Dino Isa
Institute for the Future(US)
Publications by Year
Research Areas
Advanced Battery Technologies Research, Text and Document Classification Technologies, Supercapacitor Materials and Fabrication, Face and Expression Recognition, Electric and Hybrid Vehicle Technologies
Most-Cited Works
- → Hybrid energy storage systems and control strategies for stand-alone renewable energy power systems(2016)268 cited
- → Text Document Preprocessing with the Bayes Formula for Classification Using the Support Vector Machine(2008)218 cited
- → A REVIEW OF METAL OXIDE COMPOSITE ELECTRODE MATERIALS FOR ELECTROCHEMICAL CAPACITORS(2014)188 cited
- → An optimal control strategy for standalone PV system with Battery-Supercapacitor Hybrid Energy Storage System(2016)173 cited
- → An enhanced Support Vector Machine classification framework by using Euclidean distance function for text document categorization(2011)151 cited
- → A load predictive energy management system for supercapacitor-battery hybrid energy storage system in solar application using the Support Vector Machine(2014)143 cited
- → Photocatalytic study of two-dimensional ZnO nanopellets in the decomposition of methylene blue(2010)137 cited
- → A hybrid text classification approach with low dependency on parameter by integrating K-nearest neighbor and support vector machine(2012)102 cited
- → Using the self organizing map for clustering of text documents(2008)94 cited
- → Modeling of commercial proton exchange membrane fuel cell using support vector machine(2016)93 cited