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Bryan C. Pijanowski
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2020 – today
- 2023
- [j19]Kristen Bellisario, Laura Jessup, Jack VanSchaik, John B. Dunning, Cristian Graupe, David Savage, Bryan C. Pijanowski:
Time-series forecasting offers novel quantitative measure to assess loud sound event in an urban park with restored prairie. Ecol. Informatics 75: 102100 (2023) - 2022
- [j18]Ehsan Foroutan
, Mahmoud Reza Delavar
Urban growth modeling based on cellular automata with transition rules optimized using genetic fuzzy systems. Trans. GIS 26(8): 3253-3276 (2022) - 2021
- [j17]D. Parvinnezhad
Integration of adaptive neural fuzzy inference system and fuzzy rough set theory with support vector regression to urban growth modelling. Earth Sci. Informatics 14(1): 17-36 (2021)
2010 – 2019
- 2019
- [j16]Kristen Bellisario
Contributions of MIR to Soundscape Ecology. Part 2: Spectral timbral analysis for discriminating soundscape components. Ecol. Informatics 51: 1-14 (2019) - [j15]Kristen Bellisario
Contributions of MIR to soundscape ecology. Part I: Potential methodological synergies. Ecol. Informatics 51: 96-102 (2019) - [j14]Kristen Bellisario
Contributions of MIR to soundscape ecology. Part 3: Tagging and classifying audio features using a multi-labeling k-nearest neighbor approach. Ecol. Informatics 51: 103-111 (2019) - [j13]Hichem Omrani
The land transformation model-cluster framework: Applying k-means and the Spark computing environment for large scale land change analytics. Environ. Model. Softw. 111: 182-191 (2019) - 2018
- [c1]Sai-hua Zhang, Zhao Zhao
Automatic Bird Vocalization Identification Based on Fusion of Spectral Pattern and Texture Features. ICASSP 2018: 271-275 - 2017
- [j12]Amin Tayyebi
Long-Term Land Cover Data for the Lower Peninsula of Michigan, 2010-2050. Data 2(2): 16 (2017) - [j11]Zhao Zhao
Automated bird acoustic event detection and robust species classification. Ecol. Informatics 39: 99-108 (2017) - [j10]Omar Charif
A multi-label cellular automata model for land change simulation. Trans. GIS 21(6): 1298-1320 (2017) - 2016
- [j9]Fereydoun Naghibi
Urban Growth Modeling Using Cellular Automata with Multi-Temporal Remote Sensing Images Calibrated by the Artificial Bee Colony Optimization Algorithm. Sensors 16(12): 2122 (2016) - 2014
- [j8]Amin Tayyebi
Modeling multiple land use changes using ANN, CART and MARS: Comparing tradeoffs in goodness of fit and explanatory power of data mining tools. Int. J. Appl. Earth Obs. Geoinformation 28: 102-116 (2014) - [j7]Bryan C. Pijanowski
A big data urban growth simulation at a national scale: Configuring the GIS and neural network based Land Transformation Model to run in a High Performance Computing (HPC) environment. Environ. Model. Softw. 51: 250-268 (2014) - [j6]Amin Tayyebi
Comparing three global parametric and local non-parametric models to simulate land use change in diverse areas of the world. Environ. Model. Softw. 59: 202-221 (2014) - 2013
- [j5]Konstantinos T. Alexandridis
Spatially-Explicit Bayesian Information Entropy Metrics for Calibrating Landscape Transformation Models. Entropy 15(7): 2480-2509 (2013) - [j4]Jinha Jung
Mapping Open Space in an Old-Growth, Secondary-Growth, and Selectively-Logged Tropical Rainforest Using Discrete Return LIDAR. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(6): 2453-2461 (2013)
2000 – 2009
- 2008
- [j3]Ruili Lang, Guofan Shao, Bryan C. Pijanowski, Richard L. Farnsworth:
Optimizing unsupervised classifications of remotely sensed imagery with a data-assisted labeling approach. Comput. Geosci. 34(12): 1877-1885 (2008) - 2005
- [j2]Bryan C. Pijanowski, Snehal Pithadia, Bradley Shellito, Konstantinos T. Alexandridis
Calibrating a neural network-based urban change model for two metropolitan areas of the Upper Midwest of the United States. Int. J. Geogr. Inf. Sci. 19(2): 197-215 (2005) - [j1]Zhen Lei, Bryan C. Pijanowski, Konstantinos T. Alexandridis
Distributed Modeling Architecture of a Multi-Agent-Based Behavioral Economic Landscape (MABEL) Model. Simul. 81(7): 503-515 (2005)
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