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    Data from ITMO University Advance Knowledge in Robotics (Nongradient-based Track ing of Environmental Field Isolines In a Changing Medium By Dubins-vehicle Type Robots)

    55-56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 are disc ussed in a new report. According to newsoriginating from St. Petersburg, Russia , by NewsRx correspondents, research stated, “A nonholonomicrobot of a Dubins-v ehicle type moves in a changing resistant medium, like water or air. The objecti veis to exhibit the extension of a spatial phenomenon (e.g., a critically conta minated area) related to adynamic environmental field (e.g., a distribution of the contaminant concentration).”

    Southern Medical University Reports Findings in Machine Learning (Systematic ana lyses of AISNPs screening and classification algorithms based on genome-wide dat a for forensic biogeographic ancestry inference)

    56-57页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on Machine Learning is the subject o f a report. According to news reportingfrom Guangdong, People’s Republic of Chi na, by NewsRx journalists, research stated, “Identifying thebiogeographic ances tral origin of biological sample left at a crime scene can provide important evi dencefor judicial case, as well as clue for narrowing down suspect. Ancestry in formative single nucleotidepolymorphism (AISNP) has become one of the most impo rtant genetic markers in recent years for screeningancestry information loci an d analyzing the population genetic background and structure due to their highnu mber and wide distributions in the human genome.”

    Data on Machine Learning Reported by Researchers at Nanjing University of Inform ation Science and Technology (NUIST) (The Important Role of Reliable Land Surfac e Model Simulation In Highresolution Multi-source Soil Moisture Data Fusion By ...)

    58-59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 out ofNanjing, People’s Republic of Chi na, by NewsRx editors, research stated, “While machine learning (ML) isused to correct gridded soil moisture (SM) products by fusing in-situ observations, the contribution of landsurface model (LSM)- and satellite-based SM products are ye t to be validated over a large area, leading toimprudent adoption of SM product (s) for data fusion. In this study, single or multiple SM products fromCSSPv2 L SM simulation, ERA5 and GLDASv2.1 reanalysis, and ESA-CCI satellite data with di fferentresolutions are used to train ML models and generate daily SM estimates at 0.0625(degrees) resolutionwith insitu measurements as target and relevant va riables as auxiliary.”

    Recent Findings from Tianjin University Has Provided New Information about Machi ne Learning (Simulation and Optimization of Co-pyrolysis Biochar Using Data Enha nced Interpretable Machine Learning and Particle Swarm Algorithm)

    60-61页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators publish new report on Machine Learn ing. According to news reporting originatingfrom Tianjin, People’s Republic of China, by NewsRx correspondents, research stated, “Co-pyrolysis is anadvanced t echnique used to optimize biochar by combining different biomass feedstock and a djustingprocess conditions. The H/N ratio and yield of biochar, along with fact ors such as nutrient content andspecific surface area, affect the adsorption an d pore structure of soil amendments.”

    Findings on Artificial Intelligence Discussed by Investigators at East China Uni versity of Science and Technology (Guest Editorial Special Issue On Learning The ories and Methods With Application To Digitized Process Manufacturing)

    62-63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 Ar tificial Intelligence. According to news reportingoriginating from Shanghai, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “Thedigiti zation of process manufacturing involves converting information and knowledge in to a digital formatthrough technologies, such as artificial intelligence (AI), the Internet of Things (IoT), blockchain, anddigital twins. This transformation promotes extension and optimization within the industrial, supply, andvalue ch ains, aiming to enhance decision-making efficiency, enable agile operations, and ensure informationsecurity and privacy.”

    Reports Outline Robotics and Automation Findings from Monash University (Motionp erceiver: Real-time Occupancy Forecasting for Embedded Systems)

    65-65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 - Robotics and Automation. Accordingto news reporting out of Clayton, Au stralia, by NewsRx editors, research stated, “This work introduces anovel and a daptable architecture designed for real-time occupancy forecasting that outperfo rms existingstate-of-the-art models on the Waymo Open Motion Dataset in Soft IO U. The proposed model usesrecursive latent state estimation with learned transf ormer-based functions to effectively update and evolvethe state.”

    Research from Taras Shevchenko National University Kyiv Reveals New Findings on Machine Learning (Which molecules can challenge density-functional tight-binding methods in evaluating the energies of conformers? investigation with ...)

    66-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on artificial intell igence are discussed in a new report. Accordingto news reporting out of Kyiv, U kraine, by NewsRx editors, research stated, “Large organic moleculesand biomole cules can adopt multiple conformations, with the occurrences determined by their relativeenergies.”

    New Findings from Harbin Institute of Technology in the Area of Robotics Reporte d (Disturbance Observer-based Control for Cabledriven Parallel Robots With Exte rnal Disturbance Using Deep Reinforcement Learning)

    67-67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 reporting fromHarbin, People’s Republic of China, by NewsRx journalists, research stated, “In cable-driven parallel robots(CDPRs) p ractical applications, external disturbances inevitably influence the actuator p erformance,leading to low positioning accuracy of end-effector (EE), and even s ystem crashes. This paper addressesa disturbance observer-based control scheme using deep reinforcement learning (RL) to suppress the effectof external distur bances.”

    University Cote d’Azur Reports Findings in Machine Learning (Benchmarking featur e selection and feature extraction methods to improve the performances of machin e-learning algorithms for patient classification using metabolomics biomedical d ata)

    69-69页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on Machine Learning is the subject o f a report. According to news reporting fromNice, France, by NewsRx journalists , research stated, “Classification tasks are an open challenge in thefield of b iomedicine. While several machine-learning techniques exist to accomplish this o bjective, severalpeculiarities associated with biomedical data, especially when it comes to omics measurements, preventtheir use or good performance achieveme nts.”

    New Machine Learning Study Findings Have Been Reported by Investigators at Wuhan University (A Mechanism-guided Machine Learning Method for Mapping Gapless Land Surface Temperature)

    71-72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 Learning have been presented. According to news reportingoriginating from Wuhan, People’s Re public of China, by NewsRx correspondents, research stated, “Moreaccurate, spat io-temporally, and physically consistent land surface temperature (LST) estimati on has beena main interest in Earth system research. Developing physics-driven mechanism models and data-drivenmachine learning (ML) models are two major para digms for gapless LST estimation, which have theirrespective advantages and dis advantages.”