Engineering & Materials Science
Software engineering
100%
Classifiers
44%
Software design
37%
Feature extraction
20%
Internet of things
20%
Statistical methods
19%
Recommender systems
18%
Open source software
18%
Cryptocurrency
17%
Software quality
16%
Machine learning
15%
Smartphones
15%
Health
14%
Support vector machines
14%
Ontology
14%
Students
14%
Blockchain
13%
Logistic regression
13%
Productivity
13%
Home health care
13%
Random forests
13%
Application programming interfaces (API)
11%
Application programs
11%
Taxonomies
10%
Learning algorithms
10%
Unsupervised learning
10%
Image annotation
10%
Project management
10%
Automation
9%
Communication
9%
Bayesian networks
9%
Soft computing
9%
Outsourcing
9%
Viruses
9%
Crowdsourcing
9%
Statistical tests
9%
Requirements engineering
9%
Traffic congestion
8%
Formal specification
8%
Fuzzy sets
8%
eHealth
8%
Stars
8%
Health care
8%
Electric sparks
8%
Life cycle
8%
Cells
7%
Software packages
7%
Genes
7%
Access control
7%
Quality of service
7%
Mathematics
Design Patterns
29%
Social Media
29%
Methodology
25%
Software Development
19%
Open Source Software
18%
Health
16%
Classifier
14%
Traffic Congestion
13%
Feature Selection
12%
Empirical Study
12%
Literature Review
11%
Knowledge-based
11%
Text Categorization
11%
Random Forest
10%
Productivity
10%
Automation
10%
Learning
9%
Traffic
8%
Recommendations
8%
Experimental Results
8%
Repository
8%
Cancer
8%
Drugs
8%
Community
8%
Anxiety
8%
Support Vector Machine
7%
Text
7%
Software
7%
Target
6%
Software Design
6%
Prediction
6%
Public Health
6%
Cell
5%
Virus
5%
Machine Learning
5%
Co-training
5%
Filter
5%
Line
5%
Efficacy
5%
Bayes
5%
Business & Economics
Software Development
23%
Literature Review
12%
Global Software Development
11%
Soft Computing
10%
Conceptual Model
9%
Automation
9%
Internet of Things
9%
Smartphone
8%
Future Directions
8%
Development Process
7%
Mobile Applications
7%
Knowledge-based
7%
Decision Making
6%
Comparative Analysis
6%
Intrusion Detection System
6%
Outsourcing
6%
Success Factors
6%
Attack
6%
Software
5%
