CEOs must put projects, not operations, at the center of how their companies create value. Here’s how. by Antonio Nieto-Rodriguez In an environment of constant change, projects are how businesses ...
Abstract: Breast cancer remains a leading cause of mortality among women worldwide, emphasizing the critical importance of early and accurate detection in improving patient outcomes and treatment ...
Abstract: Magnetic resonance imaging (MRI) is an important tool for brain cancer diagnosis and classification. Combined with modern convolutional neural network (CNN) technology, it can effectively ...
Abstract: As powerful image editing software are more readily available, authentication of digital images poses a great problem. Most older forgery detection techniques relying on metadata inspection ...
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: A research project focuses on creating automated trash detection and classification through convolutional neural networks (CNNs) with an objective to improve waste management systems. The ...
A federal judge in New York ruled Friday that the Trump administration must unfreeze more than $16 billion earmarked for a major New York infrastructure project and allow construction to continue, ...
Abstract: Image forgery detection is a critical challenge in digital forensics, requiring advanced techniques to identify tampered regions in digital images. This research presents a novel deep ...
Abstract: Medical image encryption is a crucial area of research that focuses on protecting sensitive medical images from unauthorized access and ensuring patient confidentiality. Protecting medical ...
Abstract: In recent years, the increase of multimodal image data has offered a broader prospect for multimodal semantic segmentation. However, the data heterogeneity between different modalities make ...
Abstract: In remote sensing (RS), convolutional neural networks (CNNs) are well-recognized for their spatial–spectral feature extraction capabilities, whereas vision transformers (ViTs), which ...
LOS ANGELES (AP) — The Trump administration has not shied away from sharing AI-generated imagery online, embracing cartoonlike visuals and memes and promoting them on official White House channels.
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