查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting from Andhra Pradesh, India, by NewsRx journalists, research stated, “This work presents anin-depth systemat ic literature review of privacy-preserving machine learning techniques for batte ry Stateof Health (SoH) prediction in electric vehicles (EVs). Our review metho dically analyses a corpus of 43research articles and publications spanning from 2012 to 2024 which provides a comprehensive landscapeof the field’s evolution and current trends.”
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. Accordingto news reporting out of Xi’an, People’s Republic of China, by NewsRx editors, research stated, “Particleentrai nment is an inevitable phenomenon in pipeline systems, especially during the dev elopment andextraction phases of oil and gas wells. Accurately predicting the c ritical velocity for particle transport is akey focus for implementing effectiv e sand control management.”
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 originating from Wars aw, Poland, by NewsRx correspondents, research stated, “Theletter presents a de dicated method for recognizing human postures using classification and clusterin goptions. The ultimate goal of the research is to recognise human actions based on posture sequences.”
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 originating in Mannheim, Ge rmany, by NewsRx journalists, research stated, “Predicting students’problem-sol ving success in computer-based simulations at an early stage allows adaptive edu cationalsystems to provide learners with personalized support. In this paper, w e predict students’ problem-solvingsuccess by applying a machine-learning model , the random forest, to produce a binary classification (morevs. less successfu l students).”
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 Yuriy Fedkovych Chernivtsi National University by NewsRx journalists, research stated,“The arti cle analyzes the use of artificial intelligence in various types of digital art at the current level oftheir development and outlines the possibilities of exte rnal ways of such interaction. The author considersspecific artistic examples, which see that the use of artificial intelligence in art develops a complex art historyand philo-sophical questions: what is art? how does computer technology change aesthetics? where is theline between technology and creativity? who is c onsidered the author of the work generated by neuronets?is it possible to compa re anthropocentric and non-anthropocentric forms of creativity? etc.”
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 report. According tonews originating from Toronto, Canada , by NewsRx correspondents, research stated, “Determine if alarge language mode l (LLM, GPT-4) can label and consolidate and analyze interventional radiology (IR) microwave ablation device safety event data into meaningful summaries similar to humans. Microwaveablation safety data from January 1, 2011 to October 31, 2 023 were collected and type of failure wascategorized by human readers.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting from Haryana, India, by News Rx journalists, research stated, “Machine learning algorithms arecrucial for en ergy transition and climate change system resilience. This paper presents the es sential issueof improved microgrid resilience after catastrophes, with a focus on the Root Mean Square Error (RMSE)assessment metric.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingfrom Guangzhou, People’s Republic o f China, by NewsRx journalists, research stated, “Repetitive motionplanning (RM P), obstacle avoidance (OA), and joint-limit avoidance (JLA) are essential for e nsuringthe positioning accuracy and safe operations of joint-constrained redund ant robots during cyclical tasks.This article first establishes a position-leve l RMPOA- JLA scheme, which is eventually reformulated as ageneral quadratic pro gramming (QP) problem involving nonlinear constraints.”
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 have been presented. According to news reportingout of Maceio, Brazil, by NewsRx ed itors, research stated, “Safe drinking water is an essential resource anda fund amental human right, but its access continues beyond billions of people, posing numerous healthrisks. A key obstacle in monitoring water quality is managing an d analyzing extensive data.”
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 artificial intelligence. According to news reportingout of Allameh Tabatabai Un iversity by NewsRx editors, research stated, “Selection and allocation in there silient supply chain, when disruption threatens the supply chain, has become a s trategic decision and the focus of many researches; increase in the applications of machine learning in supply chain studies hasled to the emergence of faster and reliable decision-making methods, however, in few studies, machinelearning has been used to deal with the problem of selecting and assigning suppliers to c ustomers inresilient mode.”
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