Abstract The low‐rate DoS (LDoS) attack is a new kind of network attack which has the
characteristics such as low speed and good concealment. The software defined network, as …

Federated learning (FL) is a privacy-preserving learning technique that enables distributed
computing devices to train shared learning models across data silos collaboratively. Existing …

In the context of Precision Agriculture (PA), an extremely fine crop classification has recently
grown in importance. Satellite photos are often used to identify land use. Furthermore, this …

Electroencephalogram (EEG) signals are a cost-effective and efficient method to measure
and analyse neurological data and brain-related ailments. Autism Spectrum Disorder (ASD) …

In this manuscript, a new methodology based on a deep learning model using a Siamese
network and attention module was proposed to classify crop cultivation areas, such as onion …

Farmers are supported by European Union (EU) through contributions related to the
common agricultural policy (CAP). To obtain grants, farmers have to apply every year …

In the present paper, a hybrid deep learning diagonal recurrent neural network controller
(HDL-DRNNC) is proposed for nonlinear systems. The proposed HDL-DRNNC structure …

The crop type prediction in high resolution satellite images is challenging due to the lack of
ground truth labels. This reduces the crop prediction accuracy in satellite images. This work …

Understanding the relationship between land use and opium production is critical for
monitoring the dynamics of poppy cultivation and developing an effective counter narcotics …

Satellite images are taken in different conditions that are affected by the weather, the
atmosphere, the noise they contain, and the difference in lighting. In addition, the images …