查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating from Hangzhou, P eople’s Republic of China, by NewsRx correspondents, researchstated, “Classifyi ng skyrmionic textures and extracting magnetic Hamiltonian parameters represent crucialand challenging pursuits within the realm of two-dimensional (2D) spintr onics. In this study, we leveragemicromagnetic simulation and machine learning (ML) to theoretically achieve the recognition of ninedistinct skyrmionic textur es and the extraction of magnetic Hamiltonian parameters from extensive spintex ture images in a 2D Heisenberg model.”
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 reporting originating in Bei jing, People’s Republic of China, by NewsRx journalists, research stated,“This paper provides a comprehensive review of the current status, advancements, and f uture prospectsof humanoid robots, highlighting their significance in driving t he evolution of next-generation industries.By analyzing various research endeav ors and key technologies, encompassing ontology structure, controland decision- making, and perception and interaction, a holistic overview of the current state of humanoidrobot research is presented.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotic s - Robotics and Automation. According to news reporting from Zurich, Switzerlan d, by NewsRx journalists, research stated, “The automation ofhydraulic machiner y has the potential to improve productivity and reduce human labor in many industries. However, the complex dynamics of hydraulic actuators, variability from ma chine to machine, andsystem degradation over time make it challenging to design controllers for hydraulic machine automation.”
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 from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “Heterocycleswith saturate d N atoms (HetSNs) are widely used electron donors in organic light-emitting dio de (OLED)materials. Their relatively low bond dissociation energy (BDE) of exoc yclic C-N bonds has been closelyrelated to material intrinsic stability and eve n device lifetime.”
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 reportingfrom Shanghai, People’s Repub lic of China, by NewsRx journalists, research stated, “Estimating porosityfrom seismic data is critical for studying underground rock properties, assessing ene rgy reserves, andsubsequent reservoir exploration and development. For reservoi rs with strong heterogeneity, the endeavorto accurately and stably characterize spatial variations in porosity often encounters considerable challengesdue to the rapid lateral changes of formations.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Support Vector Machines have been published. According to newsreporting from Zhenjiang, People’s Republ ic of China, by NewsRx journalists, research stated, “In orderto solve the prob lems of the influence of nonlinearity and strong coupling on the control perform anceof six-pole radial hybrid magnetic bearing (HMB) system, a decoupling contr ol strategy based on leastsquare support vector machine (LSSVM) inverse system is proposed. The structure and operation principleof six-pole radial HMB are in troduced, the mathematical model of its suspension force is deduced, andthe rev ersibility of mathematical model is proved.”
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 robotics. According to news reporting out ofChengdu, People’s Republic of China , by NewsRx editors, research stated, “The optimization of robotcontroller para meters is a crucial task for enhancing robot performance, yet it often presents challengesdue to the complexity of multi-objective, multi-dimensional multi-par ameter optimization.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning - Support Vector Machines. Accordingto news originating from Hat Yai, Thailand, by NewsRx correspondents, research stated, “This articleinvestigates the temporal analysis of billion tree tsunami forests in Garhi Chandan area of Pakistan basedon three supervised methods, namely random forest algorithm (RFA) , principal component analysis (PCA)combined RFA and support vector machine (SV M). As a first step, the Sentinel-2 and Landsat-8 datafusion is performed to en hance the spatial resolution of the data to 10 m. The overlapping features in the data may compromise the classification accuracy, thus, to overcome this limita tion, PCA is utilized.”
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 out of St. Petersburg, Russ ia, by NewsRx editors, research stated, “The use of organic solventsin various industries poses significant environmental risks. Deep eutectic solvents (DESs) have emerged asa promising alternative due to their environmentally friendly pr operties.”Financial support for this research came from Ministry of Science and Higher Edu cation of the RussianFederation.
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 reportingout of Turin, Italy, by NewsRx edito rs, research stated, “Despite the many advantages and increasingadoption of Ele ctron Beam Powder Bed Fusion (PBF-EB) additive manufacturing by industry, curren tPBF-EB systems remain largely unstable and prone to unpredictable anomalous be haviours. Additionally,although featuring in-situ process monitoring, PBF-EB sy stems show limited capabilities in terms oftimely identification of process fai lures, which may result into considerable wastage of production timeand materia ls.”
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