Xiaodong Wang

23 papers B 1C 2Misc 4Journal 2Unranked 14
YearRankTypeTitle / Venue / Authors
2010 J jnl
Adaptive typhoon cloud image enhancement using genetic algorithm and non-linear gain operation in undecimated wavelet domain.
Eng. Appl. Artif. Intell.
Changjiang Zhang, Xiaodong Wang, Chunjiang Duanmu
2010 — conf
Identification of Memristor-Based Chaotic Systems Using Support Vector Machine Regression.
ISIA
Xiaodong Wang, Meiying Ye
2008 — conf
Digital Image Watermarking Algorithm with Double Encryption by Arnold Transform and Logistic.
NCM (1)
Changjiang Zhang, Jinshan Wang, Xiaodong Wang
2007 J jnl
An Anti-Noise Algorithm for Enhancing Global and Local Contrast for Infrared Image.
Int. J. Wavelets Multiresolution Inf. Process.
Changjiang Zhang, Xiaodong Wang, Haoran Zhang, Chunjiang Duanmu
2007 — conf
Fault Diagnosis of Power Equipment Based On Dissolved Gas Analysis And LS Fusion Combining Neural Network.
ICNC (1)
Ganyun Lv, Xiaodong Wang
2007 — conf
Voltage Sags Detection and Identification Based on Phase-Shift and RBF Neural Network.
FSKD (1)
Ganyun Lv, Xiaodong Wang
2006 — conf
A Reducing Multi-Noise Contrast Enhancement Algorithm for Infrared Image.
ICICIC (1)
Changjiang Zhang, Xiaodong Wang, Haoran Zhang, Ganyun Lv, Han Wei
2006 — conf
Contrast Enhancement for Image Based on Wavelet Neural Network and Stationary Wavelet Transform.
ISNN (2)
Changjiang Zhang, Xiaodong Wang, Haoran Zhang
2006 Misc conf
Contrast enhancement for image with non-linear gray transform and wavelet neural network.
GrC
Changjiang Zhang, Xiaodong Wang, Haoran Zhang, Ganyun Lv
2006 — conf
Enhancing Contrast for Image Using Discrete Stationary Wavelet Transform and Non-linear Gain Operator.
ICIC (2)
Changjiang Zhang, Xiaodong Wang, Haoran Zhang
2006 — conf
Enhancing Global and Local Contrast for Image Using Discrete Stationary Wavelet Transform and Simulated Annealing Algorithm.
KES (2)
Changjiang Zhang, C. J. Duanmu, Xiaodong Wang
2006 — conf
Global and Local Contrast Enhancement for Image by Genetic Algorithm and Wavelet Neural Network.
ICONIP (3)
Changjiang Zhang, Xiaodong Wang
2006 Misc conf
New Soft Sensor Method Based on SVM.
GrC
Haoran Zhang, Xiaodong Wang, Changjiang Zhang, Ganyun Lv
2006 Misc conf
Nonlinear Systems Modeling and Control Using Support Vector Machine Technique.
CSR
Haoran Zhang, Xiaodong Wang
2006 — conf
Online Modeling of Nonlinear Systems Using Improved Adaptive Kernel Methods.
ISNN (2)
Xiaodong Wang, Haoran Zhang, Changjiang Zhang, Xiushan Cai, Jinshan Wang, Meiying Ye
2006 — conf
Power Quality Identification Based on S-transform and RBF Neural Network.
ICIC (1)
Ganyun Lv, Xiaodong Wang
2006 — conf
Time Series Prediction Using LS-SVM with Particle Swarm Optimization.
ISNN (2)
Xiaodong Wang, Haoran Zhang, Changjiang Zhang, Xiushan Cai, Jinshan Wang, Meiying Ye
2005 Misc conf
A De-noising Algorithm of Infrared Image Contrast Enhancement.
ICMLC
Changjiang Zhang, Xiaodong Wang, Haoran Zhang
2005 — conf
A Fast SMO Training Algorithm for Support Vector Regression.
ICNC (1)
Haoran Zhang, Xiaodong Wang, Changjiang Zhang, Xiuling Xu
2005 C conf
A New Support Vector Machine for Data Mining.
ADMA
Haoran Zhang, Xiaodong Wang, Changjiang Zhang, Xiuling Xu
2005 B conf
An Intelligent Algorithm for Enhancing Contrast for Image Based on Discrete Stationary Wavelet Transform and In-complete Beta Transform.
ACII
Changjiang Zhang, Xiaodong Wang, Haoran Zhang
2005 — conf
Contrast Enhancement for Image with Simulated Annealing Algorithm and Wavelet Neural Network.
ISNN (2)
Changjiang Zhang, Xiaodong Wang, Haoran Zhang
2005 C conf
Prediction of Chaotic Time Series Using LS-SVM with Automatic Parameter Selection.
PDCAT
Xiaodong Wang, Haoran Zhang, Changjiang Zhang, Xiushan Cai, Jin Wang, Jinshan Wang
redb/extractors/pe_extractors/__init__.py
← Index redb/extractors/pe_extractors/__init__.py python 
from .pe_resources import PEResourceExtractor
from .pe_sections import PESectionExtractor
from .pe_imports import PEImportExtractor
from .pe_inconsistency_tests import PEInconstistencyTestsExtractor
from .pe_signature import PESignatureExtractor
from .pe_features import PEFeaturesExtractor
from .pe_dotnet import PEDotNetExtractor
from .pe_overlay import PEOverlayExtractor
from .pe_extra_findings import PEExtraFindings