Long‐term operation of robots creates new challenges to Simultaneous Localization and
Mapping (SLAM) algorithms. Long‐term SLAM algorithms should adapt to recent changes …

Abstract Unmanned Aerial Vehicles (UAVs), which can operate autonomously in dynamic
and complex environments, are becoming increasingly common. Deep learning techniques …

Embedded visual AI is a growing trend in applications requiring low latency, real-time
decision support, increased robustness and security. Visual object detection, a key task in …

Recent advances in mobile computing and embedded systems have had a transformative
impact in the field of Unmanned Aircraft Systems (UASs). These advances have unlocked a …

The current smoking recognition and detection system in my country is mainly based on an
intelligent analysis of the video, that is, target detection and recognition of smoking behavior …

In recent years, UNET (Ronneberger et al. 2015) and its derivative models have been widely
used in medical image segmentation with more superficial structures and excellent …

Abstract Unmanned Aerial Vehicles (UAVs) are becoming a growing necessity for a broad
range of applications, such as emergency response, monitoring critical infrastructures, and …

The deployment of deep neural network (DNN) models in software applications is increasing
rapidly with the exponential growth of artificial intelligence. Currently, such models are …

[ES] Durante la última década, se ha observado cómo la tecnología de Internet de las Cosas
(IoT) se ha posicionado dentro de la vida cotidiana de las personas, ya sea inmersa en el …

The mobile terminals used in the logistics industry can be exposed to wildly varying
environments, which may hinder effective operation. In particular, those used in cold …