These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

179 related articles for article (PubMed ID: 35452392)

  • 1. Fully Parallel Stochastic Computing Hardware Implementation of Convolutional Neural Networks for Edge Computing Applications.
    Frasser CF; Linares-Serrano P; de Rios IDL; Moran A; Skibinsky-Gitlin ES; Font-Rossello J; Canals V; Roca M; Serrano-Gotarredona T; Rossello JL
    IEEE Trans Neural Netw Learn Syst; 2023 Dec; 34(12):10408-10418. PubMed ID: 35452392
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Stochastic Computing Convolutional Neural Network Architecture Reinvented for Highly Efficient Artificial Intelligence Workload on Field-Programmable Gate Array.
    Lee YY; Halim ZA; Wahab MNA; Almohamad TA
    Research (Wash D C); 2024; 7():0307. PubMed ID: 38439995
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Stochastic computing in convolutional neural network implementation: a review.
    Lee YY; Abdul Halim Z
    PeerJ Comput Sci; 2020; 6():e309. PubMed ID: 33816960
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Hardware-Efficient Stochastic Binary CNN Architectures for Near-Sensor Computing.
    Parmar V; Penkovsky B; Querlioz D; Suri M
    Front Neurosci; 2021; 15():781786. PubMed ID: 35069101
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Quantized Convolutional Neural Network Implementation on a Parallel-Connected Memristor Crossbar Array for Edge AI Platforms.
    Lee J; Eshraghian JK; Kim S; Eshraghian K; Cho K
    J Nanosci Nanotechnol; 2021 Mar; 21(3):1854-1861. PubMed ID: 33404459
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bitstream-Based Neural Network for Scalable, Efficient, and Accurate Deep Learning Hardware.
    Sim H; Lee J
    Front Neurosci; 2020; 14():543472. PubMed ID: 33424530
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Cost-effective stochastic MAC circuits for deep neural networks.
    Sim H; Lee J
    Neural Netw; 2019 Sep; 117():152-162. PubMed ID: 31170575
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Hardware Implementations of a Deep Learning Approach to Optimal Configuration of Reconfigurable Intelligence Surfaces.
    Martín-Martín A; Padial-Allué R; Castillo E; Parrilla L; Parellada-Serrano I; Morán A; García A
    Sensors (Basel); 2024 Jan; 24(3):. PubMed ID: 38339618
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Hybrid Stacked CNN and Residual Feedback GMDH-LSTM Deep Learning Model for Stroke Prediction Applied on Mobile AI Smart Hospital Platform.
    Elbagoury BM; Vladareanu L; Vlădăreanu V; Salem AB; Travediu AM; Roushdy MI
    Sensors (Basel); 2023 Mar; 23(7):. PubMed ID: 37050561
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Learning automata based energy-efficient AI hardware design for IoT applications.
    Wheeldon A; Shafik R; Rahman T; Lei J; Yakovlev A; Granmo OC
    Philos Trans A Math Phys Eng Sci; 2020 Oct; 378(2182):20190593. PubMed ID: 32921236
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. A Survey of Stochastic Computing Neural Networks for Machine Learning Applications.
    Liu Y; Liu S; Wang Y; Lombardi F; Han J
    IEEE Trans Neural Netw Learn Syst; 2021 Jul; 32(7):2809-2824. PubMed ID: 32755867
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Novel Automate Python Edge-to-Edge: From Automated Generation on Cloud to User Application Deployment on Edge of Deep Neural Networks for Low Power IoT Systems FPGA-Based Acceleration.
    Belabed T; Ramos Gomes da Silva V; Quenon A; Valderamma C; Souani C
    Sensors (Basel); 2021 Sep; 21(18):. PubMed ID: 34577258
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. 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]  

  • 17. Design of Network-on-Chip-Based Restricted Coulomb Energy Neural Network Accelerator on FPGA Device.
    Kang S; Lee S; Jung Y
    Sensors (Basel); 2024 Mar; 24(6):. PubMed ID: 38544154
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Stochastic Computing Emulation of Memristor Cellular Nonlinear Networks.
    Camps O; Al Chawa MM; Stavrinides SG; Picos R
    Micromachines (Basel); 2021 Dec; 13(1):. PubMed ID: 35056232
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Pattern Classification Using Quantized Neural Networks for FPGA-Based Low-Power IoT Devices.
    Biswal MR; Delwar TS; Siddique A; Behera P; Choi Y; Ryu JY
    Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433289
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Designing Deep Learning Hardware Accelerator and Efficiency Evaluation.
    Qi Z; Chen W; Naqvi RA; Siddique K
    Comput Intell Neurosci; 2022; 2022():1291103. PubMed ID: 35875766
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.