Computer Science
Models
100%
Accuracy
67%
Algorithms
61%
Internet of Things
55%
Attack
37%
Detection
37%
User
34%
Control
30%
Blockchain
30%
Multiclass Classification
30%
Machine Learning Approach
30%
Waves
30%
Application
29%
Classification
28%
Convolutional Neural Network
25%
Diagnosis
25%
Threat
24%
Networks
24%
Vulnerabilities
20%
References
20%
Records
19%
Systematic Literature Review
18%
Classes
18%
Machine Learning Algorithm
18%
Feature Selection
18%
Security Concern
17%
System Management
16%
Boosting
16%
Segmentation
16%
Iterative Learning Control
15%
Wireless Networks
15%
Biometrics
15%
Smart City
15%
Time Monitoring
15%
Data Mining Technique
15%
Deep Learning Model
15%
Home Appliance
15%
Measurement Error
15%
Informal Institution
15%
Academic Institution
15%
Analytics
15%
Authentication
15%
Big Data Analytics
15%
Distributed Denial of Service
15%
Synchronous Machine
15%
Work Performance
15%
Sensitivity Analysis
15%
Biometric Authentication
15%
Multimodal Biometric
15%
Smart Grid
15%
Engineering
Motors
81%
Permanent Magnet
51%
Feedforward Control
48%
Minimization
44%
Estimation
43%
Models
43%
Synchronous Motor
36%
Harmonics
32%
Current Measurement
30%
Images
30%
Multiclass Classification
30%
Permanent Magnet Motor
30%
Drives
27%
Feedforward
26%
Error
25%
Current Waveform
17%
Algorithm
16%
Sensor
16%
High Precision
15%
Measurement Inaccuracy
15%
Measurement Error
15%
Sensor Type
15%
Synchronous Machine
15%
Prediction
15%
Velocity
15%
Sensitivity Analysis
15%
Iterative Learning Control
15%
Control Scheme
14%
Zeros
13%
Dataset
12%
Experimental Result
11%
Time Domain Processing
11%
Design
10%
Estimator
9%
Performance
8%
Current Reference
7%
Major Problem
7%
Ripple Factor
7%
Position Information
7%
Accuracy
6%
Determines
6%
Feedback Control Systems
6%
Position Sensor
5%
Control Loop
5%
Physics
Motors
82%
Feedforward Control
63%
Permanent Magnet
47%
Ripples
47%
Optimization
41%
Detection
38%
Responses
32%
Binaural Hearing
30%
Waveform
29%
Model
28%
Harmonics
27%
Performance
24%
Transfer Function
23%
Independent Variables
22%
Frequencies
21%
Parameter
18%
Signal-to-Noise Ratio
17%
Speed
16%
Electrodes
15%
Electroencephalography
15%
Recognition
15%
Images
15%
X Ray
15%
Correlation
15%
Learning
15%
Electrocardiography
15%
P Wave
15%
Lung
15%
Wavelet
15%
Differences
14%
Amplitudes
10%
Ear
8%
Output
8%
Standard
8%
Adaptation
7%
Frequency Ranges
7%
Estimates
7%
Value
7%
Auditory Stimuli
6%
Feedback Control
6%
Information
5%
Plant
5%
Controllers
5%
Glioma
5%
Acoustics
5%
Parameter Estimation
5%
Algorithms
5%
Microphone
5%
