Abstract: In real-life scenarios, the field-of-view angles captured by cameras are typically constrained. This has led to a growing demand for panoramic images to cater to various applications, such ...

Social media companies and their respective algorithms have repeatedly been accused of fueling political polarization by promoting divisive content on their platforms. Now, two U.S. Senators have ...

Abstract: In recent years, deep convolutional neural networks (CNN) have been widely used in synthetic aperture radar (SAR) image recognition. However, due to the difficulty in obtaining SAR image ...

A new technical paper titled “Scanning electron microscopy-based automatic defect inspection for semiconductor manufacturing: a systematic review” was published by researchers at KU Leuven and imec.

我找了一个数据集的图片尺寸是[1914,1052]，按照默认训练参数的imgsz=640，出现了下面这样的警告 ...

Magnetic resonance imaging (MRI) is a popular imaging modality in preclinical research because it delivers multiparametric information on tissues and organs in a noninvasive manner. The small ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Language model routing is a growing field focused on optimizing the utilization of large language models (LLMs) for diverse tasks. With capabilities spanning text generation, summarization, and ...

To design an applicable chaos-based image encryption algorithm for IoT devices, the complexity of the employed chaotic systems is also an important issue that cannot be ignored. The simple structures ...