
Ibrahim Demir
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2020 – today
- 2021
- [j11]Bekir Z. Demiray, Muhammed Ali Sit, Ibrahim Demir:
D-SRGAN: DEM Super-Resolution with Generative Adversarial Networks. SN Comput. Sci. 2(1): 48 (2021) - 2020
- [j10]Zhongrun Xiang, Ibrahim Demir:
Distributed long-term hourly streamflow predictions using deep learning - A case study for State of Iowa. Environ. Model. Softw. 131: 104761 (2020) - [c7]Yusuf Sermet, Ibrahim Demir:
An Immersive Decision Support System for Disaster Response. VRST 2020: 40:1-40:3 - [p1]Yusuf Sermet, Ibrahim Demir:
Virtual and augmented reality applications for environmental science education and training. New Perspectives on Virtual and Augmented Reality 2020: 261-275 - [i6]Akshat Gautam, Muhammed Ali Sit, Ibrahim Demir:
Realistic River Image Synthesis using Deep Generative Adversarial Networks. CoRR abs/2003.00826 (2020) - [i5]Bekir Z. Demiray, Muhammed Ali Sit, Ibrahim Demir:
D-SRGAN: DEM Super-Resolution with Generative Adversarial Networks. CoRR abs/2004.04788 (2020) - [i4]Yusuf Sermet, Ibrahim Demir:
A Semantic Web Framework for Automated Smart Assistants: COVID-19 Case Study. CoRR abs/2007.00747 (2020) - [i3]Muhammed Ali Sit, Bekir Z. Demiray, Zhongrun Xiang, Gregory J. Ewing, Yusuf Sermet, Ibrahim Demir:
A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources. CoRR abs/2007.12269 (2020)
2010 – 2019
- 2019
- [j9]Ibrahim Demir, Fatma Corut Ergin
, Berna Kiraz:
A New Model for the Multi-Objective Multiple Allocation Hub Network Design and Routing Problem. IEEE Access 7: 90678-90689 (2019) - [j8]Muhammed Ali Sit
, Caglar Koylu
, Ibrahim Demir
:
Identifying disaster-related tweets and their semantic, spatial and temporal context using deep learning, natural language processing and spatial analysis: a case study of Hurricane Irma. Int. J. Digit. Earth 12(11): 1205-1229 (2019) - [j7]Bong-Chul Seo, Munsung Keem
, Raymond Hammond
, Ibrahim Demir
, Witold F. Krajewski
:
A pilot infrastructure for searching rainfall metadata and generating rainfall product using the big data of NEXRAD. Environ. Model. Softw. 117: 69-75 (2019) - [j6]Yusuf Sermet
, Ibrahim Demir:
Towards an information centric flood ontology for information management and communication. Earth Sci. Informatics 12(4): 541-551 (2019) - [c6]Jerry Mount, Yazeed Alabbad, Ibrahim Demir:
Towards an Integrated and Realtime Wayfinding Framework for Flood Events. ARIC@SIGSPATIAL 2019: 33-36 - [c5]Yusuf Sermet, Ibrahim Demir:
Flood action VR: a virtual reality framework for disaster awareness and emergency response training. SIGGRAPH Posters 2019: 27:1-27:2 - [i2]Muhammed Ali Sit, Ibrahim Demir:
Decentralized Flood Forecasting Using Deep Neural Networks. CoRR abs/1902.02308 (2019) - [i1]Yusuf Sermet, Ibrahim Demir:
A Generalized Web Component for Domain-Independent Smart Assistants. CoRR abs/1909.02507 (2019) - 2018
- [j5]Yusuf Sermet, Ibrahim Demir:
An intelligent system on knowledge generation and communication about flooding. Environ. Model. Softw. 108: 51-60 (2018) - 2017
- [c4]Ozan Dogan, Ibrahim Demir, Umut Aydin:
Distance measurement by phase tracking. SIU 2017: 1-4 - 2014
- [j4]Artür Manukyan, Erhan Çene
, Ahmet Sedef, Ibrahim Demir:
Dandelion plot: a method for the visualization of R-mode exploratory factor analyses. Comput. Stat. 29(6): 1769-1791 (2014) - [c3]Atakan Simsek, Ibrahim Demir, Zahir Tezcan:
KABAN-2: Kullanıcı AraBirimi ve Geçerleme Altyapısı. UYMS 2014 - 2013
- [j3]Ugur Güdükbay
, Ibrahim Demir, Yigithan Dedeoglu:
Motion capture and human pose reconstruction from a single-view video sequence. Digit. Signal Process. 23(5): 1441-1450 (2013) - [j2]Ibrahim Demir, Witold F. Krajewski:
Towards an integrated Flood Information System: Centralized data access, analysis, and visualization. Environ. Model. Softw. 50: 77-84 (2013)
2000 – 2009
- 2009
- [c2]Ibrahim Demir, Feng Jiang, Rodrigo Villarroel Walker, Amanda K. Parker, M. Bruce Beck:
Information Systems and Social Legitimacy: Scientific Visualization of Water Quality. SMC 2009: 1067-1072 - 2005
- [j1]Güleda Önkal-Engin
, Ibrahim Demir, Seref Naci Engin:
Determination of the relationship between sewage odour and BOD by neural networks. Environ. Model. Softw. 20(7): 843-850 (2005) - [c1]Güleda Önkal-Engin
, Ibrahim Demir, Seref Naci Engin:
e-NOSE Response Classification of Sewage Odors by Neural Networks and Fuzzy Clustering. ICNC (2) 2005: 648-651
Coauthor Index

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