Abstract: This research investigates the multidimensional domain of color image optimization design for emotional product color design, in this case, tricolor product color schemes. By introducing ...

Abstract: In the petroleum industry, light-quantum flowmeters can perform multiphase measurement of gas, liquid, and solid phases, which has attracted significant attention. However, their measurement ...

Abstract: Image steganography conceals secret data within a cover image to generate a new image (stego image) in a manner that makes the secret data undetectable. The main problem in image ...

Abstract: To address the discrepancy between geodetic coordinates provided by navigation equipment on autonomous underwater vehicles (AUVs) and Cartesian coordinates employed for calculating Euclidean ...

Abstract: Recently, the proposal of the least mean square (LMS) and recursive least squares (RLS) algorithm for graph signal processing (GSP) provides excellent solutions for processing signals ...

Abstract: This article proposes a distance measurement error suppression algorithm based on convolutional neural network (CNN)-Transformer-Bidirectional long short ...

The graph coloring problem involves coloring the nodes of a graph using the minimum number of colors such that no two adjacent nodes share the same color. This NP-hard problem has various real-world ...

Hyperspectral image (HSI) classification aims at categorizing each pixel in an HSI, facilitating precise identification and differentiation of various land cover types. In recent years, graph neural ...

Abstract: Vehicular edge-cloud collaborative computing is pivotal for addressing the demands of computation-intensive and latency-sensitive applications in future intelligent transportation systems.

Abstract: Reconfigurable manufacturing systems root mean square (rms) offer high flexibility, enabling efficient adaptation to changing market demands. However, this reconfigurability significantly ...