首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Hebei University of Chinese Medicine Reports Findings in Artificial Intelligence (Systematic bibliometric and visualized analysis of research hotspots and trends in artificial intelligence in autism spectrum disorder)

    47-48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 out of Shijiazhuang, People’s Republic of China, by NewsRx editors, research stated, “Artificialintelligence (AI) has been the subject of studies in autism spectrum disorder (ASD) and may affect itsidentification, diagnosis, intervention, and other medical practices in the future. Although previous studieshave used bibliometric techniques to analyze and investigate AI, there has been little research on theadoption of AI in ASD.”

    Researchers from Nanyang Technological University Detail New Studies and Findings in the Area of Machine Learning (Enhance Understandings of Online Food Delivery’s Service Quality With Online Reviews)

    48-49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 reportingfrom Singapore, Singapore, by NewsRx journalists, research stated, “This research presents an integrativeapproach, leveraging large-scale user-generated content (online reviews) to decipher consumers’ quality perceptionsin the burgeoning Online Food Delivery (OFD) sector. Utilizing the advanced BERTopic machinelearning algorithm, we first qualitatively identify key service topics (qualities) pertaining to consumers’OFD experience.”

    Maastricht University Medical Center Researcher Focuses on Machine Learning (Explainable Machine Learning Models for Rapid Risk Stratification in the Emergency Department: A Multicenter Study)

    49-50页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligence have been presented. According to news reportingoriginating from Maastricht, Netherlands, by NewsRx correspondents, research stated, “Risk stratificationof patients presenting to the emergency department (ED) is important for appropriate triage. Diagnosticlaboratory tests are an essential part of the workup and risk stratification of these patients.”

    Researchers from Chang’an University Detail New Studies and Findings in the Area of Machine Learning (Machine Learning-based Prediction of Axial Load Bearing Capacity for Cfrst Columns)

    50-50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 are presented in a new report. According to newsoriginating from Xi’an, People’s Republic of China, by NewsRx correspondents, research stated, “As aprimary load-bearing component, accurately predicting the bearing capacity of concrete-filled rectangularsteel tube (CFRST) members is an essential prerequisite for ensuring structural safety. Machine learningmethods are employed to model and predict the axial load bearing capacity of CFRST columns.”

    Hasan Kalyoncu University Reports Findings in Machine Learning (Machine learning models for early prediction of mortality risk in patients with burns: A single center experience)

    51-51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 the subject of a report. According to newsreporting out of Gaziantep, Turkey, by NewsRx editors, research stated, “Mortality rate is considered as themost important outcome measure for assessing the severity of burn injury. A scale or model that accuratelypredicts burn mortality can be useful to determine the clinical course of burn injuries, discuss treatmentoptions and rehabilitation with patients and their families, and evaluate novel, innovative interventions forthe injuries.”

    Studies from Campus Bio-Medico University in the Area of Robotics Described (Effect of Vibrotactile Feedback on the Control of the Interaction Force of a Supernumerary Robotic Arm)

    52-52页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on robotics have been presented. According to news originating fromRome, Italy, by NewsRx correspondents, research stated, “Supernumerary robotic limbs are mainly designedto augment the physical capabilities of able-bodied individuals, in a wide range of contexts from bodysupport to surgery.”

    Reports on Machine Learning Findings from Central South University of Forestry & Technology Provide New Insights (Estimating Fine Fuel Load Using Sentinel-2A Imagery and Machine Learning: A Case Study in the Mountainous Forests of Changsha, ...)

    53-53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 artificial intelligence. According to news reportingfrom Changsha, People’s Republic of China, by NewsRx journalists, research stated, “Fine fuel load (FFL)is a crucial variable influencing the occurrence of wildfire. Accurate knowledge of the distribution of FFLin mountainous forests is essential for ongoing wildfire risk management and the stability of mountainecosystems.”

    New Data from University of Oberta Catalunya Illuminate Findings in Machine Learning (Describeml: a Dataset Description Tool for Machine Learning)

    54-54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 from Barcelona, Spain, by NewsRx journalists, research stated, “Datasets are essential for trainingand evaluating machine learning models. However, they are also the root cause of many undesirable modelbehaviors, such as biased predictions.”

    University of Liverpool Reports Findings in Artificial Intelligence (Antimicrobial learning systems: an implementation blueprint for artificial intelligence to tackle antimicrobial resistance)

    54-55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 Liverpool, United Kingdom, by NewsRx journalists, research stated, “The proliferation ofvarious forms of artificial intelligence (AI) brings many opportunities to improve health care. AI modelscan harness complex evolving data, inform and augment human actions, and learn from health outcomessuch as morbidity and mortality.”

    Studies from Imperial College London in the Area of Androids Described (Digital Twin-driven Mixed Reality Framework for Immersive Teleoperation With Haptic Rendering)

    55-56页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics - Androids are presented in a new report. According to newsreporting originating in London, United Kingdom, by NewsRx journalists, research stated, “Teleoperationhas widely contributed to many applications. Consequently, the design of intuitive and ergonomic controlinterfaces for teleoperation has become crucial.”