Adedotun Akintayo

According to our database, Adedotun Akintayo authored at least 9 papers between 2015 and 2021.

Collaborative distances:

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

2021

3D Convolutional Selective Autoencoder For Instability Detection in Combustion Systems.

Tryambak Gangopadhyay, Vikram Ramanan, Adedotun Akintayo, Paige K. Boor, Soumalya Sarkar, Satyanarayanan R. Chakravarthy, Soumik Sarkar

CoRR, 2021

2018

Hierarchical symbolic dynamic filtering of streaming non-stationary time series data.

Adedotun Akintayo, Soumik Sarkar

Signal Process., 2018

Building Energy Disaggregation using Spatiotemporal Pattern Network.

Chao Liu, Zhanhong Jiang, Adedotun Akintayo, Gregor P. Henze, Soumik Sarkar

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Hierarchical feature extraction from spatiotemporal data for cyber-physical system analytics.

Adedotun Akintayo

PhD thesis, 2017

LLNet: A deep autoencoder approach to natural low-light image enhancement.

Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar

Pattern Recognit., 2017

2016

A Bayesian Network approach to County-Level Corn Yield Prediction using historical data and expert knowledge.

Vikas Chawla, Hsiang Sing Naik, Adedotun Akintayo, Dermot Hayes, Patrick S. Schnable, Baskar Ganapathysubramanian, Soumik Sarkar

CoRR, 2016

Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video.

Adedotun Akintayo, Kin Gwn Lore, Soumalya Sarkar, Soumik Sarkar

CoRR, 2016

An end-to-end convolutional selective autoencoder approach to Soybean Cyst Nematode eggs detection.

Adedotun Akintayo, Nigel Lee, Vikas Chawla, Mark Mullaney, Christopher Marett, Asheesh K. Singh, Arti Singh, Greg Tylka, Baskar Ganapathysubramanian, Soumik Sarkar

CoRR, 2016

2015

A Symbolic Dynamic Filtering approach to unsupervised hierarchical feature extraction from time-series data.

Adedotun Akintayo, Soumik Sarkar

Proceedings of the American Control Conference, 2015