查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Digestive System Disea ses and Conditions - Acute Appendicitis is the subject of a report. According to news reporting from Istanbul, Turkey, by NewsRx journalists, research stated, “ Acute Appendicitis (AA) is one of the most common surgical emergencies worldwide . This study aims to investigate the predictive performances of 6 different Mach ine Learning (ML) algorithms for simple and complicated AA.”
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 robotic s. According to news reporting out of the Tokyo Institute of Technology by NewsR x editors, research stated, “A model-based controller is effective for highly ac curate and fast control of a robot.” Our news journalists obtained a quote from the research from Tokyo Institute of Technology: “The dynamics model is derived from its equations of motion, and the minimum set of the dynamics parameters are experimentally identified. However, the experimental data includes the influence of both noise and un-modeled dynami cs, the obtained model will be one of approximated solutions. From these conside rations, the approximated model has to well represent the robot dynamics around the reference motion, and for high accuracy, new data needs to be added every ti me an experiment is conducted, which causes a lot of computation. The authors ha ve proposed stochastic identification method to obtain suitable parameters for c ontrol system design. However, in this method, because of computational complexi ty of weighted least square mean, it is difficult to add new motion data. In thi s paper, we propose a sequentially updating parameter identification method base d on statistical properties of the conventional method.”
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 - Sup port Vector Machines is the subject of a report. According to news reporting ori ginating in Guangxi, People’s Republic of China, by NewsRx journalists, research stated, “To explore the value of machine learning (ML) models based on contrast -enhanced cone-beam breast computed tomography (CE-CBBCT) radiomics features for the preoperative prediction of human epidermal growth factor receptor 2 (HER2)- low expression breast cancer (BC). Fiftysix patients with HER2-negative invasiv e BC who underwent preoperative CE-CBBCT were prospectively analyzed.”
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 originating from Yibin, Peopl e’s Republic of China, by NewsRx correspondents, research stated, “In order to p rovide decision-making support for the auxiliary diagnosis and individualized tr eatment of calculous pyonephrosis, the study aims to analyze the clinical featur es of the condition, investigate its risk factors, and develop a prediction mode l of the condition using machine learning techniques. A retrospective analysis w as conducted on the clinical data of 268 patients with calculous renal pelvic ef fusion who underwent ultrasonography-guided percutaneous renal puncture and drai nage in our hospital during January 2018 to December 2022.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Artificial Intelligen ce have been presented. According to news originating from Beijing, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Despite the recogniz ed potential of artificial intelligence (AI) to improve governance, a significan t divide in AI adoption exists among governments globally. However, little is kn own about the underlying causes behind the divide, hindering effective strategie s to bridge it.” Financial supporters for this research include National Science and Technology M ajor Project, Tsinghua University independent research program, China Postdoctor al Science Foundation, Beijing Innovation Center of Humanities and Social Scienc es.
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 Wichita, Kansas, by NewsRx journalis ts, research stated, “The accurate and reliable prediction of enhanced heat tran sfer performance of micro -structured surfaces is crucial to optimally design an d operate pool boiling systems. However, the existing empirical models predict t he enhanced pool boiling heat transfer with very large errors up to +/- 81 % even using the experimental data from the same study, mainly due to the complex nature of the pool boiling processes.” Financial supporters for this research include National Science Foundation (NSF) , Wichita State University Convergence Sciences Initiative Program, College of E ngineering, Wichita State University.
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 Boltzmann Machines. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Time series data prediction i s crucial in system control, social management, and economic production. For the complex features of time series data and the massive amount of arithmetic in de ep learning, a novel network model is proposed based on the broad learning archi tecture to handle time series prediction tasks.” Funders for this research include National Key Research and Development Program of China, MOE (Ministry of Education in China) Project of Humanities and Social Sciences, National Natural Science Foundation of China (NSFC).
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 out of Pasadena, California, by NewsRx edit ors, research stated, “Understanding terrain topology at long-range is crucial f or the success of off-road robotic missions, especially when navigating at high- speeds. LiDAR sensors, which are currently heavily relied upon for geometric map ping, provide sparse measurements when mapping at greater distances.” Financial support for this research came from California Institute of Technology at the Jet Propulsion Laboratory.
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 Worcester, Massachusetts, by NewsRx e ditors, research stated, “This letter presents a general approach for autonomous tight-clearance assembly of complex-shaped parts using a general-purpose robot manipulator equipped with a force/torque (F/T) sensor. Such autonomous assembly is challenging in the presence of relative part pose uncertainty due to inaccura cies in part and robot modeling, sensing and perception, and robot motion contro l, especially when this uncertainty exceeds the clearance between assembly compo nents.” Financial support for this research came from US Army DEVCOM Analysis Center.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news reporting from Yantai, People’s Republic of China, by NewsRx journalists, research stated, “Utilization of machine learning techni ques in the analysis and enhancement of poly-generation energy systems improves their efficiency and sustainability. Also, waste-to-energy systems propose a hop eful answer for both waste management and sustainable energy and water productio n.” Financial support for this research came from King Saud University.
NETL
NSTL