虚弱
发表于 2025-3-27 00:40:51
Tao Xu,Xuanyu Tao,Megan L. Kempher,Jizhong Zhouare missing and we speculate which criteria these methods/interfaces should satisfy. Finally it is noted that two important concerns are difficult to address with explanation methods: the concern about bias in datasets that leads to biased DNNs, as well as the suspicion about unfair outcomes.
Postmenopause
发表于 2025-3-27 01:36:44
Multiscale Active Flow Control,nd chaos everywhere in the flow to achieve its homogenization to the more complex control aimed to reduce such amplitude. Methodology relying on a mix of experimental and numerical assessment of the problems and of possible solutions is needed for mastering the level of difficulties involved in comp
弄污
发表于 2025-3-27 09:15:44
Harrie de Swart,Ad van Deemen,Eliora van der Hout,Peter Kop dann vollständig erfasst werden kann, wenn ihre praktische Dimension mit einbezogen wird. Dafür steht Henri Poincaré, der die tragende Rolle der Konventionen für die Theoriebildung in der Mathematik herausstel978-3-319-22366-7Series ISSN 2363-5118 Series E-ISSN 2363-5126
显微镜
发表于 2025-3-27 12:33:43
Book 2011zu Normsetzung auf völkerrechtlicher Ebene, durch die Individuen unmittelbar oder mittelbar betroffen sein können. Um die notwendige Akzeptanz zu finden, muss solche Hoheitsgewalt hinreichend legitimiert sein. Mithilfe eines öffentlich-rechtlichen Ansatzes wird am Beispiel des 1267-Sanktionsregimes
GENRE
发表于 2025-3-27 16:03:21
Social choice and resource allocation: a topological perspective,ons into which the papers that follow have been organized. Section 2 of this introduction, on “Social Choice and Resource Allocation”, surveys recent results on the relationship between social choice theory and resource allocation theory, a field covered in more detail in Chichilnisky’s paper in Sect. 1.
座右铭
发表于 2025-3-27 19:41:23
Machine Learning in Oil and Gas Industry,dels. Also, the use of machine learning in the oil and gas upstream is discussed with highlights on the recent advancement on the use of AI in the oil and gas industry. The challenges facing the application of machine learning in the oil and gas industry is also presented.