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 from Shanghai, People’s Repub lic of China, by NewsRx journalists, research stated, “Robot skill autonomous le arning is a long-standing goal in robotics. However, for long-horizon tasks comm on in robotic applications, it is very challenging to achieve autonomous learnin g from scratch due to the long decision horizon and the high-dimensional continu ous search space.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on robotics is the subject of a new report. According to news reporting out of Liaoning, People’s Republic of China, by NewsRx editors, research stated, “Ship cleaning poses significant risks and consumes considerable time, primarily due to the irregular hull surface geometry and the unpredictable ship motion induced by wave excitation.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning - Compu tational Intelligence have been published. According to news originating from Wu xi, People’s Republic of China, by NewsRx correspondents, research stated, “Due to the existence of noise and/or uncertainty in available sleep-wake stage data, recognition of sleep-wake stages with an efficient feature extraction has been facing the following challenges: (1) how to handle these uncertainties; (2) how to have interpretable recognition; (3) how to make recognition of sleep-wake sta ges to have good testing performance (i.e., generalization capability). To circu mvent these three challenges, a deep Takagi-Sugeno-Kang (TSK) fuzzy classifier with random rule heritage called Drrh-TSK-FC is proposed for recognition of sleep -wake stages by integrating enhanced generalization capability of deep structure in fully excavating sleep information hidden in sleep stage data, together with the excellence of fuzzy classifiers in handling uncertainty and providing inter pretability in this study.”
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 out of the Faculty of Printing by NewsRx edi tors, research stated, “As grasping behaviors in real packaging scenarios are ap t to be influenced by various disturbances, visual grasping prediction systems h ave suffered from the poor robustness and low detection accuracy. In this study, an intelligent robotic grasp framework (RTnet) underpinned by a linear global a ttention mechanism has been proposed to achieve the highly robust robot grasp pr ediction in real packaging factory scenarios.”
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 robotics. According to news reporting out of Wuhan, People’s Republic of China, by NewsRx editors, research stated, “Fires are one of the most dangerous hazards and the leading cause of death in construction sites.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Technology - Imaging Technology is the subject of a report. According to news originating from Sichuan, People’s Republic of China, by NewsRx correspondents, research stated, “Tobacc o is a critical economic crop, yet its cultivation heavily relies on chemical pe sticides, posing health risks to consumers, therefore, monitoring pesticide resi dues in tobacco is conducive to ensuring food safety. However, most current rese arch on pesticide residue detection in tobacco relies on traditional chemical me thods, which cannot meet the requirements for real-time and rapid detection.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Central Nervous System Diseases and Conditions - Cerebral Hemorrhage is the subject of a report. Accor ding to news reporting from Suzhou, People’s Republic of China, by NewsRx journa lists, research stated, “Spontaneous intracerebral hemorrhage is the second most common subtype of stroke. Therefore, this study aimed to investigate the risk f actors affecting the prognosis of patients with basal ganglia cerebral hemorrhag e after neuroendoscopy.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsoriginating from Shanghai, People’ s Republic of China, by NewsRx correspondents, research stated, “Thechub macker el (Scomber japonicus) is one of the most influential small pelagic fish in the NorthwestPacific Ocean, and accurate modeling approaches and model selection ar e critical points in predicting theScomber japonicus fishing grounds.”
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 have been published. According to news reporting originating in Ningbo, People’s Rep ublic of China, by NewsRx journalists, research stated, “Flexible dual mode stra in-temperature sensors that mimic human skin functions are highly desired for we arable devices and intelligent robots. However, integrating dual sensing charact eristics into a single sensor for simultaneous and decoupled strain-temperature detection still remains a challenge.”
查看更多>>摘要：The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “Training robots to accurately perform tasks can use significant memory, time, or computing resources. Sometimes, this can cause training to require extreme amounts of training data, which for some tasks, may be unavailable or prohibitively costly to attain. In some examples, training ma y result in an excessively brittle or unstable system that does not reliably con verge on a solution to a task. Therefore, finding ways to train more effectively and efficiently is an important problem.”
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