Abstract: “Mixels” are usually the biggest reason for degrading the image quality especially for remote sensing or satellites images. In this paper we present an approach for resolving the mixed pixels by using optimization algorithm i.e. Biogeography based optimization and genetic algorithm. The hybrid approach is used for resolving super pixel problem. This paper deals with the comparison of ...

We report a systematic study on the performance characteristics of a high-power, high-repetition-rate, picosecond ultraviolet (UV) source at 266 nm based on β-BaB2O4 (BBO). The source, based on single-pass fourth harmonic generation (FHG) of a compact Yb-fiber laser in a two-crystal spatial walk-off compensation scheme, generates up to 2.9 W of average power at 266 nm at a pulse repetition rate...

The significance of accurate heating load (HL) approximation is the primary motivation this research to distinguish most efficient predictive model among several neural-metaheuristic models. proposed models are formulated through synthesizing a multi-layer perceptron network (MLP) with ant lion optimization (ALO), biogeography-based (BBO), dragonfly algorithm (DA), evolutionary strategy (ES), i...

The physical and mechanical properties of the loess differ from other kinds soil due to its collapsibility, which has resulted in complex displacement development law slope. Therefore, accurate estimation high slopes a gully region is critical for safety people construction activities. In present study, improve accuracy traditional methods, original cumulative curve was decomposed into trend fl...

“Segmentation” refers to the process of dividing a digital image into multiple segments such as sets of pixels, also known as super pixels. The main objective of segmentation is to simplify and/or change the representation of an image into meaningful image that is more appropriate and easier to analyze. “Image segmentation” is an important aspect of digital image processing. Color images can in...

This paper presents a new hybrid algorithm generated by combining advantageous features of the Imperialist Competitive Algorithm (ICA) and Biogeography Based Optimization (BBO) to create an effective search technique. Although ICA performs fairly well in exploration phase, it is less exploitation stage. In addition, its convergence speed problematic some instances. Meanwhile, BBO method's migra...

A single-resonant low-threshold type-I β-Ba2BO4 (BBO) optical parametric oscillator (OPO) with tunable output from 410 nm to 630 at 5 kHz repetition rate is reported. By taking the noncollinear phase matching method, OPO operation could be obtained compared configuration of collinear matching, and maximum optical–optical conversion efficiency 11.8% was achieved 500 wavelength when 0.4 mJ pump p...

(Background) We proposed a novel computer-aided diagnosis (CAD) system based on the hybridization of biogeography-based optimization (BBO) and particle swarm optimization (PSO), with the goal of detecting pathological brains in MRI scanning. (Method) The proposed method used wavelet entropy (WE) to extract features from MR brain images, followed by feed-forward neural network (FNN) with trainin...