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Twisha Titirsha
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2020 – today
- 2024
- [j5]Md Maruf Hossain Shuvo, Twisha Titirsha, Guido Lastra Gonzalez, Syed Kamrul Islam:
Enhancing Personalized Blood Glucose Prediction: Deep Learning Insights From Ablation Study on Wearable Sensor Data. IEEE Access 12: 155259-155273 (2024) - [j4]Salvatore A. Pullano
, Giuseppe Oliva
Design of an Electronic Interface for Single-Photon Avalanche Diodes. Sensors 24(17): 5568 (2024) - [c10]Md Maruf Hossain Shuvo, Twisha Titirsha, Giuseppe Oliva, Salvatore A. Pullano, Syed Kamrul Islam:
Long-Term Predictive Analytics of Continuous Glucose Sensing for Enhanced Glycemic Control. ISVLSI 2024: 451-456 - [c9]Twisha Titirsha, Md Maruf Hossain Shuvo, Syed Kamrul Islam:
Reliability Analysis of Phase Change Memory-Based Neuromorphic Circuits. ISVLSI 2024: 745-748 - [c8]Md Maruf Hossain Shuvo, Twisha Titirsha, K. S. M. Tozammel Hossain, Guido Lastra Gonzalez, Syed Kamrul Islam:
Enhancing Personalization and Mitigating Inter-Patient Variability in Continuous Blood Glucose Prediction Using Multi-Task Deep LSTMs. MeMeA 2024: 1-6 - 2023
- [j3]Ankita Paul
On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware. IEEE Des. Test 40(2): 100-108 (2023) - [j2]Omiya Hassan
An Optimized Hardware Inference of SABiNN: Shift-Accumulate Binarized Neural Network for Sleep Apnea Detection. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [c7]Md Maruf Hossain Shuvo, Twisha Titirsha, Syed Kamrul Islam:
Unraveling the Potential of Heart Rate Variability for Type 1 Diabetes Prediction. BATS 2023: 57-61 - 2022
- [j1]Twisha Titirsha, Shihao Song, Anup Das
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware. IEEE Trans. Parallel Distributed Syst. 33(2): 288-301 (2022) - [i8]Ankita Paul, Shihao Song, Twisha Titirsha, Anup Das:
On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware. CoRR abs/2201.11527 (2022) - 2021
- [c6]Shihao Song, Twisha Titirsha, Anup Das
Improving Inference Lifetime of Neuromorphic Systems via Intelligent Synapse Mapping. ASAP 2021: 17-24 - [c5]Twisha Titirsha, Shihao Song, Adarsha Balaji, Anup Das
On the role of system software in energy management of neuromorphic computing. CF 2021: 124-132 - [c4]Adarsha Balaji, Shihao Song, Twisha Titirsha, Anup Das
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks. ICONS 2021: 10:1-10:9 - [c3]Shamik Kundu, Kanad Basu, Mehdi Sadi
Special Session: Reliability Analysis for AI/ML Hardware. VTS 2021: 1-10 - [i7]Twisha Titirsha, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor:
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware. CoRR abs/2103.05707 (2021) - [i6]Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin:
Special Session: Reliability Analysis for ML/AI Hardware. CoRR abs/2103.12166 (2021) - [i5]Twisha Titirsha, Shihao Song, Adarsha Balaji, Anup Das:
On the Role of System Software in Energy Management of Neuromorphic Computing. CoRR abs/2103.12231 (2021) - [i4]Adarsha Balaji, Shihao Song, Twisha Titirsha, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor:
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks. CoRR abs/2105.01795 (2021) - [i3]Shihao Song, Twisha Titirsha, Anup Das:
Improving Inference Lifetime of Neuromorphic Systems via Intelligent Synapse Mapping. CoRR abs/2106.09104 (2021) - 2020
- [c2]Twisha Titirsha, Anup Das
Reliability-Performance Trade-offs in Neuromorphic Computing. IGSC (Workshops) 2020: 1-5 - [c1]Twisha Titirsha
Thermal-Aware Compilation of Spiking Neural Networks to Neuromorphic Hardware. LCPC 2020: 134-150 - [i2]Twisha Titirsha, Anup Das:
Reliability-Performance Trade-offs in Neuromorphic Computing. CoRR abs/2009.12672 (2020) - [i1]Twisha Titirsha, Anup Das:
Thermal-Aware Compilation of Spiking Neural Networks to Neuromorphic Hardware. CoRR abs/2010.04773 (2020)
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last updated on 2024-11-08 21:29 CET by the dblp team
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