Engineering & Materials Science
Machine learning
100%
Sensors
52%
Intensive care units
44%
Random forests
42%
Very long instruction word architecture
36%
Drought
35%
Data mining
35%
Time series
34%
Industry
33%
Labels
29%
Structural health monitoring
24%
Labeling
22%
Detectors
18%
Crops
17%
Rain
17%
Experiments
16%
Energy utilization
16%
Computer hardware
16%
Semantics
15%
Internet of things
15%
Temperature
15%
Learning algorithms
15%
Monitoring
15%
Cellular telephones
14%
Labeled data
13%
Long short-term memory
13%
Composite materials
13%
Data visualization
13%
Waste heat
12%
Classifiers
12%
Power spectrum
12%
Supervised learning
12%
DNA
12%
Food supply
11%
Amplification
11%
Hidden Markov models
11%
Health
11%
Extreme weather
11%
Parallel algorithms
10%
Clustering algorithms
10%
Cloud computing
10%
Ontology
9%
Mobile computing
9%
Resource allocation
9%
Sampling
9%
Motion sensors
9%
Acoustics
9%
Particle accelerators
9%
Snow
9%
Display devices
8%
Medicine & Life Sciences
Forests
60%
Taiga
45%
Dental Records
35%
Extremely Premature Infants
33%
Periodontal Index
29%
Chondrosarcoma
29%
Squamous Cell Neoplasms
29%
Ecology
28%
Dental Care
27%
Climate
26%
Machine Learning
26%
Ecosystem
25%
Premature Infants
25%
Gene Deletion
25%
Neoplasm Genes
25%
Periodontal Diseases
25%
Cadherins
23%
Brain Injuries
22%
Hospital Mortality
22%
Noise
21%
Non-Small Cell Lung Carcinoma
21%
Genes
18%
Lung Neoplasms
18%
Finland
18%
Temperature
16%
Oxygen
16%
Very Low Birth Weight Infant
14%
Delivery of Health Care
14%
Public Hospitals
12%
Neonatal Intensive Care Units
12%
Adenocarcinoma of Lung
12%
Dentists
11%
Estonia
11%
Habits
11%
Birth Weight
11%
Oligonucleotide Array Sequence Analysis
10%
Cluster Analysis
10%
Newborn Infant
10%
ROC Curve
9%
Ice Cover
9%
Systems Analysis
8%
Gestational Age
8%
Tooth
8%
Soil
8%
Down-Regulation
8%
Ice
7%
Keratins
6%
Reverse Transcriptase Polymerase Chain Reaction
5%
Patient Satisfaction
5%
Agriculture & Biology
Pinus sylvestris
96%
artificial intelligence
55%
Finland
48%
forest ecology
37%
ecosystems
29%
tracheids
29%
boreal forests
27%
Northern European region
27%
forest ecosystems
26%
temperature profiles
25%
temperature
21%
case studies
19%
climate
18%
carbon
17%
water potential
16%
prediction
15%
weather
13%
growing season
12%
time series analysis
12%
meteorology
11%
ground vegetation
10%
energy flow
10%
snowpack
10%
Estonia
10%
peatlands
9%
mineral soils
9%
soil microorganisms
8%
tree growth
8%
simulation models
8%
water holding capacity
8%
stomata
7%
winter
7%
principal component analysis
6%
buds
6%
testing
6%
drought
6%
automobiles
6%
conifers
5%
ice
5%
phenology
5%
air temperature
5%
regression analysis
5%
