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Disulfide connectivity is an important protein structural characteristic. Accurately predicting disulfide connectivity solely from protein sequence helps to improve the intrinsic understanding of protein structure and function, especially in the post-genome era where large volume of sequenced proteins without being functional annotated is quickly accumulated. In this study, a new feature extracted...
This paper proposes a cell type-independent mitosis event detection method based on hidden-state conditional neural fields in time-lapse phase contrast microscopy sequences of stem cell populations. This method proceeds through three steps. First, we apply the imaging model-based microscopy image segmentation method and volumetric region growing to extract candidate sequences. Then, we extract the...
With the minimization development of electronic devices and products, nanotechnology and nanomaterials are widely applied in different fields of electronic packaging. Carbon nanotube (CNT) is an ideal material due to its excellent electrical and thermal conductivities. In the present paper, the application of CNT bundles as chip bumps was experimentally investigated. The electrical resistances of...
An improved quantum genetic algorithm (IQGA) is proposed for path planning of mobile robot in unknown environment, which uses problem-specific quantum genetic algorithm for robot path planning instead of the standard genetic algorithm(GA) and quantum genetic algorithm(QGA). Six genetic operators operated chromosomes and improved fitness function to evaluate new individuals, and this algorithm is capable...
The course timetabling problem (CTP), as a typical combinatorial optimization problem (COP), has been proved to be NP-Complete. Due to its complexity, the general genetic algorithm converges slowly and easily converges to local optima. A novel quantum-inspired evolutionary algorithms (QEA) is put forward for the CTP. The QEA uses genetic operators of Q-bit as well as updating operator of quantum gate...
Dominance-based rough set approach is an useful extension of the classical rough set approach and it has been successfully applied into multi-criteria decision analysis problems. This paper present an explorative research focusing on knowledge reduction of fuzzy rough set model in fuzzy decision system. The investigated fuzzy rough set model is different from the classical fuzzy rough set model because...
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