- Ahmad K.; Pogorelov K.; Riegler M.; Conci N.; Halvorsen P. Social media and satellites: Disaster event detection, linking and summarization. Multimed. Tools Appl. 2019, 78, 2837-2875.
Paper not yet in RePEc: Add citation now
- Ahmad K.; Pogorelov K.; Riegler M.; Ostroukhova O.; Halvorsen P.; Conci N.; Dahyot R. Automatic detection of passable roads after floods in remote sensed and social media data. Signal Process. Image Commun. 2019, 74, 110-118.
Paper not yet in RePEc: Add citation now
- Ahmed H.; La H.M.; Tran K. Rebar detection and localization for bridge deck inspection and evaluation using deep residual networks. Autom. Constr. 2020, 120, 103393.
Paper not yet in RePEc: Add citation now
- Alfieri L.; Velasco D.; Thielen J. Flash flood detection through a multi-stage probabilistic warning system for heavy pre-cipitation events. Adv. Geosci. 2011, 29, 69-75.
Paper not yet in RePEc: Add citation now
Ali H.; Choi J.-H. A Review of Underground Pipeline Leakage and Sinkhole Monitoring Methods Based on Wireless Sensor Networking. Sustainability 2019, 11.
- Amit S.N.K.B.; Aoki Y. Disaster Detection from Aerial Imagery with Convolutional Neural Network. Proceedings of the 2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC), Surabaya, Indonesia, 26–27 September 2017, ; pp. 239-245.
Paper not yet in RePEc: Add citation now
- Anuse A.; Vyas V. A novel training algorithm for convolutional neural network. Complex Intell. Syst. 2016, 2, 221-234.
Paper not yet in RePEc: Add citation now
- Anusha N.; Bharathi B. Flood detection and flood mapping using multi-temporal synthetic aperture radar and optical data. Egypt. J. Remote Sens. Space Sci. 2020, 23, 207-219.
Paper not yet in RePEc: Add citation now
Atif S.; Umar M.; Ullah F. Investigating the flood damages in Lower Indus Basin since 2000: Spatiotemporal analyses of the major flood events. Nat. Hazards 2021, 1-27.
- Azeem M.; Ullah F.; Thaheem M.J.; Qayyum S. Competitiveness in the construction industry: A contractor’s perspective on barriers to improving the construction industry performance. J. Constr. Eng. Manag. Innov. 2020, 3, 193-219.
Paper not yet in RePEc: Add citation now
- Baatz M.; Schäpe A. Multiresolution Segmentation: An Optimization Approach for High Quality Multiscale Image Segmentation. Angewandte Geographische Informationsverarbeitung; Wichmann Verlag: Karlsruhe, Germany, 2000; pp. 12-23.
Paper not yet in RePEc: Add citation now
- Basha E.; Rus D. Design of early warning flood detection systems for developing countries. Proceedings of the 2007 International Conference on Information and Communication Technologies and Development, Bangalore, India, 15–16 December 2007, ; pp. 1-10.
Paper not yet in RePEc: Add citation now
- Blaschke T. What’s Wrong with Pixels?. Some Recent Developments Interfacing Remote Sens. Gis. 2001, 6, 12-17.
Paper not yet in RePEc: Add citation now
- Castelluccio M.; Poggi G.; Sansone C.; Verdoliva L. Land use classification in remote sensing images by convolutional neural networks. arXiv 2015.
Paper not yet in RePEc: Add citation now
- Cengil E.; Cinar A.; Ozbay E. Image classification with caffe deep learning framework. Proceedings of the 2017 International Conference on Computer Science and Engineering (UBMK), Antalya, Turkey, 5–8 October 2017, 2017; pp. 440-444.
Paper not yet in RePEc: Add citation now
- Di Martino G.; Iodice A.; Riccio D.; Ruello G. A Novel Approach for Disaster Monitoring: Fractal Models and Tools. IEEE Trans. Geosci. Remote Sens. 2007, 45, 1559-1570.
