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 Ro botics. According to news reporting originating from Stanford, California, by Ne wsRx correspondents, research stated, “Caves and lava tubes on the Moon and Mars are sites of geological and astrobiological interest but consist of terrain tha t is inaccessible with traditional robot locomotion. To support the exploration of these sites, we present ReachBot, a robot that uses extendable booms as appen dages to manipulate itself with respect to irregular rock surfaces.”
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 Robotics - Ro botics and Automation have been published. According to news reporting originati ng from Kanpur, India, by NewsRx correspondents, research stated, “Autonomous ae rial harvesting is a highly complex problem because it requires numerous interdi sciplinary algorithms to be executed on mini low-powered computing devices. Obje ct detection is one such algorithm that is compute-hungry.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Data detailed on remote sensing have b een presented. According to news reporting out of Lages, Brazil, by NewsRx edito rs, research stated, “The Brazilian Atlantic Rainforest presents great diversity of flora and stand structures, making it difficult for traditional forest inven tories to collect reliable and recurrent information to classify forest successi on stages. In recent years, remote sensing data have been explored to save time and effort in classifying successional forest stages.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - New research on Nervous System Disease s and Conditions - Headache is the subject of a report. According to news report ing from Trondheim, Norway, by NewsRx journalists, research stated, “We aimed to develop the first machine learning models to predict citation counts and the tr anslational impact, defined as inclusion in guidelines or policy documents, of h eadache research, and assess which factors are most predictive. Bibliometric dat a and the titles, abstracts, and keywords from 8600 publications in three headac he-oriented journals from their inception to 31 December 2017 were used.”
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 reporting from Daqing, People’ s Republic of China, by NewsRx journalists, research stated, “A growing number o f large data sets have created challenges for the oil and gas industry in predic ting reservoir parameters and assessing well productivity through efficient and cost-effective techniques. The design of drilling plans for a high-pressure tigh t-sand reservoir requires accurate estimations of pore pressure (Pp) and reservo ir parameters.”
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 have been publish ed. According to news reporting out of Liaoning, People’s Republic of China, by NewsRx editors, research stated, “This study investigated the physicochemical an d flavor quality changes in fresh-cut papaya that was stored at 4 °C.” The news journalists obtained a quote from the research from Shenyang Agricultur al University: “Multivariate statistical analysis was used to evaluate the fresh ness of fresh-cut papaya. Aerobic plate counts were selected as a predictor of f reshness of fresh-cut papaya, and a prediction model for freshness was establish ed using partial least squares regression (PLSR), and support vector machine reg ression (SVMR) algorithms. Freshness of fresh-cut papaya could be well distingui shed based on physicochemical and flavor quality analyses. The aerobic plate cou nts, as a predictor of freshness of fresh-cut papaya, significantly correlated w ith storage time. The SVMR model had a higher prediction accuracy than the PLSR model.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - New research on Pregnancy Complication s - Ectopic Pregnancy is the subject of a report. According to news reporting or iginating from Philadelphia, Pennsylvania, by NewsRx correspondents, research st ated, “The use of multiplexed biomarkers may improve the diagnosis of normal and abnormal early pregnancies. In this study we assessed 24 markers with multiple machine learning-based methodologies to evaluate combinations of top candidates to develop a multiplexed prediction model for identification of 1) viability and 2) location of an early pregnancy.”
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 ne ural computation. According to news originating from Washington University by Ne wsRx correspondents, research stated, “A key question in the neuroscience of mem ory encoding pertains to the mechanisms by which afferent stimuli are allocated within memory networks.”
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 originating from H arbin, People’s Republic of China, by NewsRx correspondents, research stated, “W ith the increasing application of artificial intelligence (AI) techniques in the field of structural health monitoring (SHM), there is a growing interest in exp laining the decision-making of the black-box models in deep learning-based SHM m ethods.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - New research on Support Vector Machine s is the subject of a report. According to news reporting originating in Nanjing , People’s Republic of China, by NewsRx journalists, research stated, “In this w ork, visible and near-infrared ‘point’ (Vis-NIR) spectroscopy and hyperspectral imaging (Vis- NIR-HSI) techniques were applied on three different apple cultivars to compare their firmness prediction performances based on a large intra-variab ility of individual fruit, and develop rapid and simple models to visualize the variability of apple firmness on three apple cultivars. Apples with high degree of intra-variability can strongly affect the prediction model performances.”
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