Support vector machines (SVMs) are a supervised classifier successfully applied in a
plethora of real-life applications. However, they suffer from the important shortcomings of …

Eye tracking refers to the process of tracking the movement of the eye and determining
where the user is looking. The aim of this paper is to present a review on various techniques …

Skin disease cases are rising in prevalence, and the diagnosis of skin diseases is always a
challenging task in the clinic. Utilizing deep learning to diagnose skin diseases could help to …

Three-dimensional hand gesture recognition has attracted increasing research interests in
computer vision, pattern recognition, and human-computer interaction. The emerging depth …

Developing an automatic weeding system requires robust detection of the exact location of
the crop to be protected from damage. Computer vision techniques can be an effective …

Skin diseases are becoming a most common health issues among all the countries
worldwide. The method proposed in this work detects four types of skin diseases using …

This paper presents a complete approach to a successful utilization of a high-performance
extreme learning machines (ELMs) Toolbox for Big Data. It summarizes recent advantages …

Skin detection plays an important role in a wide range of image processing applications
ranging from face detection, face tracking, gesture analysis, content-based image retrieval …

Developing automatic diagnostic tools for the early detection of skin cancer lesions in
dermoscopic images can help to reduce melanoma-induced mortality. Image segmentation …

In order to address the challenge of labor shortages, and to reduce costs of apple
harvesting, a targeted shake-and-catch technique is being developed at Washington State …