Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in
dealing with various optimization problems in diverse fields, such as power and energy …

The main objective of this paper is to further improve the current time-series prediction
(forecasting) algorithms based on hybrids between machine learning and nature-inspired …

This paper gives an overview of the cutting-edge approaches that perform facial cue
analysis in the healthcare area. The document is not limited to global face analysis but it …

A novel type of coronavirus, now known under the acronym COVID-19, was initially
discovered in the city of Wuhan, China. Since then, it has spread across the globe and now it …

Artificial neural network (ANN) is an information processing paradigm that loosely models
the thinking patterns of the human brain with specifications such as real-time learning, self …

Computer vision is one of the most frontier technologies in computer science. It is used to
build artificial systems to extract valuable information from images and has a broad range of …

The cloud computing paradigm, as a novel computing resources delivery platform, has
significantly impacted society with the concept of on-demand resource utilization through …

This paper presents firefly algorithm framework for designing convolutional neural network
architecture. Convolutional neural networks can be classified as a special category of deep …

Convolutional neural networks have a broad spectrum of practical applications in computer
vision. Currently, much of the data come from images, and it is crucial to have an efficient …

Wireless sensor networks that are composed of a finite number of spatially distributed
autonomous sensors are widely used in different areas with many potential applications …