5 Result(s)
within
Artificial Intelligence
Image Processing and Computer Vision
**ang-peng Li
Conference Paper
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Chapter and Conference Paper
MTNAS: Search Multi-task Networks for Autonomous Driving
Multi-task learning (MTL) aims to learn shared representations from multiple tasks simultaneously, which has yielded outstanding performance in widespread applications of computer vision. However, existing mul...
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Chapter and Conference Paper
A Method of Power Network Security Analysis Considering Cascading Trip
In this paper, a grid security index considering cascade trip** is proposed, and an algorithm is proposed for this index combination with the operating behavior of relay protection so as to solve the cascadi...
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Chapter and Conference Paper
A Method to Prevent Cascading Trip in Power Network Based on Nodal Power
This paper proposes a method to prevent cascading trip based on the action of relay protection and the output of generator as the optimization variable for aiming at the cascading trip in power grid. Firstly, ...
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Chapter and Conference Paper
Nonlinear Hydrological Time Series Forecasting Based on the Relevance Vector Regression
As long leading-time hydrological forecast is a complex non-linear procedure, traditional methods are easy to get slow convergence and low efficiency. The basic relevance vector machine (BRVM) and the develope...
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Chapter and Conference Paper
A DEA-Benchmarking Optimization Model and Method Based on the Theory of Maximum Entropy
Benchmarking is a technique that engages and executes a series of measures to change indexes of the Decision Making Unit (DMU) to excellent by using the gap analysis information between the DMU and benchmark. ...
