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 originating in Heidelberg, Germany, by NewsRx journalists, research stated, “Microfluidic tools enable to i nvestigate and manipulate various chemical and biological processes at small sca les. As a result, it finds widespread applications in lab-on-chip devices, drug delivery systems, or miniaturized cell cultures.” Financial supporters for this research include Deutsche Forschungsgemeinschaft, Ministerium fur Wissenschaft, Forschung und Kunst Baden-Wurttemberg.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Research findings on artificial intell igence are discussed in a new report. According to news originating from Jerusal em, Israel, by NewsRx correspondents, research stated, “The most reliable method s for pregnancy diagnosis in dairy herds include rectal palpation, ultrasound ex amination, and evaluation of plasma progesterone concentrations. However, these methods are expensive, labor-intensive, and invasive.” Financial supporters for this research include Israeli Chief Scientist of Agricu lture.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - New research on Machine Learning is th e subject of a report. According to news reporting out of Beijing, People’s Repu blic of China, by NewsRx editors, research stated, “Lysine bhydroxybutyrylation is an important post-translational modification (PTM) involved in various physi ological and biological processes. In this research, we introduce a novel predic tor KbhbXG, which utilizes XGBoost to identify b-hydroxybutyrylation modificatio n sites based on protein sequence information.”
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 re mote sensing. According to news reporting from Tehran, Iran, by NewsRx journalis ts, research stated, “Reliable and up-to-date training reference samples are imp erative for land cover (LC) classification. However, such training datasets are not always available in practice.” The news correspondents obtained a quote from the research from University of Te hran: “The sample migration method has shown remarkable success in addressing th is challenge in recent years. This work investigated the application of Sentinel -1 (S1) and Sentinel-2 (S2) data in training sample migration. In addition, the impact of various spectral bands and polarizations on the accuracy of the migrat ed training samples was also assessed. Subsequently, combined S1 and S2 images w ere classified using the Support Vector Machines (SVM) and Random Forest (RF) cl assifiers to produce annual LC maps from 2017 to 2021. The results showed a high er accuracy (98.25%) in training sample migrations using both image s in comparison to using S1 (87.68%) and S2 (96.82%) d ata independently. Among the LC classes, the highest accuracy in migrated traini ng samples was found for water, built-up, bare land, grassland, cropland, and we tland.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - New research on artificial intelligenc e is the subject of a new report. According to news reporting from Hong Kong Bap tist University by NewsRx journalists, research stated, “Depression, a significa nt psychiatric disorder, affects individuals’ physical well-being and daily func tioning.” Our news correspondents obtained a quote from the research from Hong Kong Baptis t University: “This focused analysis provides a comprehensive exploration of con temporary research conducted between 2012 and 2023 that delves into the utilizat ion of sophisticated machine learning methodologies aimed at identifying correla tes of depression within social media content. Our study meticulously dissects v arious data sources and performs a comprehensive examination of different machin e learning algorithms cited in the researched articles and literature, aiming to pinpoint an approach that can enhance detection accuracy.”
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 reporting out of Athens, Greece , by NewsRx editors, research stated, “Load shapes derived from smart meter data are frequently employed to analyze daily energy consumption patterns, particula rly in the context of applications like Demand Response (DR). Nevertheless, one of the most important challenges to this endeavor lies in identifying the most s uitable consumer clusters with similar consumption behaviors.”
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 artificial in telligence have been published. According to news originating from Puerto Real, Spain, by NewsRx correspondents, research stated, “The intensity of the odor in food-grade paraffin waxes is a pivotal quality characteristic, with odor panel r atings currently serving as the primary criterion for its assessment.” Our news journalists obtained a quote from the research from University of Cadiz : “This study presents an innovative method for assessing odor intensity in food -grade paraffin waxes, employing headspace gas chromatography with mass spectrom etry (HS/GC-MS) and integrating total ion spectra with advanced machine learning (ML) algorithms for enhanced detection and quantification. Optimization was con ducted using Box-Behnken design and response surface methodology, ensuring preci sion with coefficients of variance below 9%. Analytical techniques, including hierarchical cluster analysis (HCA) and principal component analysis (PCA), efficiently categorized samples by odor intensity. The Gaussian support v ector machine (SVM), random forest, partial least squares regression, and suppor t vector regression (SVR) algorithms were evaluated for their efficacy in odor g rade classification and quantification.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - New research on Cerebrovascular Diseas es and Conditions - Stroke is the subject of a report. According to news reporti ng originating in Zigong, People’s Republic of China, by NewsRx journalists, res earch stated, “To explore degree centrality (DC) abnormalities in ischemic strok e patients and determine whether these abnormalities have potential value in und erstanding the pathological mechanisms of ischemic stroke patients. Sixteen isch emic stroke patients and 22 healthy controls (HCs) underwent resting state funct ional magnetic resonance imaging (rs-fMRI) scanning, and the resulting data were subjected to DC analysis.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - New research on Robotics - Robotics an d Automation is the subject of a report. According to news reporting originating in Cardiff, United Kingdom, by NewsRx journalists, research stated, “The curve skeleton is known to geometric modeling and computer graphics communities as one of the shape descriptors which intuitively indicates the topological properties of the objects. In recent years, studies have also suggested the potential of a pplying curve skeletons to assist robotic reasoning and planning.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Investigators discuss new findings in civil engineering. According to news originating from Guangdong, People’s Republ ic of China, by NewsRx correspondents, research stated, “The recognition and reg ulation of buildings are essential aspects of urban management to prevent illega l constructions and maintain public safety and resources. Traditional machine le arning methods for building recognition often suffer from low accuracy and weak generalization capabilities due to their reliance on manually designed features. ”
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