A sensor is a tool used to directly measure the test compound (analyte) in a sample. Ideally,
such a device is capable of continuous and reversible response and should not damage the …

With the rapid development of low-cost consumer electronics and pervasive adoption of next
generation wireless communication technologies, a tremendous amount of data has been …

Collecting and analyzing massive data generated from smart devices have become
increasingly pervasive in crowdsensing, which are the building blocks for data-driven …

Abstract Harris Hawks Optimization (HHO) algorithm is a newly proposed meta-heuristic
optimization algorithm that simulates the hunting process of the Harris hawks. It has the …

Grey wolf optimization (GWO) is a widely used meta‐heuristic method. It has limited
searching potential when solving the majority of function optimization problems. This paper …

Harris hawks optimization (HHO) is one of the leading optimization approaches due to its
efficacy and multi-choice structure with time-varying components. The HHO has been …

Face recognition is one of the popular areas of research in the field of computer vision. It is
mainly used for identification and security system. One of the major challenges in face …

Parameter estimation of photovoltaic models is a critical step in the control and management
of photovoltaic equipment. In this study, to estimate photovoltaic model parameters efficiently …

Many applications rely on continual data collection to provide real-time information services,
eg, real-time road traffic forecasts. However, the collection of original data brings risks to …

Feature selection has become significantly important for data analysis. It selects the most
informative features describing the data to filter out the noise, complexity, and over-fitting …