查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New study results on artificial intelligence have been published. According to news originating from Istanbul, Turkey, by NewsRx editors, the research stated, “The design of compounds selectively binding to sp ecific isoforms of histone deacetylases (HDACs) is ongoing research to prevent a dverse side effects. Two of the most studied isoforms are HDAC1 and HDAC6 which are important targets in various disease conditions.” Funders for this research include Scientific Research Projects Units of Istanbul Technical University; Bahcesehir University.
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 intelligenc e is the subject of a new report. According to news originating from King Fahd U niversity of Petroleum and Minerals by NewsRx correspondents, research stated, “ The agricultural sector faces challenges in managing water resources efficiently , particularly in arid regions dealing with water scarcity. To overcome water st ress, treated wastewater (TWW) is increasingly utilized for irrigation purpose t o conserve available freshwater resources.”
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 from Suzhou, People’s Republic of China, by NewsR x journalists, research stated, “Due to the varying working conditions of select ive compliance assembly robot arm (SCARA) robots, there are significant differen ces in data distribution among different machines. As a result, it is challengin g to apply unsupervised methods for cross-machine fault diagnosis.” Financial support for this research came from National Innovation and Developmen t Project of Industrial Internet.
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 from Shenzhen, People’s Republic of China, by NewsRx journalists, research stated, “Pipeline inspections are crucia l to ensure the reliability of the transmission system. However, with the growin g complexity and aging of the pipe system, traditional pipeline inspection robot s struggle to adapt to complex environments with obstacles, cracks, changing cro ss-section, and other challenges.” Financial support for this research came from Shenzhen Science and Technology.
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 Ma chine Learning. According to news reporting originating in Chapel Hill, North Ca rolina, by NewsRx journalists, research stated, “Machine learning in medical ima ging often faces a fundamental dilemma, namely, the small sample size problem. M any recent studies suggest using multi-domain data pooled from different acquisi tion sites/centers to improve statistical power.” Financial supporters for this research include National Institutes of Health (NI H) - USA, Alzheimer’s Disease Neuroimaging Initiative (ADNI).
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 originating from Palo Alto, California, by NewsRx correspondents, research stated, “Innovative tools leveraging artific ial intelligence (AI) and machine learning (ML) are rapidly being developed for medicine, with new applications emerging in prediction, diagnosis, and treatment across a range of illnesses, patient populations, and clinical procedures. One barrier for successful innovation is the scarcity of research in the current lit erature seeking and analyzing the views of AI or ML researchers and physicians t o support ethical guidance.”
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 Machine Learn ing have been published. According to news reporting from Beijing, People’s Repu blic of China, by NewsRx journalists, research stated, “In recent years, the bur geoning data market has witnessed a surge in data exchange, playing a pivotal ro le in augmenting the predictive and decision -making capabilities of machine lea rning. Despite these advancements, persistent concerns surrounding data privacy have resulted in stringent limitations on data sharing and trading.” Financial supporters for this research include National Key R&D Pro gram of China, National Natural Science Foundation of China (NSFC), LiaoNing Rev italization Talents Program, China, Natural Science Foundation of Hebei Province.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Musculoskeletal Diseas es and Conditions - Lower Back Pain is the subject of a report. According to new s reporting from Groningen, Netherlands, by NewsRx journalists, research stated, “Human Assumed Central Sensitization (HACS) is involved in the development and maintenance of chronic low back pain (CLBP). The Central Sensitization Inventory (CSI) was developed to evaluate the presence of HACS, with a cut-off value of 4 0/100.”
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 Artificial Intelligence is now available. According to news reporting originating from Rio de Janeiro, Brazil, by NewsRx correspondents, research stated, “This article proposes a Ligh t Water Small Modular Reactor (LW-SMR) based on the seed -blanket concept with t horium fuel, utilizing Artificial Intelligence (AI) for optimization.” Financial supporters for this research include Conselho Nacional de Desenvolvime nto Cientifico e Tecnologico (CNPQ), Coordenacao de Aperfeicoamento de Pessoal d e Nivel Superior (CAPES), Fundacao Carlos Chagas Filho de Amparo a Pesquisa do E stado do Rio De Janeiro (FAPERJ).
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 Machine Learn ing have been published. According to news reporting from Belgrade, Serbia, by N ewsRx journalists, research stated, “Electric vehicles are emerging as sustainab le transportation solutions worldwide. Inadequate electric vehicle charging stat ions (EVCS) hinder their broader adoption.” Financial support for this research came from University of Pardubice. The news correspondents obtained a quote from the research from the University o f Belgrade, “Optimal EVCS site selection is vital, requiring multicriteria decis ion-making (MCDM) analyses and geographic information systems (GIS). The researc h introduces, for the first time in site selection problems, an innovative metho dology that integrates GIS, machine learning, and MCDM, effectively mapping the suitability of EVCS in urban environments. This study aims to fill the gap in ev aluating EVCS placement in densely urbanized areas by adopting a retrospective a pproach to examine both primary and secondary criteria at existing EVCS sites. F ocusing on Prague - a city with a dense EVCS network - it assesses their suitabi lity using various MCDM techniques, representing a significant advance in optimi zing EVCS distribution. Spatial analysis facilitated criteria reclassification, and the random forest (RF) algorithm identified key criteria, particularly trans portation infrastructure and population density. Analytic hierarchy process (AHP ), fuzzy AHP, and stepwise weight assessment ratio analysis (SWARA) are employed to derive criteria weights and suitability maps. Comparative results showed a p redilection towards fuzzy AHP over other MCDM methods for modeling suitability a nalysis for placing EVCS, indicating its marginal effectiveness with the largest high-suitability area (172 km 2 ) and hosting the most EVCS (461) in this zone with the highest average score (4.49). This study not only assesses criteria imp ortance and technique efficacy but also signifies a paradigm shift in MCDM from subjective to objective, data -driven decision-making by incorporating machine l earning.”
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