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Journal Articles
- 2024
[j3]Sumit Diware
, Koteswararao Chilakala, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi:
Reliable and Energy-Efficient Diabetic Retinopathy Screening Using Memristor-Based Neural Networks. IEEE Access 12: 47469-47482 (2024)- 2023
- [j2]Sumit Diware, Sudeshna Dash, Anteneh Gebregiorgis, Rajiv V. Joshi, Christos Strydis, Said Hamdioui, Rajendra Bishnoi:
Severity-Based Hierarchical ECG Classification Using Neural Networks. IEEE Trans. Biomed. Circuits Syst. 17(1): 77-91 (2023) - [j1]Sumit Diware, Abhairaj Singh, Anteneh Gebregiorgis, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi:
Accurate and Energy-Efficient Bit-Slicing for RRAM-Based Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 7(1): 164-177 (2023)
Conference and Workshop Papers
- 2024
- [c9]Sumit Diware, Mohammad Amin Yaldagard, Anteneh Gebregiorgis, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi:
Dynamic Detection and Mitigation of Read-disturb for Accurate Memristor-based Neural Networks. AICAS 2024: 393-397 - 2023
- [c8]Sumit Diware, Anteneh Gebregiorgis, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi:
Mapping-aware Biased Training for Accurate Memristor-based Neural Networks. AICAS 2023: 1-5 - [c7]Abhairaj Singh, Rajendra Bishnoi, Ali Kaichouhi, Sumit Diware, Rajiv V. Joshi, Said Hamdioui:
A 115.1 TOPS/W, 12.1 TOPS/mm2 Computation-in-Memory using Ring-Oscillator based ADC for Edge AI. AICAS 2023: 1-5 - [c6]Mohammad Amin Yaldagard, Sumit Diware, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi:
Read-disturb Detection Methodology for RRAM-based Computation-in-Memory Architecture. AICAS 2023: 1-5 - [c5]Rajendra Bishnoi, Sumit Diware, Anteneh Gebregiorgis, Simon Thomann, Sara Mannaa, Bastien Deveautour, Cédric Marchand, Alberto Bosio, Damien Deleruyelle, Ian O'Connor, Hussam Amrouch, Said Hamdioui:
Energy-efficient Computation-In-Memory Architecture using Emerging Technologies. ICM 2023: 325-334 - [c4]Hassen Aziza, Cristian Zambelli, Said Hamdioui, Sumit Diware, Rajendra Bishnoi, Anteneh Gebregiorgis:
On the Reliability of RRAM-Based Neural Networks. VLSI-SoC 2023: 1-8 - 2022
- [c3]Anteneh Gebregiorgis, Abhairaj Singh, Sumit Diware, Rajendra Bishnoi, Said Hamdioui:
Dealing with Non-Idealities in Memristor Based Computation-In-Memory Designs. VLSI-SoC 2022: 1-6 - 2021
- [c2]Sumit Diware, Anteneh Gebregiorgis, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi:
Unbalanced Bit-slicing Scheme for Accurate Memristor-based Neural Network Architecture. AICAS 2021: 1-4 - [c1]Abhairaj Singh, Sumit Diware, Anteneh Gebregiorgis, Rajendra Bishnoi, Francky Catthoor, Rajiv V. Joshi, Said Hamdioui:
Low-Power Memristor-Based Computing for Edge-AI Applications. ISCAS 2021: 1-5
Coauthor Index
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last updated on 2024-08-05 21:19 CEST by the dblp team
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