查看更多>>摘要:A new study on artificial intelligence is now available. According to news reporting from Torino, Italy, by NewsRx jou rnalists, research stated, "Resistance spot welding is widely adopted in manufac turing and is characterized by high reliability and simple automation in the pro duction line." Funders for this research include Project Manage 5.0. The news correspondents obtained a quote from the research from Polytechnic Univ ersity Torino: "The detection of defective welds is a difficult task that requir es either destructive or expensive and slow nondestructive testing (e.g., ultra sound). The robots performing the welding automatically collect contextual and p rocess-specific data. In this paper, we test whether these data can be used to p redict defective welds. To do so, we use a dataset collected in a real industria l plant that describes welding-related data labeled with ultrasonic quality chec ks. We use these data to develop several pipelines based on shallow and deep lea rning machine learning algorithms and test the performance of these pipelines in predicting defective welds. Our results show that, despite the development of d ifferent pipelines and complex models, the machine-learning-based defect detecti on algorithms achieve limited performance."
查看更多>>摘要:Investigators publish new report on Ma chine Learning. According to news reporting originating from Bangalore, India, b y NewsRx correspondents, research stated, "PurposeWith the rapid advancement of lifestyle and technology, human lives are becoming increasingly threatened. Acci dents, exposure to dangerous substances and animal strikes are all possible thre ats."
查看更多>>摘要:Fresh data on artificial intelligence are presented in a new report. According to news reporting originating from Seou l, South Korea, by NewsRx correspondents, research stated, "For vertical interco nnect access (VIA) in three-dimensional (3D) structure chips, including those wi th high bandwidth memory (HBM), shrinking contact holes (C/Hs) using the resist flow process (RFP) represents the most promising technology for low-k1 (where CD =k1l/NA,CD is the critical dimension, l is wavelength, and NA is the numerical a perture)." Funders for this research include Hongik University. The news correspondents obtained a quote from the research from Hongik Universit y: "This method offers a way to reduce dimensions without additional complex pro cess steps and is independent of optical technologies. However, most empirical m odels are heuristic methods and use linear regression to predict the critical di mension of the reflowed structure but do not account for intermediate shapes. In this research, the resist flow process (RFP) was modeled using the evolution me thod, the finite-element method, machine learning, and deep learning under vario us reflow conditions to imitate experimental results. Deep learning and machine learning have proven to be useful for physical optimization problems without ana lytical solutions, particularly for regression and classification tasks."
查看更多>>摘要:2024 OCT 08 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators discuss new findings in Machine Lea rning-Computational Intelligence. According to news reporting originating in N anning, People's Republic of China, by NewsRx journalists, research stated, "Not ing that in traditional adaptive fuzzy controller (AFC) design, only the converg ence of tracking error rather than fuzzy approximation error can be guaranteed. This paper focuses on tracking control of fractional-order systems subjected to model uncertainties together with external disturbances." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Natural Science Foundation of Guangxi Province.
查看更多>>摘要:Research findings on robotics are disc ussed in a new report. According to news reporting from Beijing, People's Republ ic of China, by NewsRx journalists, research stated, "Constrained environments, compared with open spaces without other objects, are more common in practical ap plications of manipulating deformable linear objects (DLOs) by robots, where mov ements of both DLOs and robot manipulators should be constrained and unintended collision should be avoided. Such a task is highdimensional and highly constrai ned owing to the highly deformable DLOs, dual-arm robots with high degrees of fr eedom, and 3-D complex environments, which render global planning extremely chal lenging." Financial supporters for this research include The Institute For Guo Qiang, Tsin ghua University; The National Natural Science Foundation of China; The Science A nd Technology Innovation 2030-KEY Project.
查看更多>>摘要:New research on Robotics is the subjec t of a report. According to news originating from Paris, France, by NewsRx corre spondents, research stated, "The successful integration of socially assistive ro bots in geriatric care settings hinges on the attitudes and opinions of healthca re professionals. This study explored their needs, expectations, and perceptions regarding robot use, including facilitating factors and barriers to implementat ion." Our news journalists obtained a quote from the research from Universite Paris Ci te, "Twenty professionals participated in semi-structured interviews that covere d topics such as robot applications, perceived value, acceptance criteria, prere quisites for deployment, ethical considerations, and design attributes. These in terviews were analyzed using a deductive qualitative approach guided by the Euro pean Network for Health Technology Assessment model (version 3.0). Results indic ated that professionals generally viewed robots favorably, noting their usefulne ss in various non-intimate tasks like meal assistance and toileting. Ease of use was identified as a critical factor for robot adoption in geriatric care. Furth ermore, the necessity of educating all stakeholders and providing comprehensive training to professionals emerged as essential for successful implementation. Th e discussions also included financial and ethical issues related to the introduc tion of these technologies."
