8 天前 - … This study effectively leveraged the extensive data available in star catalogs,
providing substantial support for the development of an infrared star calibration network, which …

8 天前 - … this study is to explore how integrating sensing technology … For the case study, we
propose an innovative methodology … Data streams generated by sensors equipped along the …

8 天前 - … This study presents a novel graph neural network-based fault diagnosis framework
for hydrogen extraction systems. To achieve this, a GAE-GCN model is developed to identify …

8 天前 - … the utility grid is facilitated by Link 16 wireless sensor networks. Furthermore, hybrid
gated recurrent unit (GRU) and graph convolutional network (GCN) model is introduced for …

8 天前 - … To achieve accurate monitoring of winter wheat chlorophyll content, this study
utilized 68 sets of chlorophyll content data and hyperspectral measurements collected during the …

8 天前 - … Based on the "source–sink" theory and climatology, this study has developed the
identification … City as the study area, we integrated meteorological data, remote sensing, and …

8 天前 - … The objectives of this study are to evaluate low-cost sensor networks for monitoring
PM2.5 and PM10 in urban settings, calibrate sensor data using machine learning models, …

8 天前 - … In this study, we first apply the channel copy operation to adapt 1D datasets for use
with … The contributions of this study are as follows: ● We proposed a transformation strategy …

8 天前 - … Therefore, firstly, this study aimed to propose an adaptive neuro-fuzzy sliding
mode controller to generate the optimal control signals, in which and an adaptive optimal multi-…

8 天前 - … Therefore a new study is created in this research. The objective of this study is to
create a … The present study accesses Landsat satellite images taken from 2010 to 2014 to …