269 related articles for article (PubMed ID: 34460742)
1. Efficient Deconvolution Architecture for Heterogeneous Systems-on-Chip.
Perri S; Sestito C; Spagnolo F; Corsonello P
J Imaging; 2020 Aug; 6(9):. PubMed ID: 34460742
[TBL] [Abstract][Full Text] [Related]
2. A Heterogeneous Hardware Accelerator for Image Classification in Embedded Systems.
PĂ©rez I; Figueroa M
Sensors (Basel); 2021 Apr; 21(8):. PubMed ID: 33918668
[TBL] [Abstract][Full Text] [Related]
3. Design of Flexible Hardware Accelerators for Image Convolutions and Transposed Convolutions.
Sestito C; Spagnolo F; Perri S
J Imaging; 2021 Oct; 7(10):. PubMed ID: 34677296
[TBL] [Abstract][Full Text] [Related]
4. FTA-GAN: A Computation-Efficient Accelerator for GANs With Fast Transformation Algorithm.
Mao W; Yang P; Wang Z
IEEE Trans Neural Netw Learn Syst; 2023 Jun; 34(6):2978-2992. PubMed ID: 34534090
[TBL] [Abstract][Full Text] [Related]
5. An Efficient Hardware-Oriented Single-Pass Approach for Connected Component Analysis.
Spagnolo F; Perri S; Corsonello P
Sensors (Basel); 2019 Jul; 19(14):. PubMed ID: 31373307
[TBL] [Abstract][Full Text] [Related]
6. A Low Memory Requirement MobileNets Accelerator Based on FPGA for Auxiliary Medical Tasks.
Lin Y; Zhang Y; Yang X
Bioengineering (Basel); 2022 Dec; 10(1):. PubMed ID: 36671600
[TBL] [Abstract][Full Text] [Related]
7. Hardware Trojan Attacks on the Reconfigurable Interconnections of Field-Programmable Gate Array-Based Convolutional Neural Network Accelerators and a Physically Unclonable Function-Based Countermeasure Detection Technique.
Hou J; Liu Z; Yang Z; Yang C
Micromachines (Basel); 2024 Jan; 15(1):. PubMed ID: 38276848
[TBL] [Abstract][Full Text] [Related]
8. ETA: An Efficient Training Accelerator for DNNs Based on Hardware-Algorithm Co-Optimization.
Lu J; Ni C; Wang Z
IEEE Trans Neural Netw Learn Syst; 2023 Oct; 34(10):7660-7674. PubMed ID: 35133969
[TBL] [Abstract][Full Text] [Related]
9. Acceleration of Deep Neural Network Training Using Field Programmable Gate Arrays.
Tufa GT; Andargie FA; Bijalwan A
Comput Intell Neurosci; 2022; 2022():8387364. PubMed ID: 36299439
[TBL] [Abstract][Full Text] [Related]
10. Resources and Power Efficient FPGA Accelerators for Real-Time Image Classification.
Kyriakos A; Papatheofanous EA; Bezaitis C; Reisis D
J Imaging; 2022 Apr; 8(4):. PubMed ID: 35448240
[TBL] [Abstract][Full Text] [Related]
11. A Lightweight Detection Method for Remote Sensing Images and Its Energy-Efficient Accelerator on Edge Devices.
Yang R; Chen Z; Wang B; Guo Y; Hu L
Sensors (Basel); 2023 Jul; 23(14):. PubMed ID: 37514790
[TBL] [Abstract][Full Text] [Related]
12. Runtime Programmable and Memory Bandwidth Optimized FPGA-Based Coprocessor for Deep Convolutional Neural Network.
Shah N; Chaudhari P; Varghese K
IEEE Trans Neural Netw Learn Syst; 2018 Dec; 29(12):5922-5934. PubMed ID: 29993989
[TBL] [Abstract][Full Text] [Related]
13. DeepX: Deep Learning Accelerator for Restricted Boltzmann Machine Artificial Neural Networks.
Kim LW
IEEE Trans Neural Netw Learn Syst; 2018 May; 29(5):1441-1453. PubMed ID: 28287986
[TBL] [Abstract][Full Text] [Related]
14. Embedded Streaming Deep Neural Networks Accelerator With Applications.
Dundar A; Jin J; Martini B; Culurciello E
IEEE Trans Neural Netw Learn Syst; 2017 Jul; 28(7):1572-1583. PubMed ID: 27071200
[TBL] [Abstract][Full Text] [Related]
15. A Heterogeneous Architecture for the Vision Processing Unit with a Hybrid Deep Neural Network Accelerator.
Liu P; Yang Z; Kang L; Wang J
Micromachines (Basel); 2022 Feb; 13(2):. PubMed ID: 35208392
[TBL] [Abstract][Full Text] [Related]
16. FPGA-based neural network accelerators for millimeter-wave radio-over-fiber systems.
Lee J; He J; Wang K
Opt Express; 2020 Apr; 28(9):13384-13400. PubMed ID: 32403814
[TBL] [Abstract][Full Text] [Related]
17. Efficient FPGA Implementation of Convolutional Neural Networks and Long Short-Term Memory for Radar Emitter Signal Recognition.
Wu B; Wu X; Li P; Gao Y; Si J; Al-Dhahir N
Sensors (Basel); 2024 Jan; 24(3):. PubMed ID: 38339606
[TBL] [Abstract][Full Text] [Related]
18. An FPGA implementation of Bayesian inference with spiking neural networks.
Li H; Wan B; Fang Y; Li Q; Liu JK; An L
Front Neurosci; 2023; 17():1291051. PubMed ID: 38249589
[TBL] [Abstract][Full Text] [Related]
19. A fully-mapped and energy-efficient FPGA accelerator for dual-function AI-based analysis of ECG.
Liu W; Guo Q; Chen S; Chang S; Wang H; He J; Huang Q
Front Physiol; 2023; 14():1079503. PubMed ID: 36814476
[TBL] [Abstract][Full Text] [Related]
20. Lightweight and Energy-Efficient Deep Learning Accelerator for Real-Time Object Detection on Edge Devices.
Kim K; Jang SJ; Park J; Lee E; Lee SS
Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772225
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]