Restricted Boltzmann Machines (RBMs) have been developed for a lot of applications in the past few years, and many of its variants have also appeared. In this paper, RBM model and its learning algorithm with contrasti...
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Among the methods of fault diagnosis based on the current analysis for Squirrel Cage Induction Motors (SCIM], the fault characteristic components are often submerged by fundamental component and noises, especially for...
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Ongoing improvements in sequencing technology allow even greater analysis of questions related to genome biology. We will overview several of the opportunities and challenges of newer generation sequencing applied to ...
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Dealing with knowledge intensive business services (KIBS) has become an important strategy for many firms. Services that rely on professional knowledge are needed by Japanese manufacturing corporations (JMCs) for solv...
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Nowadays, most sweeping robots can only clean on flat ground, and due to a large number of steps, manual cleaning is more complicated and requires a lot of work. Therefore, a sweeping robot that can climb stairs is de...
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The real-time roll attitude estimation algorithm based on the nonlinear moving horizon estimator and unscented Kalman filter is proposed to solve the inconsistent and time-varying sampling problems of multi sensors on...
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This paper presents a new insulation detection method for electric vehicles. The system mainly consists of sampling circuit, signal transmission and processing parts. Except a high-voltage control MOSFET switch, it ne...
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The objective of this research paper is to comparatively analyze different autoregressive techniques to forecast the daily count of rental bikes. The data set utilized for forecasting contains the demand of bikes on l...
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Binocular stereo vision motion platform with 3-DOF is designed by UG soft in this paper, the structure and control system of the platform is simulated by using ADAMS and MATLAB in order to verify the rationality and k...
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It is time-consuming and expensive for band selection of hyperspectral imagery. In practice, band selection for hyperspectral imagery is a computing-intensive application, in which bands with less information are remo...
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