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    Researchers from Zayed University Publish Findings in Machine Learning (Toward a globally lunar calendar: a machine learningdriven approach for crescent moon v isibility prediction)

    39-39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 artificial intelligence. According to news reportingfrom Zayed University by Ne wsRx journalists, research stated, “This paper presents a comprehensiveapproach to harmonizing lunar calendars across different global regions, addressing the long-standing challengeof variations in new crescent Moon sightings that mark t he beginning of lunar months. We proposea machine learning (ML)-based framework to predict the visibility of the new crescent Moon, representinga significant advancement toward a globally unified lunar calendar.”

    New Findings from University of Technology in Robotics Provides New Insights (Robotic Assembly Systems Planning and Scheduling Problems: a Review)

    40-40页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics have been pr esented. According to news originating fromPereira, Colombia, by NewsRx corresp ondents, research stated, “Evolving market trends, characterizedby an increasin g demand for personalized products with short life cycles and variable demands, pose asignificant challenge to the industry. One of the industry’s strategies i s to adopt robotic assembly systemsto improve productivity and increase system flexibility.”

    Investigators at New York University (NYU) Describe Findings in Machine Learning (Notplanet: Removing False Positives From Planet Hunters Tess With Machine Lear ning)

    40-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting fromNew York City, New York, by NewsRx journalists, research stated, “Differentiating between real transit events and f alse-positive signals in photometric time-series data is a bottleneck in the ide ntificationof transiting exoplanets, particularly long-period planets. This dif ferentiation typically requires visualinspection of a large number of transit-l ike signals to rule out instrumental and astrophysical false positivesthat mimi c planetary transit signals.”

    Researchers from Yanshan University Report New Studies and Findings in the Area of Robotics (Mobile Robot Path Planning Based On Multi-experience Pool Deep Dete rministic Policy Gradient In Unknown Environment)

    41-42页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Robotics. Accordin g to news reporting from Hebei, People’sRepublic of China, by NewsRx journalist s, research stated, “The path planning for unmanned mobilerobots has always bee n a crucial issue, especially in unknown environments. Reinforcement learning widely used in path planning due to its ability to learn from unknown environments .”

    Tallinn University Reports Findings in Artificial Intelligence (A methodology fo r planning, implementation and evaluation of skills intelligence management - re sults of a design science project in technology organisations)

    42-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning - Art ificial Intelligence is the subject of a report.According to news originating f rom Tallinn, Estonia, by NewsRx correspondents, research stated, “Theevolving l abour market requirements amidst digital transformation necessitate robust skill s intelligencefor informed decision-making and adaptability. Novel technologies such as Big Data, Machine Learning,and Artificial Intelligence have significan t potential for enhancing skills intelligence.”

    Studies from Birla Institute of Technology and Science Pilani Describe New Findi ngs in Robotics (Kinematic Models for Cabledriven Continuum Robots With Multipl e Segments and Varying Cable Offsets)

    43-44页
    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 reportingout of Goa, India, by NewsRx editor s, research stated, “Cable -driven Continuum Robots (CCRs) representa subset of flexible robotic systems with diverse applications encompassing medical, qualit y control, andsearch and rescue. Multisegmented CCRs can independently actuate different CCR segments and deforminto a series of connected circular arcs.”

    Studies Conducted at National Institute of Technology Rourkela on Support Vector Machines Recently Reported (A Deep Convolutional-gru-svm-based Hybrid Approach for Signal Detection of Uplink Noma System)

    44-45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 Ma chine Learning - Support Vector Machines.According to news reporting from Odish a, India, by NewsRx journalists, research stated, “The Nonorthogonalmultiple a ccess (NOMA) technique has drawn considerable attention as a promising solutionfor advanced wireless communication systems due to its higher data rates, lower latency, and high bandwidthefficiency. The decoding of NOMA signals requires st andard successive interference cancellation (SIC)approaches.”

    Study Data from Budapest University of Technology and Economics Provide New Insi ghts into Machine Learning (Automated Group Constant Parameterization for Low Sa mple Sizes Using Different Machine Learning Approaches)

    45-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on Machine Learning are presented in a new report. According to news reportingoriginating from Budapest, Hungary, by NewsRx correspondents, research stated, “This paper deals withgroup constant pa rameterization, a necessary step to utilize the results of assembly-level neutro nicscalculations at the full-core level. The focus is on low sample size proble ms when the commonly usedlinear interpolation approach is inadequate, a typical situation of using Monte Carlo codes for groupconstant generation.”

    Researchers at Chang’an University Release New Data on Robotics (Active Impedance Control Based Adaptive Locomotion for a Bionic Hexapod Robot)

    46-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Robotics is the subject of a repo rt. According to news reporting originatingin Xi’an, People’s Republic of China , by NewsRx journalists, research stated, “In recent years, with thecontinuous development of human exploration of the natural world, there has been a growing demandacross various fields for robots capable of free movement in diverse envi ronments. In this study, weaddress the issue of compliant control for a hexapod robot in diverse environments and propose a novelcontrol method based on an ad aptive impedance model for position control.”

    New Findings from Tianjin University Update Understanding of Machine Translation (Feds-icl: Enhancing Translation Ability and Efficiency of Large Language Model By Optimizing Demonstration Selection)

    47-48页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Translation h ave been presented. According to newsoriginating from Tianjin, People’s Republi c of China, by NewsRx correspondents, research stated, “Largelanguage models (L LMs) that exhibit a remarkable ability by in-context learning (ICL) with bilingu aldemonstrations have been recognized as a potential solution for machine trans lation. However, the processof selecting these demonstrations from vast datasto res is notoriously time-consuming and inefficient.”Financial supporters for this research include National Natural Science Foundati on of China YouthFoud, Key Research and Development Program of Yunnan Province.