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Prince
Assistant professor
Department of Industrial and Systems Engineering
Email
ee.prince
ieee
org
h-index
124
Citations
7
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2020
2024
Research activity per year
Overview
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Research output
(15)
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(3)
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Dive into the research topics where Prince is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Weight
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Engineering
Induction Motor
100%
Convolutional Neural Network
100%
Energy Engineering
90%
Air Flow
66%
Artificial Neural Network
55%
Long Short-Term Memory
48%
Recurrent Neural Network
44%
Feature Extraction
40%
Noise Level
37%
Artificial Intelligence
36%
Bandpass Filter
33%
Fast Fourier Transform
33%
Extended Kalman Filter
33%
Accurate Prediction
33%
Axle Load
33%
Energy Efficiency
33%
Transfer Learning
33%
Squirrel Cage Induction Motor
33%
Earth Wall
33%
Microgrid
33%
Induction Machine
33%
Energy Conservation
33%
Comprehensive Review
33%
Deep Learning Method
24%
Field-Oriented Control
20%
Genetic Algorithm
20%
Mean Absolute Error
17%
Mechanically Stabilized Earth
16%
Fault Diagnosis
16%
Recurrent
16%
Electric Vehicle
16%
Deep Neural Network
14%
Systems Performance
13%
Motor Drive
11%
Experimental Result
11%
Nearest Neighbor
11%
Retaining Walls
11%
Research Work
11%
Metrics
10%
Efficient Model
8%
Current Signal
8%
Charging Time
8%
Rotors
8%
Vehicle to Grid
8%
Input Feature
8%
Machine Learning Technique
8%
Prime Mover
8%
Power Flow
8%
Systems Stability
6%
Integral Control
6%
Computer Science
Fault detection
50%
Long Short-Term Memory Network
36%
Recurrent Neural Network
33%
Experimental Result
33%
Artificial Neural Network
33%
Noise Sensitivity
33%
Transfer Learning
33%
Neural Network
33%
Convolutional Neural Network
33%
Convolutional Neural Network
33%
Fault Diagnosis
16%
Deep Learning Method
12%
Feature Extraction
8%
Condition Monitoring
8%
Average Accuracy
8%
local feature
6%