Paper not yet in RePEc: Add citation now
- Doubleday J.; McLaren D.; Chien S.; Lou Y. Using Support Vector Machine Learning to Automatically Interpret Modis, Ali, And L-Band Sar Remotely Sensed Imagery For Hydrology, Land Cover, And Cryosphere Applications. Proceedings of the Workshop on AI and Space, International Joint Conference on Artificial Intelligence, Barcelona, Spain, 16–22 July 2011, .
Paper not yet in RePEc: Add citation now
- Ejaz W.; Ahmed A.; Mushtaq A.; Ibnkahla M. Energy-efficient task scheduling and physiological assessment in disaster management using UAV-assisted networks. Comput. Commun. 2020, 155, 150-157.
Paper not yet in RePEc: Add citation now
- Elsafi S.H. Artificial Neural Networks (ANNs) for flood forecasting at Dongola Station in the River Nile, Sudan. Alex. Eng. J. 2014, 53, 655-662.
Paper not yet in RePEc: Add citation now
- Fajardo J.T.B.; Yasumoto K.; Ito M. Content-based data prioritization for fast disaster images collection in delay tolerant network. Proceedings of the 2014 Seventh International Conference on Mobile Computing and Ubiquitous Networking (ICMU), Singapore, 6–8 January 2014, ; pp. 147-152.
Paper not yet in RePEc: Add citation now
- Felli F.; Liu C.; Ullah F.; Sepasgozar S. Implementation of 360 videos and mobile laser measurement technologies for immersive visualisation of real estate & properties. Proceedings of the 42nd AUBEA Conference, Singapore, 26–28 September 2018, .
Paper not yet in RePEc: Add citation now
- Flood Safety Awareness and American Red Cross Month. Stakeholder Toolkit; National Weather Service: Washington, DC, USA, 2018.
Paper not yet in RePEc: Add citation now
- Fu G.; Liu C.; Zhou R.; Sun T.; Zhang Q. Classification for High Resolution Remote Sensing Imagery Using a Fully Convolutional Network. Remote Sens. 2017, 9.
Paper not yet in RePEc: Add citation now
- Gebrehiwot A.; Hashemi-Beni L.; Thompson G.; Kordjamshidi P.; Langan T.E. Deep Convolutional Neural Network for Flood Extent Mapping Using Unmanned Aerial Vehicles Data. Sensors 2019, 19.
Paper not yet in RePEc: Add citation now
- Georgakopoulos S.V.; Tasoulis S.K.; Vrahatis A.G.; Plagianakos V.P. Convolutional Neural Networks for Toxic Comment Classification. Proceedings of the 10th Hellenic Conference on Artificial Intelligence, Patras, Greece, 9–12 July 2018, 2018.
Paper not yet in RePEc: Add citation now
- Grossberg S. Recurrent neural networks. Scholarpedia 2013, 8, 1888.
Paper not yet in RePEc: Add citation now
- Hosseiny H.; Nazari F.; Smith V.; Nataraj C. A Framework for Modeling Flood Depth Using a Hybrid of Hydraulics and Machine Learning. Sci. Rep. 2020, 10, 1-14.
Paper not yet in RePEc: Add citation now
- Ireland G.; Volpi M.; Petropoulos G.P. Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood. Remote Sens. 2015, 7, 3372-3399.
Paper not yet in RePEc: Add citation now
- Islam A.; Shin S.Y. A blockchain-based secure healthcare scheme with the assistance of unmanned aerial vehicle in In-ternet of Things. Comput. Electr. Eng. 2020, 84, 106627.
Paper not yet in RePEc: Add citation now
- Jabbari A.; Bae D.-H. Application of Artificial Neural Networks for Accuracy Enhancements of Real-Time Flood Forecasting in the Imjin Basin. Water 2018, 10.
