Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Muhammad Nizam
Fault Diagnosis of Roller Bearing Using Parameter Evaluation Technique and Multi-Class Support Vector Machine
Related publications
Bearing Fault Diagnosis via Kernel Matrix Construction Based Support Vector Machine
Journal of Vibroengineering
Materials Science
Mechanical Engineering
Fault Diagnosis of Wind Turbine Bearing Based on Stochastic Subspace Identification and Multi-Kernel Support Vector Machine
Journal of Modern Power Systems and Clean Energy
Renewable Energy
Power Technology
the Environment
Sustainability
Energy Engineering
Bearing Fault Diagnosis Using Convolution Neural Network and Support Vector Regression
DEStech Transactions on Engineering and Technology Research
Time-Shift Multiscale Fuzzy Entropy and Laplacian Support Vector Machine Based Rolling Bearing Fault Diagnosis
Entropy
Electronic Engineering
Information Systems
Mathematical Physics
Electrical
Astronomy
Physics
Bearing Fault Diagnosis Using Support Vector Machine With Genetic Algorithms Based Optimization and K Fold Cross-Validation Method
International Journal of Recent Technology and Engineering
Engineering
Management of Technology
Innovation
Intelligent Fault Diagnosis of Rotating Machinery Using Support Vector Machine and Improved ABC
Multi-Instance Image Classification for Cancer Diagnosis Using Statistical Mapping Support Vector Machine
International Journal of Engineering and Technology(UAE)
Architecture
Hardware
Engineering
Chemical Engineering
Biotechnology
Environmental Engineering
Computer Science
Fault Diagnosis of Steam Turbine Generator Unit Based on Support Vector Machine
International Journal of Hybrid Information Technology
Computer Science
Support Vector Machine-Based Decision for Induction Motor Fault Diagnosis Using Air-Gap Torque Frequency
International Journal of Computer Applications