An accurate identification of objects from the acquisition system depends on the clear
segmentation and classification of remote sensing images. With the limited financial …

The main goal of this research paper is to apply a deep neural network model for time series
forecasting of environmental variables. Accurate forecasting of snow cover and NDVI are …

In power fingerprint identification, feature information is insufficient when using a single
feature to identify equipment, and small load data of specific customers, difficult to meet the …

An early brain tumor diagnosis is crucial for effective and proactive treatment, which
improves the patient's survival rate. In this paper, we propose a novel Deep Convolutional …

Hyperspectral images can easily discriminate different materials due to their fine spectral
resolution. However, obtaining a hyperspectral image (HSI) with a high spatial resolution is …

Accurate canopy cover estimation is essential for mature and early-stage young forests, as it
guides forest management and silvicultural activities necessary for their growth and …

Abstract Land Use/Land Cover change detection is an inspiring, interesting task to be
performed worldwide. The real-time satellite data of the earth's surface and its different …

The proliferation of fake news has severe effects on society and individuals on multiple
fronts. With fast-paced online content generation, has come the challenging problem of fake …

The built environment is a significant contributor to global energy demand, particularly in the
Gulf Cooperation Council (GCC) countries, where it accounts for roughly two-thirds of total …

The main black land conservation measure in China is the straw return to the fields. The
processing of high-resolution images collected by aerial photography of UAVs through …