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Robotics & Machine Learning Daily News

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    New Machine Learning Study Findings Have Been Reported by Researchers at Univers ity of Michigan (Intelligent Radiation: a Review of Machine Learning Application s In Nuclear and Radiological Sciences)

    99-100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 Machine Learning are pre sented in a new report. According to news originating from Ann Arbor, Michigan, by NewsRx correspondents, research stated, “Modern advancements in computing pow er and the ability of machine learning (ML) to model complex relationships betwe en input and output have opened new prospects for data processing. This ML techn ology finds applications in nuclear and radiological sciences to extract meaning ful information from data and drive intelligent decision-making.”

    Study Findings from Dalian Maritime University Provide New Insights into Robotic s (YOLO8-FASG: A High-Accuracy Fish Identification Method for Underwater Robotic System)

    100-101页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on robotics have bee n published. According to news reporting out of Dalian, People's Republic of Chi na, by NewsRx editors, research stated, “In underwater robots, accurate identifi cation of small fish is still a major challenge, because small fish move faster and occupy less screen space, which requires higher detection flexibility and re ceptive field of the model.”

    Study Findings from Central South University Advance Knowledge in Machine Learni ng (SF-Transformer: A Mutual Information-Enhanced Transformer Model with Spot-Fo rward Parity for Forecasting Long-Term Chinese Stock Index Futures Prices)

    101-102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 artificial intelligence. According to news reporting originating from Changsha, People's Republic of China, by NewsRx correspondents, research stated, “The comp lexity in stock index futures markets, influenced by the intricate interplay of human behavior, is characterized as nonlinearity and dynamism, contributing to s ignificant uncertainty in long-term price forecasting. While machine learning mo dels have demonstrated their efficacy in stock price forecasting, they rely sole ly on historical price data, which, given the inherent volatility and dynamic na ture of financial markets, are insufficient to address the complexity and uncert ainty in long-term forecasting due to the limited connection between historical and forecasting prices.”

    Studies from Mapua University Have Provided New Data on Robotics (Advancements in Substation Inspection Robots: A Review of Research and Development)

    102-103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 robotics are disc ussed in a new report. According to news originating from Mapua University by Ne wsRx correspondents, research stated, “The emergence of power station inspection robots signifies a significant leap forward in intelligent automation within th e domain of substation maintenance.”

    Research from University of Augsburg Has Provided New Study Findings on Robotics (Flow in human-robot collaborationmultimodal analysis and perceived challenge detection in industrial scenarios)

    103-104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 robotics have been pr esented. According to news reporting originating from Augsburg, Germany, by News Rx correspondents, research stated, “Flow state, the optimal experience resultin g from the equilibrium between perceived challenge and skill level, has been ext ensively studied in various domains. However, its occurrence in industrial setti ngs has remained relatively unexplored.”

    New Machine Learning Study Findings Have Been Reported from Mid Sweden University (Machine Learning-assisted Triboelectric Nanogenerator-based Self-powered Sensors)

    104-104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 Machine Learning is now available. According to news reporting out of Sundsvall, Sweden, by NewsRx edit ors, the research stated, “The ability of triboelectric nanogenerators (TENGs) t o sense physical, chemical, and physiological activities has been demonstrated. The data generated by TENG sensors encompass various parameters, including time, frequency, intensity, and acceleration.”

    Investigators at Vrije Universiteit Brussel (VUB) Discuss Findings in Androids ( Mitigating Collision Forces and Improving Response Performance In Human-robot In teraction By Using Dual-motor Actuators)

    105-105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 Robotics - Androids. According to news originating from Brussels, Belgium, by Ne wsRx correspondents, research stated, “In collaborative robotics, the safety of humans interacting with cobots is crucial. There is a need for collaborative rob ots that can move quickly while still being safe.”

    Study Results from Ningbo University Update Understanding of Machine Learning (Urban Fine-Grained Water Quality Monitoring Based on Stacked Machine Learning Approach)

    106-106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 artificial intelligenc e is the subject of a new report. According to news reporting originating from N ingbo, People's Republic of China, by NewsRx correspondents, research stated, “U rban rivers play a crucial role in human environments and urban development. The use of drone remote sensing for fine-scale water quality inversion is vital for water environment monitoring and protection.”

    University of Pennsylvania Reports Findings in Artificial Intelligence (A reliab le deep-learning-based method for alveolar bone quantification using a murine mo del of periodontitis and micro-computed tomography imaging)

    107-107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 Artificial Intelligenc e is the subject of a report. According to news reporting originating from Phila delphia, Pennsylvania, by NewsRx correspondents, research stated, “This study fo cuses on artificial intelligence (AI)-assisted analysis of alveolar bone for per iodontitis in a mouse model with the aim to create an automatic deep-learning se gmentation model that enables researchers to easily examine alveolar bone from m icro-computed tomography (CT) data without needing prior machine learning knowle dge. Ligature-induced experimental periodontitis was produced by placing a small -diameter silk sling ligature around the left maxillary second molar.”

    Findings from Swansea University in the Area of Machine Learning Described (Real -time Monitoring of Molten Zinc Splatter Using Machine Learning-based Computer Vision)

    108-109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 originating from Swansea, United Kingdom, by NewsRx correspondents, research stated, “During steel galvanisation, immersing steel s trip into molten zinc forms a protective coating. Uniform coating thickness is c rucial for quality and is achieved using air knives which wipe off excess zinc.”