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 reporting out of Sao Jose dos Campos, Brazil, by NewsRx editors, research stated, “The dynamics of gravitational sedi mentation in water treatment are crucial for optimising particulate matter remov al. This study addresses the effect of fractal aggregate features on settling ve locity and explores fuzzy machine learning (ML) for predicting this phenomenon.” Funders for this research include Coordenacao de Aperfeicoamento de Pessoal de N ivel Superior (CAPES), Conselho Nacional de Desenvolvimento Cientifico e Tecnolo gico (CNPQ), Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been pr esented. According to news reporting originating in Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “Plenty of local interaction mech anisms have been proposed to achieve collective behaviors in swarm robotics. How ever, these mechanisms require robots to explicitly obtain the velocity of their neighbors as the sensory input to make motion decisions.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news originating from the Ghulam Ishaq Khan Institute by NewsRx editors, the research stated, “The complex linguistic c haracteristics and limited resources present sentiment analysis in Roman Urdu as a unique challenge, necessitating the development of accurate NLP models.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news originating from Shaanxi, Peopl e’s Republic of China, by NewsRx correspondents, research stated, “Once a critic al node is destroyed, the interdependent network is prone to experience severe c ascading failure. Due to the coupling, traditional methods are challenging to ap ply to interdependent networks.” Financial support for this research came from Major Program of National Fund of Philosophy and Social Science of China.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on Machine Learning is now available. According to news reporting out of Lucknow, India, by NewsRx editors, research stated, “Unmanned Aerial Vehicle (UAV) remote sensing in precision agriculture ( PA) is a promising technique for managing crop inputs. The high spatial-resoluti on data enables extensive examination of the crop canopy, including identifying low-chlorophyll patches for initiating prophylactic measures as early as possibl e.” Financial support for this research came from CSIR HRDG (CSIR-SRF) CSIR Aroma Mi ssion.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating from Changsha, P eople’s Republic of China, by NewsRx correspondents, research stated, “Detecting soil arsenic (As) contamination is crucial for designing efficient soil remedia tion strategies; however, traditional laboratory-based As detection techniques a re time- and labour-intensive and are unsuitable for large-scale spatial analyse s. To address this issue, we combined machine learning (ML) with visible-near-in frared (vis-NIR) spectroscopy to develop an efficient framework for As detection in soil.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Machine Learning have been prese nted. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “The thorough investigation i nto the evolution of concrete performance under sulfate attack environments hold s significant importance for engineering applications in specific conditions. In this paper, a prediction model for the two evaluation indexes of sulfate attack resistance of concrete (SARC), namely compressive strength corrosion resistance coefficient and mass loss rate, is established based on four machine-learning a lgorithms: Support Vector Regression, Random Forest Regression, Gradient Boostin g, and Extreme Gradient Boosting (XGB).”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on . According to news reporting originating from the University of Rouen Normandie b y NewsRx correspondents, research stated, “ABSTRACT: This paper presents a novel approach to pollution assessment by investigating support vector machines (SVM) with an uncertainty option to overcome the limitations of traditional kriging. While kriging is a major tool for geostatistical modelling, allowing to estimate the distribution of contaminants in a region from a small set of samples, it do es not allow to extract also the uncertainty map.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Robotics - Robotics and Automatio n is the subject of a report. According to news originating from Leuven, Belgium , by NewsRx correspondents, research stated, “This letter introduces an efficien t O(n) compute and memory complexity algorithm for globally optimal path plannin g on 2D Cartesian grids. Unlike existing marching methods that rely on approxima te discretized solutions to the Eikonal equation, our approach achieves exact wa vefront propagation by pivoting the analytic distance function based on visibili ty.” Financial support for this research came from Flanders Make’s SBO project ARENA (Agile & REliable NAvigation).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics - Robotics and Automation is now available. According to news reporting originating from Guang zhou, People’s Republic of China, by NewsRx correspondents, research stated, “Th e excellent swimming ability of fish provides a new solution for the design of u nderwater propellers. However, there is a lack of optimization schemes for the s tructure and performance of the continuum driving fish-like propeller.”
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