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 - Art ificial Intelligence is the subject of a report. According to news originating from Montreal, Canada, by NewsRx correspondents, research stated, “Imbalanced dat asets pose challenges for developing accurate seizure detection systems based on electroencephalogram (EEG) data. Generative AI techniques may help augment minority class data to facilitate automatic epileptic seizure 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 Machine Learning is the subject of a report. According to news reporting from Nanjing, People’s Republic of China, by NewsRx journalists, research stated, “The existing performance e valuation process of constructed wetlands (CWs) is complex, with shortcomings in both simplification of method and construction of simulation model, especially for low-efficiency CWs (LECWs, with an average close-degree calculated by the en tropy weight method being <0.6). This study presents a case study of LECWs in the Ningxia region (comprising 13 subsurface flow constructed wetlands (SSF CWs) and 7 surface flow constructed wetlands (SF CWs)), employs the entropy weight method (EWM) to construct an evaluation of CW operational effi ciency, simplifies evaluation indicators through principal component analysis (P CA), develops two random forest (RF) models to validate the rationality of the s implified indicators, and establishes simulation models by logistic regression ( LR).”
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 is the subjec t of a report. According to news originating from Pasadena, California, by NewsR x correspondents, research stated, “Soft robotics presents innovative solutions across different scales. The flexibility and mechanical characteristics of soft robots make them particularly appealing for wearable and implantable applications.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on robotics is now availab le. According to news originating from Changzhou, People’s Republic of China, by NewsRx editors, the research stated, “This article investigates the limitations associated with traditional wheel-type pipeline walking devices, which are char acterized by a single movement mode and an inability to navigate complex or irre gular pipeline structures.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Breast Canc er is the subject of a report. According to news reporting out of Madrid, Spain, by NewsRx editors, research stated, “Breast Cancer (BC) poses significant chall enges in treatment decision-making. Multiple first treatment lines are currently available, determined by several patient-specific factors that need to be consi dered in the decision-making process.”
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 is the subjec t of a report. According to news reporting from Stanford, California, by NewsRx journalists, research stated, “Robot in-hand manipulation is an important skill for robots to carry out sophisticated tasks that require moving the grasped obje ct within hand.” Financial support for this research came from Toyota Research Institute.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Transportat ion - Intelligent Transport Systems. According to news reporting out of Shanghai, People’s Republic of China, by NewsRx editors, research stated, “To improve the application range of decision-making systems for connected automated vehicles, this paper proposes a cooperative decision-making approach for multiple driving scenarios based on the combination of multi-agent reinforcement learning with c entralized planning. Specifically, the authors derived driving tasks from drivingscenarios and computed the policy functions for different driving scenarios as linear combinations of policy functions for a set of specific driving tasks.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Lung Diseases and Cond itions - Idiopathic Pulmonary Fibrosis is the subject of a report. According to news reporting originating from Taiyuan, People’s Republic of China, by NewsRx c orrespondents, research stated, “Idiopathic pulmonary fibrosis (IPF) is a severe interstitial lung disease characterized by a grim prognosis, in which various f orms of cell death are significant contributors to its development. The objectiv e of this study is to explore diagnostic biomarkers and molecular subtypes assoc iated with PANoptosis in IPF, and to develop reliable diagnostic models based on PANoptosis-related mechanisms.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented in a new report. According to news reporting originating in Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “We in this paper prese nt, an RFID-based sensing system that supports miniature robots to perform agile tasks in everyday environments. ‘s unique capability is that it uses a single a rbitrarily-deployed antenna to locate a target with sub-cm-level accuracy and id entify its orientation to within few degrees. Compared withexisting solutions w hich rely on either antenna arrays or multiple RFID readers, is cheap, compact, and applicable to miniature robots.”
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 Machine Learning. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Aiming for high sensitivity and satisf ying transmission loss, intelligent optimization methods involving machine Learning are worthwhile to apply for optical pressure sensor development since machin e learning is versatile enough to correlate the complex and nonlinear relationsh ip between device performance and sensor structural parameters. This article proposes a three-stage framework to conduct the optimal design of an optical pressure sensor facing multiple optimization objectives.”
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