|
|
|
Hayat Ullah and Arslan Munir
The recognition of human activities using vision-based techniques has become a crucial research field in video analytics. Over the last decade, there have been numerous advancements in deep learning algorithms aimed at accurately detecting complex human ...
ver más
|
|
|
|
|
|
Rui-Yu Li, Yu Guo and Bin Zhang
Nonnegative matrix factorization (NMF) is an efficient method for feature learning in the field of machine learning and data mining. To investigate the nonlinear characteristics of datasets, kernel-method-based NMF (KNMF) and its graph-regularized extens...
ver más
|
|
|
|
|
|
Ali Azadi and Francisco José García-Peñalvo
Nowadays, according to the intention of many hospitals and medical centers to computerize their processes and medical treatments, including data forms and medical images, which are generating a considerable amount of data, IT specialists and data scienti...
ver más
|
|
|
|
|
|
Jihyun Kang and Joris Van Ouytsel
The COVID-19 pandemic led to changes in business communication. As face-to-face communication was no longer possible, many businesses shifted to Zoom because of its ease of use and user-friendly functionality. One unique context in which users were force...
ver más
|
|
|
|
|
|
Dan Yu, Hongjian Wang, Benyin Li, Zhao Wang, Jingfei Ren and Xiaoning Wang
The assessment of multiple incoming autonomous underwater vehicles (multi-AUVs) and threat prioritization are critical to underwater defense. To solve problems troubling multi-AUV threat assessment solutions, such as difficult data analysis, high subject...
ver más
|
|
|