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 Shenyang University of Technology Advance Knowledge in Robotics (Dynam ic Movement Primitives Modulation-Based Compliance Control for a New Sitting/Lyi ng Lower Limb Rehabilitation Robot)

    87-88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 are disc ussed in a new report. According to newsoriginating from Shenyang, People’s Rep ublic of China, by NewsRx correspondents, research stated,“Compliant physical h uman-robot interaction (pHRI), as well as the accuracy and robustness of trajectory tracking, are crucial for rehabilitation robots.”

    Universidade Federal de Sao Paulo Researcher Releases New Study Findings on Mach ine Learning (Characterizing the spike timing of a chaotic laser by using ordina l analysis and machine learning)

    88-89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 out of Sao Paulo, Bra zil, by NewsRx editors, research stated, “Semiconductor lasers with opticalfeed back are well-known nonlinear dynamical systems.”

    Harbin Institute of Technology Shenzhen Reports Findings in Machine Learning (Predicting intubation for intensive care units patients: A deep learning approach to improve patient management)

    89-90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 from Shenzhen, Pe ople’s Republic of China, by NewsRx correspondents, researchstated, “For patien ts in the Intensive Care Unit (ICU), the timing of intubation has a significant associationwith patients’ outcomes. However, accurate prediction of the timing of intubation remains an unsolvedchallenge due to the noisy, sparse, heterogene ous, and unbalanced nature of ICU data.”

    Mayo Clinic Researcher Provides New Study Findings on Artificial Intelligence (A pplied Artificial Intelligence in Healthcare: A Review of Computer Vision Techno logy Application in Hospital Settings)

    90-91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. According tonews reporting out of Rochest er, Minnesota, by NewsRx editors, research stated, “Computer vision (CV),a type of artificial intelligence (AI) that uses digital videos or a sequence of image s to recognize content,has been used extensively across industries in recent ye ars.”

    New Research on Machine Learning from Julich Supercomputing Centre Summarized (C omputing formation enthalpies through an explainable machine learning method: th e case of lanthanide orthophosphates solid solutions)

    91-91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 Julich, Germany, by Ne wsRx editors, research stated, “In the last decade, the use of AI in CondensedM atter physics has seen a steep increase in the number of problems tackled and me thods employed.”

    Urmia University Researchers Target Support Vector Machines [Estimation of the Downstream Scour Depth of Vertical Drop Using the Support Vect or Machine (SVM) Algorithm]

    92-92页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on are discussed in a new repor t. According to news originating from UrmiaUniversity by NewsRx editors, the re search stated, “The downstream scour of the vertical drop can be oneof the caus es of instability and failure of this structure.”

    Tangshan Normal University Researcher Updates Knowledge of Artificial Intelligen ce (Using deep learning-based artificial intelligence electronic images in impro ving middle school teachers’ literacy)

    92-93页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on artificial intelligence have bee n presented. According to news reporting originatingfrom Tangshan Normal Univer sity by NewsRx correspondents, research stated, “With the rapid developmentof s ocietal information, electronic educational resources have become an indispensab le componentof modern education.”

    University of Florence Researchers Provide New Data on Artificial Intelligence ( Ethical challenges in the evolution of Artificial Intelligence and Fashion: A pr ospective analysis)

    93-94页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsoriginating from the University of Florence by NewsRx editors, the research stated, “The present study payspartic ular attention to issues of originality, intellectual property, and potential bi ases in machine learningmodels.”

    New Findings on Robotics Described by Investigators at Southern University of Sc ience and Technology (SUSTech) (A Deep Reinforcement Learning-based Decentralize d Hierarchical Motion Control Strategy for Multiple Amphibious Spherical Robot . ..)

    94-95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 fromGuangdong, People’s Republic of China , by NewsRx correspondents, research stated, “The variable operatingconditions and hostile environments faced by underwater robots remain a challenge for motio n controlin unknown environments. In order to improve the capability of the amp hibious spherical robot (ASR)in unknown environments, a decentralized hierarchi cal deep reinforcement learning (DRL) motion controlmethod based on deep determ inistic policy gradient (DDPG) for multiple ASRs system is proposed.”

    New Machine Learning Findings Reported from University of Hull (Hydrogen Product ion From Plastic Waste: a Comprehensive Simulation and Machine Learning Study)

    95-96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 Machine Learn ing have been published. According to newsreporting from Kingston upon Hull, Un ited Kingdom, by NewsRx journalists, research stated, “Gasification,a highly ef ficient method, is under extensive investigation due to its potential to convert biomass and plasticwaste into eco-friendly energy sources and valuable fuels. Nevertheless, there exists a gap in comprehensionregarding the integrated therm ochemical process of polystyrene (PS) and polypropylene (PP) and itscapability to produce hydrogen (H-2) fuel.”