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    Studies Conducted at Sao Paulo State University (UNESP) on Machine Learning Rece ntly Reported (Appling Machine Learning for Estimating Total Suspended Solids In Bft Aquaculture System)

    67-67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 reportingoriginating in Registro, Brazil, by News Rx journalists, research stated, “Biofloc Technology (BFT) systemsare used to i mprove water quality and the production of aquatic organisms, and they influence dissolvedoxygen, alkalinity, and pH, directly affecting the efficiency and suc cess of this production system. Measuringtotal suspended solids (TSS) in water demands substantial investments and involves a time-consumingprocess to obtain results.”

    Research Data from China University of Petroleum East China Update Understanding of Robotics (Research on Path Planning Technology of a Line Scanning Measuremen t Robot Based on the CAD Model)

    68-68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 out ofQingdao, People’s Republic of China, by NewsRx editors, research stated, “With the development ofrobotics and vision measurement technology, the use of robots with line laser scanners for 3D scann ingand measurement of parts has become a mainstream trend in the field of indus trial inspection.”

    Jiangsu University of Technology Researcher Provides Details of New Studies and Findings in the Area of Machine Learning (Real-Time Simulation of Tube Hydroform ing by Integrating Finite- Element Method and Machine Learning)

    69-69页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According tonews reporting from Changzhou, Pe ople’s Republic of China, by NewsRx journalists, research stated, “Thereal-time , full-field simulation of the tube hydroforming process is crucial for deformat ion monitoring andthe timely prediction of defects.”

    New Findings from State University of Maringa (UEM) Describe Advances in Machine Learning (NTL-Unet: A Satellite-Based Approach for Non-Technical Loss Detection in Electricity Distribution Using Sentinel-2 Imagery and Machine Learning)

    70-70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 artificial intelligence is now available. According to news reportingfrom Maringa, Brazil, by NewsRx j ournalists, research stated, “This study introduces an orbital monitoringsystem designed to quantify non-technical losses (NTLs) within electricity distributio n networks.”

    Researchers at University of Calgary Target Machine Learning (Machine Learning B ased Substructure Coupling of Machine Tool Dynamics and Chatter Stability)

    70-71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 Ma chine Learning. According to news reportingoriginating from Calgary, Canada, by NewsRx correspondents, research stated, “Accurate prediction of tool tip dynami cs is vital for understanding machine tool behavior and chatter. Traditional met hods involveseveral impact tests, finite element simulations, and the receptanc e coupling (RC) approach.”Financial supporters for this research include Natural Sciences and Engineering Research Council ofCanada (NSERC), Alberta Innovates.

    Peking University First Hospital Reports Findings in Nephroureterectomy (Robot-a ssisted radical nephroureterectomy using the KangDuo Surgical Robot-01 Sys-tem v ersus the da Vinci System: a multicenter prospective randomized controlled trial )

    71-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Surgery - Nephroureter ectomy is the subject of a report. Accordingto news originating from Beijing, P eople’s Republic of China, by NewsRx correspondents, research stated,“We aim to compare the safety and effectiveness of the KangDuo (KD)-Surgical Robot-01 (KD- SR-01)system and the da Vinci (DV) system for robot-assisted radical nephrouret erectomy (RARNU). Thismulticenter prospective randomized controlled trial was c onducted between March 2022 and September2023.”

    Research Results from Istanbul Aydin University Update Understanding of Machine Learning (A Transcendental Function for Combining Machine Learning and Statistic al Model Forecasts)

    72-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on artificial intelligence are present ed in a new report. According to news reporting fromIstanbul Aydin University b y NewsRx journalists, research stated, “The aim of the study is the developmentof methodology for accurate estimation of electric vehicle demand; which is para mount regarding variousaspects of the firms decision-making such as optimal pri ce, production level, and corresponding amountsof capital and labor; as well as supply chain, inventory control, capital financing, and operational expensesma nagement.”

    Researchers from Southwest Jiaotong University Report on Findings in Machine Lea rning (Exploring the Spatial Patterns of Landslide Susceptibility Assessment Usi ng Interpretable Shapley Method: Mechanisms of Landslide Formation In the …)

    73-74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 Ma chine Learning. According to news reportingoriginating in Chengdu, People’s Rep ublic of China, by NewsRx journalists, research stated, “Machinelearning models are often viewed as black boxes in landslide susceptibility assessment, lacking an analysisof how input features predict outcomes. This makes it challenging t o understand the mechanisms and keyfactors behind landslides.”

    Nantes Universite Reports Findings in Brain Injury (Predictive Models of Long-Te rm Outcome in Patients with Moderate to Severe Traumatic Brain Injury are Biased Toward Mortality Prediction

    74-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Central Nervous System Diseases and Conditions - Brain Injury isthe subject of a report. According to news originating from Nantes, France, by NewsRx correspondents,research stated , “The prognostication of long-term functional outcomes remains challenging in p atientswith traumatic brain injury (TBI). Our aim was to demonstrate that inten sive care unit (ICU) variablesare not efficient to predict 6-month functional o utcome in survivors with moderate to severe TBI (msTBI)but are mostly associate d with mortality, which leads to a mortality bias for models predicting a composite outcome of mortality and severe disability.”

    Report Summarizes Robotics and Automation Study Findings from Sun Yat-sen Univer sity (Design and Flight Control of a Novel Tiltrotor Octocopter Using Passive H inges)

    75-76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 - Robotics an d Automation is the subject of a report.According to news reporting out of Shen zhen, People’s Republic of China, by NewsRx editors, researchstated, “This lett er presents a novel tilt-rotor octocopter that can generate tiltable thrust with out theneed for servo-driven mechanisms. The octocopter’s eight rotors are divi ded into pairs and each pair ismounted on an arm, which is connected to the air frame through passive hinges.”