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    New Robotics Study Findings Recently Were Reported by Researchers at Indian Inst itute of Science (Ham3d: Generalized Xrbased Multimodal Hri Framework With Hapt ic Feedback for Industry 4.0)

    92-93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 Ro botics. According to news originating fromKarnataka, India, by NewsRx correspon dents, research stated, “The current generation of Industry 4.0 involves the int egration of automation and data in manufacturing, while the upcoming generation, Industry5.0, aims to enable seamless interaction between humans, robots, and m achines for sustainable andpersonalized product and service creation. This nece ssitates manufacturing components according tocustomer wishes, leading to frequ ent changes in the production line.”

    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.”

    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.”

    Data from University of Jordan Advance Knowledge in Machine Learning (Creating o ptimized machine learning pipelines for PV power generation forecasting using th e grid search and tree-based pipeline optimization tool)

    97-98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 artific ial intelligence. According to news reportingoriginating from the University of Jordan by NewsRx correspondents, research stated, “AbstractDemandfor electric power, especially amidst limited fossil fuel-based generation capacity, has elev ated renewableenergy sources to a forefront solution for the growing energy nee ds.”

    New Artificial Intelligence Findings from Hunan University Described (Prediction Methods for Phonon Transport Properties of Inorganic Crystals: From Traditional Approaches To Artificial Intelligence)

    98-98页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Artificial Intelligence are presented in a new report. According to newsreporting originating in Changs ha, People’s Republic of China, by NewsRx journalists, research stated,“In inor ganic crystals, phonons are the elementary excitations describing the collective atomic motions.The study of phonons plays an important role in terms of unders tanding thermal transport behavior andacoustic properties, as well as exploring the interactions between phonons and other energy carriers inmaterials.”

    Reports from University of Sanya Add New Data to Research in Machine Translation (Application of translation technology based on AI in translation teaching)

    99-99页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New study results on machine translation have bee n published. According to news reporting originatingfrom Sanya, People’s Republ ic of China, by NewsRx correspondents, research stated, “Nowadays,translation t echnology based on artificial intelligence (AI) has gradually matured. Tradition al translationteaching methods have many limitations, such as time and space li mitations, increased labor costs, etc.”

    Simula Research Laboratory Reports Findings in Machine Learning (AABBA Graph Ker nel: Atom-Atom, Bond-Bond, and Bond-Atom Autocorrelations for Machine Learning)

    99-100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 Oslo, Norway, by NewsRx journalists, research stated, “Graphs are one of the most naturaland powerful r epresentations available for molecules; natural because they have an intuitive c orrespondenceto skeletal formulas, the language used by chemists worldwide, and powerful, because they are highlyexpressive both globally (molecular topology) and locally (atom and bond properties). Graph kernels are used to transform mol ecular graphs into fixed-length vectors, which, based on their capacity of measu ringsimilarity, can be used as fingerprints for machine learning (ML).”

    Findings from Ministry of Education in the Area of Machine Learning Reported (Co mparative Study of Sampling Strategies for Machine Learning-based Landslide Susc eptibility Assessment)

    100-101页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating from Changsha, P eople’s Republic of China, by NewsRx correspondents, researchstated, “To explor e the influence of different sampling strategies on landslide susceptibility ass essment,this study takes landslides in Taojiang County, Hunan Province, China, as the research object. Based onthree positive sample sampling methods (discret e point sampling, buffer integral sampling, and bufferdiscrete sampling) and th ree sampling resolutions (30 m, 60 m, and 90 m cell size), nine sampling strategies were combined.”