Machine Learning is used to train models and machines without the help of any human interventions and guides. Here the models and machines are trained using algorithms. As it is difficult to train the algorithms one b...
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Inflammation of the lungs is caused by the growth of cancer cells. Men and women are more likely to die from cancer as the disease progresses. Cancer cells in the lungs develop outside of management in the context of ...
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The authors analyze a particular parallel architecture that incorporates eight Texas Instruments TMS32010 digital signal processors. The fully built and operational multiprocessor system, named PT8, is described, and ...
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The authors analyze a particular parallel architecture that incorporates eight Texas Instruments TMS32010 digital signal processors. The fully built and operational multiprocessor system, named PT8, is described, and several common DSP algorithms are presented that illustrate its characteristics. It is shown that data-handling considerations are the major factors in the performance of these algorithms. Suggestions for upgrading this architecture to one that manages data more efficiently are given.
The article describes an approach to the development and the results of testing of an intelligent user support system (USS), applicable, as well, to the educational platform of online courses to solve problems of info...
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Data Fragments Allocation is an important issue in designing Distributed Database System. This problem is NP*complete, and thus requires fast heuristics and random algorithms to generate efficient solutions, so many a...
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The Capacitated Vehicle Routing Problem (CVRP) is a fundamental optimization problem that aims to find the most cost-effective routes for vehicles under specified capacity constraints. In this work, we propose using a...
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Artificial Immune systems (AIS) are a class of computationally intelligent systems inspired by the adaptive abilities of the natural immune system. However, AIS has limitations in computational efficiency, scalability...
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Distributed Probabilistic Model-building Genetic algorithms (DPMBGAs) are a new type of Genetic Algorithm. In the DPMBGA, when the offspring are generated, Principal Component Analysis (PCA) considers the correlations...
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ISBN:
(纸本)0889865191
Distributed Probabilistic Model-building Genetic algorithms (DPMBGAs) are a new type of Genetic Algorithm. In the DPMBGA, when the offspring are generated, Principal Component Analysis (PCA) considers the correlations among the design variables. Moreover, this model applies the island model to maintain population diversity. The effectiveness of DPMBGA has been demonstrated through optimization of continuous functions. This paper describes the effectiveness of the parameters in the DPMBGA. Experiments indicated that these parameters are important factor for maintenance of the diversity of the population.
Photovoltaic systems have been a prominent option as an additional energy source for vehicles. Maximum power point trackers (MPPTs) should be used to increase efficiency and power output of solar panels under changing...
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Electrocardiogram (ECG), a typical non-stationary signal, is used for diagnosis of cardiac disorders. The electrical activities such as depolarization and re-polarization of heart are reflected in P, QRS complex and T...
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