Paper not yet in RePEc: Add citation now
- Ji S.; Xu W.; Yang M.; Yu K. 3D Convolutional Neural Networks for Human Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 2013, 35, 221-231.
Paper not yet in RePEc: Add citation now
- Joshi A.R.; Tarte I.; Suresh S.; Koolagudi S.G. Damage identification and assessment using image processing on post-disaster satellite imagery. Proceedings of the 2017 IEEE Global Humanitarian Technology Conference (GHTC), Seattle, WA, USA, 17–20 October 2017, ; pp. 1-7.
Paper not yet in RePEc: Add citation now
- Jozdani S.E.; Johnson B.A.; Chen D. Comparing Deep Neural Networks, Ensemble Classifiers, and Support Vector Machine Algorithms for Object-Based Urban Land Use/Land Cover Classification. Remote Sens. 2019, 11.
Paper not yet in RePEc: Add citation now
- Kastridis A.; Kirkenidis C.; Sapountzis M. An integrated approach of flash flood analysis in ungauged Mediterranean watersheds using post-flood surveys and Unmanned Aerial Vehicles (UAVs). Hydrol. Processes 2020.
Paper not yet in RePEc: Add citation now
- Khosravi K.; Panahi M.; Golkarian A.; Keesstra S.D.; Saco P.M.; Bui D.T.; Lee S. Convolutional neural network approach for spatial prediction of flood hazard at national scale of Iran. J. Hydrol. 2020, 591, 125552.
Paper not yet in RePEc: Add citation now
- Kollias D.; Tagaris A.; Stafylopatis A.; Kollias S.; Tagaris G. Deep neural architectures for prediction in healthcare. Complex Intell. Syst. 2018, 4, 119-131.
Paper not yet in RePEc: Add citation now
- Krizhevsky A.; Sutskever I.; Hinton G. Magenet classification with deep convolutional neural networks. Proceedings of the Advances in Neural Information Processing Systems, Lake Tahoe, NV, USA, 3–6 December 2012, ; pp. 1097-1105.
Paper not yet in RePEc: Add citation now
- Kumar S.J.; Kumar S.; Choksi M.; Zaveri M.A. Collaborative data acquisition and processing for post disaster manage-ment and surveillance related tasks using UAV-based IoT cloud. Int. J. Ad Hoc Ubiquitous Comput. 2020, 34, 216-232.
Paper not yet in RePEc: Add citation now
- Li Y.; Martinis S.; Wieland M. Urban flood mapping with an active self-learning convolutional neural network based on TerraSAR-X intensity and interferometric coherence. ISPRS J. Photogramm. Remote Sens. 2019, 152, 178-191.
Paper not yet in RePEc: Add citation now
Lim H.R.; Lim M.B.B.; Piantanakulchai M. Determinants of household flood evacuation mode choice in a developing country. Nat. Hazards 2016, 84, 507-532. Ritchie H.; Roser M. Natural Disasters.
- Liu W.; Chen Z.; Zheng M. An Audio-Based Fault Diagnosis Method for Quadrotors Using Convolutional Neural Network and Transfer Learning. Proceedings of the 2020 American Control Conference (ACC), Denver, CO, USA, 1–3 July 2020, .
Paper not yet in RePEc: Add citation now
- Lopez-Fuentes L.; Van de Weijer J.; Bolanos M.; Skinnemoen H. Multi-modal deep learning approach for flood detection. Proceedings of the MediaEval 2017 Workshop, Dublin, Ireland, 13–15 September 2017, .
Paper not yet in RePEc: Add citation now
Low S.; Ullah F.; Shirowzhan S.; Sepasgozar S.M.; Lee C.L. Smart Digital Marketing Capabilities for Sustainable Property Development: A Case of Malaysia. Sustainability 2020, 12.
- Lyu H.-M.; Shen S.-L.; Zhou A.; Yang J. Perspectives for flood risk assessment and management for mega-city metro system. Tunn. Undergr. Space Technol. 2019, 84, 31-44.
