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    Studies in the Area of Machine Learning Reported from Southeast University (Deep Learning Based Features Extraction for Facial Gender Classification Using Ensem ble of Machine Learning Technique)

    98-99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. According to news originatingfrom Jiangsu, People’s Republic of China, by NewsRx correspondents, research stated, “Accurate andefficient gende r recognition is an essential for many applications such as surveillance, securi ty, andbiometrics. Recently, deep learning techniques have made remarkable adva ncements in feature extractionand have become extensively implemented in variou s applications, including gender classification.”

    New Machine Learning Study Findings Recently Were Reported by Researchers at Sta te University (New Method for Taxonomic Descriptions With Coded Notation, Produc ing Dynamic and Interchangeable Output)

    99-100页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. According tonews reporting originating in Joao P essoa, Brazil, by NewsRx journalists, research stated, “A proposalfor taxonomic species description notation is presented to replace the traditional descriptiv e texts for acoded matrix, avoiding redundant adjectives and subjective descrip tions. This is an attempt to enhance thespecies description rate and to make th e descriptions output available to other scientific disciplines, machinelearnin g, interactive and computer-assisted identification keys, metadata analysis and its applications.”

    Investigators from Beihang University Target Robotics (Adaptive Shape Formation Against Swarm-scale Variants In Robot Swarms)

    100-101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 originating from Beijing,People’s Republic of China, by N ewsRx correspondents, research stated, “Shape formation of robot swarmsis quite challenging when the robot number varies, as the number often needs to match th e number of goallocations in the shape. For this challenge, state-of-the-art me thods characterize the shape as a continuousregion and distribute robots in the region.”

    Researchers at Kookmin University Publish New Data on Robotics (Potential User S egmentation Based on Expectations of Social Robots Using Q-Methodology)

    101-102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 ro botics. According to news reporting from Seoul,South Korea, by NewsRx journalis ts, research stated, “This study explores users’ expectations of socialrobots b y employing Q-methodology, a technique that identifies patterns of subjective op inions.”Funders for this research include Ministry of Education of The Republic of Korea And The NationalResearch Foundation of Korea.

    Investigators at Indian Institute for Technology Describe Findings in Machine Le arning (Comparative Analysis of Various Machinelearning Models for Solar-wind P ropagation-delay Estimation)

    102-103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 Machine Learn ing have been published. According to newsreporting from Indore, India, by News Rx journalists, research stated, “Geomagnetic storms resulting fromsolar distur bances impact telecommunication and satellite systems. Satellites are positioned at Lagrangepoint L1 to monitor these disturbances and give warning 30 min to 1 h ahead.”

    Studies from University of New South Wales Describe New Findings in Artificial I ntelligence (A Temporal Ontology Guided Clustering Methodology With a Case Study On Detection and Tracking of Artificial Intelligence Topics)

    103-104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 Artificial Intelligence is now available. According to news reportingout of Canberra, Australia, by Ne wsRx editors, research stated, “Detection and tracking of topics frompublicly a vailable academic data can benefit the scientific community and other stakeholde rs throughouttheir investment and other decisions, by informing the decisions r egarding the field of science, its evolution,and its dynamics. In this study, w e introduce a novel temporal clustering method for topic detection,using docume nt abstracts, keywords, and their corresponding textual representations.”

    Studies from Peking University in the Area of Machine Translation Described (Zer onlg: Aligning and Autoencoding Domains for Zeroshot Multimodal and Multilingua l Natural Language Generation)

    104-105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 Translation is the subject of a report. According to newsreporting originating from Shenzhen, People’s Republic of China, by NewsRx correspondents, researchstated, “Natural Language Generation (NLG) accepts input data in the form of images, videos, or textand generates corresponding natural language text as output. Existing NLG m ethods mainly adopt asupervised approach and rely heavily on coupled data-to-te xt pairs.”

    New Study Findings from Kumoh National Institute of Technology Illuminate Resear ch in Robotics (ASAP: Agile and Safe Pursuit for Local Planning of Autonomous Mo bile Robots)

    105-106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 robotics is now availab le. According to news reporting originatingfrom Gyeongbuk, South Korea, by News Rx correspondents, research stated, “This paper presents a novellocal planning approach called Agile and SAfe Pursuit (ASAP) for autonomous mobile robots.”

    Studies from North China University of Water Resources and Electric Power Yield New Data on Robotics (Vibration Characteristics and Structural Optimization of P ipeline Intelligent Plugging Robot under Turbulent Flow Field Excitation)

    106-107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 ro botics. According to news reporting out ofZhengzhou, People’s Republic of China , by NewsRx editors, research stated, “Pipeline maintenance technologybased on pipeline intelligent plugging robot (PIPR) has become an effective method for fa ilureaccident prevention of high-pressure subsea oil and gas pipelines. However , during the plugging operation,the vortexes and pressure fluctuation are prese nted under turbulent flow field excitation, which may leadto vortex-induced vib ration and failure of the plugging operation.”

    Study Results from IDIAP Research Institute in the Area of Robotics and Automati on Reported (Logic Learning From Demonstrations for Multi-step Manipulation Task s In Dynamic Environments)

    107-108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 - Ro botics and Automation have been published.According to news originating from Ma rtigny, Switzerland, by NewsRx correspondents, research stated,“Learning from D emonstration (LfD) stands as an efficient framework for imparting human-like ski llsto robots. Nevertheless, designing an LfD framework capable of seamlessly im itating, generalizing, andreacting to disturbances for long-horizon manipulatio n tasks in dynamic environments remains a challenge.”