In conventional optimization problems, it is assumed that all relevant parametric constraints
remain stationary. In contrast, optimization problems encountered in practical applications …

Differential evolution (DE) is a robust evolutionary algorithm that has been applied for
various real world optimization problems. However, the performance of DE depends on the …

Computational Intelligence Applied to Inverse Problems in Radiative Transfer Page 1 Antônio
José da Silva Neto José Carlos Becceneri Haroldo Fraga de Campos Velho Editors …

Recent studies suggest that deep forest is also a kind of deep learning while overcoming the
problems of excessive parameters and hard-to-adjust parameters in deep neural networks …

In this paper, an improved method of multi-objective optimization for biochemical system
production is presented and discussed in detail. The optimization process of biochemical …

Key frame extraction is a very important task in video analytics. The extracted key frames are
used for video summarization and event detection for the given videos. This paper proposes …

Abstract Generative Adversarial Networks (or called GANs) is a generative type of model
which can be used to generate new data points from the given initial dataset. In this paper …

Accuracy of cancerous gene classification is a central challenge in clinical cancer research.
Microarray-based gene biomarkers have proved the performance and its ability over …

Key frame extraction is an integral part of video analytics. The extracted key frames are used
for video summarization and information retrieval. There exist many approaches for solving …

With the explosive growth of mobile videos, helping users quickly and effectively find mobile
videos of interest and further provide personalized recommendation services are the …