IEEE

Joint Tensor Ring Decomposition and Unidirectional Total Variation for Seismic Data Denoising

Abstract: Low-rank tensor approximation (LRTA) techniques have demonstrated great promise for seismic data denoising due to their ability to capture multidimensional dependencies. However, most ...
IEEE

LRTA-SP: Low-Rank Tensor Approximation With Saliency Prior for Small Target Detection in Infrared Videos

Abstract: Existing approaches still face issues, such as the lack of spatial–temporal information and target prior information, as well as low detection efficiency when dealing with small infrared (IR ...
Hacker

Evaluating Path Planning Algorithms: Real-Time vs. Incremental Search

Your browser does not support the audio element. (1) Aya Kherrour, Department of Information Engineering and Computer Science University of Trento; (2) Marco Robol ...
Frontiers

Enhancing e-commerce recommendation systems through approach of buyer's self-construal: necessity, theoretical ground, synthesis of a six-step model, and research agenda

The current recommendation system predominantly relies on evidential factors such as behavioral outcomes and purchasing history. However, limited research has been conducted to explore the use of ...