Mark Tascillo

According to our database, Mark Tascillo authored at least 3 papers in 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Deep Convolutional Autoencoder for Assessment of Anomalies in Multi-stream Sensor Data.

Anthony Geglio, Eisa Hedayati, Mark Tascillo, Dyche Anderson, Jonathan Barker, Timothy C. Havens

CoRR, 2022

Deep Convolutional Autoencoder for Assessment of Drive-Cycle Anomalies in Connected Vehicle Sensor Data.

Anthony Geglio, Eisa Hedayati, Mark Tascillo, Dyche Anderson, Jonathan Barker, Timothy C. Havens

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

A Spatial Data-Driven Vehicle Speed Prediction Framework for Energy Management of HEVs Using Multi-Horizon MPC with Non-uniform Sampling.

Qiuhao Hu, Mohammad Reza Amini, Ashley Wiese, Mark Tascillo, Julia Buckland Seeds, Ilya V. Kolmanovsky, Jing Sun

Proceedings of the American Control Conference, 2022