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    New Data from Beijing Jiaotong University Illuminate Findings in Intelligent Veh icles (Acp-based Parallel Railway Traffic Management for High-speed Trains In Ca se of Emergencies)

    84-85页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Transportatio n - Intelligent Vehicles. According to news reporting from Beijing, People’s Rep ublic of China, by NewsRx journalists, research stated, “The handling of emergen cies like severe wind and foreign matter collision in high-speed railways is a t ypical humanin- the-loop complex task. Conventional approaches find it challengi ng to satisfy the real-time, efficiency, and safety standards for reorganizing t rain schedules during such critical situations.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

    Southwest University Details Findings in Robotics (Cuo/tio2/mxene-based Sensor a nd Sms-teng Array Integrated Inspection Robots for Self-powered Ethanol Detectio n and Alarm At Room Temperature)

    85-86页
    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 Robotics is now availab le. According to news originating from Chongqing, People’s Republic of China, by NewsRx correspondents, research stated, “In this study, a highprecision CuO/Ti O2/MXene ethanol sensor operating at room temperature was prepared. The sensor e xhibits excellent response value (95% @1 ppm ethanol), extremely l ow detection limit (0.3 ppm), fast response/recovery time (16/13 s), and remarka ble long-term stability for trace detection of ethanol gas at room temperature, attributed to the p-n heterojunction formed by CuO and TiO2, as well as the rich functional groups and large specific surface area of MXene.”

    Guangdong University of Technology Researcher Reports Research in Artificial Int elligence (Artificial Intelligence-Based Damage Identification Method Using Prin cipal Component Analysis with Spatial and Multi-Scale Temporal Windows)

    86-87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 artificial in telligence have been published. According to news reporting out of Guangzhou, Pe ople’s Republic of China, by NewsRx editors, research stated, “Previous studies have demonstrated the superior damage identification performance of the double-w indow principal component analysis (DWPCA) method over traditional PCA methods a nd other traditional techniques, such as wavelet and regression analysis. DWPCA uses temporal windows to discriminate structural states and spatial windows to e xclude damage-insensitive responses, making it more effective for damage identif ication.”

    Data on Nanoparticles Reported by Lara Faccani and Colleagues (Design rules appl ied to silver nanoparticles synthesis: A practical example of machine learning a pplication)

    87-88页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Nanotechnology - Nanoparticles is the subject of a report. According to news reporting out of Faenza, Italy, by N ewsRx editors, research stated, “The synthesis of silver nanoparticles with cont rolled physicochemical properties is essential for governing their intended func tionalities and safety profiles. However, synthesis process involves multiple pa rameters that could influence the resulting properties.”

    Study Findings on Machine Learning Are Outlined in Reports from Faculty of Scien ce (Hybrid river stage forecasting based on machine learning with empirical mode decomposition)

    88-89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 originating from the Fac ulty of Science by NewsRx correspondents, research stated, “The river stage is c ertainly an important indicator of how the water level fluctuates overtime. Cont inuous control of the water stage can help build an early warning indicator of f loods along rivers and streams.” Financial supporters for this research include Lulea University of Technology.

    Recent Research from Hunan University Highlight Findings in Robotics and Automat ion (Bi-mapper: Holistic Bev Semantic Mapping for Autonomous Driving)

    89-90页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics - Robotics and Automation are presented in a new report. According to news reporting out of Cha ngsha, People’s Republic of China, by NewsRx editors, research stated, “A semant ic map of the road scene, covering fundamental road elements, is an essential in gredient in autonomous driving systems. It provides important perception foundat ions for positioning and planning when rendered in the Bird’s-Eye-View (BEV).”

    Universidad de Las Americas Reports Findings in Artificial Intelligence (Predict ion of compound-target interaction using several artificial intelligence algorit hms and comparison with a consensusbased strategy)

    90-91页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Artificial Intelligence is the su bject of a report. According to news originating from Quito, Ecuador, by NewsRx correspondents, research stated, “For understanding a chemical compound’s mechan ism of action and its side effects, as well as for drug discovery, it is crucial to predict its possible protein targets. This study examines 15 developed targe t-centric models (TCM) employing different molecular descriptions and machine le arning algorithms.”

    Researchers at Chinese Academy of Sciences Target Machine Learning (Machine Lear ning In Metal-ion Battery Research: Advancing Material Prediction, Characterizat ion, and Status Evaluation)

    91-92页
    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 Machine Learning. According to news reporting originating in Liaoning, People’s Republic of China, by NewsRx journalists, research stated, “Metal-ion batteries (MIBs), including alkali metal-ion (Li+, Na+, and K+), multi-valent metal-ion (Z n2+, Mg2+, and Al3+), metal-air, and metal-sulfur batteries, play an indispensab le role in electrochemical energy storage. However, the performance of MIBs is s ignificantly influenced by numerous variables, resulting in multi-dimensional an d long-term challenges in the field of battery research and performance enhancem ent.”

    New Findings from Nanjing Audit University in the Area of Artificial Intelligenc e Reported (Knowledge Evolutionary Process of Artificial Intelligence In E-comme rce: Main Path Analysis and Science Mapping Analysis)

    92-93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 originating from Jiangsu , People’s Republic of China, by NewsRx correspondents, research stated, “Artifi cial intelligence (AI) is the latest designing and interacting technology used t o support organizations in the competitive electronic commerce (E-commerce) cont ext. The studies on AI in E-commerce remain fragmentary since few papers review the evolutionary process of knowledge infrastructure.” Financial supporters for this research include Social Science Foundation Project of Jiangsu Province, China, Humanities and Social Science Fund of Ministry of E ducation, China, Postgraduate Research & Practice Innovation Progr am of Jiangsu Province.

    New Machine Learning Data Have Been Reported by Researchers at Huazhong Agricult ural University (Tribological Properties and Machine Learning Prediction of Feco crnialn High Entropy Coatings)

    93-94页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating in Wuhan, People’s Repu blic of China, by NewsRx journalists, research stated, “High-entropy nitride cer amic coatings exhibit excellent wear resistance and are regarded as promising co atings in tools. Predicting the coefficients of friction (COF) and related micro strain under friction condition is critical for their application.” Funders for this research include National Natural Science Foundation of China ( NSFC), Fundamental Research Funds for the Central Universities.