查看更多>>摘要:Fresh data on Machine Learning are pre sented in a new report. According to news reporting from Changsha, People's Repu blic of China, by NewsRx journalists, research stated, "The modular design of me tal-organic frameworks (MOFs) for enhancing arsenate (As(V)) adsorption remains a challenge. We have developed twelve interpretable machine learning prediction models by integrating six decision tree-based algorithms with two molecular fing erprints, Morgan and MACCS." Financial supporters for this research include National Key Research & Development Program of China, Fundamental Research Funds for the Central Univers ities of Central South University.
查看更多>>摘要:New research on Machine Learning is th e subject of a report. According to news reporting out of Shanghai, People's Rep ublic of China, by NewsRx editors, research stated, "Gastric and esophageal canc ers, the predominant forms of upper gastrointestinal malignancies, contribute si gnificantly to global cancer mortality. Routine detection methods, including med ical imaging, endoscopic examination, and pathological biopsy, often suffer from drawbacks such as low sensitivity and laborious and complex procedures." Our news journalists obtained a quote from the research from the Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, "Raman spectrosc opy is a non-invasive and label-free optical technique that provides highly sens itive biomolecular information to facilitate effective tumor identification. In this work, we report the use of fiber-optic Raman spectroscopy for the accurate and rapid diagnosis of gastric and esophageal cancers. Using a database of 14,00 0 spectra from 140 ex vivo tissue pieces of both tumor and normal tissue samples , we compare the random forest (RF) and our established Euclidean distance Raman spectroscopy (EDRS) model. The RF analysis achieves a sensitivity of 85.23% and an accuracy of 83.05% in diagnosing gastric tumors. The EDRS a lgorithm with improved diagnostic transparency further increases the sensitivity to 92.86% and accuracy to 89.29%. When these diagnos tic protocols are extended to esophageal tumors, the RF and EDRS models achieve accuracies of 71.27 % and 93.18%, respectively. Finall y, we demonstrate that fewer than 20 spectra are sufficient to achieve good Rama n diagnostic accuracy for both tumor tissues. This optimizes the balance between acquisition time and diagnostic performance. Our work, although conducted on ex vivo tissue models, offers valuable insights for in vivo in situ endoscopic Ram an diagnosis of gastric and esophageal cancer lesions in the future."
查看更多>>摘要:2024 OCT 08 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-A new study on artificial intelligence is now ava ilable. According to news originating from Macau, People's Republic of China, by NewsRx correspondents, research stated, "This study investigates the intricate causal mechanisms of university students' sustained use of artificial intelligen ce (AI) tools for self-directed learning (SDL) within the theoretical framework of self-determination theory (SDT). Employing a convenience sampling strategy, 3 87 university students from China were included in the study." Funders for this research include Macao Polytechnic University. The news editors obtained a quote from the research from Faculty of Humanities a nd Social Sciences: "Methodologically, we employed structural equation modeling (SEM) for the measurement and causal analysis, and we employed fuzzy-set qualita tive comparative analysis (fsQCA) for the configurational analysis. The research results emphasize several important insights. Perceived usefulness, intrinsic m otivation, and satisfaction play important roles in encouraging university stude nts' continuance intentions. Satisfaction emerges as a pivotal mediator, bridgin g the connection between perceived usefulness, intrinsic motivation, and continu ance intention. The system quality, the information quality, and social interact ion have significant positive influences on perceived usefulness. Perceived auto nomy and perceived competence display strong correlations with both intrinsic mo tivation and satisfaction."
查看更多>>摘要:Current study results on Machine Learn ing have been published. According to news reporting originating in Clemson, Sou th Carolina, by NewsRx journalists, research stated, "Energy justice advocates f or the equitable and accessible provision of energy services, mainly focusing on marginalized communities. Adopting machine learning in analyzing energy-related data can unintentionally reinforce social inequalities." Financial supporters for this research include Wellcome Trust Fundation, UK, Nat ional Science Foundation (NSF), United States Department of Energy (DOE), Nation al Science Foundation (NSF).