Abstract Machine learning is a branch of artificial intelligence that is being used at a large
scale to solve science, engineering, and medical tasks. Quantum computing is an emerging …

Documents are stored in a digital form across several organizations. Printing this amount of
data and placing it into folders instead of storing digitally is against the practical, economical …

This study aims to investigate the role of artificial intelligence (AI) driven facial recognition to
enhance a value proposition by influencing different areas of services in the travel and …

In the recent decades, the handwritten character recognition is still a challenging process in
the pattern recognition field. The handwritten digits and characters are not always of the …

Optical coherence tomography (OCT) is one of the principal imaging modalities for retinal
eye disease detection and classification. Different retinal eye diseases are the leading …

Parkinson's disease directly affects the nervous system are causes a change in voice, lower
efficiency in daily routine tasks, failure of organs, and death. As an estimate, nearly ten …

Identifying fruit disease manually is time-consuming, expertrequired, and expensive; thus, a
computer-based automated system is widely required. Fruit diseases affect not only the …

Sign language recognition and translation can address the communication problem
between hearing-impaired and general population, and can break the sign language …

The recent development in the area of IoT technologies is likely to be implemented
extensively in the next decade. There is a great increase in the crime rate, and the handling …

Traditional identification methods make it difficult to accurately determine the parameters of
the friction model. Based on the LuGre friction model, a hybrid optimization algorithm (HO) is …