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    National Taiwan Ocean University Researcher Discusses Research in Robotics (Gait Pattern Investigations of Bionic Piezoelectric Robot)

    10-11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 originating from Keelung, Taiwan, by NewsRx correspon dents, research stated, “The development of micro-robots based on bionic motion has garnered increasing attention with the advancement of bionic technology. These micro-robots can be employed in various tasks, such as military applications, disaster search and rescue, in vivo drug delivery, minimally invasive surgery, and tumor treatment.”

    Research on Machine Learning Described by Researchers at Vellore Institute of Te chnology (Predictive Analysis of Network-Based Attacks by Hybrid Machine Learnin g Algorithms Utilizing Bayesian Optimization, Logistic Regression, and Random Forest ...)

    11-12页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on artificial intelligence are present ed in a new report. According to news originating from Tamil Nadu, India, by New sRx editors, the research stated, “These days, intrusion detection systems are one of the newest trends in society. These technologies serve as a defense agains t a variety of security breaches, the number of which has been rising recently.”

    Research from Bielefeld University Broadens Understanding of Machine Learning (A nalyzing Machine Learning Models for Activity Recognition Using Homomorphically Encrypted Real-World Smart Home Datasets: A Case Study)

    12-13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 originating from Bielefeld, Germany, by NewsRx correspondents, research stated, “The era of digitization and IoT devi ces is marked by the constant storage of massive amounts of data.”

    Researchers at University of Bayreuth Release New Data on Machine Learning [Monitoring of Fused Filament Fabrication (Fff): an Infrared Imaging and Machine Learning Approach]

    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 Machine Learn ing have been published. According to news reporting originating from Bayreuth, Germany, by NewsRx correspondents, research stated, “Additive manufacturing hold s great promise for broader future use, but quality assurance and component moni toring present notable challenges. This study tackles monitoring Fused Filament Fabrication (FFF) via infrared imaging to forecast the mechanical traits of 3D-p rinted items.”

    Researcher from Swedish University of Agricultural Sciences Details New Studies and Findings in the Area of Machine Learning (Species assignment from seal diet samples using shape analyses in a machine learning framework)

    14-15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 reporting out of Swedish University of Agricultural Sciences by NewsRx editors, research stated, “The identification an d quantification of prey ingested is a limiting factor in trophic ecology studie s and is fundamental for assessing the impact of a predator on prey populations. ”

    New Machine Learning Findings from Hunan University Discussed (Investigating the Effect of Fuel Properties and Environmental Parameters On Low-octane Gasoline-l ike Fuel Spray Combustion and Emissions Using Machine Learning-global Sensitivity ...)

    15-16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. According to news reporting from Changsha, People’s Republic of China, by NewsRx journalists, research stated, “The gasoline compression ignition mode is an advanced combustion mode that achieves high efficiency with low emi ssions. This study constructs a global sensitivity analysis (GSA) by coupling ma chine learning (ML) algorithms and conducts a comprehensive investigation into t he statistical correlations between research octane number (RON), fuel sensitivity (S), three initial ambient parameters, and the spray combustion characteristics of gasoline-like fuels.”

    Researchers from University of Naples Federico II Report New Studies and Finding s in the Area of Machine Learning (Monitoring the Gas Metal Arc Additive Manufac turing Process Using Unsupervised Machine Learning)

    16-17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 Machine Learn ing have been published. According to news originating from Naples, Italy, by Ne wsRx correspondents, research stated, “The study aimed to assess the performance of several unsupervised machine learning (ML) techniques in online anomaly (The term ‘anomaly’ is used here to indicate a departure from expected process behav ior which may indicate a quality issue which requires further investigation. The term ‘defect detection’ has often been used previously but the specific imperfe ction is often indirectly inferred.) detection during surface tension transfer ( STT)- based wire arc additive manufacturing.”

    Researchers from National Institute of Technology Patna Report Details of New Studies and Findings in the Area of Machine Learning (Machine Learning Approach for Evaluating Soil Liquefaction Probability Based On Reliability Method)

    17-18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 Patna, India, by NewsRx journalists, research stated, “Reliability analysis is necessary to ad dress the many uncertainties, including both model and parametric uncertainties. This study systematically assesses the reliability index (beta) and probability of occurrence of liquefaction (PL) using the first-order reliability method (FO RM) approach on the cone penetration test (CPT) dataset, taking into account par ametric uncertainties.”

    New Robotics Study Findings Have Been Reported by Investigators at Anhui Polytechnic University (Gap Compensation Control Method for Robotic Electrochemical Mil ling Machining Based On Multi-physics Field Coupling)

    18-19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 reporting originating in Wuhu, People’s Republic of China, by NewsRx journalists, research stated, “Industrial robot electrochemical milli ng has an important application prospect in efficient and precise machining of hard-to-cut part materials due to its advantages of high flexibility and strong s ensing ability and is now becoming a hot spot in the research of new electrochem ical machining technology. However, the weak stiffness and low accuracy problems of industrial robots themselves can create errors in the normal clearance in el ectrochemical milling machining.”

    Research Conducted at North China Electric Power University Has Provided New Inf ormation about Machine Learning (Machine Learning Based Uncertainty-alleviating Operation Model for Distribution Systems With Energy Storage)

    19-20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 Beijing, People’s Republic of Chi na, by NewsRx editors, research stated, “In this paper, an operation model for distribution systems with energy storage (ES) is proposed and solved with the aid of machine learning. The model considers ES applications with uncertainty realizations.”