To address the limitations of current sensor systems for field applications, the research
community has been actively exploring new technologies that can advance the state-of-the …

The computer-based approach is required for the non-invasive detection of chronic liver
diseases that are asymptomatic, progressive, and potentially fatal in nature. In this study, we …

This work presents a generic computer vision system designed for exploiting trained deep
Convolutional Neural Networks (CNN) as a generic feature extractor and mixing these …

Abstract Facial Expression Recognition (FER) is an important area in human computer
interaction. FER has different applications such as analysis of student behaviour in virtual …

Human recognition systems based on biometrics are much in demand due to increasing
concerns of security and privacy. The human ear is unique and useful for recognition. It …

Feature extraction is essential for solving image classification by transforming low-level pixel
values into high-level features. However, extracting effective features from images is …

Steady improvements of image description methods induced a growing interest in image-
based plant species classification, a task vital to the study of biodiversity and ecological …

Although Global Navigation Satellite Systems (GNSSs) generally provide adequate
accuracy for outdoor localization, this is not the case for indoor environments, due to signal …

Being able to extract effective features from different images is very important for image
classification, but it is challenging due to high variations across images. By integrating …

Cancer identification and classification from histopathological images of the breast depends
greatly on experts, and computer-aided diagnosis can play an important role in …