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    Studies from University of Montana Yield New Information about Machine Learning (Machine Learning Allows for Large-scale Habitat Prediction of a Wide-ranging Ca rnivore Across Diverse Ecoregions)

    29-30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 Missoula, Montana, by NewsRx corre spondents, research stated, “Resource selection functions are powerful tools for predicting habitat selection of animals. Recently, machine-learning methods suc h as random forest have gained popularity for predicting habitat selection due t o their flexibility and strong predictive performance.”

    Recent Studies from Tecnologico Nacional de Mexico Add New Data to Robotics (Exp erimental Evaluation of a Takagi-Sugeno Fuzzy Controller for an EV3 Ballbot System)

    30-31页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on robotics. Acc ording to news reporting out of Torreon, Mexico, by NewsRx editors, research sta ted, “In this paper, experimental results about the performance of a Takagi-Suge no Fuzzy Controller (TSFC) for an EV3 Ballbot Robotic System (EV3BRS) are report ed.” Financial supporters for this research include Tecnologico Nacional De Mexico; Conacyt.

    University of Twente Reports Findings in Robotics (Liver respiratoryinduced mot ion estimation using abdominal surface displacement as a surrogate: robotic phan tom and clinical validation with varied correspondence models)

    31-32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 Robotics is the subjec t of a report. According to news reporting out of Enschede, Netherlands, by News Rx editors, research stated, “This work presents the implementation of an RGB-D camera as a surrogate signal for liver respiratory-induced motion estimation. Th is study aims to validate the feasibility of RGB-D cameras as a surrogate in a h uman subject experiment and to compare the performance of different corresponden ce models.”

    Researchers from East China University of Science and Technology Describe Findin gs in Intelligent Systems (Semantic Mask-based Two-step Approach: a General Fram ework for X-ray Diffraction Peak Search In High-throughput Molecular Sieve Synth etic ...)

    32-33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 - Intelligent Systems. According to news reporting out of Shanghai, Pe ople’s Republic of China, by NewsRx editors, research stated, “Xray diffraction (XRD) is used for characterizing the crystal structure of molecular sieves afte r synthetic experiments. However, for a high-throughput molecular sieve syntheti c system, the huge amount of data derived from large throughput capacity makes it difficult to analyze timely.”

    National University of the Litoral Reports Findings in Machine Learning (3D prin ted PEDOT:PSS-based conducting and patternable eutectogel electrodes for machine learning on textiles)

    33-34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 from Santa Fe, Ar gentina, by NewsRx correspondents, research stated, “The proliferation of medica l wearables necessitates the development of novel electrodes for cutaneous elect rophysiology. In this work, poly(3,4-ethylenedioxythiophene) polystyrene sulfona te (PEDOT:PSS) is combined with a deep eutectic solvent (DES) and polyethylene g lycol diacrylate (PEGDA) to develop printable and biocompatible electrodes for l ong-term cutaneous electrophysiology recordings.”

    National University of Mongolia Reports Findings in Machine Learning (Amorphous MoS2 from a machine learning inter-atomic potential)

    34-35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 originating from Ulaanbaatar, Mongolia, by NewsRx correspondents, research stated, “Amorphous molybdenum disulfide has shown potential as a hydrogen evolution catalyst, but the origin of its high act ivity is unclear, as is its atomic structure. Here, we have developed a classica l inter-atomic potential using the charge equilibration neural network method, a nd we have employed it to generate atomic models of amorphous MoS2 by melting an d quenching processes.”

    Findings from University of Science and Technology China Update Knowledge of Rob otics and Automation (Event-triggered Learningbased Control of Quadrotors for A ccurate Agile Trajectory Tracking)

    35-35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 - Robotics and Automation. According to news reporting originating from Hefei, People’s Republic of China, by NewsRx correspondents, research stated, “ Accurate tracking control of agile quadrotors is challenging because of complica ted aerodynamic effects. In this letter, we develop a tunable event-triggered le arning-based control framework for quadrotors to achieve agile trajectory tracki ng in the presence of aerodynamic effects.”

    Reports Summarize Robotics Study Results from Universidad Politecnica de Madrid (A Review and Evaluation of Control Architectures for Modular Legged and Climbing Robots)

    36-36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 originating from Madrid, Spain, by NewsRx correspondents, research stated, “Robotic control is a fundamental part of autonomous robots.”

    Findings from Indian Council of Agricultural Research Central Institute on Post Harvest Engineering Technology Provides New Data about Machine Learning [Phototactic Response of Angoumois Grain Moth Sitotroga Cerealella (Olivier) To V isible ...]

    37-37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 Machine Learning. According to news reporting originating from Punjab, India, by NewsRx correspondents, research stated, “The Angoumois grain moth Sitotroga cer ealella (Olivier), a primary pest of food grain storage, poses serious problems in India and many other countries. The insect’s stronger phototaxis behaviour ha s been studied using monochromatic wavelengths in the visible spectrum.”

    Researchers from Tongji University Report New Studies and Findings in the Area of Robotics and Automation (N3-mapping: Normal Guided Neural Non-projective Signe d Distance Fields for Largescale 3d Mapping)

    38-38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 Ro botics - Robotics and Automation. According to news originating from Shanghai, P eople’s Republic of China, by NewsRx correspondents, research stated, “Accurate and dense mapping in large-scale environments is essential for various robot app lications. Recently, implicit neural signed distance fields (SDFs) have shown pr omising advances in this task.” Financial support for this research came from National Key Research and Developm ent Program of China.