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    Shanghai Jiao Tong University Reports Findings in Gestational Diabetes (Machine Learning-Based Prediction of Large-for-Gestational Age Infants in Mothers with G estational Diabetes Mellitus)

    10-11页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Nutritional and Metabo lic Diseases and Conditions - GestationalDiabetes is the subject of a report. A ccording to news reporting out of Shanghai, People’s Republic ofChina, by NewsR x editors, research stated, “Large-for-gestational-age (LGA), one of the most co mmoncomplications of gestational diabetes mellitus (GDM), has become a global c oncern. The predictiveperformance of common continuous glucose monitoring (CGM) metrics for LGA is limited.”

    Researchers from Medical College of Wisconsin Report Findings in Machine Learnin g (Machine Learning Risk Stratification for Highrisk Infant Follow-up of Term a nd Late Preterm Infants)

    11-12页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingoriginating in Milwaukee, Wisconsi n, by NewsRx journalists, research stated, “Term and late preterminfants are no t routinely referred to high-risk infant follow-up programs at neonatal intensiv e care unit(NICU) discharge. We aimed to identify NICU factors associated with abnormal developmental screeningand develop a risk-stratification model using m achine learning for high-risk infant follow-up enrollment.”

    Investigators from Southwest Jiaotong University Target Pattern Recognition and Artificial Intelligence (Aemnet: Unsupervised Video Anomaly Detection Method Bas ed On Attention-enhanced Memory Networks)

    12-13页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning - Patte rn Recognition and Artificial Intelligenceare presented in a new report. Accord ing to news reporting from Sichuan, People’s Republic of China,by NewsRx journa lists, research stated, “Video anomaly detection has always been a challenging t askin computer vision due to data imbalance and susceptibility to scene variati ons such as lighting andocclusions. In response to this challenge, this paper p roposes an unsupervised video anomaly detectionmethod based on an attention-enh anced memory network.”

    RCSI University of Medicine and Health Sciences Reports Findings in Foot Ulcers (The impact of machine learning on the prediction of diabetic foot ulcers - A sy stematic review)

    13-14页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Skin Diseases and Cond itions - Foot Ulcers is the subject of areport. According to news reporting ori ginating in Dublin, Ireland, by NewsRx journalists, research stated,“Globally, diabetes mellitus poses a significant health challenge as well as the associated complications ofdiabetes, such as diabetic foot ulcers (DFUs). The early detec tion of DFUs is important in the healingprocess and machine learning may be abl e to help inform clinical staff during the treatment process.”

    Studies Conducted at Nanchang University on Pattern Recognition and Artificial I ntelligence Recently Published (Global Path Planning Algorithm for Unmanned Vehi cles Based on Multi-Objective Particle Swarm Optimization Strategy)

    14-15页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on pattern recognition and artificial intelligence have been published. Accordingto news reporting origina ting from Nanchang, People’s Republic of China, by NewsRx correspondents,resear ch stated, “To overcome the limitations of unmanned vehicle global path planning with the sole objectiveof distance, a multi-objective particle swarm optimizat ion strategy is proposed for indoor unmannedvehicle path planning.”

    Chinese Academy of Sciences Reports Findings in Machine Learning (Predicting the efficiency of arsenic immobilization in soils by biochar using machine learning )

    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 Machine Learning is th e subject of a report. According to newsoriginating from Beijing, People’s Repu blic of China, by NewsRx correspondents, research stated, “Arsenic(As) pollutio n in soils is a pervasive environmental issue. Biochar immobilization offers a p romisingsolution for addressing soil As contamination.”

    West University of Timisoara Researchers Add New Data to Research in Artificial Intelligence (A Novel Approach for Automatic Oral Disease Detection Trough the H elp of Artificial Intelligence)

    16-17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 West Universit y of Timisoara by NewsRx editors, research stated, “This paper aims toprovide a new model that can be used within the field of computer assisted medical imagis tics. The mainfocus will be on artificial intelligence (AI) in concordance with oral diseases and how domain specializedas well as normal oral cavity pictures can further help doctors automatically determine patients prospectsand premedi tate dangerous diseases.”

    Findings from Center for Water Research in the Area of Machine Learning Describe d (Accurate Prediction of Reverse Solute Flux In Forward Osmosis Systems Using C omparative Machine Learning Models)

    17-18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 originatingfrom Tunis, Tunisia, by NewsRx cor respondents, research stated, “Forward osmosis (FO) is a promisingtechnology th at can help to recover freshwater from saline and wastewater streams. However, i t faceschallenges such as reverse solute flux (RSF).”

    University of East London Reports Findings in Artificial Intelligence (Leveragin g artificial intelligence in vaccine development: A narrative review)

    18-18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 to newsreporting originating from Londo n, United Kingdom, by NewsRx correspondents, research stated, “Vaccinedevelopme nt stands as a cornerstone of public health efforts, pivotal in curbing infectio us diseases andreducing global morbidity and mortality. However, traditional va ccine development methods are oftentime-consuming, costly, and inefficient.”

    Research on Machine Learning Detailed by Researchers at IPB University (Modeling Landslide Hazard Using Machine Learning: A Case Study of Bogor, Indonesia)

    19-19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 artificial in telligence have been published. According to newsoriginating from Bogor, Indone sia, by NewsRx correspondents, research stated, “Landslides occur in manyparts of the world.”