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    Recent Research from University of Ottawa Highlight Findings in Machine Learning (The Class Imbalance Problem In Deep Learning)

    38-39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 to newsoriginating from Ottawa, Canada , by NewsRx correspondents, research stated, “Deep learning has recentlyunleash ed the ability for Machine learning (ML) to make unparalleled strides. It did so by confrontingand successfully addressing, at least to a certain extent, the k nowledge bottleneck that paralyzed ML andartificial intelligence for decades.”

    Research from University of Sydney Yields New Study Findings onRobotics (Univer sal non-circular cone beam CT orbits for metal artifact reduction imaging during image-guided procedures)

    39-40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 of theUniversity of Sydney by NewsRx ed itors, research stated, “Innovation in image-guided procedures has beendriven b y advances in robotic Cone Beam Computed Tomography (CBCT) systems.”

    New Findings from Zhejiang University Update Understanding ofAndroids (Beyond E nd-effector: Utilizing High-resolution Tactile Signals for Physical Human-robot Interaction)

    40-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics - Androi ds are discussed in a new report. According tonews originating from Zhejiang, P eople’s Republic of China, by NewsRx correspondents, research stated,“This arti cle proposes a control framework for robots to apply their entire body as potent ial effectors inphysical human-robot interaction (pHRI) tasks. This framework i s implemented based on high-resolutionelectronic skin that covers the entire bo dy of the robot.”

    New Machine Learning Study Findings Have Been Reported from Technical University Darmstadt (TU Darmstadt) (What Can Machine Learning Help With Microstructure-in formed Materials Modeling and Design?)

    41-41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 Machine Learning. According to news reportingoriginating in Darmstadt, Germany, by NewsRx journalists, research stated, “Machine learning (ML)techniques have been widely employed as effective tools in addressing various engineering challe nges inrecent years, particularly for the challenging task of microstructure-in formed materials modeling. Thiswork provides a comprehensive review of the curr ent ML-assisted and data-driven advancements in thisfield, including microstruc ture characterization and reconstruction, multiscale simulation, correlations among process, microstructure, and properties, as well as microstructure optimizat ion and inverse design.”

    New Robotics Findings from Peking University Discussed (Development and 3-d Path -following Control of an Agile Robotic Manta With Flexible Pectoral Fins)

    42-42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 from Beijing,People’s Republic of China, by New sRx journalists, research stated, “The broad and powerful pectoral finsof manta rays are crucial to their efficient and maneuverable swimming. However, very li ttle is currentlyknown about the pectoral-fin-driven 3-D locomotion of manta-in spired robots.”

    Investigators at University of Science and Technology Beijing Report Findings in Robotics (Target Detection and Localization for Flapping-wing Robots Based On B iological Eagle-eye Vision)

    43-43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 originatingin Beijing, People’s Republic of Chi na, by NewsRx journalists, research stated, “In recent years, thedevelopment of flapping-wing robots (FWRs) has made rapid progress. However, the vision-based perceptionsystem of FWRs is still in its infancy, which seriously limits the ap plication of FWRs in militaryreconnaissance and civil monitoring.”

    Findings in the Area of Machine Learning Reported from IntegralUniversity (A De cadal Study of Pm2.5 Concentrations Over DelhiUsing Merra-2 and Ground Measurem ents: Predictive Insights Via Machine Learning)

    44-44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 Uttar Pradesh, India, by News Rx correspondents, research stated, “This study investigates thespatial and tem poral variations of PM2.5 concentrations in Delhi from 2014 to 2023, utilizing g roundbasedmeasurements from the Central Pollution Control Board (CPCB) and MER RA-2 reanalysis data.The analysis reveals strong positive correlations (r > 0.90) across all districts, highlighting city-wide factorsinfluencing PM2.5 le vels, such as vehicular emissions, industrial activities, and regional weather p atterns.”

    University of Bern Reports Findings in Liposomes (Leveraging machine learning to streamline the development of liposomal drug delivery systems)

    45-45页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Biotechnology - Liposo mes is the subject of a report. Accordingto news reporting originating in Bern, Switzerland, by NewsRx journalists, research stated, “Drug deliverysystems eff iciently and safely administer therapeutic agents to specific body sites. Liposo mes, sphericalvesicles made of phospholipid bilayers, have become a powerful to ol in this field, especially with the riseof microfluidic manufacturing during the COVID-19 pandemic.”

    New Findings on Robotics Described by Investigators at Xi’an Jiaotong University (Energy-efficient Trajectory Planning for a Class of Industrial Robots Using Pa rallel Deep Reinforcement Learning)

    46-46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 from Xi’an,People’s Republic of China, by NewsR x journalists, research stated, “With the widespread applicationof industrial r obots, there is growing interest in optimizing their energy consumption during m otionprocesses. Traditional methods typically rely on nonlinear optimization, w hich can effectively reduce theenergy consumption for a given task, but the opt imization is time-consuming so that challenging for fixedcontinuous production lines with evolving tasks.”

    New Findings from Sichuan University in the Area of Artificial Intelligence Desc ribed (Second-order Spatial Measures Low Overlap Rate Point Cloud Registration A lgorithm Based On Fpfh Features)

    47-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on Artificial Intelligence have bee n presented. According to news originatingfrom Yibin, People’s Republic of Chin a, by NewsRx correspondents, research stated, “When the sensordynamically colle cts point cloud data for object or map reconstruction, the registration effect i s poor andreconstruction application is difficult with a too low overlap rate o f the collected point cloud data. Thereason is that the objects are covered, th e sensor rotation angle is too large and the speed of movementis too fast.”