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 - Support Vector Machines have beenpublished. According to news reporting o riginating from Beijing, People’s Republic of China, by NewsRxcorrespondents, r esearch stated, “The accurate identification of pipeline leakage apertures is cr ucialfor safeguarding the environment and conserving resources. This article pr oposes a novel approach foridentifying pipeline leakage apertures through the f usion of convolutional neural network and supportvector machine (CNN-SVM).”
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 - Support Vector Machines have beenpublished. According to news reporting o riginating from Beijing, People’s Republic of China, by NewsRxcorrespondents, r esearch stated, “The accurate identification of pipeline leakage apertures is cr ucialfor safeguarding the environment and conserving resources. This article pr oposes a novel approach foridentifying pipeline leakage apertures through the f usion of convolutional neural network and supportvector machine (CNN-SVM).”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Artific ial Intelligence. According to news originatingfrom Los Angeles, California, by NewsRx correspondents, research stated, “This cross-sectional studyassessed a generative artificial intelligence platform to automate the creation of accurate , appropriate, andcompelling social media (SoMe) posts from urological journal articles. One hundred SoMe posts from thetop 3 journals in urology X (formerly Twitter) profiles were collected from August 2022 to October 2023.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Artific ial Intelligence. According to news originatingfrom Los Angeles, California, by NewsRx correspondents, research stated, “This cross-sectional studyassessed a generative artificial intelligence platform to automate the creation of accurate , appropriate, andcompelling social media (SoMe) posts from urological journal articles. One hundred SoMe posts from thetop 3 journals in urology X (formerly Twitter) profiles were collected from August 2022 to October 2023.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Lung Diseases and Cond itions - Pulmonary Embolism is the subjectof a report. According to news report ing from Hebei, People’s Republic of China, by NewsRx journalists,research stat ed, “Pulmonary embolism (PE) patients combined with heart failure (HF) have been reportedto have a high short-term mortality. However, few studies have develop ed predictive tools of 30-daymortality for these patients in intensive care uni t (ICU).”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Lung Diseases and Cond itions - Pulmonary Embolism is the subjectof a report. According to news report ing from Hebei, People’s Republic of China, by NewsRx journalists,research stat ed, “Pulmonary embolism (PE) patients combined with heart failure (HF) have been reportedto have a high short-term mortality. However, few studies have develop ed predictive tools of 30-daymortality for these patients in intensive care uni t (ICU).”
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 - Computational Intelligence.According to news reporting origina ting in Changsha, People’s Republic of China, by NewsRx journalists,research st ated, “Cooperative multi-agent reinforcement learning (MARL) has emerged as an e ffectivetool for addressing complex control tasks. However, sparse team rewards present significant challengesfor MARL, leading to low exploration efficiency, slow learning speed, and homogenized behaviors amongagents.”
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 - Computational Intelligence.According to news reporting origina ting in Changsha, People’s Republic of China, by NewsRx journalists,research st ated, “Cooperative multi-agent reinforcement learning (MARL) has emerged as an e ffectivetool for addressing complex control tasks. However, sparse team rewards present significant challengesfor MARL, leading to low exploration efficiency, slow learning speed, and homogenized behaviors amongagents.”
查看更多>>摘要：The following quote was obtained by the news editors from the background informa tion supplied by theinventors: “Identifying and tracking objects within a space poses several technical challenges. For example,Identifying different features of an item that can be used to later identify the item in an image is computationally intensive when the image includes several items. This process may involve identifying an individualitem within the image and then comparing the features for an item against every item in a database thatmay contain thousands of item s. In addition to being computationally intensive, this process requires asigni ficant amount of time which means that this process is not compatible with real- time applications.This problem becomes intractable when trying to simultaneousl y identify and track multiple items.”
查看更多>>摘要：The following quote was obtained by the news editors from the background informa tion supplied by theinventors: “Identifying and tracking objects within a space poses several technical challenges. For example,Identifying different features of an item that can be used to later identify the item in an image is computationally intensive when the image includes several items. This process may involve identifying an individualitem within the image and then comparing the features for an item against every item in a database thatmay contain thousands of item s. In addition to being computationally intensive, this process requires asigni ficant amount of time which means that this process is not compatible with real- time applications.This problem becomes intractable when trying to simultaneousl y identify and track multiple items.”
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