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    Research on Machine Learning Detailed by Researchers at Universitas Internasional Batam (MobileNetV3-based Handwritten Chinese Recognition Towards the Effectiveness of Learning Hanzi)

    10-10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 artificial intelligence. According to news reportingfrom the Universitas Internasional Batam by NewsRx journalists, research stated, “Writing Mandarincharacters is considered the most challenging component for beginners due to the rules and characterformations.”

    Study Findings from Xi’an University of Technology Provide New Insights into Robotics (Ec-rfernet: an Edge Computing-oriented Realtime Facial Expression Recognition Network)

    11-11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 Robotics have been published. According to news originatingfrom Xi’an, People’s Republic of China, by NewsRx correspondents, research stated, “Edge computinghas shown significant successes in addressing the security and privacy issues related to facial expressionrecognition (FER) tasks. Although several lightweight networks have been proposed for edge computing,the computing demands and memory access cost (MAC) imposed by these networks hinder their deploymenton edge devices.”

    Study Data from Tongji University Update Understanding of Machine Learning (Prediction of Phosphate Adsorption Amount, Capacity and Kinetics Via Machine Learning: a Generally Physicalbased Process and Proposed Strategy of Using Descriptive …)

    12-13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 Machine Learning have been published. According to newsreporting out of Shanghai, People’s Republic of China, by NewsRx editors, research stated, “The use ofmachine learning to predict phosphate adsorption performance by specific adsorbent holds great promisedue to its ability to save time and reveal underlying mechanisms. However, the small size of the dataset,caused by the insufficient detailed information, limits the ability to fully train the model and obtain accurateand generalizable results.”

    Universite Sorbonne Paris Nord Reports Findings in Experimental Lung Transplants (Novel dimensionality reduction method, Taelcore, enhances lung transplantation risk prediction)

    13-13页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Transplant Medicine - Experimental Lung Transplants is the subject ofa report. According to news reporting originating in Villetaneuse, France, by NewsRx journalists, researchstated, “In this work, we present a new approach to predict the risk of acute cellular rejection (ACR)after lung transplantation by using machine learning algorithms, such as Multilayer Perceptron (MLP)or Autoencoder (AE), and combining them with topological data analysis (TDA) tools. Our proposedmethod, named topological autoencoder with best linear combination for optimal reduction of embeddings(Taelcore), effectively reduces the dimensionality of high-dimensional datasets and yields better resultscompared to other models.”

    Sichuan University Reports Findings in Artificial Intelligence (Aienhanced chemical paradigm: From molecular graphs to accurate prediction and mechanism)

    14-14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 Intelligence is the subject of a report. According to newsoriginating from Chengdu, People’s Republic of China, by NewsRx correspondents, research stated, “Thedevelopment of accurate and interpretable models for predicting reaction constants of organic compoundswith hydroxyl radicals is vital for advancing quantitative structure-activity relationships (QSAR) in pollutantdegradation. Methods like molecular descriptors, molecular fingerprinting, and group contribution methodshave limitations, as traditional machine learning struggles to capture all intramolecular informationsimultaneously.”

    First Affiliated Hospital of Soochow University Reports Findings in Acute Kidney Injury (Automated machine learning for early prediction of acute kidney injury in acute pancreatitis)

    15-16页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Kidney Diseases and Conditions - Acute Kidney Injury is the subjectof a report. According to news reporting originating in Jiangsu, People’s Republic of China, by NewsRxjournalists, research stated, “Acute kidney injury (AKI) represents a frequent and grave complicationassociated with acute pancreatitis (AP), substantially elevating both mortality rates and the financialburden of hospitalization. The aim of our study is to construct a predictive model utilizing automatedmachine learning (AutoML) algorithms for the early prediction of AKI in patients with AP.”

    Research Data from Aalto University Update Understanding of Robotics (Out-of-distribution- and location-aware PointNets forreal-time 3D road user detection without a GPU)

    16-16页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on robotics is the subject of a new report. According to news reportingfrom Aalto University by NewsRx journalists, research stated, “3D road user detection is an essential taskfor autonomous vehicles and mobile robots, and it plays a key role, for instance, in obstacle avoidance androute planning tasks.”

    New Findings Reported from Tehran University of Medical Sciences Describe Advances in Artificial Intelligence (A Bibliometric Analysis of Artificial Intelligence Revolutions in Health-related SDGs)

    16-17页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intelligence have been published. According to newsreporting originating from Tehran, Iran, by NewsRx correspondents, research stated, “In line with the advancement of Artificial Intelligence (AI), innovative solutions have been designed to improve healthrelatedSustainable Development Goals (SDGs).”

    New Intelligent Systems Research Reported from School of Electrical Engineering and Informatics (Biomedical event extraction using pre-trained SciBERT)

    17-18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 intelligent systems. According to news originating fromBandung, Indonesia, by NewsRx correspondents, research stated, “Biomedical event extraction is appliedto biomedical texts to obtain a list of events within the biomedical domain.”

    Data on Artificial Intelligence Reported by Esteban Morales-Mendoza and Colleagues (Prediction of patient admission and readmission in adults from a Colombian cohort with bipolar disorder using artificial intelligence)

    18-19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 Intelligence is the subject of a report. According to newsreporting from Bogota, Colombia, by NewsRx journalists, research stated, “Bipolar disorder (BD) is achronically progressive mental condition, associated with a reduced quality of life and greater disability.Patient admissions are preventable events with a considerable impact on global functioning and socialadjustment.”