A systematic literature review on hardware reliability assessment methods for deep neural networks

MH Ahmadilivani, M Taheri, J Raik… - ACM Computing …, 2024 - dl.acm.org
Artificial Intelligence (AI) and, in particular, Machine Learning (ML), have emerged to be
utilized in various applications due to their capability to learn how to solve complex …

Deep learning based image classification for embedded devices: A systematic review

LFR Moreira, R Moreira, BAN Travençolo, AR Backes - Neurocomputing, 2025 - Elsevier
Deep learning models are widely employed to solve complex problems in different areas,
particularly for image classification, because of their high performance in pattern recognition …

Resilience of Deep Learning applications: a systematic survey of analysis and hardening techniques

C Bolchini, L Cassano, A Miele - arXiv preprint arXiv:2309.16733, 2023 - arxiv.org
Machine Learning (ML) is currently being exploited in numerous applications being one of
the most effective Artificial Intelligence (AI) technologies, used in diverse fields, such as …

Systematic reliability evaluation of FPGA implemented CNN accelerators

Z Gao, S Gao, Y Yao, Q Liu, S Zeng… - … on Device and …, 2023 - ieeexplore.ieee.org
Convolutional neural networks (CNN) have become essential for many scientific and
industrial applications, such as image classification and pattern detection. Among the …

Assessing the reliability of FPGA-Based Quantised Neural Networks under Neutron Irradiation

I Souvatzoglou, D Agiakatsikas… - … on Nuclear Science, 2024 - ieeexplore.ieee.org
SRAM field-programmable gate arrays (FPGAs) are popular computing platforms for
implementing neural networks (NNs) due to their flexibility and low recurring engineering …

Detect and Replace: Efficient Soft Error Protection of FPGA-Based CNN Accelerators

Z Gao, Y Qi, J Shi, Q Liu, G Ge, Y Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Convolutional neural networks (CNNs) are widely used in computer vision and natural
language processing. Field-programmable gate arrays (FPGAs) are a popular accelerator …

Assessing the Reliability of Different Split Computing Neural Network Applications

G Esposito, JD Guerrero-Balaguera… - 2024 IEEE 25th Latin …, 2024 - ieeexplore.ieee.org
1 Neural Networks (NNs) are increasingly adopted in many domains. Given their
considerable computational expenses required only during inference, it has been proposed …

The Rapid and Accurate Detection of Kidney Bean Seeds Based on a Compressed Yolov3 Model

Y Wang, H Bai, L Sun, Y Tang, Y Huo, R Min - Agriculture, 2022 - mdpi.com
Due to their rich nutritional value, kidney beans are considered one of the major products of
international agricultural trade. The conventional method used for the manual detection of …

Tradeoff Between Performance and Reliability in FPGA Accelerated DNNs for Space Applications

I Souvatzoglou, D Agiakatsikas, A Sari… - 2023 European Data …, 2023 - ieeexplore.ieee.org
The space industry is interested in using Commercial-off-the-self (COTS) SRAM Field
Programmable Gate Arrays (FPGAs) for Deep Neural Networks (DNN) inference …