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    Study Findings on Machine Learning Are Outlined in Reports from Center for Appli ed Mathematics (Refrigerant Leak Detection In Industrial Vapor Compression Refri geration Systems Using Machine Learning)

    10-11页
    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 in Sophia-Antipol is, France, by NewsRx journalists, research stated, “Efficient detection of refr igerant leakage is of utmost importance for industrial refrigeration systems due to its potential to cause substantial impacts on system performance and the env ironment. Existing research on fault detection and diagnosis in refrigeration sy stems primarily revolves around solutions based on experimental or laboratory da ta.”

    Qingdao University of Technology Researchers Illuminate Research in Machine Lear ning (Enhancing Oil-Water Flow Prediction in Heterogeneous Porous Media Using Ma chine Learning)

    11-12页
    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 originating from Qingdao, People’s Repu blic of China, by NewsRx correspondents, research stated, “The rapid and accurat e forecasting of two-phase flow in porous media is a critical challenge in oil f ield development, exerting a substantial impact on optimization and decision-mak ing processes.”

    Researchers from Guangdong University of Technology Publish Findings in Autonomo us Intelligence (Distant supervision knowledge extraction and knowledge graph co nstruction method for supply chain management domain)

    12-13页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on autonomous intelligenc e is the subject of a new report. According to news reporting out of Guangdong U niversity of Technology by NewsRx editors, research stated, “As the core competi tiveness of the national industry, large-scale equipment such as ships, high-spe ed rail and nuclear power equipment, their production process involves in-depth personalization. It includes complex processes and long manufacturing cycles.”

    Study Findings on Robotics Published by a Researcher at Karlsruhe Institute of Technology (KIT) (Energy Requirement Modeling for Automated Guided Vehicles Consi dering Material Flow and Layout Data)

    13-14页
    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 originating from Karlsruhe, Germany, by NewsR x correspondents, research stated, “Saving energy and resources has become incre asingly important for industrial applications.” Funders for this research include German Federal Ministry For Economic Affairs A nd Energy.

    First Affiliated Hospital of Anhui Medical University Reports Findings in Cervic al Cancer (Machine learning-based radiomics for predicting outcomes in cervical cancer patients undergoing concurrent chemoradiotherapy)

    14-15页
    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 - Cervical Ca ncer is the subject of a report. According to news reporting originating from An hui, People’s Republic of China, by NewsRx correspondents, research stated, “To investigate the value of machine learning-based radiomics for predicting disease -free survival (DFS) and overall survival (OS) undergoing concurrent chemoradiot herapy (CCRT) for patients with locally advanced cervical cancer (LACC). In this multicentre study, 700 patients with IB2-IVA cervical cancer who underwent CCRT with ongoing follow-up were retrospectively analyzed.”

    University of Notre Dame Researcher Focuses on Robotics (Complete Solutions for the Approximate Synthesis of Spherical Four-Bar Function Generators)

    15-15页
    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 the University of Notre Dame by NewsRx journ alists, research stated, “Kinematic synthesis to meet an approximate motion spec ification naturally forms a constrained optimization problem. Instead of using l ocal methods, we conduct global design searches by direct computation of all cri tical points.”

    Reports from Taiyuan University of Technology Advance Knowledge in Robotics (Res earch on coal mine XR intelligent operation and maintenance system for complex c ollaborative tasks involving multiple humans and multiple robots)

    16-17页
    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 originating from Taiyuan, People’s Republic of China, by NewsRx editors, the research stated, “With the development of coal mine intel ligence and the application of coal mine robots, an efficient collaboration betw een coal mine operators and coal mine robots plays a crucial role in the executi on of complex underground tasks. To optimize the complex operational relationshi p of multiple coal mine operators and multiple robots, based on the concept of d igital twin and extensive experience in the XR field, the research is conducted on the design and key technologies of XR intelligent operation and maintenance s ystem for complex collaborative tasks involving multiple humans and multiple rob ots in coal mines.”

    Huaqiao University Reports Findings in Intelligent Systems (Deep Matrix Factoriz ation Via Feature Subspace Transfer for Recommendation System)

    17-17页
    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 - Intelligent Systems. According to news reporting originating fr om Fujian, People’s Republic of China, by NewsRx correspondents, research stated , “The sparsity problem remains a significant bottleneck for recommendation syst ems. In recent years, deep matrix factorization has shown promising results in m itigating this issue.”

    DIFFER - Dutch Institute for Fundamental Energy Research Researchers Provide New Insights into Machine Learning (RedPred, a machine learning model for the predi ction of redox reaction energies of the aqueous organic electrolytes)

    18-18页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on artificial intell igence are discussed in a new report. According to news reporting out of the DIF FER - Dutch Institute for Fundamental Energy Research by NewsRx editors, researc h stated, “Aqueous Organic Redox Flow Batteries (AORFBs) are considered as one o f the most appealing technologies for large-scale energy storage due to their el ectroactive organic materials, which are abundant, easy to produce, and recyclable.”

    Reports Summarize Machine Learning Study Results from University of Sousse (A Novel Machine Learning Model for Predicting the Meaning of an Emojis String In Soc ial Media Platforms)

    19-19页
    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 originating in Sousse, Tunisia, by NewsRx journalists, research stated, “This paper delves into how social media, an incr easingly pervasive global phenomenon, shapes the language nowadays. It zeroes in on emojis, a rapidly evolving means of communication that deviates from traditi onal verbal and nonverbal expressions, examining their impact on linguistic deve lopment.”