Stochastic Computing Architectures for Lightweight LSTM Neural Networks. - Roshwin Sengupta; Ilia Polian; John P. Hayes (DDECS, 2022)

Wavelet Transform Assisted Neural Networks for Human Activity Recognition. - Roshwin Sengupta; Ilia Polian; John P. Hayes (ISCAS, 2022)

Fault Tolerance in Stochastic Circuits for Recurrent Sequential Neural Networks. - Roshwin Sengupta; Ilia Polian; John P. Hayes (ATS, 2024)

Performance and Error Tolerance of Stochastic Computing-Based Digital Filter Design. - Roshwin Sengupta; Ilia Polian; John P. Hayes (DDECS, 2024)

Motion Classification by Utilizing Machine Learning for Acceleration Data. - Kenzaburo Ishizu; Toshimitsu Honda; Kohei Miyase; Stefan Holst; Shudai Ishikawa; Roshwin Sengupta; Ilia Polian (ICCE, 2025)

Low-Power Continuous Wavelet Transform Employing Stochastic Computing. - Roshwin Sengupta; Ilia Polian; John P. Hayes (ISCAS, 2025)