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    New Findings from Eindhoven University of Technology in Machine Learning Provide s New Insights (Classifying the Age of a Glass Based On Structural Properties: a Machine Learning Approach)

    66-67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 is now available. According to news reportingoriginating in Eindhoven, Netherlands, b y NewsRx journalists, research stated, “It is well established thatphysical agi ng of amorphous solids is governed by a marked change in dynamical properties as the materialbecomes older. Conversely, structural properties such as the radia l distribution function exhibit only avery weak age dependence, usually deemed negligible with respect to the numerical noise.”

    Findings from National Institute of Technology Warangal Provides New Data about Machine Learning (Predictive Resource Allocation and Vnf Deployment Using Ensemble Learning)

    67-68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 from Telangana, India, by New sRx journalists, research stated, “Network function virtualizationallows the im plementation of network services on readily available commercial off-the-shelf s ervers. Aprimary obstacle is efficiently, autonomously, and dynamically allocat ing physical resources to virtualnetwork functions that experience fluctuating resource demands.”

    Study Data from University of Siegen Update Knowledge of Machine Learning (A nov el machine learning model for predicting late supplier deliveries of low-volume- high-variety products with application in a German machinery industry)

    68-68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 intelligenc e is the subject of a new report. According tonews originating from Siegen, Ger many, by NewsRx correspondents, research stated, “Although MachineLearning (ML) in supply chain management (SCM) has become a popular topic, predictive uses of ML inSCM remain an understudied area. A specific area that needs further atten tion is the prediction of latedeliveries by suppliers.”

    Researchers’ Work from University of Southern Florida Focuses on Machine Learnin g (Learning To Project In a Criterion Space Search Algorithm: an Application To Multi-objective Binary Linear Programming)

    69-69页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Learning have be en published. According to news reportingfrom Tampa, Florida, by NewsRx journal ists, research stated, “In this paper, we investigate the possibilityof improvi ng the performance of multi-objective optimization solution approaches using mac hine learningtechniques. Specifically, we focus on multi-objective binary linea r programs and employ one of the mosteffective and recently developed criterion space search algorithms, the so-called KSA, during our study.”

    Findings on Robotics Reported by Investigators at Nanjing Tech University (Event -based Adaptive Fault Tolerant Control and Collision Avoidance of Wheel Mobile R obots With Communication Limits)

    70-70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 originatingin Nanjing, People’s Republic of Chin a, by NewsRx journalists, research stated, “This article studies theadaptive fa ult tolerant control (AFTC) and collision avoidance problem for wheel mobile rob ots (WMRs)under event-triggered mechanism and communication constraints. The dy namics of WMRs and theirtransformation are considered first.”

    Institute of Aeronautical Engineering Researchers Provide New Data on Machine Le arning (Comparative Review on Machine Learning- Based Predictive Modeling for Mec hanical Characterization)

    71-72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 intelligen ce have been presented. According to newsoriginating from the Institute of Aero nautical Engineering by NewsRx correspondents, research stated, “The development of machine learning (ML) methods in the field of material science has provided newpossibilities for predictive modeling, especially in the field of mechanical material evaluation.”

    Research Conducted at Technical University Has Updated Our Knowledge about Robot ics (The Fingertip Manipulability Assessment of Tendon-driven Multi-fingered Hands)

    71-71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 are presented i n a new report. According to news originatingfrom Munich, Germany, by NewsRx co rrespondents, research stated, “The ability of robotic fingers to exertforce an d exhibit motion is vital for achieving dexterity in manipulation tasks. To eval uate dexterouscapabilities in terms of both features, i.e., quantifying finger performance that facilitates task planning anddesign optimization, we introduce the Fingertip Manipulability (FtM) metric.”

    Researchers from Queensland University of Technology Report Recent Findings in R obotics (Reactive Base Control for On-the-move Mobile Manipulation In Dynamic En vironments)

    72-73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 Robotics. According to news originating fromBrisbane, Australia, by NewsRx corr espondents, research stated, “We present a reactive base controlmethod that ena bles high performance mobile manipulation on-the-move in real-world environments withstatic and dynamic obstacles. Performing manipulation tasks while the mobi le base remains in motion cansignificantly decrease the time required to perfor m multi-step tasks, as well as improve the gracefulnessof the robot’s motion.”

    Study Results from Indian Institutes of Technology Madras in the Area of Support Vector Machines Reported (Hodlrdd: a New Blackbox Fast Algorithm for N-body Pr oblems In D-dimensions With Guaranteed Error Bounds Applications To Integral ... )

    73-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on Support Vector Machines have bee n presented. According to news reportingoriginating from Chennai, India, by New sRx correspondents, research stated, “We study rank of sub -matrices arising out of kernel functions, ( , ) : Rd x Rd R, where , is an element of Rd and ( , ) i s smootheverywhere except along the line =. Such kernel functions are frequentl y encountered in a wide range ofareas. To our knowledge, this is the first work to formally study rank growth of matrices arising out of awide range of kernel functions in any dimension.”

    Central South University Reports Findings in Bioinformatics (Identification of M ACC1 as a potential biomarker for pulmonary arterial hypertension based on bioin formatics and machine learning)

    74-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Biotechnology - Bioinf ormatics is the subject of a report. Accordingto news reporting from Hunan, Peo ple’s Republic of China, by NewsRx journalists, research stated,“Pulmonary arte rial hypertension (PAH) is a life-threatening disease characterized by abnormal earlyactivation of pulmonary arterial smooth muscle cells (PASMCs), yet the und erlying mechanisms remain tobe elucidated. Normal and PAH gene expression profi les were obtained from the Gene Expression Omnibus(GEO) database and analyzed u sing gene set enrichment analysis (GSEA) to uncover the underlyingmechanisms.”