A hybrid deep learning model for predictive flood warning and situation awareness using channel network sensors data
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A hybrid deep learning model for predictive flood warning and situation awareness using channel network sensors data
Authors
Keywords
-
Journal
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2020-10-08
DOI
10.1111/mice.12629
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Applicability of machine learning to a crack model in concrete bridges
- (2020) Yuriko Okazaki et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Leveraging machine learning for predicting flash flood damage in the Southeast US
- (2020) Atieh Alipour et al. Environmental Research Letters
- A Rainfall‐Runoff Model With LSTM‐Based Sequence‐to‐Sequence Learning
- (2020) Zhongrun Xiang et al. WATER RESOURCES RESEARCH
- Structural sensing with deep learning: Strain estimation from acceleration data for fatigue assessment
- (2020) Nur Sila Gulgec et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Social Sensing in Disaster City Digital Twin: Integrated Textual–Visual–Geo Framework for Situational Awareness during Built Environment Disruptions
- (2020) Chao Fan et al. JOURNAL OF MANAGEMENT IN ENGINEERING
- Generative adversarial network for road damage detection
- (2020) Hiroya Maeda et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Reinforcement learning‐based bird‐view automated vehicle control to avoid crossing traffic
- (2020) Yipei Wang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Yin-Yang firefly algorithm based on dimensionally Cauchy mutation
- (2020) Wen-chuan Wang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Deep learning for time series classification: a review
- (2019) Hassan Ismail Fawaz et al. DATA MINING AND KNOWLEDGE DISCOVERY
- A unified convolutional neural network integrated with conditional random field for pipe defect segmentation
- (2019) Mingzhu Wang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- An ensemble machine learning‐based modeling framework for analysis of traffic crash frequency
- (2019) Xiang Zhang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Evaluating adaptation measures for reducing flood risk: A case study in the city of Colombo, Sri Lanka
- (2019) D.J. Wagenaar et al. International Journal of Disaster Risk Reduction
- Regional flood frequency modeling: a comparative study among several data-driven models
- (2019) Kamal Ghaderi et al. Arabian Journal of Geosciences
- Multiscale modeling of backward erosion piping in flood protection system infrastructure
- (2019) Alessandro Fascetti et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- A deep learning algorithm for simulating autonomous driving considering prior knowledge and temporal information
- (2019) Sikai Chen et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Robust component: a robustness measure that incorporates access to critical facilities under disruptions
- (2019) Shangjia Dong et al. Journal of the Royal Society Interface
- Graph-Theoretic Surrogate Measure to Analyze Reliability of Water Distribution System Using Bayesian Belief Network–Based Data Fusion Technique
- (2019) Ngandu Balekelayi et al. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
- Multivariate LSTM-FCNs for time series classification
- (2019) Fazle Karim et al. NEURAL NETWORKS
- A network-of-networks percolation analysis of cascading failures in spatially co-located road-sewer infrastructure networks
- (2019) Shangjia Dong et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Structural health monitoring using extremely compressed data through deep learning
- (2019) Mohsen Azimi et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Modeling urban growth using video prediction technology: A time‐dependent convolutional encoder–decoder architecture
- (2019) Ahmed Jaad et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Urban flood risk mapping using data-driven geospatial techniques for a flood-prone case area in Iran
- (2019) Hamid Darabi et al. HYDROLOGY RESEARCH
- Modeling of inter-organizational coordination dynamics in resilience planning of infrastructure systems: A multilayer network simulation framework
- (2019) Qingchun Li et al. PLoS One
- Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method
- (2019) Farzaneh Sajedi Hosseini et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Flood prediction based on weather parameters using deep learning
- (2019) Suresh Sankaranarayanan et al. Journal of Water and Climate Change
- A Data-Driven Probabilistic Rainfall-Inundation Model for Flash-Flood Warnings
- (2019) Tsung-Yi Pan et al. Water
- Bayesian modeling of flood control networks for failure cascade characterization and vulnerability assessment
- (2019) Shangjia Dong et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Deep learning for data anomaly detection and data compression of a long‐span suspension bridge
