Faster-RCNN是目标检测领域的重要里程碑，它首次将Region Proposal Networks(RPN)与Fast R-CNN相结合，实现了端到端的训练 ...

New Year’s is a shared reset for much of the world, a moment people use to wipe the slate clean and step into the coming year with a fresh start. The night itself is filled with countdowns, fireworks, ...

Abstract: In this paper, we adapt the Faster-RCNN framework for the detection of underground buried objects (i.e. hyperbola reflections) in B-scan ground penetrating radar (GPR) images. Due to the ...

During its mission, Stardust captured an impact traveling at a velocity nearly 19 times the speed of sound—far faster than mission planners ever anticipated. The strike left sensors rattled and data ...

在智慧水务和智能城市建设中，机械水表数字的自动化识别是一项关键技术。传统的水表读数方式依赖人工抄表 ...

Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...

Spiking Neural Networks (SNNs), inspired by neuroscience principles, have gained attention for their energy efficiency. However, directly trained SNNs lag behind Artificial Neural Networks (ANNs) in ...

Aim: This study aims to develop a robust and lightweight deep learning model for early brain tumor detection using magnetic resonance imaging (MRI), particularly under constraints of limited data ...

ABSTRACT: Timely and accurate detection of plant diseases is essential for improving crop yields and ensuring food security, particularly in regions like Cameroon, where farmers often rely on visual ...