IEEE

Efficient Infrared Small Target Detection via Fixed-Rank Representation and Patch-Tensor Model

Abstract: Robust and efficient detection of infrared small targets is the key technology of the infrared search and tracking (IRST) system. Low-rank sparse decomposition (LRSD) is a powerful tool for ...
IEEE

PixTransNet: A Sensor-Aware CNN–Transformer Model for Magnetic Flux Leakage Defect Segmentation

Abstract: Magnetic flux leakage (MFL) is a widely used nondestructive evaluation technique for pipeline inspection. However, its signals are highly sensitive to noise and geometric distortions, ...
CNN

Tesla scraps Model S and Model X to build robots

Tesla CEO Elon Musk, who turned an upstart electric vehicle maker into an industry-changing powerhouse, is pulling the plug on the two models that helped get him there, as he struggles with another ...
CNN

‘A migration model based on human rights’: Spain to grant legal status to half a million undocumented migrants

Spain has announced it will grant legal status to 500,000 undocumented migrants, in a move that goes against a trend of anti-immigration rhetoric and policies in the United States and much of Europe.
IEEE

Neuron Abandoning Attention Flow: Visual Explanation of Dynamics Inside CNN Models

Abstract: In this paper, we present a Neuron Abandoning Attention Flow (NAFlow) method to address the unsolved problem of visually explaining the attention evolution dynamics inside CNNs when making ...
IEEE

A Novel Tensor Causal Convolution Network Model for Highly-Accurate Representation to Spatio-Temporal Data

Abstract: Spatio-temporal data like a Dynamically Weighted Directed Network (DWDN) are ubiquitous in bigdata applications like an intelligent recommender system. They commonly illustrate the complex ...
IEEE

Bayesian High-Order Tensor Completion Model With Its Applications in Social Intelligence

Abstract: Tensor completion is a powerful tool for social intelligence, finding widespread application in recommendation systems, social content mining, and social data recovery. However, existing ...
IEEE

TERM Model: Tensor Ring Mixture Model for Density Estimation

Abstract: Probabilistic modeling is a core challenge in statistical machine learning. Tensor-based probabilistic graph methods address interpretability and stability concerns encountered in neural ...
IEEE

Total Variational Model of Structure Tensor Based on Partial Differential Equation and Its Application in Planet-Bearing Fault Diagnosis

Abstract: When planet bearing operates under a complex and variable environment, the fault signal is often coupled with signals from other transmission components and is influenced by the transmission ...
IEEE

Attention Mechanisms-Based CNN Regression Model for Optimal Design of SPMSM

Abstract: This paper proposes an optimal design method for surface-mounted permanent magnet synchronous motors (SPMSMs) based on electromagnetic performance prediction using a convolutional neural ...
IEEE

A Multichannel CNN-LSTM-Based Prediction Model for Precipitable Water Vapor in a Region with a Single GNSS Station

Abstract: Accurate prediction of precipitable water vapor (PWV) is of great significance in meteorological applications. Global Navigation Satellite System (GNSS) is a widely used technique to obtain ...