Powering reforestation with data Now, more than ever, reforestation needs to be data-driven. As the climate warms, tree species may no longer be optimally adapted to their historical native regions and may have better survival elsewhere. Growers and planters need high-quality seed data to put t...
A data-driven approach to sponsorship planningLarry DeGarisMark DoddsJames T. Reese
数据驱动的员工入职和培训方法 | A Data-Driven Approach to Employee Onboarding and Training 制定入职计划时,需要考虑的因素有许多。 易用性很重要。可复制性也是需要考虑的一个因素。但是,任何人力资源经理都会告诉您,有效性才是最重要的因素。 但遗憾的是,很难对入职计划的有效性进行衡量。研究清楚地表明,有效...
A real-time approach to on-line building energy prediction was presented. In this paper, steam load is used to represent the heating and cooling load of buildings, as most of the steam consumption is absorbed by the two loads. Data-mining algorithms are used to develop a nonlinear mapping ...
Data transmission accounts for significant energy consumption in wireless sensor networks where streaming data is generated by the sensors. This impedes their use in many settings, including livestock monitoring over large pastures (which forms our targe
A data-driven approach to defining and cataloging exposure is needed to better understand associated outcomes and advance the field. Methods We utilized baseline data on 11,566 youth enrolled in the ABCD Study to catalog youth and caregiver-reported early life adversity exposure captured across 14 ...
A data driven approach to customer experience: Cisco Ready Platform Published: May 2022 The Cisco Ready Connected Experience platform, developed by Cisco IT, delivers focused access to a single, central customer database for 20,000 sales employees and 10,000 users from our channel partners. With...
ADATA-DRIVENAPPROACHTODISCOVERINGCOMMONBRAINANATOMYNeilI.Weisenfeld1,2,SimonK.Warfield11ComputationalRadiologyLaboratoryChildren’sHospitalHarvardMedicalSchool,Boston,MAand2DepartmentofCognitiveandNeuralSystemsBostonUniversity,Boston,MAABSTRACTAnatlasdefinesacommoncoordinatesystemtoenablethecomparisonofdatafromdifferent...
A data-driven approach using machine learning is presented for the identification of the critical flame location for the early detection of an incipient lean blowout (LBO) in a realistic gas turbine engine combustor under engine-relevant conditions. This method is demonstrated by utilizing the tempera...
Following a disaster, crucial decisions about recovery resources often prioritize immediate damage, partly due to a lack of detailed information on who will struggle to recover in the long term. Here, we develop a data-driven approach to provide rapid es