Abstract: Self-driving cars (SDCS) are beginning to selfdisrupt the transport industry through the guaranteed improvement of safety, speed, and comfort. However, the volatile and complex road ...
Abstract: Wildfires are a growing concern due to their catastrophic impacts on the environment, ecosystem services, biodiversity, and human settlements. Different fire detection systems face ...
President Donald Trump’s talk about America controlling Greenland have put this Arctic territory under the spotlight at a ...
China's autonomous driving industry has entered a new phase of accelerated development, as the country approved two cars with level-3 autonomous driving capabilities, marking the first time that such ...
Abstract: This paper presents a deep learning based approach to improve the accuracy of glaucoma detection using the EfficientNetB3, ResNet, and vison transformer (ViT) model. We propose a unique ...
Abstract: The shape and size of the placenta are closely related to fetal development in the second and third trimesters of pregnancy. Accurately segmenting the placental contour in ultrasound images ...
Abstract: Object detection has made remarkable advancement in recent years particularly through CNN-based algorithms, essential for autonomous vehicles. These vehicles need efficient detection systems ...
Abstract: Dynamic traffic flows at unsignalized intersections generate complex interaction cascades among different traffic participants, where indirect behavioral influences propa gate through ...
Abstract: Vitamin deficiency is a widespread global health issue that affects millions, often leading to severe physiological and dermatological complications. Early detection is essential for timely ...
Abstract: This paper explores the application of Iterative Learning Control (ILC) in enhancing lateral tracking of autonomous vehicles. A kinematic bicycle model ...
Abstract: Accurate monitoring of water resources is essential for disaster risk reduction and sustainable development amid global climate change. At present, various methods based on convolutional ...
Abstract: As terrestrial resources become increasingly depleted, the demand for deep-sea resource exploration has intensified. However, the extreme conditions in the deep-sea environment pose ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results