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 reportingout of the National Research Institute of Astronomy and Geophysics (NRIAG) by NewsRx editors, researchstated , “This investigation concentrates on refining the accuracy of earthquake parame ters as reportedby various Saudi seismic networks, addressing the significant c hallenges arising from data discrepancies inearthquake location, depth, and mag nitude estimations.”
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 Harbin, People’s Republic of China, by NewsRx editors, research stated, “Mixed integer linearprogramming (MI LP) is an important problem in the combinatorial optimization domain, which has wideapplications in practical optimization scenarios. Given that most MILP prob lems fall into the NP-hardcategory, which the traditional methods may fail to s olve, recent research has tried to derive MILP solutionsusing machine learning techniques.”
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 tonews reporting out of Detroit, Michi gan, by NewsRx editors, research stated, “PurposeThis research aimsto forecast the ABI as a leading indicator of U.S. construction activities, applying multiva riate machinelearning predictive models over different horizons and utilizing t he nonlinear and long-term dependenciesbetween the ABI and macroeconomic and co nstruction market variables. To assess the applicability of themachine learning models, six multivariate machine learning predictive models were developed cons ideringthe relationships between the ABI and other construction market and macr oeconomic variables.”
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 Wuhan, People’s Republic of C hina, by NewsRx editors, research stated, “Physics informed neuralnetwork (PINN ) method is proposed to alleviate problems in many science and engineering scena rioswhen data-collection is difficult, or traditional numerical calculations ar e lack of convenience becausemore time-consuming numerical calculations are req uired whenever one or more parameters of the processis changed. However, for ad vanced manufacturing processes like laser melting (LM), a basis of lasermetal a dditive manufacturing, involve many complex physical phenomena (e.g. melting, co nvection,solidification, vaporization and interface evolution), the full equati ons of which are too complex to besolved by current PINN.”
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 originating from Beijing,People’s Republic of China, by NewsRx correspondents, research stated, “Dislocation slip-based crystalplastici ty models have been a great success in connecting the fundamental physics with t he macroscopicdeformation of crystalline materials. Pioneered by Taylor in his work on ‘plastic strain in metals’ (Taylor,1938), and further advanced by Bisho p and Hill (1951a, 1951b), the Taylor-Bishop-Hill theory laid thefoundation of today’s constitutive models on crystal plasticity.”
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 reportingfrom Anhui, People’s Republic of Chi na, by NewsRx journalists, research stated, “Soil type significantlyinfluences the detection accuracy of heavy metals using X-ray fluorescence (XRF) technology . Rapid andaccurate soil type identification is crucial for selecting appropria te XRF quantitative analysis methods forsoil heavy metals, thereby enhancing an alysis accuracy.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators publish new report on nanocomposite s. According to news originating from Seoul,South Korea, by NewsRx corresponden ts, research stated, “Fiber composites must be evaluated to achievecorrect use in various fields. Their properties, performance, condition, and integrity can b e quicklypredicted and optimized by machine learning (ML), after extensive trai ning, compared with experimentsand conventional computational simulations.”
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 originating fromShenzhen, People’s Republic of China, by NewsRx correspondents, research stated, “The interactive controlof lower li mb exoskeleton robots (LLERs) is important to achieve compliance and safety. Sig nificantchallenges in the interactive control of LLERs include how to accuratel y recognize human motion intention,how to accurately recognize the motion envir onment, and how to achieve natural, stable, and accurateinteractive control in accordance with the human motion intention and the environment.”
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 Artificial Intelligence. According to news reportingout of Brisbane, Australia, by NewsRx editors, research stated, “Artificial intelligence (AI) holds signifi cantpromise for advancing natural disaster management through the use of predic tive models that analyzeextensive datasets, identify patterns, and forecast pot ential disasters. These models facilitate proactivemeasures such as early warni ng systems (EWSs), evacuation planning, and resource allocation, addressingthe substantial challenges associated with natural disasters.”
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 originatingfrom Hangzhou, People’s Republi c of China, by NewsRx correspondents, research stated, “Measuringaccurate force /torque is a key factor for the cooperative robot to realize human-robot collabo rationtasks. However, integrating torque sensors into robot joints is still a c hallenge due to limitations includingsize, cost, and mismatched communication p rotocol.”
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