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

    Studies from University of Rochester Add New Findings in the Area of Machine Learning (A Taxonomy of Upper-mantle Stratification In the Us)

    69-69页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Rochester, N ew York, by NewsRx correspondents, research stated, “The investigation of upper mantle structure beneath the US has revealed a growing diversity of discontinuit ies within, across, and underneath the sub-continental lithosphere. As the compl exity and variability of these detected discontinuities increase-for example, ve locity increase/decrease, number of layers and depth-it is hard to judge which c onstraints are robust and which explanatory models generalize to the largest set of constraints.”

    Study Findings on Robotics Discussed by Researchers at Harbin Engineering University (Path planning of mobile robot based on improved TD3 algorithm in dynamice nvironment)

    70-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on robotics. According to news reporting originating from Harbin Engineering University by NewsRx correspondents, research stated, “This paper proposes an improved TD3 (Twin Delayed Deep Deterministic Policy Gradient) algorithm to address the flaws of low success rate and slow training speed, when using the original TD3 algorithm in mobile robot path planning in dynamic environment.”

    Studies from Inner Mongolia Minzu University Update Current Data on Artificial Intelligence (Application of the artificial intelligence system based on graphics and vision in ethnic tourism of subtropical grasslands)

    71-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on artificial intelligence are discussed in a new report. According to news reporting from Inner Mongolia Minzu University by NewsRx journalists, research stated, “This study aims to optimize the evaluation and decision-making of ethnic tourism resources through the util ization of deep learning algorithms and Internet of Things (IoT) technology. Spe cifically, emphasis is placed on the recognition and feature extraction of Mongo lian decorative patterns, providing new insights for the deep application of cul tural heritage and visual design.”

    Investigators from Southeast University Release New Data on Machine Learning (Life Cycle Assessment of Urban Road Networks: Quantifying Carbon Footprints and Fo recasting Future Material Stocks)

    72-72页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news originating from Jiangsu, People’s Re public of China, by NewsRx correspondents, research stated, “This study introduc es a comprehensive framework designed to assess the carbon footprint of urban ro ad networks, covering all stages from production to maintenance. Complementing t his framework, a dedicated prediction model is also developed.”

    Recent Findings in Robotics Described by Researchers from Nanjing University of Aeronautics and Astronautics (Fault-tolerant Control for Markov Jump Nonlinear S ystems Based On an Observer and Finite-time Fast Integral Terminal Sliding Mode ...)

    73-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report. According to news reporting originating from Nanjing, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “This paper develops a novel fault-tolerant control based on an observer for underactuated r obot manipulators with unknown external disturbances, uncertainties, and actuato r faults. First, unlike the traditional approach of treating the robot system as a parameter time-varying system, the underactuated robot manipulator with diffe rent drive modes can be considered as one of the classical Markov jump nonlinear systems (MJNSs).”

    New Findings in Robotics Described from Gheorghe Asachi Technical University (Ne uromorphic Sensor Based on Force-Sensing Resistors)

    74-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on robotics are presented in a new report. According to news reporting out of Iasi, Romania, by NewsRx edit ors, research stated, “This work introduces a neuromorphic sensor (NS) based on force-sensing resistors (FSR) and spiking neurons for robotic systems.”

    Faculty of Medicine and University Hospital of Cologne Reports Findings in Machine Learning (First experiences with machine learning predictions of accelerated declining eGFR slope of living kidney donors 3 years after donation)

    75-76页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting originating in Cologne, Germany, by NewsRx journalists, research stated, “Living kidney donors are screened p re-donation to estimate the risk of end-stage kidney disease (ESKD). We evaluate Machine Learning (ML) to predict the progression of kidney function deteriorati on over time using the estimated GFR (eGFR) slope as the target variable.”

    McMaster University Reports Findings in Machine Learning (Applications of Machine Learning in Prognostication of mTBI: A Systematic Review)

    76-76页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting from Hamilton, Canada, by New sRx journalists, research stated, “To review the literature regarding the current state and clinical applicability of machine learning (ML) models in prognostic ating the outcomes of patients with mild traumatic brain injury (mTBI) in the early clinical presentation. Databases were searched for studies including ML and mTBI from inception to March 10, 2023.”

    Findings from Wadia Institute of Himalayan Geology Broaden Understanding of Machine Learning (Porosity Prediction Using Ensemble Machine Learning Approaches: a Case Study From Upper Assam Basin)

    77-77页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting from Dehradun, India, by NewsRx jou rnalists, research stated, “Porosity is an important petrophysical parameter that determines the amount of fluid, including oil, water, and gas contained within the rock. In petroleum exploration, it plays a crucial role in reservoir charac terization, petrophysical studies, and geological analysis.”

    University of Helsinki Reports Findings in Artificial Intelligence (Opening the Black Box: Spatial Transcriptomics and the Relevance of Artificial Intelligence- Detected Prognostic Regions in High-Grade Serous Carcinoma)

    78-79页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting from Helsinki, Finland , by NewsRx journalists, research stated, “Image-based deep learning models are used to extract new information from standard hematoxylin and eosin pathology sl ides; however, biological interpretation of the features detected by artificial intelligence (AI) remains a challenge. Highgrade serous carcinoma of the ovary (HGSC) is characterized by aggressive behavior and chemotherapy resistance, but also exhibits striking variability in outcome.”