SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval,https://arxiv.org/abs/2109.10086, 2021
IranAliIranSeyedIranHosseinzadehIranAliIranZareIranAmiriIranGholamrezaIranGhodratiIranInverse Problems in Science & EngineeringHOSSEINZADEH A Z, AMIRI G G, RAZZAGHI S. Model-based identification of damage from sparse sen- sor measurements using neumann series expansion[J]. Inverse Problems in Science...
Damage detection problem is defined as an inverse model-based problem and a new damage-sensitive cost function is introduced using calculated Generalised Flexibility Matrix and Modal Assurance Criterion. The second-order approximation of Neumann Series Expansion-based Model Reduction approach is employed ...
SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking In this work, we present a new first-stage ranker based on explicit sparsity regularization and a log-saturation effect on term weights, leading to highly sparse representations and competitive results with respect to state-of-the...
polynomial chaos expansionnon-intrusive methodstructural reliability analysisThe reliability analysis of a structural system is typically evaluated based on a multivariate model that describes the underlying mechanistic relationship between the system's input and output random variables. This is the need to ...
In this paper, we propose a k-level extended sparse array configuration consisting of one sparse subarray with k-level expansion and one uniform linear subarray. By systematically analyzing the inherent structure of the k-level extended sparse array, the closed-form expressions for sensor locations,...
2. Signal Model In this paper, we suppose that the spoofing attack contains 𝐿𝑆LS counterfeit PRN signals, which are transmitted from a single antenna, and there are 𝐿𝐴LA authentic signals incident on the extended coprime array. The discretized received signal vector 𝑥(𝑛)x(n) ...
Carbon fiber composites are commonly used in aerospace and other fields due to their excellent properties, and fatigue damage will occur in the process of service. Damage imaging can be performed using damage probability imaging methods to obtain the fat
In multiple response regression, the reduced rank regression model is an effective method to reduce the number of model parameters and it takes advantage of interrelation among the response variables. To improve the prediction performance of the multiple
2. Signal Model In this paper, we suppose that the spoofing attack contains 𝐿𝑆LS counterfeit PRN signals, which are transmitted from a single antenna, and there are 𝐿𝐴LA authentic signals incident on the extended coprime array. The discretized received signal vector 𝑥(𝑛)x(n) ...