|
|
|
|
|
Benjamin Bett Cheruiyot
Pág. 88 - 97
The focus of this study was to investigate the influence of training strategies on employee performance in public university campuses in Kericho County, Kenya. The study was motivated by concerns on employee performance in public university campuses desp...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lei Li, Xiaobao Zeng, Xinpeng Pan, Ling Peng, Yuyang Tan and Jianxin Liu
Microseismic monitoring plays an essential role for reservoir characterization and earthquake disaster monitoring and early warning. The accuracy of the subsurface velocity model directly affects the precision of event localization and subsequent process...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jin Wang, Peng Zhao, Zhe Zhang, Ting Yue, Hailiang Liu and Lixin Wang
The upset state is an unexpected flight state, which is characterized by an unintentional deviation from normal operating parameters. It is difficult for the pilot to recover the aircraft from the upset state accurately and quickly. In this paper, an ups...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hugo Silva, Vítor Duque, Mário Macedo and Mateus Mendes
The International Classification of Diseases, 10th edition (ICD-10), has been widely used for the classification of patient diagnostic information. This classification is usually performed by dedicated physicians with specific coding training, and it is ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Haojie Lian, Xinhao Li, Leilei Chen, Xin Wen, Mengxi Zhang, Jieyuan Zhang and Yilin Qu
Neural radiance fields and neural reflectance fields are novel deep learning methods for generating novel views of 3D scenes from 2D images. To extend the neural scene representation techniques to complex underwater environments, beyond neural reflectanc...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaojuan Wang and Weilan Wang
As there is a lack of public mark samples of Tibetan historical document image characters at present, this paper proposes an unsupervised Tibetan historical document character recognition method based on deep learning (UD-CNN). Firstly, using the Tibetan...
ver más
|
|
|
|
|
|
|
|
|
|
|
Danilo Pau, Andrea Pisani and Antonio Candelieri
In the context of TinyML, many research efforts have been devoted to designing forward topologies to support On-Device Learning. Reaching this target would bring numerous advantages, including reductions in latency and computational complexity, stronger ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pablo Pérez, Víctor Toro-Román, Jesús Siquier-Coll, Ignacio Bartolomé and Francisco Javier Grijota Pérez
Carbohydrate intake is a commonly used strategy in sports, and supplementation for triathletes includes pre-competition, intra-competition, and post-competition intake. The consumption of fructose?glucose improves intestinal transit and gastric emptying....
ver más
|
|
|
|
|
|
|
|
|
|
|
Hongfeng Gao, Tiexin Xu, Renlong Li and Chaozhi Cai
Because the gearbox in transmission systems is prone to failure and the fault signal is not obvious, the fault end cannot be located. In this paper, a gearbox fault diagnosis method grounded on improved complete ensemble empirical mode decomposition with...
ver más
|
|
|
|
|
|
|
|
|
|
|
Minh-Quan Vo, Thu Nguyen, Michael A. Riegler and Hugo L. Hammer
Generative models have recently received a lot of attention. However, a challenge with such models is that it is usually not possible to compute the likelihood function, which makes parameter estimation or training of the models challenging. The most com...
ver más
|
|
|
|
|
|