decrements
Number of Objects: 2
decryption
Number of Objects: 1
decsional DNA
Number of Objects: 1
Dedekind's eta function
Number of Objects: 2
Dedekind's η function
Number of Objects: 1
dedicated investment
Number of Objects: 1
dedifferentiation
Number of Objects: 5
deduction
Number of Objects: 1
Deeds of Cross Guarantee
Number of Objects: 2
deep
Number of Objects: 3
deep autoencoder
Number of Objects: 1
deep bedded sandstone
Number of Objects: 1
deep belief network (DBN)
Number of Objects: 2
deep biosphere
Number of Objects: 1
deep brain stimulation
Number of Objects: 5
deep cement mixed (DCM) columns
Number of Objects: 1
deep cement mixed colums
Number of Objects: 1
deep cnn
Number of Objects: 1
deep decarbonisation
Number of Objects: 1
deep decarbonisation pathways
Number of Objects: 1
deep ecology
Number of Objects: 3
deep effect
Number of Objects: 1
deep eutectic solvent
Number of Objects: 2
deep eutectic solvent (DES)
Number of Objects: 2
deep eutectic solvents
Number of Objects: 7
deep eutectic solvents (DESs)
Number of Objects: 1
deep forest (DF)
Number of Objects: 1
deep foundation systems
Number of Objects: 2
deep foundations
Number of Objects: 1
deep hashing
Number of Objects: 1
deep hole drilling
Number of Objects: 1
deep inspiration breath-hold
Number of Objects: 1
deep inspiration breath-hold (DIBH)
Number of Objects: 1
deep intronic variant
Number of Objects: 1
deep Learning
Number of Objects: 4
deep learning
Number of Objects: 136
deep learning (DL)
Number of Objects: 1
deep learning algorithm
Number of Objects: 1
deep learning jobs
Number of Objects: 1
deep learning models
Number of Objects: 2
deep learning-based approach
Number of Objects: 1
deep learning-based model
Number of Objects: 1
deep listening
Number of Objects: 1
deep mapping
Number of Objects: 1
deep mixing
Number of Objects: 1
deep mucosal tears
Number of Objects: 2
deep neural network
Number of Objects: 9
deep neural network (DNN)
Number of Objects: 1
deep neural networks
Number of Objects: 8
deep neural networks (DNN)
Number of Objects: 1
deep neuroevolution
Number of Objects: 1
deep planting
Number of Objects: 1
deep Q-Network
Number of Objects: 1
deep reinforcement learning
Number of Objects: 4
deep remix
Number of Objects: 1
deep sandstone
Number of Objects: 1
deep sea
Number of Objects: 1
deep sedation
Number of Objects: 3
deep sleep therapy
Number of Objects: 2
deep sparse feedforward neural network
Number of Objects: 1
deep squat
Number of Objects: 1
deep subspace learning
Number of Objects: 2
deep time
Number of Objects: 1
deep transfer learning
Number of Objects: 1
deep transfer metric learning
Number of Objects: 1
deep tubewell
Number of Objects: 1
deep tunnel
Number of Objects: 2
deep uncertainty
Number of Objects: 2
deep underground engineering
Number of Objects: 1
deep vein thrombosis
Number of Objects: 5
deep vein thrombosis (DVT)
Number of Objects: 2
deep water
Number of Objects: 1
deep water corals
Number of Objects: 1
(deep) neural network algorithms
Number of Objects: 1
deep-bedded sandstone
Number of Objects: 1
deep-learning
Number of Objects: 1
deep-q learning
Number of Objects: 1
deep-rooted plants
Number of Objects: 1
deep-sea mining vehicles
Number of Objects: 1
deepfakes
Number of Objects: 1
deeply undercooled liquids
Number of Objects: 1
deepsea port outlets
Number of Objects: 2
deep‐buried tunnels
Number of Objects: 1
deer
Number of Objects: 1
defamation
Number of Objects: 4
defamiliarization
Number of Objects: 3
default mode network
Number of Objects: 3
default options
Number of Objects: 1
default risk
Number of Objects: 2
defecation
Number of Objects: 1
defecation disorders
Number of Objects: 2
defecation habits
Number of Objects: 2
defect
Number of Objects: 12
defect complex
Number of Objects: 1
defect disorder
Number of Objects: 3
defect engineering
Number of Objects: 4
defect formation energies
Number of Objects: 1
defect healing
Number of Objects: 2
defect identification
Number of Objects: 1
defect numbers
Number of Objects: 1