Paper not yet in RePEc: Add citation now
- Marmanis D.; Wegner J.D.; Galliani S.; Schindler K.; Datcu M.; Stilla U. Semantic Segmentation of Aerial Images with an Ensemble of CNNs. ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci. 2016, 3, 473-480.
Paper not yet in RePEc: Add citation now
- Mason D.C.; Speck R.; Devereux B.; Schumann G.J.P.; Neal J.C.; Bates P.D. Flood Detection in Urban Areas Using Ter-raSAR-X. IEEE Trans. Geosci. Remote Sens. 2010, 48, 882-894.
Paper not yet in RePEc: Add citation now
- Mehallegue N.; Djellab M.; Loukhaoukha K. Efficient Use of UAVs for Public Safety in Disaster and Crisis Management. Wirel. Pers. Commun. 2020, 1-12.
Paper not yet in RePEc: Add citation now
- Mousa M.; Zhang X.; Claudel C. Flash Flood Detection in Urban Cities Using Ultrasonic and Infrared Sensors. IEEE Sens. J. 2016, 16, 7204-7216.
Paper not yet in RePEc: Add citation now
- Munawar H.S. Flood Disaster Management: Risks, Technologies, and Future Directions. Machine Vision Inspection Systems: Image Processing, Concepts, Methodologies and Applications; Wiley: Hoboken, NJ, USA, 2020; pp. 115-146.
Paper not yet in RePEc: Add citation now
- Munawar H.S. Image and Video Processing for Defect Detection in Key Infrastructure. Mach. Vis. Insp. Syst. 2020, 1, 159-177.
Paper not yet in RePEc: Add citation now
- Munawar H.S.; Hammad A.; Ullah F.; Ali T.H. After the flood: A novel application of image processing and machine learning for post-flood disaster management. Proceedings of the 2nd International Conference on Sustainable Development in Civil Engineering (ICSDC 2019), Jamshoro, Pakistan, 5–7 December 2019, .
Paper not yet in RePEc: Add citation now
- Munawar H.S.; Maqsood A. Isotropic surround suppression based linear target detection using hough transform. Proceedings of the International Conference on Cultural Technologies (ICCT 2017), Chiang Mai, Thailand, 12–14 January 2017, ; pp. 357-361.
Paper not yet in RePEc: Add citation now
- Munawar H.S.; Qayyum S.; Ullah F.; Sepasgozar S. Big Data and Its Applications in Smart Real Estate and the Disaster Management Life Cycle: A Systematic Analysis. Big Data Cogn. Comput. 2020, 4.
Paper not yet in RePEc: Add citation now
- Munawar H.S.; Zhang J.; Li H.; Mo D.; Chang L. Mining Multispectral Aerial Images for Automatic Detection of Strategic Bridge Locations for Disaster Relief Missions. Trends and Applications in Knowledge Discovery and Data Mining; Springer: Berlin, Germany, 2019.
Paper not yet in RePEc: Add citation now
- Munawar S.H.; Maqsood A.; Mustansar Z. Isotropic surround suppression and Hough transform based target recognition from aerial images. Int. J. Adv. Appl. Sci. 2017, 4, 37-42.
Paper not yet in RePEc: Add citation now
- Narayanan R.; Lekshmy V.M.; Rao S.; Sasidhar K. A novel approach to urban flood monitoring using computer vision. Proceedings of the Fifth International Conference on Computing, Communications and Networking Technologies (ICCCNT), Hefei, China, 11–13 July 2014, 2014; pp. 1-7.
Paper not yet in RePEc: Add citation now
- Nguyen T.; Han J.; Park D.-C. Satellite image classification using convolutional learning. Proceedings of the 11th International Conference of Numerical Analysis and Applied Mathematics 2013, Rhodes, Greece, 21–27 September 2011, 2013; pp. 2237-2240.
