Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...
Abstract: Breast cancer is one of the most prevalent and life-threatening diseases affecting women worldwide. Early and accurate diagnosis is critical for effective treatment and improved patient ...
WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
Abstract: Access to healthy food plays a crucial role in ensuring national food security. One of the main challenges in healthy food production is maintaining the quality of fruits, which are ...
Abstract: The UC Merced (UCM) land use dataset is a widely adopted benchmark for evaluating aerial image classification algorithms. This paper presents a comparative performance analysis of prominent ...
Abstract: In this paper, an improved convolutional neural network (CNN) model is proposed to solve the problems of traditional CNNS in processing some complex image classification tasks. By ...
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 ...
An interstellar comet first spotted passing through our solar system in July is beginning its departure from our corner of the universe — but first it will fly by Earth, and scientists are capturing ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback