Bryan C. Pijanowski

According to our database, Bryan C. Pijanowski authored at least 20 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Time-series forecasting offers novel quantitative measure to assess loud sound event in an urban park with restored prairie.

Kristen Bellisario, Laura Jessup, Jack VanSchaik, John B. Dunning, Cristian Graupe, David Savage, Bryan C. Pijanowski

Ecol. Informatics, July, 2023

2022

Urban growth modeling based on cellular automata with transition rules optimized using genetic fuzzy systems.

Ehsan Foroutan, Mahmoud Reza Delavar, Bryan C. Pijanowski, Babak Nadjar Araabi

Trans. GIS, 2022

2021

Integration of adaptive neural fuzzy inference system and fuzzy rough set theory with support vector regression to urban growth modelling.

D. Parvinnezhad, Mahmoud Reza Delavar, Bryan C. Pijanowski, Christophe Claramunt

Earth Sci. Informatics, 2021

2019

The land transformation model-cluster framework: Applying <i>k</i>-means and the Spark computing environment for large scale land change analytics.

Hichem Omrani, Benoit Parmentier, Marco Helbich, Bryan C. Pijanowski

Environ. Model. Softw., 2019

Contributions of MIR to Soundscape Ecology. Part 2: Spectral timbral analysis for discriminating soundscape components.

Kristen Bellisario, Jack VanSchaik, Zhao Zhao, Amandine Gasc, Hichem Omrani, Bryan C. Pijanowski

Ecol. Informatics, 2019

Contributions of MIR to soundscape ecology. Part I: Potential methodological synergies.

Kristen Bellisario, Bryan C. Pijanowski

Ecol. Informatics, 2019

Contributions of MIR to soundscape ecology. Part 3: Tagging and classifying audio features using a multi-labeling <i>k</i>-nearest neighbor approach.

Kristen Bellisario, Taylor Broadhead, David Savage, Zhao Zhao, Hichem Omrani, Sai-hua Zhang, John A. Springer, Bryan C. Pijanowski

Ecol. Informatics, 2019

2018

Automatic Bird Vocalization Identification Based on Fusion of Spectral Pattern and Texture Features.

Sai-hua Zhang, Zhao Zhao, Zhi-yong Xu, Kristen Bellisario, Bryan C. Pijanowski

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

A multi-label cellular automata model for land change simulation.

Omar Charif, Hichem Omrani, Fahed Abdallah, Bryan C. Pijanowski

Trans. GIS, 2017

Automated bird acoustic event detection and robust species classification.

Zhao Zhao, Sai-hua Zhang, Zhi-yong Xu, Kristen Bellisario, Nian-hua Dai, Hichem Omrani, Bryan C. Pijanowski

Ecol. Informatics, 2017

Long-Term Land Cover Data for the Lower Peninsula of Michigan, 2010-2050.

Amin Tayyebi, Samuel J. Smidt, Bryan C. Pijanowski

Data, 2017

2016

Urban Growth Modeling Using Cellular Automata with Multi-Temporal Remote Sensing Images Calibrated by the Artificial Bee Colony Optimization Algorithm.

Fereydoun Naghibi, Mahmoud Reza Delavar, Bryan C. Pijanowski

Sensors, 2016

2014

Comparing three global parametric and local non-parametric models to simulate land use change in diverse areas of the world.

Amin Tayyebi, Bryan C. Pijanowski, Marc Linderman, Claudio Gratton

Environ. Model. Softw., 2014

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.

Bryan C. Pijanowski, Amin Tayyebi, Jarrod Doucette, Burak K. Pekin, David Braun, James Plourde

Environ. Model. Softw., 2014

Modeling multiple land use changes using ANN, CART and MARS: Comparing tradeoffs in goodness of fit and explanatory power of data mining tools.

Amin Tayyebi, Bryan C. Pijanowski

Int. J. Appl. Earth Obs. Geoinformation, 2014

2013

Mapping Open Space in an Old-Growth, Secondary-Growth, and Selectively-Logged Tropical Rainforest Using Discrete Return LIDAR.

Jinha Jung, Burak K. Pekin, Bryan C. Pijanowski

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

Spatially-Explicit Bayesian Information Entropy Metrics for Calibrating Landscape Transformation Models.

Konstantinos T. Alexandridis, Bryan C. Pijanowski

Entropy, 2013

2008

Optimizing unsupervised classifications of remotely sensed imagery with a data-assisted labeling approach.

Ruili Lang, Guofan Shao, Bryan C. Pijanowski, Richard L. Farnsworth

Comput. Geosci., 2008

2005

Distributed Modeling Architecture of a Multi-Agent-Based Behavioral Economic Landscape (MABEL) Model.

Zhen Lei, Bryan C. Pijanowski, Konstantinos T. Alexandridis, Jennifer Olson

Simul., 2005

Calibrating a neural network-based urban change model for two metropolitan areas of the Upper Midwest of the United States.

Bryan C. Pijanowski, Snehal Pithadia, Bradley Shellito, Konstantinos T. Alexandridis

Int. J. Geogr. Inf. Sci., 2005