163 citations · 218 across the 17 of their papers we have counts for
6 papers · 1 filter
A 0.16pJ/bit Recurrent Neural Network Based PUF for Enhanced Machine Learning Atack Resistance
Nimesh Shah, Manaar Alam, Durga Prasad Sahoo +2
Physically Unclonable Function (PUF) circuits are finding widespread use due to increasing adoption of IoT devices. However, the existing strong PUFs such as Arbiter PUFs (APUF) an…
Experimental Comparison of Hardware-Amenable Spike Detection Algorithms for iBMIs
Shoeb Shaikh, Rosa So, Camilo Libedinsky +1
This paper presents an experiment based comparison of absolute threshold (AT) and non-linear energy operator (NEO) spike detection algorithms in Intra-cortical Brain Machine Interf…
Real-time Closed Loop Neural Decoding on a Neuromorphic Chip
Shoeb Shaikh, Rosa So, Tafadzwa Sibindi +2
This paper presents for the first time a real-time closed loop neuromorphic decoder chip-driven intra-cortical brain machine interface (iBMI) in a non-human primate (NHP) based exp…
ADEPOS: Anomaly Detection based Power Saving for Predictive Maintenance using Edge Computing
Sumon Kumar Bose, Bapi Kar, Mohendra Roy +2
In industry 4.0, predictive maintenance(PM) is one of the most important applications pertaining to the Internet of Things(IoT). Machine learning is used to predict the possible fa…
A Stacked Autoencoder Neural Network based Automated Feature Extraction Method for Anomaly detection in On-line Condition Monitoring
Mohendra Roy, Sumon Kumar Bose, Bapi Kar +2
Condition monitoring is one of the routine tasks in all major process industries. The mechanical parts such as a motor, gear, bearings are the major components of a process industr…
Power efficient Spiking Neural Network Classifier based on memristive crossbar network for spike sorting application
Anand Kumar Mukhopadhyay, Indrajit Chakrabarti, Arindam Basu +1
In this paper authors have presented a power efficient scheme for implementing a spike sorting module. Spike sorting is an important application in the field of neural signal acqui…