Mohammad Hasan Ahmadilivani

Orcid: 0000-0002-4162-6646

According to our database1, Mohammad Hasan Ahmadilivani authored at least 14 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks.
ACM Comput. Surv., June, 2024

ProAct: Progressive Training for Hybrid Clipped Activation Function to Enhance Resilience of DNNs.
CoRR, 2024


Real-Time Gait Anomaly Detection Using 1D-CNN and LSTM.
Proceedings of the Digital Health and Wireless Solutions - First Nordic Conference, 2024

Keynote: Cost-Efficient Reliability for Edge-AI Chips.
Proceedings of the 25th IEEE Latin American Test Symposium, 2024

Cost-Effective Fault Tolerance for CNNs Using Parameter Vulnerability Based Hardening and Pruning.
Proceedings of the 30th IEEE International Symposium on On-Line Testing and Robust System Design, 2024

2023
Special Session: Approximation and Fault Resiliency of DNN Accelerators.
Proceedings of the 41st IEEE VLSI Test Symposium, 2023

DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators.
Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Fully-Fusible Convolutional Neural Networks for End-to-End Fused Architecture with FPGA Implementation.
Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems, 2023

DeepVigor: VulnerabIlity Value RanGes and FactORs for DNNs' Reliability Assessment.
Proceedings of the IEEE European Test Symposium, 2023

Analysis and Improvement of Resilience for Long Short-Term Memory Neural Networks.
Proceedings of the IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2023

APPRAISER: DNN Fault Resilience Analysis Employing Approximation Errors.
Proceedings of the 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, 2023

Enhancing Fault Resilience of QNNs by Selective Neuron Splitting.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022
An Efficient Analog Convolutional Neural Network Hardware Accelerator Enabled by a Novel Memoryless Architecture for Insect-Sized Robots.
Proceedings of the 11th International Conference on Modern Circuits and Systems Technologies, 2022


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