In the 5G intelligent edge scenario, more and more accelerator-based single-board
computers (SBCs) with low power consumption and high performance are being used as …

The field of edge computing has grown considerably over the past few years, with
applications in artificial intelligence and big data processing, particularly due to its powerful …

In challenging scenarios characterized by low-photon conditions or the presence of
scattering effects caused by rain, fog, or smoke, conventional silicon-based cameras face …

Nowadays, drones can be seen in various applications in industry like surveillance and
transportation. Industrial drones leverage fully-fledged computer vision techniques, such as …

Edge computing aims at improving performance by storing and processing data closer to
their source. The k Nearest-Neighbor (k-NN) query is a common spatial query in several …

Nos dias de hoje, a maioria dos computadores são equipados com unidades de
processamento gráfico (GPUs) para prover capacidade massiva de paralelismo a baixo …

The extraction of 3D human pose and body shape details from a single monocular image is
a significant challenge in computer vision. Traditional methods use RGB images, but these …

Edge computing stands as a crucial component of the IoT revolution. IoT benefits
significantly from reduced latency, enhancing real-time applications, and time-sensitive …

МАШИННОЕ ОБУЧЕНИЕ В ФИЗИКЕ КОНДЕНСИРОВАННОГО СОСТОЯНИЯ КОРЗИНА
ПОИСК НАВИГАТОР ЖУРНАЛЫ КНИГИ ПАТЕНТЫ ПОИСК АВТОРЫ ОРГАНИЗАЦИИ …

The object tracking problem is a key one in computer vision, and it is critical in a variety of
applications such as guided missiles, unmanned aerial vehicles, and video surveillance …