Metaheuristic algorithms are widely known as efficient solutions for solving problems of
optimization. These algorithms supply powerful instruments with significant engineering …

The disruptive technology of unmanned aerial vehicles (UAVs), or drones, is a trend with
increasing applications and practical relevance in the current and future society. Despite the …

The 0-1 knapsack problem is a typical NP-hard combinatorial optimization problem that is
difficult to solve efficiently based on traditional optimization approaches. Binary quantum …

Accurate estimates of plant transpiration (T sf) are essential to maximizing the efficient use of
water. When only considering the surface canopy resistance (rc), the Penman-Monteith (PM) …

Abstract Wireless Sensor Networks (WSN) are extensively used in different applications and
require several data-transmission routing strategies. Finding routes in these networks is …

Particle swarm optimization algorithm (PSO) is an effective metaheuristic that can determine
Pareto-optimal solutions. We propose an extended PSO by introducing quantum gates in …

The quality of asymptomatic corona virus disease 2019 (COVID-19) computed tomography
(CT) image is reduced due to interference from Gaussian noise, which affects the …

Hyperspectral images contain large spectral information with an abundance of redundancy
and a curse of dimensionality. Due to the absence of prior knowledge or availability of …

The Software Defined Networking (SDN) paradigm consist of decoupling the control from the
data plane. Recently, the adoption of the SDN paradigm as the basic architecture for …

Software-Defined Networking (SDN) is a new architecture with symmetric/asymmetric
network structures that separates the control plane of network devices from the data plane …