Paper not yet in RePEc: Add citation now
- Pan J.; Yin Y.; Xiong J.; Luo W.; Gui G.; Sari H. Deep Learning-Based Unmanned Surveillance Systems for Observing Water Levels. IEEE Access 2018, 6, 73561-73571.
Paper not yet in RePEc: Add citation now
- Pradhan B.; Tehrany M.S.; Jebur M.N. A New Semiautomated Detection Mapping of Flood Extent from TerraSAR-X Satellite Image Using Rule-Based Classification and Taguchi Optimization Techniques. IEEE Trans. Geosci. Remote Sens. 2016, 54, 4331-4342.
Paper not yet in RePEc: Add citation now
- Qadir Z.; Ullah F.; Munawar H.S.; Al-Turjman F. Addressing disasters in smart cities through UAVs path planning and 5G communications: A systematic review. Comput. Commun. 2021, 168, 114-135.
Paper not yet in RePEc: Add citation now
- Qayyum S.; Ullah F.; Al-Turjman F.; Mojtahedi M. Managing smart cities through six sigma DMADICV method: A review-based conceptual framework. Sustain. Cities Soc. 2021, 72, 103022.
Paper not yet in RePEc: Add citation now
- Rizeei H.M.; Pradhan B.; Saharkhiz M.A. An integrated fluvial and flash pluvial model using 2D high-resolution sub-grid and particle swarm optimization-based random forest approaches in GIS. Complex Intell. Syst. 2019, 5, 283-302.
Paper not yet in RePEc: Add citation now
- Rottondi C.; Malandrino F.; Bianco A.; Chiasserini C.F.; Stavrakakis I. Scheduling of emergency tasks for multiservice UAVs in post-disaster scenarios. Comput. Netw. 2021, 184, 107644.
Paper not yet in RePEc: Add citation now
- Sande V.C.; Jong D.S.; Roo D.A. A segmentation and classification approach of IKONOS-2 imagery for land cover mapping to assist flood risk and flood damage assessment. Int. J. Appl. Earth Observ. Geoinf. 2003, 217-229.
Paper not yet in RePEc: Add citation now
- Sankaranarayanan S.; Prabhakar M.; Satish S.; Jain P.; Ramprasad A.; Krishnan A. Flood prediction based on weather parameters using deep learning. J. Water Clim. Chang. 2020, 11, 1766-1783.
Paper not yet in RePEc: Add citation now
- Shabir O. A Summary Case Report on the Health Impacts and Response to the Pakistan Floods of 2010. PLoS Curr. 2013, 5.
Paper not yet in RePEc: Add citation now
- Sherrah J. Fully Convolutional Networks for Dense Semantic Labelling of High-Resolution Aerial Imagery. arXiv 2016.
Paper not yet in RePEc: Add citation now
Shrestha B.B.; Sawano H.; Ohara M.; Yamazaki Y.; Tokunaga Y. Methodology for Agricultural Flood Damage Assessment. Recent Advances in Flood Risk Management; IntechOpen: London, UK, 2019. Damage and Losses from Climate-Related Disasters in Agricultural Sectors.
- Simonyan K.; Zisserman A. Two-stream convolutional networks for action recognition in videos. Proceedings of the NIPS’14: Proceedings of the 27th International Conference on Neural Information Processing Systems, Montreal, QC, Canada, 8–13 December 2014, .
Paper not yet in RePEc: Add citation now
- Smith A. 2017 U.S. Billion-Dollar Weather and Climate Disasters: A Historic Year in Context.
Paper not yet in RePEc: Add citation now
- Smith L.; Liang Q.; James P.; Lin W. Assessing the utility of social media as a data source for flood risk management using a real-time modelling framework: Assessing the utility of social media for flood risk management. J. Flood Risk Manag. 2017, 10, 370-380.
