Year of publication
Type of media
Source
Subject
- ‹ All subjects
- Civil engineering (1,149)
- Architecture (296)
- Earth Sciences (134)
- Mechanical engineering, energy technology (104)
- Traffic engineering (45)
- Computer Science (41)
- Chemical and environmental engineering (28)
- Economics (24)
- Other subjects (18)
- Physics (12)
- Engineering (6)
- Mining (3)
- Material science (3)
- Educational Science (3)
- Life Sciences (1)
- Chemistry (1)
Type of material
Language
Synonyms were used for: Deep learning
Search without synonyms: keywords:("Deep learning")
Used synonyms:
- tiefe lernerfahrung
- tiefes lernen
- tiefgehendes lernen
- vertieftes lernen
-
Nuclear containment damage detection and visualization positioning based on YOLOv5m-FFC
Elsevier | 2024|Keywords: Deep learning -
A construction cost estimation framework using DNN and validation unit
Free accessTaylor & Francis Verlag | 2024|Keywords: Deep learning -
Measuring and identifying pre-service fatigue due to hypoxic exposure
Elsevier | 2024|Keywords: Deep learning -
Prediction of tunnel mechanical behaviour using multi-task deep learning under the external condition
Taylor & Francis Verlag | 2024|Keywords: deep learning -
Damage identification for railway tracks using ultrasound guided wave and hybrid probabilistic deep learning
Elsevier | 2024|Keywords: Probabilistic deep learning -
A novel intelligent modeling and prediction of heat energy consumption in smart buildings
Elsevier | 2024|Keywords: Deep learning -
Automatic crack detection on concrete and asphalt surfaces using semantic segmentation network with hierarchical Transformer
Elsevier | 2024|Keywords: Deep learning -
A novel hybrid machine learning model for rapid assessment of wave and storm surge responses over an extended coastal region
Elsevier | 2024|Keywords: Deep learning -
Crack segmentation on steel structures using boundary guidance model
Elsevier | 2024|Keywords: Deep learning -
Seg2Tunnel: A hierarchical point cloud dataset and benchmarks for segmentation of segmental tunnel linings
Elsevier | 2024|Keywords: Deep learning -
Occupancy modeling on non-intrusive indoor environmental data through machine learning
Elsevier | 2024|Keywords: Deep learning -
Pavement crack instance segmentation using YOLOv7-WMF with connected feature fusion
Elsevier | 2024|Keywords: Deep learning -
Asphalt Pavement Damage Detection through Deep Learning Technique and Cost-Effective Equipment: A Case Study in Urban Roads Crossed by Tramway Lines
Free accessDOAJ | 2024|Keywords: deep learning -
Research on online measurement method of fineness modulus of manufactured sand based on deep learning
Elsevier | 2024|Keywords: Deep learning -
Pixel-wise crack defect segmentation with dual-encoder fusion network
Elsevier | 2024|Keywords: Deep learning -
A lightweight convolutional neural network for automated crack inspection
Elsevier | 2024|Keywords: Deep learning -
Artificial Intelligence-Assisted Prediction of Effluent Phosphorus in a Full-Scale Wastewater Treatment Plant with Missing Phosphorus Input and Removal Data
American Chemical Society | 2024|Keywords: deep learning -
CasMDN: A deep learning-based multivariate distribution modelling approach and its application in geotechnical engineering
Elsevier | 2024|Keywords: Deep learning -
Automatic identification method for three-phase structure of pervious concrete based on deep learning network of Mask R-CNN
Elsevier | 2024|Keywords: Deep learning -
Multiple-type distress detection in asphalt concrete pavement using infrared thermography and deep learning
Elsevier | 2024|Keywords: Deep learning
Send my search to (beta)
Send your search query (search terms without filters) to other databases, portals and catalogues to find more interesting hits.
Dimensions is a database for abstracts and citations that links information on research funding with the resulting publications, studies and patents.
In the TIB AV-Portal, audiovisual media from science and teaching can be foundand own scientific videos can be published.
The FID move can be used to search for subject-specific literature, research data and other information from mobility and transport research.
The Open Research Knowledge Graph provides structured descriptions of research content and makes it comparable.
Freely accessible part of the collaborative K10plus catalogue with materials relevant for interlibrary loan and direct delivery services.