Computer Science
Imaging Systems
100%
Machine Learning
100%
Processing System
100%
Vessel Segmentation
100%
Image Processing
100%
Convolutional Layer
100%
Convolutional Neural Network
100%
Frequency Domain
100%
Decision Tree
100%
Field Programmable Gate Arrays
83%
Design
83%
Image Analysis
83%
Histogram Equalization
50%
Embedded Systems
50%
Algorithms
50%
Hessian Matrix
50%
Functions
50%
Flip-Flop
50%
Range Dependency
50%
Convolutional Block Attention
50%
Simultaneous Segmentation
50%
Segmentation Task
50%
Deep Learning Model
50%
Artificial Intelligence
50%
Multitask Learning
50%
wavelet transformation
50%
Prediction Model
50%
World Application
50%
Deep Learning Method
50%
Prediction Error
50%
Outstanding Performance
50%
Long Short-Term Memory Network
50%
Term Dependency
50%
Time Series Data
50%
Multivariate Time Series
50%
Models
33%
Small Proportion
33%
Quantitative Comparison
33%
Resource Utilization
33%
Memory Resource
33%
Image Segmentation
33%
Deep Learning
33%
Gradient Boosting
33%
Accuracy
33%
Image Sensors
33%
Eigenvalue
33%
Machine Learning Algorithm
33%
Decision Trees
33%
Throughput
33%
Bandwidth Efficiency
33%
Engineering
Multi-Head Attention
100%
Convolutional Layer
100%
Long-Term Forecasting
100%
Frequency Domain
100%
Mixers (Machinery)
100%
Power Device
100%
Field Programmable Gate Arrays
100%
Clock Speed
66%
Pivotal Role
50%
Image Analysis
50%
Artificial Intelligence
50%
Deep Learning
50%
Tasks
50%
Approach Phase
50%
Real World Application
50%
Prediction Error
50%
Deep Learning Method
50%
Data Series
50%
Learning System
33%
Bandwidth Efficiency
33%
Lookup Table
33%
Efficient Implementation
33%
Flip Flop Circuits
33%
