128 results on '"Sahani, Mrutyunjaya"'
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2. Precise single step and multistep short-term photovoltaic parameters forecasting based on reduced deep convolutional stack autoencoder and minimum variance multikernel random vector functional network
3. RDCSAE-RKRVFLN: A unified deep learning framework for robust and accurate DOA estimation
4. Autoencoder-based improved deep learning approach for schizophrenic EEG signal classification
5. Diagnosis of Voltage Dips Using a Novel Morphological Filter and a Smart Deep Learning LSTM-Based Minimum Variance RVFLN Classifier
6. Classification of Skin Lesions Using Deep Convolutional Neural Network
7. Empirical wavelet transform-based fast deep convolutional neural network for detection and classification of melanoma
8. Contributors
9. Detection of faults and DG islanding in PV-Wind DC ring bus microgrid by using optimized VMD based improved broad learning system
10. A new adaptive integral back stepping fractional order sliding mode control approach for PV and wind with battery system based DC microgrid
11. Diagnosing utility grid disturbances in photovoltaic integrated DC microgrid using adaptive multiscale morphology with DFA analysis
12. An efficient epileptic seizure classification system using empirical wavelet transform and multi-fuse reduced deep convolutional neural network with digital implementation
13. A new protection scheme for PV-wind based DC-ring microgrid by using modified multifractal detrended fluctuation analysis
14. Unsupervised Reduced Deep Convolutional Neural Network of Process Empirical Wavelet Transform Data for Recognition of the Early Stage of Alzheimer’s Disease
15. A digital direction of arrival estimator based on fast on-line sequential random vector functional link network
16. FPGA implementation of epileptic seizure detection using semisupervised reduced deep convolutional neural network
17. Deep long short term memory based minimum variance kernel random vector functional link network for epileptic EEG signal classification
18. Multifuse multilayer multikernel RVFLN+ of process modes decomposition and approximate entropy data from iEEG/sEEG signals for epileptic seizure recognition
19. Machine Learning-Aided Sparse Direction of Arrival Estimation
20. Classification of Skin Lesions Using Deep Convolutional Neural Network
21. Automatic Recognition of the Early Stage of Alzheimer’s Disease Based on Discrete Wavelet Transform and Reduced Deep Convolutional Neural Network
22. A real-time power quality events recognition using variational mode decomposition and online-sequential extreme learning machine
23. Fault location estimation for series-compensated double-circuit transmission line using EWT and weighted RVFLN
24. Fault location estimation for series-compensated double-circuit transmission line using parameter optimized variational mode decomposition and weighted P-norm random vector functional link network
25. A Robust Vmd Based Deep Random Vector Functional Link Network Fordynamic System Identification
26. A Current Vector based Open Circuit Fault Detection Technique for Industrial dc-ac Power Converters
27. A Fault-Tolerant Multilevel Inverter (FT-MLI) Topology for Electric Vehicle Applications
28. Unsupervised Reduced Deep Convolutional Neural Network of Process Empirical Wavelet Transform Data for Recognition of the Early Stage of Alzheimer’s Disease
29. Variational mode decomposition and weighted online sequential extreme learning machine for power quality event patterns recognition
30. Broad Learning Based Fault Detection and Diagnosis Method for Three-Phase Six Switch Converter
31. Realization of Different Algorithms Using Raspberry Pi for Real-Time Image Processing Application
32. An Adaptive Integral Backstepping SMC and Robust Functional Expanded Multikernel BLS Based MPPT Control in PV-Battery DC Microgrid System
33. Chapter 11 - Empirical wavelet transform-based fast deep convolutional neural network for detection and classification of melanoma
34. An Adaptive Integral Backstepping SMC and Robust Functional Expanded Multikernel BLS Based MPPT Control in PV-Battery DC Microgrid System
35. Diagnosis of Voltage Dips Using a Novel Morphological Filter and a Smart Deep Learning LSTM-Based Minimum Variance RVFLN Classifier
36. Autoencoder-based improved deep learning approach for schizophrenic EEG signal classification
37. Impaired Fractal Based Sub-Array Diagnosis
38. Realization of Different Algorithms Using Raspberry Pi for Real-Time Image Processing Application
39. Effectiveness of Data Augmentation for classification of Melanoma using Deep Convolutional Neural Network
40. Effective fault distance estimation and diagnosis in the PV based DC‐ring network using Hilbert Huang transform and weighted online sequential random vector functional network
41. Epileptic Seizure Recognition Using Reduced Deep Convolutional Stack Autoencoder and Improved Kernel RVFLN From EEG Signals
42. FPGA-Based Deep Convolutional Neural Network of Process Adaptive VMD Data With Online Sequential RVFLN for Power Quality Events Recognition
43. Review for "Variational mode decomposition ‐ subspace‐K‐nearest neighbour based islanding detection in distributed generation system"
44. Deep Convolutional Stack Autoencoder of Process Adaptive VMD Data With Robust Multikernel RVFLN for Power Quality Events Recognition
45. FPGA‐based favourite skin colour restoration using improved histogram equalization with variable enhancement degree and ensemble extreme learning machine
46. DSP Based Online Power Quality Events Detection and Classification Using Hilbert Huang Transform and Random Forest Method
47. Automatic Power Quality Events Recognition Using Modes Decomposition Based Online P-Norm Adaptive Extreme Learning Machine
48. FPGA Implementation of WRVFLN for Classification
49. Islanding and power quality disturbance monitoring in microgrid using adaptive cross variational mode decomposition and reduced kernel ridge regression
50. FPGA-Based Semisupervised Multifusion RDCNN of Process Robust VMD Data With Online Kernel RVFLN for Power Quality Events Recognition
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