Twisha Titirsha

Orcid: 0000-0002-2142-2283

According to our database1, Twisha Titirsha authored at least 16 papers between 2020 and 2024.

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Bibliography

2024
Design of an Electronic Interface for Single-Photon Avalanche Diodes.
Sensors, September, 2024

Enhancing Personalized Blood Glucose Prediction: Deep Learning Insights From Ablation Study on Wearable Sensor Data.
IEEE Access, 2024

Enhancing Personalization and Mitigating Inter-Patient Variability in Continuous Blood Glucose Prediction Using Multi-Task Deep LSTMs.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

Reliability Analysis of Phase Change Memory-Based Neuromorphic Circuits.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

Long-Term Predictive Analytics of Continuous Glucose Sensing for Enhanced Glycemic Control.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

2023
On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware.
IEEE Des. Test, April, 2023

An Optimized Hardware Inference of SABiNN: Shift-Accumulate Binarized Neural Network for Sleep Apnea Detection.
IEEE Trans. Instrum. Meas., 2023

Unraveling the Potential of Heart Rate Variability for Type 1 Diabetes Prediction.
Proceedings of the International Workshop on Biomedical Applications, 2023

2022
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware.
IEEE Trans. Parallel Distributed Syst., 2022

2021
Special Session: Reliability Analysis for ML/AI Hardware.
CoRR, 2021

Special Session: Reliability Analysis for AI/ML Hardware.
Proceedings of the 39th IEEE VLSI Test Symposium, 2021

NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks.
Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

On the role of system software in energy management of neuromorphic computing.
Proceedings of the CF '21: Computing Frontiers Conference, 2021

Improving Inference Lifetime of Neuromorphic Systems via Intelligent Synapse Mapping.
Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021

2020
Thermal-Aware Compilation of Spiking Neural Networks to Neuromorphic Hardware.
Proceedings of the Languages and Compilers for Parallel Computing, 2020

Reliability-Performance Trade-offs in Neuromorphic Computing.
Proceedings of the 11th International Green and Sustainable Computing Workshops, 2020


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