- (2019) FuTao Ni et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Data-driven modeling for river flood forecasting based on a piecewise linear ARX system identification
- (2019) Baya Hadid et al. JOURNAL OF PROCESS CONTROL
- Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods
- (2019) Wei Chen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks
- (2018) Mohammad Amin Nabian et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Survey of computational intelligence as basis to big flood management: challenges, research directions and future work
- (2018) Farnaz Fotovatikhah et al. Engineering Applications of Computational Fluid Mechanics
- A novel unsupervised deep learning model for global and local health condition assessment of structures
- (2018) Mohammad Hossein Rafiei et al. ENGINEERING STRUCTURES
- Hydraulic model tests for propagation of flow and sediment in floods due to breaking of a natural landslide dam during a mountainous torrent
- (2018) Takahiro Itoh et al. International Journal of Sediment Research
- Integrating human behaviour dynamics into flood disaster risk assessment
- (2018) J. C. J. H. Aerts et al. Nature Climate Change
- Multivariate Time-Series Classification Using the Hidden-Unit Logistic Model
- (2018) Wenjie Pei et al. IEEE Transactions on Neural Networks and Learning Systems
- LSTM Fully Convolutional Networks for Time Series Classification
- (2018) Fazle Karim et al. IEEE Access
- FB-STEP: A Fuzzy Bayesian Network based Data-Driven Framework for Spatio-temporal Prediction of Climatological Time Series Data
- (2018) Monidipa Das et al. EXPERT SYSTEMS WITH APPLICATIONS
- Enhanced probabilistic neural network with local decision circles: A robust classifier
- (2018) Mehran Ahmadlou et al. INTEGRATED COMPUTER-AIDED ENGINEERING
- Characterizing urbanization impacts on floodplain through integrated land use, hydrologic, and hydraulic modeling
- (2018) Avantika Gori et al. JOURNAL OF HYDROLOGY
- Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques
- (2018) Hamid Darabi et al. JOURNAL OF HYDROLOGY
- Flood inundation modelling: A review of methods, recent advances and uncertainty analysis
- (2017) J. Teng et al. ENVIRONMENTAL MODELLING & SOFTWARE
- NEEWS: A novel earthquake early warning model using neural dynamic classification and neural dynamic optimization
- (2017) Mohammad Hossein Rafiei et al. SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
- A novel machine learning-based algorithm to detect damage in high-rise building structures
- (2017) Mohammad Hossein Rafiei et al. STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS
- Resilience-based post-disaster recovery strategies for road-bridge networks
- (2017) Weili Zhang et al. Structure and Infrastructure Engineering
- A New Neural Dynamic Classification Algorithm
- (2017) Mohammad Hossein Rafiei et al. IEEE Transactions on Neural Networks and Learning Systems
- Design of modified structure multi-layer perceptron networks based on decision trees for the prediction of flow parameters in 90° open-channel bends
- (2016) Azadeh Gholami et al. Engineering Applications of Computational Fluid Mechanics
- Probabilistic, Multivariable Flood Loss Modeling on the Mesoscale with BT-FLEMO
- (2016) Heidi Kreibich et al. RISK ANALYSIS
- ANN-based interval forecasting of streamflow discharges using the LUBE method and MOFIPS
- (2015) Riccardo Taormina et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Time-Series Classification with COTE: The Collective of Transformation-Based Ensembles
- (2015) Anthony Bagnall et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Learning a symbolic representation for multivariate time series classification
- (2014) Mustafa Gokce Baydogan et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Time series classification with ensembles of elastic distance measures
- (2014) Jason Lines et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Prediction of rainfall time series using modular soft computingmethods
- (2012) C.L. Wu et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- The streamflow estimation using the Xinanjiang rainfall runoff model and dual state-parameter estimation method
- (2012) Haishen Lü et al. JOURNAL OF HYDROLOGY
- The data-driven approach as an operational real-time flood forecasting model
- (2011) Phuoc Khac-Tien Nguyen et al. HYDROLOGICAL PROCESSES
- Advances in ungauged streamflow prediction using artificial neural networks
- (2010) Lance E. Besaw et al. JOURNAL OF HYDROLOGY
- Development of an accurate and reliable hourly flood forecasting model using wavelet–bootstrap–ANN (WBANN) hybrid approach
- (2010) Mukesh K. Tiwari et al. JOURNAL OF HYDROLOGY
- Combining discrete SVM and fixed cardinality warping distances for multivariate time series classification
- (2010) C. Orsenigo et al. PATTERN RECOGNITION
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search