Multimodel feature reinforcement framework using Moore–Penrose inverse for big data analysis
Fully connected representation learning (FCRL) is one of the widely used network structures
in multimodel image classification frameworks. However, most FCRL-based structures, for …
in multimodel image classification frameworks. However, most FCRL-based structures, for …
HKPM: A hierarchical key-area perception model for HFSWR maritime surveillance
High-frequency surface wave radar (HFSWR) has become the cornerstone of maritime
surveillance because of its low-cost maintenance and coverage of wide area. However …
surveillance because of its low-cost maintenance and coverage of wide area. However …
Deep Optimized Broad Learning System for Applications in Tabular Data Recognition
The broad learning system (BLS) is a versatile and effective tool for analyzing tabular data.
However, the rapid expansion of big data has resulted in an overwhelming amount of …
However, the rapid expansion of big data has resulted in an overwhelming amount of …
Deconvolution-and-convolution networks
2D Convolutional neural network (CNN) has arguably become the de facto standard for
computer vision tasks. Recent findings, however, suggest that CNN may not be the best …
computer vision tasks. Recent findings, however, suggest that CNN may not be the best …