Paper not yet in RePEc: Add citation now
- Sutskever I.; Hinton G.E. Deep, Narrow Sigmoid Belief Networks Are Universal Approximators. Neural Comput. 2008, 20, 2629-2636.
Paper not yet in RePEc: Add citation now
- Ullah F.; Sepasgozar P.S.; Ali T.H. Real estate stakeholders technology acceptance model (RESTAM): User-focused big9 disruptive technologies for smart real estate management. Proceedings of the 2nd International Conference on Sustainable Development in Civil Engineering (ICSDC 2019), Jamshoro, Pakistan, 5–7 December 2019, .
Paper not yet in RePEc: Add citation now
- Ullah F.; Sepasgozar S.M.; Shirowzhan S.; Davis S. Modelling users’ perception of the online real estate platforms in a digitally disruptive environment: An integrated KANO-SISQual approach. Telemat. Inform. 2021, 63, 101660.
Paper not yet in RePEc: Add citation now
- Ullah F.; Sepasgozar S.M.; Thaheem M.J.; Wang C.C.; Imran M. It’s all about perceptions: A DEMATEL approach to exploring user perceptions of real estate online platforms. Ain Shams Eng. J. 2021.
Paper not yet in RePEc: Add citation now
- Ullah F.; Sepasgozar S.M.E. A Study of Information Technology Adoption for Real-Estate Management: A System Dynamic Model. Innov. Prod. Constr. 2019, 469-486.
Paper not yet in RePEc: Add citation now
Ullah F.; Sepasgozar S.M.E.; Wang C. A Systematic Review of Smart Real Estate Technology: Drivers of, and Barriers to, the Use of Digital Disruptive Technologies and Online Platforms. Sustainability 2018, 10.
- Ullah F.; Sepasgozer S.; Tahmasebinia F.; Sepasgozar S.M.E.; Davis S. Examining the impact of students’ attendance, sketching, visualization, and tutors experience on students’ performance: A case of building structures course in construction management. Constr. Econ. Build. 2020, 20, 3.
Paper not yet in RePEc: Add citation now
- Veh G.; Korup O.; Walz A. Hazard from Himalayan glacier lake outburst floods. Proc. Natl. Acad. Sci. USA 2020, 117, 907-912.
Paper not yet in RePEc: Add citation now
- Wang Y.; Chen A.; Fu G.; Djordjevic S.; Zhang C.; Savić D.A. An integrated framework for high-resolution urban flood modelling considering multiple information sources and urban features. Environ. Model. Softw. 2018, 107, 85-95.
Paper not yet in RePEc: Add citation now
- Xue G.; Liu S.; Ma Y. A hybrid deep learning-based fruit classification using attention model and convolution autoencoder. Complex Intell. Syst. 2020, 1-11.
Paper not yet in RePEc: Add citation now
- Ye H.; Wu Z.; Zhao R.-W.; Wang X.; Jiang Y.-G.; Xue X. Evaluating Two-Stream CNN for Video Classification. Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, Shanghai, China, 23–26 June 2015, ; pp. 435-442.
Paper not yet in RePEc: Add citation now
- Zha S.; Luisier F.; Andrews W.; Srivastava N.; Salakhutdinov R. Exploiting Image-trained CNN Architectures for Uncon-strained Video Classification. Proceedings of the British Machine Vision Conference 2015, Swansea, UK, 7–10 September 2015, 2015; pp. 60.1-60.13.
Paper not yet in RePEc: Add citation now
- Zhao G.; Pang B.; Xu Z.; Peng D.; Zuo D. Urban flood susceptibility assessment based on convolutional neural networks. J. Hydrol. 2020, 590, 125235.
Paper not yet in RePEc: Add citation now
- Zhao Y.; Wang T.; Zhang S.; Wang Y. Towards minimum code dissemination delay through UAV joint vehicles for smart city. IET Commun. 2020, 14, 2442-2452.
Paper not yet in RePEc: Add citation now