查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Robotics and Machine Lea rning have been published. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Accurate and rapi d identification and location of apples contributes to speeding up automation ha rvesting. However, in unstructured orchard environments, it is common for apples to be overlapped and occluded by branches and leaves, which interferes with app le identification and localization.”
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 from Tamil Nadu, India, by N ewsRx journalists, research stated, “Improving the bio-oil yield is a challengin g part in the thermochemical conversion processes of biomass. Implementing suita ble pre-treatment technology to improve the biomass characteristics is an effect ive technique to increase the yield.”
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 in telligent systems. According to news reporting out of Henan, People’s Republic o f China, by NewsRx editors, research stated, “In the context of ‘Internet plus,’ college English-teaching resources are increasingly rich.”
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 Tianjin, People’s Repu blic of China, by NewsRx editors, research stated, “Livestock manure is one of t he most important pools of antibiotic resistance genes (ARGs) in the environment . Aerobic composting can effectively reduce the spread of antibiotic resistance risk in livestock manure.”
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 Machine Learning. According to news reporting out of Hubei, People’s Republic of China, by NewsRx editors, research stated, “Machine learning models are widely applied for vehicular applications, which are essential to future intelligent tr ansportation system (ITS). Traditional model training methods commonly employ a client-server architecture to perform local training and global iterative aggreg ations, which can consume significant bandwidth resources that are often absent in vehicular networks, especially in high vehicle density scenarios.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report. According to news reporting out of Shandong, People’s Rep ublic of China, by NewsRx editors, research stated, “Humanmachine interaction i s a critical component in robotic rehabilitation systems. A mutual learning stra tegy involving both machine- and human -oriented learning has shown improvements in learning efficiency and receptiveness.”
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 ar tificial intelligence. According to news originating from Seoul, South Korea, by NewsRx correspondents, research stated, “The cables are crucial components in t he ensuring safety of the stayed-cable bridges.”
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 from Beijing, People’s Republic of China, b y NewsRx journalists, research stated, “Intelligent inspection robots are widely used in substation patrol inspections to identify potential safety hazards by p atrolling substations and sending back scene images. However, in areas with weak signals, the scene images may not be successfully transmitted, thereby reducing the quality of the robots’ work.”
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 reporting from Akita, Japan, by Ne wsRx journalists, research stated, “This study introduces a novel method for ana lyzing vibration data related to drill bit failure.” Our news journalists obtained a quote from the research from Akita University: “ Our approach combines explainable artificial intelligence (XAI) with convolution al neural networks (CNNs). Conventional signal analysis methods, such as fast Fo urier transform (FFT) and wavelet transform (WT), require extensive knowledge of drilling equipment specifications, which limits their adaptability to different conditions. In contrast, our method leverages XAI algorithms applied to CNNs to directly identify fault signatures from vibration signals. The signals are tran sformed into their frequency components and then employed as inputs to a CNN mod el, which is trained to detect patterns indicative of drill bit failure. XAI alg orithms are then employed to generate attention maps, highlighting regions of in terest in the CNN. By scrutinizing these maps, engineers can identify critical f requencies associated with drill bit failure, providing valuable insights for ma intenance and optimization.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news reporting out of Saint Petersburg State Univ ersity by NewsRx editors, research stated, “In this study, the problem of limite d accuracy of machine learning models using soft logical connectives is investig ated. Such connectives have shown their effectiveness in models with fuzzy initi al data.”
NETL
NSTL