期刊,Robotics & Machine Learning Daily News 2024年卷Dec.10期_国家学术搜索

Study Results from University of Science and Technology Beijing Broaden Understa nding of Machine Learning (Explainable Machine Learning Model for Predicting Mol ten Steel Temperature In the Lf Refining Process)

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查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Beijing, People’s R epublic of China, by NewsRx correspondents, research stated, “Accuratepredictio n of molten steel temperature in the ladle furnace (LF) refining process has an important influenceon the quality of molten steel and the control of steelmakin g cost. Extensive research on establishingmodels to predict molten steel temper ature has been conducted.”

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Shandong Institute of Petroleum and Chemical Technology Researcher Updates Knowl edge of Artificial Intelligence (3D Gaussian Geometric Moment Invariants)

76-76页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news reporting outof Shandong, People’s Republic of China, by NewsRx editors, research stated, “ABSTRACT3D momentinvariants are important tools for 3D image feature representation.”

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Data on Robotics Published by Researchers at Beijing Jiaotong University (Gait p lanning of a 4-5R rolling mechanism based on the planar 6R single-loop chain)

76-77页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in robotics. According to news reporting out ofBeijing, People’s Republic of China , by NewsRx editors, research stated, “This paper proposes a 4-5Rrolling mechan ism based on the spatial extension design of a planar 6R single-loop chain. By a nalyzingthe locomotion of the planar equivalent form, a modular gait theory int egrating different modes of gaitwith high efficiency, low energy consumption, a nd high speed is established.”

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Recent Studies from Government Degree College Add New Data to Machine Learning ( Statistical Modeling to Improve Time Series Forecasting Using Machine Learning, Time Series, and Hybrid Models: A Case Study of Bitcoin Price Forecasting)

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查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on artificial in telligence have been published. According to newsoriginating from Hyderabad, Pa kistan, by NewsRx correspondents, research stated, “Bitcoin (BTC-USD)is a virtu al currency that has grown in popularity after its inception in 2008.”

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Study Findings on Robotics Discussed by Researchers at Southeast University (All ocation and scheduling of deposition paths in a layer for multi-robot coordinate d wire and arc additive manufacturing of large-scale parts)

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查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ro botics. According to news reporting out ofNanjing, People’s Republic of China, by NewsRx editors, research stated, “ABSTRACTIn multi-robotcooperative wire and arc additive manufacturing (MRC-WAAM) systems, allocating and scheduling deposition tasks is necessary.”

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New Robotics Findings Reported from Nanyang Technological University (Lidar-base d End-to-end Active Slam Using Deep Reinforcement Learning In Large-scale Enviro nments)

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查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingoriginating in Singapore, Singapore , by NewsRx journalists, research stated, “Autonomous explorationin expansive a nd complicated environments poses a significant challenge. When the dimensions o f theenvironment expand, exploration algorithms encounter substantial overhead, which can overpower thecomputational capacity of mobile platforms.”

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Study Findings from Dongguan University of Technology Update Knowledge in Machin e Learning (A Physics-Guided Machine Learning Model for Predicting Viscoelastici ty of Solids at Large Deformation)

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查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news originatingfrom Dongguan, People’s Republic of China, by NewsRx editors, the research stated, “Physics-guidedmachine learn ing (PGML) methods are emerging as valuable tools for modelling the constitutive relationsof solids due to their ability to integrate both data and physical kn owledge.”

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Prince Sultan University Researchers Describe Findings in Robotics (Enhanced tra cking control for n-DOF robotic manipulators: A fixed-time terminal sliding mode approach with time delay estimation)

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查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on robotics are disc ussed in a new report. According to newsoriginating from Riyadh, Saudi Arabia, by NewsRx editors, the research stated, “This work proposes afixed-time termina l sliding mode control scheme with time delay estimation (FxTSM-TDE) for unknownnonlinear robotic systems under uncertainties and unknown bounded disturbances. ”

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University of Southern Queensland Researchers Report Recent Findings in Artifici al Intelligence [Cyber Battle Management Systems (CBMS) is Co nsidered as Systems of Systems (SoS) and Emergent Behavior is Present, where Via ble System Model (VSM) ...]

81-82页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingfrom the University of Southe rn Queensland by NewsRx journalists, research stated, “This manuscriptcriticall y examines existing research on cyber battle management systems (CBMS) and under scores the importance of advancing complex structure thinking, cybernetics, wick ed problem-solving, and emergingbehavior analysis.”

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Reports Summarize Machine Learning Study Results from Jilin University (Coarse G raining of Multiple Water Molecules With Intelligent Dissipative Particle Dynami cs)

82-83页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reporting fromChangchun, People’s Republic of Chi na, by NewsRx journalists, research stated, “We employ intelligentdissipative p article dynamics that combines dissipative particle dynamics and machine learnin g techniquesto perform the coarse graining of a water molecule system, includin g single- and multiple-water coarsegraining. This coarse graining is a challeng ing task due to the high-density nature of water, the presenceof long-range ele ctrostatic interaction, and the difficulty of packing multiple molecules.”

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