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

    Findings from Northwest A&F University in Support Vector Machines R eported (Quality Grading Method For Pleurotus Eryngii During Postharvest Storage Based On Hyperspectral Imaging and Multiple Quality Indicators)

    124-125页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Support Vector Machine s is the subject of a report. According tonews reporting out of Shaanxi, People ’s Republic of China, by NewsRx editors, research stated, “During storage, Pleur otus eryngii is prone to spoilage, significantly affecting their commercial valu e. This studyaddresses the issue of inconsistent quality grading standards and low detection accuracy for Pleurotuseryngii. .”

    Researchers from University of Florida Publish Findings in Machine Learning (Mac hine learning enabled fast optical identification and characterization of 2D mat erials)

    124-124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 reportingoriginating from the Univer sity of Florida by NewsRx correspondents, research stated, “Two-dimensionalmate rials are a class of atomically thin materials with assorted electronic and quan tum properties.”

    Reports Outline Robotics and Automation Findings from KTH Royal Institute of Tec hnology (Multi-agent Formation Control Using Epipolar Constraints)

    125-126页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics - Roboti cs and Automation are discussed in a newreport. According to news reporting ori ginating in Stockholm, Sweden, by NewsRx journalists, research stated, “Formatio n control of multi-agent systems has profound applications in today’s technologi calscene, ranging from satellite constellations, collaborative load transportat ion, cooperative surveillance,and distributed aperture imaging systems. Often, these applications are needed in environments wherelocalization is challenging or inexistent, such as indoor and underground environments or extra-planetarysc enarios (such as Mars or the Moon).”

    Hartwick College Reports Findings in Machine Learning (Barley Grain Proteome Ass essment Using Multi-Environment Trial Data and Machine Learning)

    126-127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 Oneonta, New York, by NewsRx editors, research stated, “Proteomics can be used to assessindividual pr otein abundances, which could reflect genotypic and environmental effects and po tentiallypredict grain/malt quality. In this study, 79 barley grain samples (ge notype-location-year combinations)from Californian multi-environment trials (20 17-2022) were assessed using liquid chromatography-massspectrometry.”

    Researchers from Chinese Academy of Forestry Describe Findings in Machine Learni ng (Deciphering Nitrogen Concentrations In metasequoia Glyptostroboides: a Novel Approach Using Rgb Images and Machine Learning)

    127-128页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news originatingfrom Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Recent advancesin spectra l sensing techniques and machine learning (ML) methods have enabled the estimati on of plantphysiochemical traits. Nitrogen (N) is a primary limiting factor for terrestrial forest growth, but traditionalmethods for N determination are labo r-intensive, time-consuming, and destructive.”

    New Artificial Intelligence Findings from Thapar Institute of Engineering & Technology Reported (Xai-empowered Iot Multi-sensor System for Real-time Milk Ad ulteration Detection)

    128-129页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Artificial Intell igence are discussed in a new report. Accordingto news originating from Punjab, India, by NewsRx correspondents, research stated, “In response to thecritical issue of milk adulteration jeopardizing both the nutritional integrity of milk a nd the health ofconsumers, this paper presents an innovative Artificial Intelli gence (AI) enabled Internet of Things (IoT)based multi-sensor system. The escal ating consumption of milk as a pivotal nutritional source necessitatesrobust me asures to ensure its safety and quality.”

    Reports from Khulna University of Engineering and Technology Describe Recent Adv ances in Machine Learning (Analysis of Waste Glass As a Partial Substitute for C oarse Aggregate In Selfcompacting Concrete: an Experimental and Machine Learnin g ...)

    129-130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 reportingout of Khulna, Bangladesh, by NewsRx editors, research stated, “With the growing environmental burdento minimize de bris and recycle, the concrete industry has replaced wasted glass with concrete compositionelements in multiple ways. This study provides a comprehensive analy sis of integrating waste glassaggregate (WGA) at various proportions (0 % , 5 %, 10 %, 15 %, and 20 %) as substitutes for coarseaggregates along with a consistent 20 % silica fume (SF) as cement replacement in self-compacting concrete(SCC).”

    Data on Liver Resection Reported by E. Willems and Colleagues (Robotic versus la paroscopic repeat hepatectomy: A comparative single-center study of perioperativ e outcomes)

    130-131页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Surgery - Liver Resect ion is the subject of a report. According tonews reporting originating in Kortr ijk, Belgium, by NewsRx journalists, research stated, “A repeat liverresection is considered a technically challenging procedure and therefor an open approach is frequentlypreferred. With the introduction of minimally invasive liver surge ry, laparoscopic repeat liver resectiondemonstrates favorable results, however, limited data on robotic repeat liver resections exists.”

    Guru Jambheshwar University of Science and Technology Reports Findings in Machin e Learning (Banana and Guava dataset for machine learning and deep learning-base d quality classification)

    131-132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 in Haryana, India , by NewsRx journalists, research stated, “In the field of agriculture,the iden tification and classification of fruits have become necessary for sustainable gr owth in horticulturesectors. Recently, different types of advanced techniques h ave been used for the identification andclassification of fruits.”

    Tongji University Reports Findings in Lung Cancer (Machine learning identifies I mmune-based biomarkers that predict efficacy of anti-angiogenesis-based therapie s in advanced lung cancer)

    132-133页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Lung Cancer is the subject of a report. According tonews reporting out of Shanghai, People ’s Republic of China, by NewsRx editors, research stated, “Theanti-angiogenic d rugs showed remarkable efficacy in the treatment of lung cancer. Nonetheless, th epotential roles of the intra-tumoral immune cell abundances and peripheral blo od immunological featuresin prognosis prediction of patients with advanced lung cancer receiving anti-angiogenesis-based therapiesremain unknown.”