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

    Data from University of Tabriz Provide New Insights into Support Vector Machines (Investigation of the Performance of Soft Computing Methods in the Hydraulic Ev aluation of the Slot Fishway on the Inclined Drop)

    92-92页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on support vecto r machines. According to news reporting originatingfrom Tabriz, Iran, by NewsRx correspondents, research stated, “The present research investigatesK-Nearest N eighbor (K-NN) and Support Vector Machine (SVM) algorithms for evaluating hydrau licparameters of inclined drops equipped with fishway elements.”

    Data from University of Tabriz Provide New Insights into Support Vector Machines (Investigation of the Performance of Soft Computing Methods in the Hydraulic Ev aluation of the Slot Fishway on the Inclined Drop)

    92-92页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on support vecto r machines. According to news reporting originatingfrom Tabriz, Iran, by NewsRx correspondents, research stated, “The present research investigatesK-Nearest N eighbor (K-NN) and Support Vector Machine (SVM) algorithms for evaluating hydrau licparameters of inclined drops equipped with fishway elements.”

    Researcher at Shibaura Institute of Technology Discusses Research in Computation al Intelligence (Two Fuzzy Clustering Algorithms Based on ARMA Model)

    93-94页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in computational inte lligence. According to news originating fromTokyo, Japan, by NewsRx corresponde nts, research stated, “This study proposes two fuzzy clusteringalgorithms based on autoregressive moving average (ARMA) model for series data.”

    Researcher at Shibaura Institute of Technology Discusses Research in Computation al Intelligence (Two Fuzzy Clustering Algorithms Based on ARMA Model)

    93-94页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in computational inte lligence. According to news originating fromTokyo, Japan, by NewsRx corresponde nts, research stated, “This study proposes two fuzzy clusteringalgorithms based on autoregressive moving average (ARMA) model for series data.”

    Data on Robotics Reported by Researchers at Qufu Normal University (Adaptive Eve nt-triggered Exponential Tracking Control of Parallel Robot Manipulators)

    94-95页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingout of Qufu, People’s Republic of C hina, by NewsRx editors, research stated, “This article aims to solvea challeng ing problem in control of parallel robot manipulators-exponential tracking of th e angle andangular velocity for any reference signal. The difficulty is how to separate unknown parameters from errordynamics in the presence of uncertainties and avoid calculation explosions in the construction of an adaptivestate-feedb ack controller.”

    Data on Robotics Reported by Researchers at Qufu Normal University (Adaptive Eve nt-triggered Exponential Tracking Control of Parallel Robot Manipulators)

    94-95页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingout of Qufu, People’s Republic of C hina, by NewsRx editors, research stated, “This article aims to solvea challeng ing problem in control of parallel robot manipulators-exponential tracking of th e angle andangular velocity for any reference signal. The difficulty is how to separate unknown parameters from errordynamics in the presence of uncertainties and avoid calculation explosions in the construction of an adaptivestate-feedb ack controller.”

    Researchers at Islamic Azad University Target Machine Learning (Improving the st reamflow prediction accuracy in sparse data regions: a fresh perspective on inte grated hydrological-hydrodynamic and hybrid machine learning models)

    95-96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 Marvdasht, Iran, by Ne wsRx editors, research stated, “Considering the differences and complexnonlinea r relationships of the observational data, this research integrated the hydrolog ical, hydrodynamicand time series models, including the SWAT+, MIKE21, VMD, SAR IMA, TCN and ADPSO, to increasethe accuracy and efficiency of streamflow simula tions by applying the water yield in scarce-data areas ofthe Doroodzan Reservoi r Dam, Iran.”

    Researchers at Islamic Azad University Target Machine Learning (Improving the st reamflow prediction accuracy in sparse data regions: a fresh perspective on inte grated hydrological-hydrodynamic and hybrid machine learning models)

    95-96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 Marvdasht, Iran, by Ne wsRx editors, research stated, “Considering the differences and complexnonlinea r relationships of the observational data, this research integrated the hydrolog ical, hydrodynamicand time series models, including the SWAT+, MIKE21, VMD, SAR IMA, TCN and ADPSO, to increasethe accuracy and efficiency of streamflow simula tions by applying the water yield in scarce-data areas ofthe Doroodzan Reservoi r Dam, Iran.”

    Recent Findings from Indian Institute of Technology (IIT) Patna Provides New Ins ights into Machine Learning [Performance Evaluation of Machin e Learning Algorithms for the Prediction of Particle Froude Number (Frn) Using . ..]

    96-97页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Machine Lea rning. According to news reporting originatingin Patna, India, by NewsRx journa lists, research stated, “The sewer system is a critical component ofurban infra structure, responsible for transporting wastewater and stormwater away from popu lated areas.Proper design and management of sewer systems are essential to prev ent flooding, reduce environmentalpollution, and ensure public health and safet y.”

    Recent Findings from Indian Institute of Technology (IIT) Patna Provides New Ins ights into Machine Learning [Performance Evaluation of Machin e Learning Algorithms for the Prediction of Particle Froude Number (Frn) Using . ..]

    96-97页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Machine Lea rning. According to news reporting originatingin Patna, India, by NewsRx journa lists, research stated, “The sewer system is a critical component ofurban infra structure, responsible for transporting wastewater and stormwater away from popu lated areas.Proper design and management of sewer systems are essential to prev ent flooding, reduce environmentalpollution, and ensure public health and safet y.”