Directory at CAVS
Selected PublicationsTotal Publications: 231
King, R., AbuOmar, O., & Younan, N. H. (2016). Data Stream Processing for Situational Awareness. 2016 Conference on Big Data from Space - BiDS'16. Santa Cruz de Tenerife, Spain.
Dahal, N., AbuOmar, O., King, R., & Madani, V. (2015). Event Stream Processing for Improved Situational Awareness in the Smart Grid. Expert Systems with Applications. Elsevier. 42(20), 6853–6863. DOI:10.1016/j.eswa.2015.05.003.
AbuOmar, O., King, R., & Younan, N. H. (2015). Data Stream Mining for Multitemporal Remote Sensing Data. 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images. Annecy, France: IEEE.
AbuOmar, O., Nouranian, S., King, R., Ricks, T., & Lacy, T. (2015). Comprehensive Mechanical Property Classification of Vapor-grown Carbon Nanofiber/vinyl Ester Nanocomposites Using Support Vector Machines. Computational Materials Science. Elsevier. 99, 316-325. DOI:10.1016/j.commatsci.2014.12.029. [Document]
Di, L., Yue, P., Ramapriyan, H., & King, R. (2013). Geoscience Data Provenance: An Overview. IEEE Transactions on Geoscience and Remote Sensing. 51(11), 5065-5072.
Dahal, N., AbuOmar, O., King, R., & Madani, V. (2015). Event Stream Processing for Improved Situational Awareness in the Smart Grid. Expert Systems with Applications. Elsevier. 42(20), 6853–6863. DOI:10.1016/j.eswa.2015.05.003.
AbuOmar, O., King, R., & Younan, N. H. (2015). Data Stream Mining for Multitemporal Remote Sensing Data. 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images. Annecy, France: IEEE.
AbuOmar, O., Nouranian, S., King, R., Ricks, T., & Lacy, T. (2015). Comprehensive Mechanical Property Classification of Vapor-grown Carbon Nanofiber/vinyl Ester Nanocomposites Using Support Vector Machines. Computational Materials Science. Elsevier. 99, 316-325. DOI:10.1016/j.commatsci.2014.12.029. [Document]
Di, L., Yue, P., Ramapriyan, H., & King, R. (2013). Geoscience Data Provenance: An Overview. IEEE Transactions on Geoscience and Remote Sensing. 51(11), 5065-5072.