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 from Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “This paper focuses on the finite-time control (FTC) of the composite formation consensus (CFC) problems for multi-Robot systems (MRSs). The CFC problems are firstly proposed for MRSs under the compl ex network topology of cooperative or cooperative-competitive networks.”
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 out of Quzhou, People’s Republic of China, by NewsRx edit ors, research stated, “The early prediction of cerebral edema changes in patient s with spontaneous intracerebral hemorrhage (SICH) may facilitate earlier interv entions and result in improved outcomes. This study aimed to develop and validat e machine learning models to predict cerebral edema changes within 72 h, using readily available clinical parameters, and to identify relevant influencing factors.”
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 reporting originating from Jeddah, Saud i Arabia, by NewsRx correspondents, research stated, “Despite the increasing use of artificial intelligence (AI) in medicine, research into the knowledge and at titudes of medical experts toward AI is limited. This study aimed to assess phys icians’ attitudes and perceptions of AI applications in healthcare. A cross-sect ional study was conducted at the College of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia between November 1 and December 20, 2023.”
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 Machine Learning is now available. According to news reporting from Chengdu, People’s Republic of China, by NewsRx journalists, research stated, “Potassium sodium niobate (KNN)-based lead-free piezoelectric ceramics have attracted significant attention due to the remarkable electrical properties and high Curie temperature. However, the conve ntional trial-and-error approach for identifying optimal doping combinations to enhance their performance is inefficient and expensive.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligence is the subject of a report. According to news originating from Beijing, People ’s Republic of China, by NewsRx correspondents, research stated, “Treatment plan ning for chronic diseases is a critical task in medical artificial intelligence, particularly in traditional Chinese medicine (TCM). However, generating optimiz ed sequential treatment strategies for patients with chronic diseases in different clinical encounters remains a challenging issue that requires further exploration.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of a report. According to news reporting or iginating from London, United Kingdom, by NewsRx correspondents, research stated, “Nosocomial infections and Antimicrobial Resistance (AMR) stand as formidable healthcare challenges on a global scale. To address these issues, various infect ion control protocols and personalized treatment strategies, guided by laborator y tests, aim to detect bloodstream infections (BSI) and assess the potential for AMR.”
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 Intelligence have been presented. According to news originating from Luoyang, People’s Republic of China, by NewsRx correspondents, research stated, “In materials genetic engineering, data-driven machine learning techniques have garnered significant attention as a powerful new tool in the field of magnesium alloys. Traditional e mpirical trial-and-error methods and those based on density functional theory ha ve struggled to keep pace with the continuous advancements in material science n eeds owing to high time costs and low efficiency.”
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 Intelligence have been presented. According to news reporting from Chicago, Illinois, by N ewsRx journalists, research stated, “Early diagnostic uncertainty for infection causes delays in antibiotic administration in infected patients and unnecessary antibiotic administration in noninfected patients. To develop a machine learning model for the early detection of untreated infection (eDENTIFI), with the prese nce of infection determined by clinician chart review.”
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 - Subarachnoid Hemorrhage is the subject of a report. A ccording to news reporting out of Linz, Austria, by NewsRx editors, research sta ted, “Chronic posthemorrhagic hydrocephalus often arises following spontaneous s ubarachnoid hemorrhage (SAH). Timely identification of patients predisposed to d evelop chronic shuntdependent hydrocephalus may significantly enhance clinical outcomes.”
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 Support Vector Machines is now available. According to news reporting from Jharkhand, India, by NewsRx journalists, research stated, “The prediction of rock fragmentation (Fr) is high ly beneficial to the optimization of blasting operations in the mining industry. The characteristics of the rock mass, the blast geometry, and the explosive qua lities are the primary elements influencing Fr.”
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