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Optimal Sensor Placement via a POD-QR Framework for High-Fidelity 3D Temperature Field Reconstruction in Large-Scale Ultra-Low Temperature Chest Freezers. [PDF]

Sensors (Basel)
Chen Y, Qu J, Xue Y, Liu B, Tang J, Wang J.   +5 more
europepmc   +1 more source

Topology-Dependent Modeling Fidelity of Lattice-Reinforced UAV Leading-Edge Structures Under Bird Strike Impact. [PDF]

Materials (Basel)
Muneer MA, Garofano A, Riccio A.
europepmc   +1 more source

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Multilinear Sparse Principal Component Analysis

IEEE Transactions on Neural Networks and Learning Systems, 2014
In this brief, multilinear sparse principal component analysis (MSPCA) is proposed for feature extraction from the tensor data. MSPCA can be viewed as a further extension of the classical principal component analysis (PCA), sparse PCA (SPCA) and the recently proposed multilinear PCA (MPCA).
Qingcai Chen, Zhihui Lai, David Zhang
exaly   +3 more sources