|
|
|
|
|
Xinyu Tian, Qinghe Zheng, Zhiguo Yu, Mingqiang Yang, Yao Ding, Abdussalam Elhanashi, Sergio Saponara and Kidiyo Kpalma
At present, the design of modern vehicles requires improving driving performance while meeting emission standards, leading to increasingly complex power systems. In autonomous driving systems, accurate, real-time vehicle speed prediction is one of the ke...
ver más
|
|
|
|
|
|
|
|
|
Nuno Abreu, Andry Pinto, Aníbal Matos and Miguel Pires
Point cloud processing is an essential task in many applications in the AEC domain, such as automated progress assessment, quality control and 3D reconstruction. As much of the procedure used to process the point clouds is shared among these applications...
ver más
|
|
|
|
|
|
|
|
|
Saad Inshi, Rasel Chowdhury, Hakima Ould-Slimane and Chamseddine Talhi
Predicting context-aware activities using machine-learning techniques is evolving to become more readily available as a major driver of the growth of IoT applications to match the needs of the future smart autonomous environments. However, with today?s i...
ver más
|
|
|
|
|
|
|
|
|
Daria Dmitrievna Belikova and Ravil Nurullovich Safiullin
In this article, the authors reviewed the existing system of weight control of heavy vehicles in the Russian Federation. In this research, the main shortcomings of the system, which prevent its effective functioning in relation to the use of road infrast...
ver más
|
|
|
|
|
|
|
|
|
Athila Santos, Na Liu and Muhyiddine Jradi
The digital transformation has paved the path for new services and efficient management across the value chain of the whole energy sector. For applications behind the meter, buildings stand out as a major contributor to energy consumption and correspondi...
ver más
|
|
|
|