Abstract The three‐dimensional (3D) gravity inversion problem is the process of delineating the volumetric mass distributions from the surface gravity anomalies. Recently, many innovative Convolutional Neural Network (CNN) based algorithms have found some success in reduction of computation costs and delineation of sharper boundaries of causative ...
Abhirup Chaudhuri +2 more
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Modeling of thermal errors for dual-spindle turning-milling compound machine tools based on hybrid networks. [PDF]
Lu W +5 more
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A General Tensorial Formulation of Acoustoelasticity and Its Representation in Cylindrical Coordinates. [PDF]
Ma Y, Xu C, Yang S, Chen C.
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Locally Encoded Secure Distributed Batch Matrix Multiplication. [PDF]
Jia H, Jia Z.
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Attribute based access control of geographic spatial data sharing using blockchain and smart contracts. [PDF]
Li S, Liu W, Wu Y, Wu X, Li L.
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Corrigendum to "Quantitative and stability study of the evolution of a thermoelastic body" [MethodsX 10 (2023) 101983]. [PDF]
Zinsou PH, Degla G, Ezzinbi K.
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Exploring strong controlled partial metric type spaces: Analysis of fixed points and theoretical contributions. [PDF]
Santina D +3 more
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