Abstract: Spectral variability frequently presents a significant challenge for the unmixing process when employing the conventional linear mixture model to analyze remote sensing hyperspectral data.
Abstract: Cervical cancer remains one of the leading causes of cancer-related mortality among women globally, particularly in developing regions with limited access to early diagnostic tools.[3] This ...
The Irish government is implementing a pioneering scheme that will give 2,000 artists a basic income for three years, allowing them to focus on their creative output while maintaining an adequate ...
Abstract: This paper presents a comparative evaluation of four widely used object detection algorithms for bolt detection in robotic vision applications: Faster Region-based Convolutional Neural ...
With the development of Industry 4.0, there is increasing emphasis on automating assembly tasks traditionally performed manually by skilled workers [1]. These tasks often involve fasteners, such as ...
Abstract: Ultrasound detection can promptly identify partial discharge (PD) faults inside power transformer by using fiber-optic Fabry-Perot (F-P) array sensors. This paper presents a new design ...
Abstract: This paper addresses the limitations of existing convolutional neural network (CNN) models by proposing an advanced CNN algorithm (MCNN-RS) that incorporates Leaky ReLU,Swish activation ...
Abstract: This article proposes a distance measurement error suppression algorithm based on convolutional neural network (CNN)-Transformer-Bidirectional long short ...
Abstract: In the current digital era, social media has become a central platform for information exchange, yet the rapid and unregulated circulation of content makes it increasingly difficult to ...
Abstract: The proliferation of machine learning (ML) in sensitive domains like facial race classification has created an urgent need for mechanisms to remove data, driven by privacy regulations like ...
Abstract: Plant disease identification through leaves is an important aspect of crop health management for achieving the highest productivity. This research work compares the use of pre-trained ...