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    Study Findings from Know-Center GmbH Update Knowledge in Machine Learning (Machi ne learning based stellar classification with highly sparse photometry data [version 2; peer review: 2 approved, 1 approved with reservations] )

    59-60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 artificial intell igence are discussed in a new report. According to news originating from Graz, A ustria, by NewsRx correspondents, research stated, “Identifying stars belonging to different classes is vital in order to build up statistical samples of differ ent phases and pathways of stellar evolution. In the era of surveys covering bil lions of stars, an automated method of identifying these classes becomes necessary.”

    Karachi Institute of Economics and Technology Researchers Target Machine Learnin g (Advancing Rainfall Prediction in Pakistan: A Fusion of Machine Learning and Time Series Forecasting Models)

    59-59页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial in telligence have been published. According to news reporting from the Karachi Ins titute of Economics and Technology by NewsRx journalists, research stated, “This study brings about an innovative approach as rainfall forecast predominantly Bo olean calculation is reviewed overall for 6 major cities of Pakistan for the tim e span of last quarter century.”

    Studies from BioRobot Institute Reveal New Findings on Robotics (Toward More Nat uralistic Tactile Sensors)

    60-61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 Robotics have been pr esented. According to news reporting originating in Pisa, Italy, by NewsRx edito rs, the research stated, “The human hand is a remarkable organ used every day to interact with the world. To achieve this, the hand is equipped with several sop histicated natural sensors that perceive touch, position, and temperature.”

    Data on Machine Learning Published by a Researcher at Xiamen University (Integra ting machine learning for the optimization of polyacrylamide/alginate hydrogel)

    61-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news reporting out of Xiamen University by NewsRx editors, research stated, “Hydrogels are highly promising due to their soft tex ture and excellent biocompatibility.”

    Jiangsu University Reports Findings in Science (Olfactory analysis of oolong tea sensory quality using composite nano-colorimetric sensor array)

    62-62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 Science is the subject of a report. According to news originating from Zhenjiang, People’s Republic of China, by NewsRx correspondents, research stated, “Chinese oolong tea is famous for its rich and diverse aromas, which is an important indicator for sensor qua lity evaluation. To accurately and rapidly evaluate sensory quality, a novel col orimetric sensor array (CSA) was developed to detect volatile organic compounds (VOCs) in oolong tea.”

    Zhongnan Hospital of Wuhan University Reports Findings in Biomarkers (Identifica tion and validation of oxidative stress-related diagnostic markers for recurrent pregnancy loss: insights from machine learning and molecular analysis)

    63-64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 Diagnostics and Screen ing - Biomarkers is the subject of a report. According to news originating from Wuhan, People’s Republic of China, by NewsRx correspondents, research stated, “I t has been recognized that oxidative stress (OS) is implicated in the etiology of recurrent pregnancy loss (RPL), yet the biomarkers reflecting oxidative stress in association with RPL remain scarce. The dataset GSE165004 was retrieved from the Gene Expression Omnibus (GEO) database.”

    Study Findings on Robotics Are Outlined in Reports from Southeast University (Hi gh Climbing and Obstacle-crossing Performance Intelligent Tracked Inspection Rob ot for Cable Trenches)

    64-65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 Robotics are presented i n a new report. According to news originating from Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “PurposeRegular cable trench inspection is crucial, and robotics automation provides an efficient and safer a lternative to manual labor. However, existing robots have limited capabilities i n traversing obstacles and lack a mechanical arm for detecting cables and equipm ent.”

    Research on Machine Learning Discussed by Researchers at Grado Department of Ind ustrial and Systems Engineering (Process mapping and anomaly detection in laser wire directed energy deposition additive manufacturing using in-situ imaging and ...)

    65-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial in telligence have been published. According to news reporting originating from Bla cksburg, Virginia, by NewsRx correspondents, research stated, “This work concern s the laser wire directed energy deposition (LW-DED) additive manufacturing proc ess. The objectives were two-fold: (1) process mapping - demarcating the process states as a function of the processing parameters; and (2) process monitoring - detecting process anomalies (instabilities) using data acquired from an in-situ meltpool imaging sensor.”

    Data from Columbus State University Advance Knowledge in Artificial Intelligence (Artificial Intelligence Applications in Smart Healthcare: A Survey)

    66-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting from Columbus, Georgia, by Ne wsRx journalists, research stated, “The rapid development of AI technology in re cent years has led to its widespread use in daily life, where it plays an increa singly important role.” The news reporters obtained a quote from the research from Columbus State Univer sity: “In healthcare, AI has been integrated into the field to develop the new d omain of smart healthcare. In smart healthcare, opportunities and challenges coe xist. This article provides a comprehensive overview of past developments and re cent progress in this area. First, we summarize the definition and characteristics of smart healthcare. Second, we explore the opportunities that AI technology brings to the smart healthcare field from a macro perspective.”

    Research and Development Reports Findings in Machine Learning (Estimating lumbar bone mineral density from conventional MRI and radiographs with deep learning in spine patients)

    67-68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 the subject of a report. According to news reporting originating in Zurich, Switze rland, by NewsRx journalists, research stated, “This study aimed to develop mach ine learning methods to estimate bone mineral density and detect osteopenia/oste oporosis from conventional lumbar MRI (T1-weighted and T2-weighted images) and p lanar radiography in combination with clinical data and imaging parameters of the acquisition protocol. A database of 429 patients subjected to lumbar MRI, radiographs and dual-energy x-ray absorptiometry within 6 months was created from an institutional database.”