Significant advances have been achieved in object detection techniques using visible
images for applications that include military operations, autonomous driving, and security …

Modern approach to artificial intelligence (AI) aims to design algorithms that learn directly
from data. This approach has achieved impressive results and has contributed significantly …

This paper introduces an innovative approach to Wind Turbine Blade (WTB) inspection
through the synergistic use of thermal and RGB imaging, coupled with advanced deep …

The main goal of this paper is to present new possibilities for the detection and recognition
of different categories of electric and conventional (equipped with combustion engines) …

This article presents the use of the combination of the object detection method and feature
detector in an infrared video on traffic infrastructure and in tunnels. The theme of the paper is …

The integration of thermal imaging data with multimodal large language models (MLLMs)
offers promising advancements for enhancing the safety and functionality of autonomous …

With the increase in the amount of images online, the whole Internet is becoming an image
database. Since there are so many available images, it is difficult for users to find the desired …

Objective Research on auxiliary diagnosis of primary bone tumors can enhance diagnostic
accuracy, facilitate early detection, and enable personalized treatment, thereby reducing …

The integration of thermal imaging data with Multimodal Large Language Models (MLLMs)
constitutes an exciting opportunity for improving the safety and functionality of autonomous …

摘要目的: 开发机器学习模型, 并评估其在膝关节周围原发性骨肿瘤诊断方面的准确性. 方法:
本文将深度卷积神经网络(DCNN) 这一深度学习方法应用于膝关节X 线图像的影像组学分析 …