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张 法
医学技术学院
h-index
2647
引用
26
H-指数
根据储存在 Pure 的刊物以及来自 Scopus 的引用文献数量计算
2002
2025
每年的科研成果
概览
指纹图谱
合作网络
科研成果
(242)
相似学者
(1)
指纹图谱
深入其中 Fa Zhang 为活跃的研究主题。这些主题标签来自此人的成果。它们共同形成唯一的指纹。
分类
加权
按字母排序
Computer Science
Data Center
100%
Experimental Result
63%
Energy Efficiency
52%
Energy Consumption
38%
Deep Learning
36%
Energy Efficient
36%
Fiducial Marker
34%
task-scheduling
32%
Scheduling Algorithm
25%
Energy Saving
25%
Attention (Machine Learning)
24%
Three-Dimensional Reconstruction
24%
Noise-to-Signal Ratio
22%
Convolutional Neural Network
22%
de-noising
20%
Image Classification
20%
reconstruction algorithm
17%
Scheduling Scheme
16%
Incentive Mechanism
15%
Parallelization
15%
Approximation Algorithms
15%
Deep Learning Method
13%
Optimization Problem
13%
Classification Accuracy
11%
Fault Tolerant
11%
Processing Time
11%
Deep Neural Network
11%
routing scheme
11%
Image Segmentation
11%
Efficient Algorithm
11%
Execution Time
10%
Representation Learning
10%
Sparsity
10%
Power Consumption
10%
Scheduling Problem
10%
Energy Minimisation
10%
Memory Requirement
10%
Classification Task
10%
Routing Algorithm
9%
High Throughput
9%
Spatial Domain
9%
image denoising
9%
Resource Utilisation
9%
Reconstruction Process
8%
Computational Method
8%
Prediction Model
8%
Scheduling Strategy
8%
Computer Software
8%
Deep Convolutional Neural Networks
8%
Convolutional Neural Network
8%
Engineering
Experimental Result
53%
High Resolution
37%
Energy Engineering
37%
Energy Conservation
35%
Energy Efficiency
30%
Micrograph
30%
Three-Dimensional Reconstruction
30%
Tasks
26%
Deep Learning
21%
Joints (Structural Components)
21%
Graphics Processing Unit
20%
Multiscale
19%
Signal-to-Noise Ratio
19%
Cooling System
17%
Limitations
14%
Dimensional Structure
14%
Marginal Costs
11%
Icosahedral Symmetry
11%
Gaussians
11%
Sparsity
10%
Metrics
10%
Processing Time
9%
Sampling Point
8%
Compressed Sensing
8%
Simulated Data
8%
Image Reconstruction
8%
Ground Truth
7%
Similarities
7%
Correlation Method
7%
Reinforcement Learning
7%
Reconstruction Function
7%
Secondary Structure
7%
Transfer Function
7%
Global Structure
7%
Classification Task
6%
Resource Utilisation
6%
State-of-the-Art Method
6%
Electric Power Utilization
6%
Deep Learning Method
6%
Demonstrates
6%
Resolution Image
6%
Running Speed
6%
Two Dimensional
5%
Relaxation Parameter
5%
Deep Neural Network
5%
Design Rule
5%
Noisy Data
5%
Fast Fourier Transform
5%
Image Stitching
5%
Convolutional Neural Network
5%
