Keyphrases
Malaria Diagnosis
100%
Malaria Parasite
88%
Giemsa
83%
Neuron Model
66%
Parasite Detection
66%
Malaria
66%
Text-to-SQL
66%
Deep Neural Network
61%
Alzheimer's Disease
53%
Blood Film
50%
Convolutional Layer
50%
Detection Method
50%
Plasmodium
50%
Automated Diagnosis
50%
Least Squares Support Vector Regression (LSSVR)
48%
Solid Waste Generation
48%
Deep Learning Methods
48%
Domestic Solid Waste
46%
Frog
44%
Locally Connected
44%
Waste Generation
44%
Detection Algorithm
44%
Mobile Robot
44%
Self-efficacy
44%
Skin Pattern
44%
Interactive Learning
44%
Mild Cognitive Impairment
43%
Neural Network
41%
Cross-domain
37%
Monocular Camera
33%
Verification Competition
33%
Visual Obstacle Detection
33%
Ultrasonic Distance Sensor
33%
XM2VTS
33%
Polyp Detection
33%
8-connected
33%
Neighborhood Definition
33%
Flexible Dynamics
33%
Traditional Neural Network
33%
Breast Cancer Histopathological Images
33%
Mitotic Figures
33%
Implicit Theories
33%
Interobserver Agreement
33%
Mitosis Detection
33%
Obstacle Detection
33%
Camera Sensor
33%
Sales Forecasting
33%
Focus Position
33%
Face Verification
33%
Sign Language
33%
Computer Science
Structured Query Language
66%
Neural Network
66%
Deep Neural Network
50%
Deep Learning Technique
38%
Training Model
37%
obstacle detection
33%
Feature Selection
33%
Mitosis Detection
33%
Noise Sensitivity
33%
Human Machine Interface
33%
Active Research
33%
Convolution Layer
33%
Face Recognition
33%
Watershed Segmentation
33%
Convolution Kernel
33%
Recognition Result
33%
Distance Measure
33%
Detection Rate
33%
programming course
33%
Image Analysis
33%
introductory programming course
33%
Image Acquisition
33%
Minimum Redundancy
33%
Network Layer
33%
Web Service
33%
Scale-Invariant Feature Transform
33%
Research Topic
33%
Face Verification
33%
True Positive Rate
33%
False Positive
33%
Optical Character Recognition
33%
Mobile Robot
33%
Machine Learning Approach
33%
Deep Learning Model
33%
Interpretability
33%
Receptive Field
33%
Feature Extraction
33%
Computer Vision
33%
Model Accuracy
33%
Deep Learning Method
33%
Gaussian White Noise
33%
K-near neighbor classifier
33%
Prediction Value
33%
Conditional Probability
33%
Positive Prediction
33%
Shape Measurement
33%
Performance Comparison
33%
Probability Density Function
33%
Histogram Method
33%
Extracted Feature
33%
