Deep learning (DL) represents the golden era in the machine learning (ML) domain, and it
has gradually become the leading approach in many fields. It is currently playing a vital role …

In agriculture, plant diseases are primarily responsible for the reduction in production which
causes economic losses. In plants, citrus is used as a major source of nutrients like vitamin …

Information fusion is a key step in multimodal biometric systems. The fusion of information
can occur at different levels of a recognition system, ie, at the feature level, matching-score …

In this article, we address the problem of an image-based automatic classification of waste
materials. Given the large number of waste categories and the importance of proper …

Electroencephalography (EEG) based biometric systems are gaining attention for their anti-
spoofing capability but lack accuracy due to signal variability at different psychological and …

Human action recognition (HAR) has become a hot topic in the field of computer vision and
pattern recognition due to its wide range of application prospects. In most deep learning and …

Due to large distances between surveillance cameras and subjects, the captured images
usually have low resolution in addition to uncontrolled poses and illumination conditions that …

The successful launch and operation of the Sentinel satellite platform has provided access
to freely available remotely sensed data useful for commercial forest species discrimination …

Recently, automated disease diagnosis based on medical images has become an integral
component of digital pathology packages. Texture analysis is commonly used to address …

Web user behavioural recognition is the process by which web users are identified and
distinguished through behavioural features. In this work, two sources of behavioural …