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    Chinese Academy of Agricultural Sciences Researcher Describes Findings in Machin e Learning (Evaluation of Machine Learning Models for Estimating Grassland Pastu re Yield Using Landsat-8 Imagery)

    11-12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 from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Accuratees timation of pasture yield in grasslands is crucial for the sustainable utilizati on of pasture resources andthe optimization of grassland management.”

    University of Lille Reports Findings in Machine Learning (Utility of an Echocard iographic Machine Learning Model to Predict Outcomes in ICCU Patients)

    12-13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 in Lille, France, by NewsRx journalists, research stated, “The risk stratification atadmission i n ICCU (intensive cardiac care unit) is crucial and remains challenging. We aime d to investigatethe accuracy of a machine learning (ML)-model based on initial transthoracic echocardiography (TTE) topredict in-hospital major adverse events (MAEs) in a broad spectrum of patients admitted to ICCU.”

    Tsinghua University Reports Findings in Synthetic Biology (Exploring the Promote r Generation and Prediction of Halomonas spp. Based on GAN and Multi-Model Fusio n Methods)

    13-14页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Biotechnology - Synthe tic Biology is the subject of a report. Accordingto news reporting out of Beiji ng, People’s Republic of China, by NewsRx editors, research stated,“Promoters, as core elements in the regulation of gene expression, play a pivotal role in ge netic engineeringand synthetic biology. The accurate prediction and optimizatio n of promoter strength are essential foradvancing these fields.”

    Findings on Robotics Discussed by Investigators at Institute of Aeronautical Tec hnology (Mixed-integer Motion Planning for Nonholonomic Robots Under Visible Lig ht Communication Constraints)

    14-15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 Robotics is now availab le. According to news reporting out of SaoPaulo, Brazil, by NewsRx editors, res earch stated, “This work is concerned with the problem of motionplanning for a group of nonholonomic robots under Visible Light Communication (VLC) connectivit yrequirements. Recently, multi-robot systems operating with VLC networks have b een demonstrated as anattractive solution for inspection tasks in pipelines and underground facilities.”

    Data from Canakkale Onsekiz Mart University Broaden Understanding of Machine Lea rning (Delamination and thrust force analysis in GLARE: Influence of tool geomet ry and prediction with machine learning models)

    15-15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 from Canakkale Onseki z Mart University by NewsRx journalists, research stated, “The multilayered(fi ber/metal) structure of glass fibre aluminium reinforced epoxy (GLARE) makes it difficult toobtain acceptable damage-free holes that meet aerospace standards.”

    Researchers at Polytechnic University of Catalonia Report New Data on Boltzmann Machines (Learning Restricted Boltzmann Machines With Pattern Induced Weights)

    16-16页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Boltzmann Machine s are discussed in a new report. Accordingto news originating from Barcelona, S pain, by NewsRx correspondents, research stated, “Restricted BoltzmannMachines are energy-based models capable of learning probability distributions. In practi ce, though,it is seriously limited by the fact that the computational cost asso ciated with the exact evaluation of thegradients, required during learning, is prohibitively high.”

    First Affiliated Hospital of Soochow University Reports Findings in Lobectomy (S ingle-port robot-assisted thoracoscopic right lower bronchial sleeve lobectomy u tilizing the Shurui single-port robotic system)

    17-17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 - Lobectomy is the subject of a report. According to newsreporting originating in Suzhou, Peo ple’s Republic of China, by NewsRx journalists, research stated,“Sleeve lobecto my has solidified its position as a preferred alternative to pneumonectomy due t o itssignificant advantage in preserving lung function, whereas right lower lob e sleeve lobectomy remainsrelatively uncommon because of the higher technical c hallenge. With the development of minimallyinvasive technology and experience a cquired over the years, robot-assisted thoracoscopic surgery (RATS)has shown pr ogress and distinct advantages compared to the traditional thoracotomy and video -assistedthoracoscopic surgery (VATS) approach.”

    Researchers at Chinese Academy of Sciences Release New Data on Machine Learning (A Gsd-driven Approach To Deriving Stochastic Soil Strength Parameters Under Hyb rid Machine Learning Models)

    18-18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, “The quantificationof s oil strength parameters is a crucial prerequisite for constructing physical mode ls relatedto hydro-geophysical processes. However, due to ignoring soil spatial variability at different scales, traditionalparameter assignment strategies, s uch as assigning values depending on land use classification orother classifica tion systems, as well as those extrapolation and interpolation methods, are insu fficient forphysical process modelling.”

    Researcher at Nanjing Forestry University Has Published New Data on Machine Lear ning (Maize Kernel Broken Rate Prediction Using Machine Vision and Machine Learn ing Algorithms)

    19-20页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Research findings on artificial intelligence are discussed in a new report. According to news reporting from Nanjing, People’s Re public of China, by NewsRx journalists, research stated, “Rapid online detectionof broken rate can effectively guide maize harvest with minimal damage to preve nt kernel fungal damage.”Financial supporters for this research include Natural Science Foundation of Jia ngsu Province; ChinaPostdoctoral Science Foundation; National Natural Science F oundation of China.

    Bauman Moscow State Technical University Reports Findings in Machine Learning (M achine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review )

    19-19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 newsoriginating from Moscow, Russia, by New sRx correspondents, research stated, “The integration of machinelearning (ML) i nto material manufacturing has driven advancements in optimizing biopolymer prod uctionprocesses. ML techniques, applied across various stages of biopolymer pro duction, enable the analysisof complex data generated throughout production, id entifying patterns and insights not easily observedthrough traditional methods. ”