• Publications
  • Influence
Land Use-Based Landscape Planning and Restoration in Mine Closure Areas
Landscape planning and restoration in mine closure areas is not only an inevitable choice to sustain mining areas but also an important path to maximize landscape resources and to improve ecologicalExpand
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  • 3
Reliable peer-to-peer end system multicasting through replication
TLDR
A key challenge in peer-to-peer computing system is to provide decentralized and yet reliable services on top of a network of loosely coupled, weakly connected and possibly unreliable peers. Expand
  • 19
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Reactive power optimization by GA/SA/TS combined algorithms
TLDR
Combining the advantages of individual algorithms, three GA/SA/TS combined algorithms for reactive power optimization are proposed. Expand
  • 55
  • 1
Locating Vehicle Inspection Stations to Protect a Transportation Network
We develop a new conceptual approach to locating inspection stations for hazardous vehicles, prevention, and compare it to the previous, punitive, philosophy of the flow-capturing location model. WeExpand
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Efficient convolutional hierarchical autoencoder for human motion prediction
TLDR
We propose a convolutional hierarchical autoencoder model for motion prediction with a novel encoder which incorporates 1D convolutionAL layers and hierarchical topology. Expand
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Hybrid Precoding for Wideband Millimeter-Wave Systems With Finite Resolution Phase Shifters
TLDR
We propose an efficient hybrid precoding algorithm for wideband mmwave systems by leveraging the penalty decomposition method. Expand
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Check-node lazy scheduling approach for layered belief propagation decoding algorithm
TLDR
A novel check-node lazy scheduling (CLS) approach is presented for the layered belief propagation (LBP) decoding algorithm in low-density parity-check (LDPC) applications. Expand
  • 9
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Cost-Sensitive Weighting and Imbalance-Reversed Bagging for Streaming Imbalanced and Concept Drifting in Electricity Pricing Classification
TLDR
In data streaming environments such as a smart grid, it is impossible to restrict each data chunk to have the same number of samples in each class. Expand
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  • PDF
GA/SA/TS hybrid algorithms for reactive power optimization
Reactive power optimization in a power system solved by adjusting generator voltages, transformer taps and capacitors/reactors is a mixed integer nonlinear programming problem. GA (geneticExpand
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Loan Default Prediction Using Diversified Sensitivity Undersampling
TLDR
A hybrid undersampling method that combines the clustering, the stochastic sensitivity measure and the radial basis function neural networks to enhance the performance of the loan default prediction. Expand
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