The era of artificial neural network (ANN) began with a simplified application in many fields
and remarkable success in pattern recognition (PR) even in manufacturing industries …

Heart disease is one of the key contributors to human death. Each year, several people die
due to this disease. According to the WHO, 17.9 million people die each year due to heart …

Deep learning (DL) algorithms have recently emerged from machine learning and soft
computing techniques. Since then, several deep learning (DL) algorithms have been …

As the demand for highly secure and dependable lightweight systems increases in the
modern world, Physically Unclonable Functions (PUFs) continue to promise a lightweight …

Quick response codes (QRCs) are found on many consumer products and often encode
security information. However, information retrieval at receiving end may become …

Granting smart device consumers with information, simply and quickly, is what drives quick
response (QR) codes and mobile marketing to go hand in hand. It boosts marketing …

Globally, recent research are focused on developing appropriate and robust algorithms to
provide a robust healthcare system that is versatile and accurate. Existing malaria models …

Over the years, numerous studies have been conducted on the integration of computer
vision and machine learning in plant disease detection. However, these conventional …

Epilepsy is one of the most severe non-communicable brain disorders associated with
sudden attacks. Electroencephalography (EEG), a non-invasive technique, records brain …

Real-time plant species detection plays an important role in fields ranging from medicine to
biodiversity conservation. Images captured under unconstrained environments, scale …