Bee swarm algorithm,Video security,Surveillance systemWith the concept of "wireless city", 3G, WIFI and other wireless network coverages have become more extensive. Data transmission rate has achieved a qualitative leap, providing feasibility for the implementation of mobile video surveillance solutions....
A new design method based on the artificial bee colony algorithm was introduced for designing low-and high-order digital IIR filters. The performance of the proposed method was compared with that of a well-known conventional optimization algorithm and particle swarm optimization algorithm on unimodal ...
The rest of this paper is organized as follows. “Related work” section reviews the related works. “Problem statement” section introduces the DTN architecture in detail and analyzes DTN construction problem. “Whale optimization algorithm” and “Adaptive boundary whale optimization algorithm” section...
A new design method based on artificial bee colony algorithm for digital IIR filters Digital filters can be broadly classified into two groups: recursive (infinite impulse response (IIR)) and non-recursive (finite impulse response (FIR)). A... N Karaboga - 《Journal of the Franklin Institute...
An input space was defined based on the input space used for MC sampling with extended parameter boundaries (Additional file 2: Table S1) to improve algorithm performance. For particles outside these boundaries, the cost function was infinite. Particle velocities were limited to 25% of the input...
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DeepMyopia as a deep learning algorithm, shows it capability in accurately predicting the risk of myopia onset. While several studies have attempted to use different predictors to predict later myopia onset and achieve commendable accuracy4,5,6,7,16, these studies mainly focused on using the basel...
Mahmoudi N, Orouji H, Fallah-Mehdipour E (2016) Integration of shuffled frog leaping algorithm and support vector regression for prediction of water quality parameters. Water Resour Manage 30(7):2195–2211 Google Scholar Maier HR, Morgan N, Chow CW (2004) Use of artificial neural networks ...
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Upon receiving error signal e(n), the controller uses this error and a control algorithm, such as the PID (proportional-integral-derivative) control, to compute control signal c(n), which is the intensity of light given to the cell. Discussion In this article, it was proposed digital ...