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

    Reports Outline Machine Learning Study Findings from Lanzhou University of Techn ology (Machine Learning Study of D:a1:a2 Ternary Organic Solar Cells)

    57-57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 th e subject of a report. According to news reporting originating in Gansu, People’ s Republic of China, by NewsRx journalists, research stated, “Introducing third component into donor:acceptor heterojunction provide new dimension to improve po wer conversion efficiency of organic solar cells (OSCs). However, the combining different donors and acceptors, as well as optimizing fabricating procedures are exhaust and tedious by experiment for ternary OSCs.”

    Studies from National University of Defense Technology Have Provided New Informa tion about Machine Learning (Machine Learning Model To Accurately Estimate the P lanetary Boundary Layer Height of Beijing Urban Area With Era5 Data)

    58-59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 Machine Learning have been presented. According to news reporting originating in Changsha, People’s R epublic of China, by NewsRx journalists, research stated, “The planetary boundar y layer height (PBLH) is one of the most important parameters in the environment al, weather, and climatic research. Therefore, it is of great significance and a pplication value to accurately estimate the PBLH by using the available conventi onal reanalysis meteorological datasets.”

    Northwest Normal University Researcher Details New Studies and Findings in the A rea of Pattern Recognition and Artificial Intelligence (Head Pose Estimation Bas ed on Multi-Level Feature Fusion)

    59-59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 pa ttern recognition and artificial intelligence. According to news reporting from Lanzhou, People’s Republic of China, by NewsRx journalists, research stated, “He ad Pose Estimation (HPE) has a wide range of applications in computer vision, bu t still faces challenges: (1) Existing studies commonly use Euler angles or quat ernions as pose labels, which may lead to discontinuity problems. (2) HPE does n ot effectively address regression via rotated matrices.”

    Recent Studies from Indian Institute for Technology Add New Data to Machine Lear ning (A New Machine Learning Approach for Estimating Shear Wave Velocity Profile Using Borelog Data)

    60-61页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning have be en published. According to news originating from Uttarakhand, India, by NewsRx c orrespondents, research stated, “The shear wave velocity is among the key parame ters that are responsible for damage caused during an earthquake. Determining sh ear wave velocity is a costly and time-consuming direct geophysical method.”

    Data on Machine Learning Reported by Researchers at Shandong University (Mdf-dmc : a Stock Prediction Model Combining Multiview Stock Data Features With Dynamic Market Correlation Information)

    61-62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 Machine Learning have been presented. According to news originating from Jinan, People’s Republic of China, by NewsRx correspondents, research stated, “Using machine learning couple d with stock price data to predict stock price trends has attracted increasing a ttention from data mining and machine learning communities. An accurate predicti on results can help investors reduce investment risks and improve investment ret urns.”

    Recent Findings from University of Tehran Highlight Research in Machine Learning (Address matching using machine learning methods: An application to register-ba sed census)

    62-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news reporting out of Tehran, Iran, by NewsRx ed itors, research stated, “Today, most activities of the statistical offices need to be adapted to the modernization policies of the national statistical system.”

    Department of Urology Reports Findings in Prostate Cancer (Development of a micr oultrasound-based nomogram to predict extraprostatic extension in patients with prostate cancer undergoing robot-assisted radical prostatectomy)

    63-63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 Oncology - Prostate Ca ncer is the subject of a report. According to news originating from Milan, Italy , by NewsRx correspondents, research stated, “To develop a microultrasound-based nomogram including clinicopathological parameters and microultrasound findings to predict the presence of extra-prostatic extension and guide the grade of nerv e-sparing. All patients underwent microultrasound the day before robot-assisted radical prostatectomy.”

    University of Crete Reports Findings in Machine Learning (Tailoring ammonia capt ure in MOFs and COFs: A multi-scale and machine learning comprehensive investiga tion of functional group modification)

    64-64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 Machine Learning is th e subject of a report. According to news reporting originating from Crete, Greec e, by NewsRx correspondents, research stated, “Our study aims to examine the imp act of ligand functionalization on the ammonia adsorption properties of MOFs and COFs, by combining multi-scale calculations with machine learning techniques. D ensity Functional Theory calculations were performed to investigate the interact ions between ammonia (NH ) and a comprehensive set of 48 strategically chosen fu nctional groups.”

    Necmettin Erbakan University Researcher Broadens Understanding of Machine Learni ng (Are Supervised Learning Methods Suitable for Estimating Crop Water Consumpti on under Optimal and Deficit Irrigation?)

    65-65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 out of Necmettin Erbakan Univ ersity by NewsRx editors, research stated, “This study examined the performance of random forest (RF), support vector machine (SVM) and adaptive boosting (AB) m achine learning models used to estimate daily potato crop evapotranspiration adj usted (ETc-adj) under full irrigation (I100), 50% of full irrigati on supply (I50) and rainfed cultivation (I0).”

    Reports on Artificial Intelligence Findings from Johns Hopkins University Provid e New Insights (Mitigating Allocative Tradeoffs and Harms In an Environmental Ju stice Data Tool)

    66-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning - Artificial Int elligence is the subject of a report. According to news reporting originating in Baltimore, Maryland, by NewsRx journalists, research stated, “Neighbourhood-lev el screening algorithms are increasingly being deployed to inform policy decisio ns. However, their potential for harm remains unclear: algorithmic decision-maki ng has broadly fallen under scrutiny for disproportionate harm to marginalized g roups, yet opaque methodology and proprietary data limit the generalizability of algorithmic audits.”