-based health checkers is a rapidly evolving area with sig nificant implications for healthcare. Accurate and efficient diagnostic tools ca n enhance patient outcomes and optimize healthcare resources.”