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    Data from Anhui University Advance Knowledge in Intelligent Transport Systems (R esearch On Interval Prediction Method of Railway Freight Based On Big Data and T cn-bilstm-qr)

    1-2页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Transportation - I ntelligent Transport Systems. According to news reporting originating from Anhui , People’s Republic of China, by NewsRx correspondents, research stated, “With t he rapid development of logistics, the categories of goods and the frequencies o f train transportation in railway freight have increased significantly. The vola tility and uncertainty of railway freight transportation have become even greate r.”

    Researcher from Qingdao University of Technology Details New Studies and Finding s in the Area of Robotics (Research on the Jet Distance Enhancement Device for B lueberry Harvesting Robots Based on the Dual-Ring Model)

    2-3页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on robotics are disc ussed in a new report. According to news reporting originating from Qingdao, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “In China, m ost blueberry varieties are characterized by tightly clustered fruits, which pos e challenges for achieving precise and non-destructive automated harvesting. Thi s complexity limits the design of robots for this task.”

    Multimedia University Reports Findings in Machine Learning (Fall risk prediction using temporal gait features and machine learning approaches)

    3-3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 th e subject of a report. According to news reporting from Melaka, Malaysia, by New sRx journalists, research stated, “Falls have been acknowledged as a major publi c health issue around the world. Early detection of fall risk is pivotal for pre ventive measures.” The news correspondents obtained a quote from the research from Multimedia Unive rsity, “Traditional clinical assessments, although reliable, are resource-intens ive and may not always be feasible. This study explores the efficacy of artifici al intelligence (AI) in predicting fall risk, leveraging gait analysis through c omputer vision and machine learning techniques. Data was collected using the Tim ed Up and Go (TUG) test and JHFRAT assessment from MMU collaborators and augment ed with a public dataset from Mendeley involving older adults. The study introdu ces a robust approach for extracting and analyzing gait features, such as stride time, step time, cadence, and stance time, to distinguish between fallers and n on-fallers. Two experimental setups were investigated: one considering separate gait features for each foot and another analyzing averaged features for both fee t. Ultimately, the proposed solutions produce promising outcomes, greatly enhanc ing the model’s ability to achieve high levels of accuracy. In particular, the L ightGBM demonstrates a superior accuracy of 96% in the prediction task. The findings demonstrate that simple machine learning models can successfu lly identify individuals at higher fall risk based on gait characteristics, with promising results that could potentially streamline fall risk assessment proces ses. However, several limitations were discovered throughout the experiment, inc luding an insufficient dataset and data variation, limiting the model’s generali zability. These issues are raised for future work consideration.”

    Findings from University of Science and Technology Beijing Provides New Data on Robotics (Conductive Hydrogels-based Self-sensing Soft Robot State Perception an d Trajectory Tracking)

    4-4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 report. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Soft robots face significant challenges in proprioceptive sensing and precise control due to their highly def ormable and compliant nature. This paper addresses these challenges by developin g a conductive hydrogel sensor and integrating it into a soft robot for bending angle measurement and motion control.”

    Recent Findings from University of Prince Edward Island Has Provided New Informa tion about Machine Learning (Near Real-time Significant Wave Height Prediction A long the Coastline of Queensland Using Advanced Hybrid Machine Learning Models)

    5-5页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating in Charlottetown , Canada, by NewsRx journalists, research stated, “The accurate prediction of si gnificant wave height is essential for coastal and offshore engineering, and is especially important for producing renewable ocean wave energy. However, Hs is t raditionally predicted using empirical or numerical models, which lack accuracy, are computationally demanding, or require extensive datasets.”

    Department of Anesthesiology Reports Findings in Cholangiocarcinoma (Using machi ne learning methods to investigate the impact of age on the causes of death in p atients with early intrahepatic cholangiocarcinoma who underwent surgery)

    6-6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 Oncology - Cholangioca rcinoma is the subject of a report. According to news reporting originating from Sichuan, People’s Republic of China, by NewsRx correspondents, research stated, “The impact of age on the causes of death (CODs) in patients with early-stage i ntrahepatic cholangiocarcinoma (ICC) who had undergone surgery was analyzed in t his study. A total of 1555 patients (885 in the older group and 670 in the young er group) were included in this study.”

    Researchers from Walailak University Describe Research in Artificial Intelligenc e (Causal Artificial Intelligence-Driven Approach for HVAC Preventive Maintenanc e Explanation)

    7-7页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting originating from Nakhon Si T hammarat, Thailand, by NewsRx correspondents, research stated, “Preventive maint enance of heating, ventilation, and air conditioning (HVAC) systems aims to moni tor and detect early-stage failures, thereby enhancing thermal comfort satisfact ion and reducing energy consumption. However, it is a complex and uncertain fact or, and technicians must understand the root cause of the problem to interpret p refailure events accurately.”

    Nanjing University of Information Science and Technology (NUIST) Reports Finding s in Machine Learning (Polluted soil-plant interaction analysis and soil classif ication based on laser-induced breakdown spectroscopy and machine learning)

    8-9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 th e subject of a report. According to news reporting originating from Jiangsu, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “A new metho d is introduced for the swift and precise detection of soil pollution and its ef fects on crops. Soil quality is essential for human well-being, with heavy metal pollution presenting considerable risks to both the ecological environment and human health.” Funders for this research include National Natural Science Foundation of China, Nanjing University of Information Science and Technology, National College Stude nts Innovation and Entrepreneurship Training Program, National Key Research and Development Program of China.

    Research from Vel Tech Rangarajan Dr. Sagunthala R&D Institute of S cience and Technology in the Area of Computational Intelligence Described (An In tegrative Computational Intelligence for Robust Anomaly Detection in Social Netw orks)

    9-9页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on computational intellige nce is now available. According to news reporting out of Tamil Nadu, India, by N ewsRx editors, research stated, “Anomaly detection is very important in social n etworks to keep the truth, security and believability of online communities.”

    Findings on Artificial Intelligence Reported by Investigators at Beijing Normal University (The Relationship Between Inert Thinking and Chatgpt Dependence: an I -pace Model Perspective)

    10-10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 from Beijing, People’s Repu blic of China, by NewsRx journalists, research stated, “ChatGPT, as an example o f generative artificial intelligence, possesses high-level conversational and pr oblem-solving capabilities supported by powerful computational models and big da ta. However, the powerful performance of ChatGPT might enhance learner dependenc y.” Financial support for this research came from Fundamental Research Funds for the Central Universities in China.