Multi-stack hybrid CNN with non-monotonic activation functions for hyperspectral satellite image classification

Bandyopadhyay, Mainak

doi:10.1007/s00521-021-06120-5

Cited by 13 publications

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In particular, the activation function for convolutional layers was changed from the rectifier linear unit (ReLU) to the Swish-based sigmoid linear unit (SiLU). This choice was made for the sake of increasing the final accuracy with an insignificant increase in computational complexity [ 46 , 47 ]. In the general case, Swish is an extension of the SiLU function, considering the parameter β calculated in the training process.…”

Section: Methodsmentioning

confidence: 99%

Integrated Video and Acoustic Emission Data Fusion for Intelligent Decision Making in Material Surface Inspection System

Чернов

Savvas

Alexandrov

et al. 2022

Sensors

View full text Add to dashboard Cite

In the field of intelligent surface inspection systems, particular attention is paid to decision making problems, based on data from different sensors. The combination of such data helps to make an intelligent decision. In this research, an approach to intelligent decision making based on a data integration strategy to raise awareness of a controlled object is used. In the following article, this approach is considered in the context of reasonable decisions when detecting defects on the surface of welds that arise after the metal pipe welding processes. The main data types were RGB, RGB-D images, and acoustic emission signals. The fusion of such multimodality data, which mimics the eyes and ears of an experienced person through computer vision and digital signal processing, provides more concrete and meaningful information for intelligent decision making. The main results of this study include an overview of the architecture of the system with a detailed description of its parts, methods for acquiring data from various sensors, pseudocodes for data processing algorithms, and an approach to data fusion meant to improve the efficiency of decision making in detecting defects on the surface of various materials.

show abstract

Section: Methodsmentioning

confidence: 99%