Computer Science
Approximation Algorithms
15%
Attention (Machine Learning)
20%
Classification Accuracy
9%
Classification Task
10%
Computer Software
8%
Convolutional Neural Network
22%
Data Center
100%
de-noising
20%
Deep Convolutional Neural Networks
8%
Deep Learning
40%
Deep Neural Network
11%
Efficient Algorithm
11%
Energy Consumption
38%
Energy Efficiency
52%
Energy Efficient
36%
Energy Minimisation
10%
Energy Saving
25%
Execution Time
10%
Experimental Result
63%
Fault Tolerant
11%
Fiducial Marker
34%
Graphics Processing Unit
7%
High Throughput
9%
Image Classification
20%
image denoising
9%
Image Reconstruction
8%
Image Segmentation
7%
Incentive Mechanism
15%
Memory Requirement
10%
Noise-to-Signal Ratio
22%
Optimization Problem
13%
Parallelization
11%
Power Consumption
10%
Prediction Model
8%
Processing Time
11%
reconstruction algorithm
17%
Reconstruction Process
8%
Representation Learning
10%
Resource Utilisation
9%
Routing Algorithm
9%
routing scheme
11%
Scheduling Algorithm
25%
Scheduling Problem
10%
Scheduling Scheme
16%
Scheduling Strategy
8%
Sparsity
10%
Spatial Domain
9%
task-scheduling
32%
Three-Dimensional Reconstruction
24%
Total Energy Consumption
8%
Engineering
Classification Task
6%
Compressed Sensing
8%
Convolutional Neural Network
5%
Cooling System
17%
Correlation Method
7%
Deep Learning
22%
Deep Neural Network
5%
Demonstrates
6%
Design Rule
5%
Dimensional Structure
14%
Electric Power Utilization
6%
Emergency Demand Response Program
5%
Energy Conservation
35%
Energy Efficiency
30%
Energy Engineering
37%
Experimental Result
53%
Fast Fourier Transform
5%
Gaussians
11%
Graphics Processing Unit
20%
Ground Truth
7%
High Resolution
34%
Icosahedral Symmetry
11%
Image Classification
5%
Image Reconstruction
8%
Image Stitching
5%
Iterative Procedure
5%
Joints (Structural Components)
21%
Limitations
14%
Mapping Method
5%
Marginal Costs
11%
Metrics
10%
Micrograph
30%
Multiscale
15%
Noisy Data
5%
Processing Time
9%
Reconstruction Function
7%
Reinforcement Learning
7%
Relaxation Parameter
5%
Resolution Image
6%
Resource Utilisation
6%
Running Speed
6%
Sampling Point
8%
Secondary Structure
7%
Selection Method
5%
Signal-to-Noise Ratio
16%
Similarities
7%
Simulated Data
8%
Sparsity
10%
Tasks
26%
Three-Dimensional Reconstruction
30%
