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

    New Machine Learning Study Results from Science University of Malaysia Described (A Novel Machine Learning Approach for Interpolating Seismic Velocity and Elect rical Resistivity Models for Early-stage Soil-rock Assessment)

    96-97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 Machine Learning. According to news reporting fromGeorge Town, Malaysia, by NewsRx jou rnalists, research stated, “Identifying near-surface lithologicalconditions is crucial for investigations such as building foundations, engineering projects, a nd groundwaterresources, among others. Geotechnical drilling has limitations in collecting data from precise locations.”

    New Findings on Computational Intelligence Described by Investigators at Southea st University (Distributed Heavy-ball Over Timevarying Digraphs With Barzilai-b orwein Step Sizes)

    97-98页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning - Co mputational Intelligence have been presented.According to news reporting origin ating from Nanjing, People’s Republic of China, by NewsRxcorrespondents, resear ch stated, “In this paper, we consider the problem of distributed optimization over time-varying directed graphs, where each agent maintains a private objective function and the goal ofall agents is to cooperatively minimize the sum of the ir objects. By combining Heavy-Ball method withBarzilai-Borwein step sizes, a n ovel discrete-time accelerated distributed algorithm termed as HBBB isproposed. ”

    Research from Iran University of Science and Technology in the Area of Robotics Described (Flocking of Quadcopter Robots Observing Safety Distance)

    98-98页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New study results on robotics have been published . According to news reporting out of Tehran,Iran, by NewsRx editors, research s tated, “In this paper, a new method for flocking quadcopters isintroduced. For this purpose, the idea of two-level control has been used, where the high-level controlleris the same as the flocking algorithm and acts as the path designer o f quadcopters.”

    New Machine Learning Findings Has Been Reported by Investigators at Fuzhou Unive rsity (Adaptive Decentralized Federated Learning In Resource-constrained Iot Net works)

    99-99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 reportingfrom Fuzhou, People’s Republic of China, by NewsRx journalists, research stated, “Decentralized federatedlearning (DFL) is a novel distributed machine-learning paradigm where participants collaborate totrain machine-learning models without the assistance of the central server. The decentralized frameworkcan effectively overcome the communication bottlenec k and single-point-of-failure issues encountered infederated learning (FL).”

    Findings on Robotics Reported by Investigators at Tsinghua University (Robotgpt: Robot Manipulation Learning From Chatgpt)

    100-101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 reporting originatingin Beijing, People’s Republic of China, by NewsRx journalists, research stated, “We present RobotGPT, an innov ative decision framework for robotic manipulation that prioritizes stability and safety. The executioncode generated by ChatGPT cannot guarantee the stability and safety of the system.”Financial support for this research came from New Generation Artificial Intellig ence.

    University Center Reports Findings in Robotics (Retrograde intrarenal surgery us ing the ILY robotic flexible ureteroscope: a single centre experience)

    100-100页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news originating fromWroclaw, Poland, by NewsRx cor respondents, research stated, “The ILY robotic flexible ureteroscope hasbeen in troduced in order to improve intraoperative ergonomics, reduce operator distance from radiation andshorten the learning curve. In this study we aimed to assess the clinical performance and feasibility of theILY robot during retrograde int rarenal surgery (RIRS) and combined endoscopic procedures (miniECIRS).”

    University of Science and Technology of China Reports Findings in Support Vector Machines (Diagnostic Performance of 18F-FDG Positron Emission Tomography/Comput ed Tomography and Blood Test Parameters for Pulmonary Inflammatory Pseudotumor)

    101-102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 - Sup port Vector Machines is the subject ofa report. According to news reporting out of Hefei, People’s Republic of China, by NewsRx editors,research stated, “Pulm onary inflammatory pseudotumor (PIP) is an inflammatory proliferative tumorlikelesion that frequently exhibits hypermetabolism on 18F-fluorodeoxyglucose (FDG) positron emissiontomography/computed tomography imaging (PET/CT) and is readil y misdiagnosed as a malignant tumor.The purpose of this study was to identify P IP by combining PET/computed tomography metabolic andblood test characteristics with machine learning.”

    New Machine Learning Study Results Reported from Cadi Ayyad University (Predicti ve Insights for Copper Recovery: a Synergistic Approach Integrating Variability Data and Machine Learning In the Geometallurgical Study of the Tizert Deposit, . ..)

    102-103页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting from Marrakech, Moroc co, by NewsRx journalists, research stated, “This work involved theapplication of machine learning (ML) to predict copper recovery through variability data in the context ofthe geometallurgical study of the Tizert deposit in Morocco. For this purpose, geological and metallurgicalvariability investigations were condu cted on drilling samples from Tizert ore, leading to the consolidationof a robu st database for ML algorithms.”

    Hangzhou Normal University Reports Findings in Machine Learning (A machine learn ing screening model for identifying the risk of high-frequency hearing impairmen t in a general population)

    104-105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 Zhejiang, People’s Repub lic of China, by NewsRx journalists, research stated, “Hearingimpairment (HI) h as become a major public health issue in China. Currently, due to the limitation s ofprimary health care, the gold standard for HI diagnosis (pure-tone hearing test) is not suitable for large-scaleuse in community settings.”

    Researchers from Beijing Institute of Technology Report Details of New Studies a nd Findings in the Area of Robotics (Underwater Formation System Design and Impl ement for Small Spherical Robots)

    105-105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 reporting fromBeijing, People’s Republic of China, by NewsRx journalists, research stated, “Aiming at the difficulty ofcommunication and positioning of the existing underwater robot system, this article combines the visionsystem with a closed leader-follower formation structure to realize t he underwater formation of threeunderwater robots.”