70 citations
9 papers
ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction
Shengkun Wang, YangXiao Bai, Kaiqun Fu +3
For both investors and policymakers, forecasting the stock market is essential as it serves as an indicator of economic well-being. To this end, we harness the power of social medi…
Improving FHB Screening in Wheat Breeding Using an Efficient Transformer Model
Babak Azad, Ahmed Abdalla, Kwanghee Won +1
Fusarium head blight is a devastating disease that causes significant economic losses annually on small grains. Efficiency, accuracy, and timely detection of FHB in the resistance…
Learning trends of COVID-19 using semi-supervised clustering
Semhar Michael, Xuwen Zhu, Volodymyr Melnykov
A finite mixture model is used to learn trends from the currently available data on coronavirus (COVID-19). Data on the number of confirmed COVID-19 related cases and deaths for Eu…
Data-Driven Power Electronic Converter Modeling for Low Inertia Power System Dynamic Studies
Nischal Guruwacharya, Niranjan Bhujel, Ujjwol Tamrakar +5
A significant amount of converter-based generation is being integrated into the bulk electric power grid to fulfill the future electric demand through renewable energy sources, suc…
Perpendicular Magnetic Anisotropy in Conducting NiCo2O4 Films from Spin-Lattice Coupling
Corbyn Mellinger, Jace Waybright, Xiaozhe Zhang +2
High perpendicular magnetic anisotropy (PMA), a property needed for nanoscale spintronic applications, is rare in oxide conductors. We report the observation of a PMA up to 0.23 MJ…
Exploring the Daschle Collection using Text Mining
Damon Bayer, Semhar Michael
A U.S. Senator from South Dakota donated documents that were accumulated during his service as a house representative and senator to be housed at the Bridges library at South Dakot…