|
|
|
|
|
Meryem Ayach, Hajar Lazar, Christel Lamat, Abderrahim Bousouis, Meryem Touzani, Youssouf El Jarjini, Ilias Kacimi, Vincent Valles, Laurent Barbiero and Moad Morarech
The number and diversity of groundwater bodies (GWBs) in large French administrative regions pose challenges to their monitoring and protection by regional health agencies. To overcome this obstacle, we propose, for the Auvergne-Rhône-Alpes region (about...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tushar Ganguli and Edwin K. P. Chong
We present a novel technique for pruning called activation-based pruning to effectively prune fully connected feedforward neural networks for multi-object classification. Our technique is based on the number of times each neuron is activated during model...
ver más
|
|
|
|
|
|
|
|
|
|
|
Min Wang, Xiaoyu Song, Yu Han, Guantao Ding, Ruilin Zhang, Shanming Wei, Shuai Gao and Yuxiang Liu
In order to understand the pollution degree and source of potentially toxic elements (PTEs) in groundwater around the accident site and evaluate their harm to human health, 22 groundwater samples were collected around the accident well, and the contents ...
ver más
|
|
|
|
|
|
|
|
|
|
|
András Hubai, Sándor Szabó and Bogdán Zaválnij
The principal component analysis is a well-known and widely used technique to determine the essential dimension of a data set. Broadly speaking, it aims to find a low-dimensional linear manifold that retains a large part of the information contained in t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qingyong Zhang, Changhuan Song and Yiqing Yuan
Vehicle gearboxes are subject to strong noise interference during operation, and the noise in the signal affects the accuracy of fault identification. Signal denoising and fault diagnosis processes are often conducted independently, overlooking their syn...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yao Li, Jin Xie, Huitao Liu and Lipu Han
The alfalfa harvest time is determined by the alfalfa growth stage and the weather factors at that time, which will affect the yield and quality of the alfalfa hay. Addressing issues like the lack of precise harvesting timing and underutilized production...
ver más
|
|
|
|
|
|
|
|
|
|
|
Adriano Mancini, Francesco Solfanelli, Luca Coviello, Francesco Maria Martini, Serena Mandolesi and Raffaele Zanoli
Yield prediction is a crucial activity in scheduling agronomic operations and in informing the management and financial decisions of a wide range of stakeholders of the organic durum wheat supply chain. This research aims to develop a yield forecasting s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Han Lin Shang
A key summary statistic in a stationary functional time series is the long-run covariance function that measures serial dependence. It can be consistently estimated via a kernel sandwich estimator, which is the core of dynamic functional principal compon...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dongming Lu, Longyin Teng, Jianle Ren, Jiangyun Tan, Mengke Wang, Liping Wang and Guohua Gu
In this paper, principal component analysis is introduced to form a scene-based nonuniformity correction method for infrared focal plane arrays. The estimation of the gain and offset of the infrared detector and the correction of nonuniformity based on t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aleksandr Kulikov, Pavel Ilyushin and Anton Loskutov
Current microprocessor-based relay protection and automation (RPA) devices supported by IEC 61850 provide access to a large amount of information on the protected or controlled electric power facility in real time. The issue of using such information (Bi...
ver más
|
|
|
|
|
|