Vermont EPSCoR Publications and Products
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. Forest land use activities and fragmentation as a threat to Northeastern forest cover and water quality. 2019 Forest Ecosystem Monitoring Cooperative (FEMC) Conference [Internet]. 2019 . Available from: https://www.uvm.edu/femc/cooperative/conference/2019/agenda
. Numerical simulation of particle bed scour by vortices. Journal of Turbulence. Under Review .
Priorities for synthesis research in ecology and environmental science. Ecosphere [Internet]. 2023 ;14(1). Available from: https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecs2.4342
. Mining Climate Change Awareness on Twitter: A PageRank Network Analysis Method . Lecture Notes in Computer ScienceComputational Science and Its Applications -- ICCSA 2015 [Internet]. 2015 ;9155:16 - 31. Available from: http://link.springer.com/chapter/10.1007%2F978-3-319-21404-7_2
. Modeling the impacts of climate change on water quality in lake Champlain: Design of an integrated assessment model using Pegasus scientific workflow. In: 2014 Vermont Monitoring Cooperative and Mt. Mansfield science and stewardship conference. 2014 Vermont Monitoring Cooperative and Mt. Mansfield science and stewardship conference. Burlington, VT; 2014. Available from: http://www.uvm.edu/~imohamme/PDF/EPSCoR-VMC-DrHamed-IAM-Pegasus.pdf
. Mining Patterns in Big Data K-H Networks. In: IEEE International Conference on Computer Systems and Applications. IEEE International Conference on Computer Systems and Applications. Doha, Qatar; 2014. Available from: http://www.researchgate.net/publication/265397234_Mining_Patterns_in_Big_Data_K-H_Networks
. Mining Climate Change Awareness on Twitter: A PageRank Network Analysis Method. In: The 15th International Conference on Computational Science and Its Applications (ICCSA 2015). The 15th International Conference on Computational Science and Its Applications (ICCSA 2015). Banff, Canada.; 2015. Available from: http://www.slideshare.net/AhmedAbdeenHamedPhD/hamed-tcalncsiccsa15
. Measuring The Climate Change Impact on Water Quality Using a Weather Generator Pegasus Workflow. In: IAGLR 58th Annual Conference on Great Lake Research. IAGLR 58th Annual Conference on Great Lake Research. Burlington, VT; 2015. Available from: http://www.researchgate.net/publication/272180119_Measuring_The_Climate_Change_Impact_on_Water_Quality_Using_a_Weather_Generator_Pegasus_Workflow
. Measuring climate change on Twitter using Google's algorithm: perception and events. International Journal of Web Information Systems [Internet]. 2015 ;11(4). Available from: http://www.emeraldinsight.com/doi/pdfplus/10.1108/IJWIS-08-2015-0025
. Does Social Media Big Data Make the World Smaller? An Exploratory Analysis of Keyword-Hashtag Networks. In: 2014 IEEE International Congress on Big Data (BigData Congress). 2014 IEEE International Congress on Big Data (BigData Congress). Anchorage, AK, USA: IEEE; 2014. Available from: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6906815
. A twitter recruitment intelligent system: association rule mining for smoking cessation. Social Network Analysis and Mining [Internet]. 2014 ;4(1). Available from: http://link.springer.com/10.1007/s13278-014-0212-6
Ecology under lake ice . Ecology Letters [Internet]. 2017 ;20(1):98 - 111. Available from: http://onlinelibrary.wiley.com/doi/10.1111/ele.12699/full
. A new machine-learning approach for classifying hysteresis in suspended-sediment discharge relationships using high-frequency monitoring data. Water Resources Research [Internet]. 2018 ;54(6):4040-4058. Available from: https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2017WR022238
. Using Distributed Continuous Turbidity Monitoring to Inform Sediment and Sediment-bound Nutrient Budgets in a Small Watershed. 2014 AGU (American Geophysical Union) Fall Meeting. 2014 .
. Sediment Loading and Sources in the Mad River: Implications for sediment-bound nutrient management. IAGLR 2015 [Internet]. 2015 . Available from: http://www.iaglr.org/conference/downloads/2015_program.pdf
. Using unmanned aircraft system (UAS) photogrammetry to monitor bank erosion along river corridors. In: Lake Champlain Research Conference. Lake Champlain Research Conference. Burlington, VT: Lake Champlain Basin Program; 2018. Available from: http://www.lcbp.org/water-environment/data-monitoring/lake-champlain-research-conference/
. Suspended Sediment Prediction Using Artificial Neural Networks and Local Hydrometeorological Data. 2014 NEAEB Conference. 2014 .
. Suspended Sediment Prediction. In: 2014 NEAEB. 2014 NEAEB. Burlington VT; 2014.
. Quantifying streambank erosion using unmanned aerial systems at the site-specific and river network scales. In: Geo-Congress 2017 (Geotechnical Frontiers). Geo-Congress 2017 (Geotechnical Frontiers). Orlando, FL; 2017.
. High Frequency Turbidity Monitoring to Quantify Sediment Loading in the Mad River. 2014 NEAEB Conference. 2014 [cited 0BC].
. Suspended Sediment Prediction Using Artificial Neural Networks and Local Hydrometeorological Data (M.S. Thesis). Burlington VT: University of Vermont; 2014.
. Prediction of suspended sediment in rivers using artificial neural networks: Implications for development of sediment budgets. In: 2013 AGU (American Geophysical Union) Fall Meeting. 2013 AGU (American Geophysical Union) Fall Meeting. San Francisco, CA: American Geophysical Union (AGU); 2013.
. Prediction of suspended sediment in rivers using artificial neural networks and future climate scenarios. NOAA 14th Annual Climate Prediction Applications Science Workshop [Internet]. 2016 . Available from: http://www.uvm.edu/~cpasw/agenda/CPASW_2016_Agenda.pdf
. Quantifying streambank erosion: a comparative study using an unmanned aerial system (UAS) and a terrestrial laser scanner. 2015 AGU (American Geophysical Union) Fall Meeting [Internet]. 2015 . Available from: https://agu.confex.com/agu/fm15/webprogram/Paper85568.html
. Fluvial Processes in Motion: Measuring Bank Erosion and Suspended Sediment Flux using Advanced Geomatics and Machine Learning. Burlington, VT: University of Vermont; 2017.