For various forms of skin lesion, many different feature extraction methods have been
investigated so far. Indeed, feature extraction is a crucial step in machine learning …

With the advent of technology, we are getting more comfortable with the use of gadgets,
cameras, etc., and find Artificial Intelligence as an integral part of most of the tasks we …

Skin cancer is one of the most common forms of cancer, which makes it pertinent to be able
to diagnose it accurately. In particular, melanoma is a form of skin cancer that is fatal and …

The smart home is now an established area of interest and research that contributes to
comfort in modern homes. With the Internet being an essential part of broad communication …

Surveillance system is acquiring an ample interest in the field of computer vision. Existing
surveillance system usually relies on optical or wearable sensors for indoor and outdoor …

Biometrics is a powerful tool for identifying and authenticating persons based on their
unique characteristics. Finger vein (FV) seems to be an emerging biometric of all types of …

Human activity recognition (HAR) is a process of identifying the daily living activities of an
individual using a set of sensors and appropriate learning algorithms. Most of the works on …

Diabetic retinopathy (DR) can be categorized on the basis of prolonged complication in the
retinal blood vessels which may lead to severe blindness. Early stage prediction and …

Articulating an individual behavior analysis from a video stream is considered by most
researchers. It has its own applications in the field of computer vision-based Human activity …

This work uses machine learning approaches to present semantic segmentation for land
cover classification in Gambella National Park (GNP). Land cover classification has become …