|
|
|
|
|
Jesús Dassaef López-Barrios, Jesús Arturo Escobedo Cabello, Alfonso Gómez-Espinosa and Luis-Enrique Montoya-Cavero
In this paper, a mask region-based convolutional neural network (Mask R-CNN) is used to improve the performance of machine vision in the challenging task of detecting peduncles and fruits of green sweet peppers (Capsicum annuum L.) in greenhouses. One of...
ver más
|
|
|
|
|
|
|
|
|
Ravi Sekhar, Nitin Solke and Pritesh Shah
Lean and flexible manufacturing is a matter of necessity for the automotive industries today. Rising consumer expectations, higher raw material and processing costs, and dynamic market conditions are driving the auto sector to become smarter and agile. T...
ver más
|
|
|
|
|
|
|
|
|
Na Zhao
Accurate estimation of precipitation is critically important for a variety of fields, such as climatology, meteorology, and water resources. However, the availability of precipitation measurements has proved to be spatially inadequate for many applicatio...
ver más
|
|
|
|
|
|
|
|
|
Chongjiao Wang, Changrong Yao, Siguang Zhao, Shida Zhao and Yadong Li
The cost assessment of bridge maintenance is a difficult topic to study, but it is critical for a bridge life cycle cost analysis. The maintenance costs sample database was established in this study according to actual engineering data, and a bridge main...
ver más
|
|
|
|
|
|
|
|
|
Fengqi Tan, Changchun Bao and Jing Zhou
Adaptive beamforming and deconvolution techniques have shown effectiveness for reducing noise and reverberation. The minimum variance distortionless response (MVDR) beamformer is the most widely used for adaptive beamforming, whereas multichannel linear ...
ver más
|
|
|
|