4.6 Article

Reconfigurable Hardware Design Approach for Economic Neural Network

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Hardware & Architecture

Designing Novel AAD Pooling in Hardware for a Convolutional Neural Network Accelerator

Kasem Khalil et al.

Summary: This study proposes a novel pooling method called absolute average deviation (AAD) and implements it in a hardware accelerator for IoT CNN. The results show that AAD achieves higher accuracy, lower area, and lower power consumption compared to mixed pooling, making it an ideal pooling mechanism for IoT CNN accelerator.

IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS (2022)

Article Computer Science, Information Systems

A New Convolutional Neural Network Architecture for Automatic Detection of Brain Tumors in Magnetic Resonance Imaging Images

Ahmed S. Musallam et al.

Summary: In this paper, a new Deep Convolutional Neural Network (DCNN) architecture is proposed, along with a three-step preprocessing method to enhance the quality of MRI images. The architecture achieved outstanding competitive accuracy when tested on a dataset with 3394 MRI images.

IEEE ACCESS (2022)

Proceedings Paper Computer Science, Artificial Intelligence

DNN-Life: An Energy-Efficient Aging Mitigation Framework for Improving the Lifetime of On-Chip Weight Memories in Deep Neural Network Hardware Architectures

Muhammad Abdullah Hanif et al.

Summary: This paper investigates the aging issues in on-chip weight memories under complex DNN workloads, proposing a specialized framework, DNN-Life, to improve the lifetime of such memories by balancing their aging through hardware- and software-level knowledge.

PROCEEDINGS OF THE 2021 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE 2021) (2021)

Proceedings Paper Automation & Control Systems

Network-on-Interposer Design for Agile Neural-Network Processor Chip Customization

Mengdi Wang et al.

Summary: The reusable Network on Interposer design proposed in this study enables adaptive communication patterns for various AI chip specifications, leading to significant reductions in data communication latency and area overhead.

2021 58TH ACM/IEEE DESIGN AUTOMATION CONFERENCE (DAC) (2021)

Article Computer Science, Interdisciplinary Applications

Prediction of building damage induced by tunnelling through an optimized artificial neural network

S. Moosazadeh et al.

ENGINEERING WITH COMPUTERS (2019)

Proceedings Paper Engineering, Electrical & Electronic

A Novel Reconfigurable Hardware Architecture of Neural Network

Kasem Khalil et al.

2019 IEEE 62ND INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS) (2019)

Article Multidisciplinary Sciences

All-optical machine learning using diffractive deep neural networks

Xing Lin et al.

SCIENCE (2018)

Review Multidisciplinary Sciences

State-of-the-art in artificial neural network applications: A survey

Oludare Isaac Abiodun et al.

HELIYON (2018)

Article Computer Science, Artificial Intelligence

Tool-wear prediction and pattern-recognition using artificial neural network and DNA-based computing

Doriana M. D'Addona et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2017)