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    Data on Machine Learning Reported by Researchers at University of Maryland (Asse ssing the Accuracy of Machine Learning Interatomic Potentials In Predicting the Elemental Orderings: a Case Study of Li-al Alloys)

    87-87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 College Park, Maryland, by Ne wsRx correspondents, research stated, “In atomistic modeling, machinelearning i nteratomic potential (MLIP) has emerged as a powerful technique for studying all oy materials.However, given that MLIPs are often trained on a limited set of ma terials, a concern remains regardingthe MLIP’s capability to make accurate pred ictions for a wide variety of phases, compositions, latticestructures, and elem ental orderings across alloy systems.”

    Researchers from I.K. Gujral Punjab Technical University Report on Findings in M achine Learning (Mapping of Debris-covered Glaciers Using Object-based Machine L earning Technique)

    88-88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 is th e subject of a report. According to newsreporting originating in Punjab, India, by NewsRx journalists, research stated, “Debris-covered glaciersin High Mounta in Asia are important indicators of climatic variability. The present study prop osed animproved glacier mapping technique based on a TIRS/(RED/SWIR) band ratio that integrates thermalinfrared (TIR), visible red, and shortwave infrared (SW IR) reflectance information with slope parameterto map debris-covered areas.”

    New Robotics and Automation Study Findings Reported from Fudan University (Cente rcoop: Center-based Feature Aggregation for Communication-efficient Vehicle-infr astructure Cooperative 3d Object Detection)

    89-89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 reporting out of Sh anghai, People’s Republic of China, by NewsRx editors, researchstated, “Vehicle -Infrastructure Cooperative (VIC) 3D object detection is a challenging task for balancingcommunication bandwidth and detection performance. Intermediate fusion is recently studied to reach abetter balance by transferring feature maps.”

    University of Pittsburgh Reports Findings in Personalized Medicine (Perspective on quantitative phase imaging to improve precision cancer medicine)

    90-90页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of areport. According to news reporting fr om Pittsburgh, Pennsylvania, by NewsRx journalists, researchstated, “Quantitati ve phase imaging (QPI) offers a label-free approach to non-invasively characteri zecellular processes by exploiting their refractive index based intrinsic contr ast. QPI captures this contrastby translating refractive index associated phase shifts into intensity-based quantifiable data with nanoscalesensitivity.”

    Researchers from Harbin Institute of Technology Report on Findings in Robotics ( Scalable Wing Sailing and Snowboarding Enhance Efficient and Energy-saving Mobil ity of Polar Robot)

    91-91页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics are presented i n a new report. According to news originatingfrom Harbin, People’s Republic of China, by NewsRx correspondents, research stated, “The polar regionshave typica l representative characteristics of the Earth’s environmental background, and co nductingscientific exploration here is of great significance. Although a large number of polar robots have beendesigned and applied, efficient and pollution-f ree mobile operations still face challenges.”

    Data from Lanzhou University Provide New Insights into Computational Intelligenc e (Collaborative Neural Solution for Time-varying Nonconvex Optimization With No ise Rejection)

    92-92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 - Computational Intelligence.According to news reporting out o f Lanzhou, People’s Republic of China, by NewsRx editors, researchstated, “This paper focuses on an emerging topic that current neural dynamics methods general ly failto accurately solve time-varying nonconvex optimization problems especia lly when noises are taken intoconsideration. A collaborative neural solution th at fuses the advantages of evolutionary computation andneural dynamics methods is proposed, which follows a meta-heuristic rule and exploits the robust gradient-based neural solution to deal with different noises.”

    Investigators from Beijing Institute of Technology Report New Data on Robotics ( Robotic Grasp Detection With 6-d Pose Estimation Based On Graph Convolution and Refinement)

    92-93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 Beijing, People’s Republic of C hina, by NewsRx correspondents, research stated, “Six-dimensional (6-D) object p ose estimation plays a critical role in robotic grasp, which performs extensive usage inmanufacturing. The current state-of-the-art pose estimation techniques primarily depend on matchingkeypoints.”

    Data on Robotics and Automation Described by Researchers at Biomedical Universit y of Rome (Robust Upper Limb Kinematic Reconstruction Using a Rgb-d Camera)

    93-94页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics - Robotics and Automation are presented in a new report.According to news reporting originatin g from Rome, Italy, by NewsRx correspondents, research stated,“In this letter, we propose a new approach for human motion reconstruction based on Gaussian Mixt ureProbability Hypothesis Density (GM-PHD) Filter applied to human joint positi ons extracted from RGB-Dcamera (e.g. Kinect). Existing inference approaches req uire a proper association between measurementsand joints, which cannot be maint ained in case of the multi-tracking occlusion problem.”

    Harbin Medical University Reports Findings in Psoriasis (Single-cell sequencing analysis and multiple machine-learning models revealed the cellular crosstalk of dendritic cells and identified FABP5 and KLRB1 as novel biomarkers for psoriasis)

    94-95页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Skin Diseases and Cond itions - Psoriasis is the subject of a report.According to news reporting out o f Harbin, People’s Republic of China, by NewsRx editors, researchstated, “Psori asis is an immune-mediated disorder influenced by environmental factors on a gen etic basis.Despite advancements, challenges persist, including the diminishing efficacy of biologics and small-moleculetargeted agents, alongside managing rec urrence and psoriasis-related comorbidities.”

    Studies from School of Applied Sciences Add New Findings in the Area of Machine Learning (Electronic Nose and Optimized Machine Learning Algorithms for Noninfus ed Aroma-based Quality Identification of Gambung Green Tea)

    95-96页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Machine Learning. According to news reporting out of Bandung,Indonesia, by NewsRx editors, resear ch stated, “Tea is a widely consumed beverage globally, significantlyimpacting taste, aroma, and consumer satisfaction. Traditional methods of assessing tea qu ality rely onsubjective sensory evaluation by expert panels, which can be time- consuming, expensive, and prone tobiases.”