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

    Georgia Institute of Technology Researcher Highlights Recent Research in Robotic s (Estimating human joint moments unifies exoskeleton control, reducing user eff ort)

    1-1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 robotic s. According to news reporting out of Atlanta,Georgia, by NewsRx editors, resea rch stated, “Robotic lower-limb exoskeletons can augment humanmobility, but cur rent systems require extensive, context-specific considerations, limiting their real-worldviability.”

    Cairo University Reports Findings in Machine Learning (Dimensionality reduction for images of IoT using machine learning)

    2-2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 newsreporting originating from Giza, Egypt, by NewsRx correspondents, research stated, “Sensors, wearables,mobile devices, and other Internet of Things (IoT) devices are becoming increasingly integrated into allaspects of our lives. They are capable of gathering enormous amounts o f data, such as image data, whichcan then be sent to the cloud for processing.”

    New Findings from Chinese Academy of Sciences Describe Advances in Imaging Techn ology (Accurate Determination of Sorghum Origin Based On Hyperspectral Imaging T echnology and Machine Learning)

    3-3页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Technology - Imaging Tec hnology have been published. According tonews reporting originating in Hefei, P eople’s Republic of China, by NewsRx journalists, research stated,“Sorghum is a n important crop, and the quality of sorghum of the same variety from different geographicorigins varies greatly. This study focuses on HongYingZi sorghum from five distinct origins, employing acombination of hyperspectral imaging (HSI) t echnology and machine learning algorithms to investigatemethods for classifying sorghum origin.”

    University of Pisa Reports Findings in Heart Disease (Machine learning to identi fy a composite indicator to predict cardiac death in ischemic heart disease)

    4-4页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Heart Disorders and Di seases - Heart Disease is the subject ofa report. According to news originating from Pisa, Italy, by NewsRx correspondents, research stated,“Machine learning (ML) employs algorithms that learn from data, building models with the potential topredict events by aggregating a large number of variables and assessing thei r complex interactions. Theaim of this study is to assess ML potential in ident ifying patients with ischemic heart disease (IHD) athigh risk of cardiac death (CD).”

    Findings from Queensland University of Technology (QUT) Update Understanding of Artificial Intelligence (A Bivariate, Non-stationary Extreme Value Model for Est imating Opposing-through Crash Frequency By Severity By Applying Artificial …)

    5-6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 Ar tificial Intelligence. According to news reportingout of Brisbane, Australia, b y NewsRx editors, research stated, “Multivariate extreme value modellingtechniq ues are widely applied to estimate crash risks from traffic conflicts, with a pr edominant focuson rear-end crashes. In contrast, the suitability of conflict me asures within a multivariate framework forestimating opposing-through crash ris ks has received less attention.”

    Studies from Massachusetts Institute of Technology in the Area of Machine Learni ng Reported (Zeosyn: a Comprehensive Zeolite Synthesis Dataset Enabling Machine- learning Rationalization of Hydrothermal Parameters)

    6-7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 Machine Learning. According to news originatingfrom Cambridge, Massachusetts, by NewsR x correspondents, research stated, “Zeolites, nanoporous aluminosilicateswith w ell-defined porous structures, are versatile materials with applications in cata lysis,gas separation, and ion exchange. Hydrothermal synth

    Study Data from Zhengzhou University Update Knowledge of Support Vector Machines (Iot-enabled Fault Prediction and Maintenance for Smart Charging Piles)

    7-7页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning - Supp ort Vector Machines is now available.According to news originating from Zhengzh ou, People’s Republic of China, by NewsRx correspondents,research stated, “With the application of the Internet of Things (IoT), smart charging piles, which ar eimportant facilities for new energy electric vehicles (NEVs), have become an i mportant part of the smartgrid. Since the smart charging piles are generally de ployed in complex environments and prone to failure,it is significant to perfor m efficient fault diagnosis and timely maintenance for them.”

    Zhejiang University Reports Findings in Robotics (Multimodal Autonomous Locomoti on of Liquid Crystal Elastomer Soft Robot)

    8-8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 subjec t of a report. According to news originatingfrom Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Self-oscillationphenomena o bserved in nature serve as extraordinary inspiration for designing synthetic aut onomousmoving systems. Converting self-oscillation into designable self-sustain ed locomotion can lead to a newgeneration of soft robots that require minimal/n o external control.”

    Studies from Wuhan Polytechnic University Yield New Information about Machine Le arning (Non-destructive Detection and Grading of Chilling Injury-induced Lignifi cation of Kiwifruit Using X-ray Computer Tomography and Machine Learning)

    9-10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 Hubei, People’s Republ ic of China, by NewsRx correspondents, research stated, “Thepostharvest quality of kiwifruit is primarily maintained through low-temperature storage. However, thedetrimental effects of low-temperature storage on kiwifruit include the chil ling injury-induced lignification(CIIL) of the subcutaneous tissue.”

    University of Zaragoza Reports Findings in Machine Learning (Machine learning-ba sed prediction of tear osmolarity for contact lens practice)

    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 Machine Learning is th e subject of a report. According to newsreporting out of Zaragoza, Spain, by Ne wsRx editors, research stated, “This study addressed the utilisationof machine learning techniques to estimate tear osmolarity, a clinically significant yet ch allenging parameterto measure accurately. Elevated tear osmolarity has been obs erved in contact lens wearers and is associatedwith contact lens-induced dry ey e, a common cause of discomfort leading to discontinuation of lens wear.”