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Brain–computer interface for amyotrophic lateral sclerosis patients using deep learning network
Abstract Individuals with Motor Neuron Disease were unable to move from one place to
another because it gradually reduced all the voluntarily movement due to the degeneration …
another because it gradually reduced all the voluntarily movement due to the degeneration …
DGCNN on FPGA: Acceleration of the point cloud classifier using FPGAS
Over the last few years, deep learning on irregular 3D data given its wide range of
applications has become one of the active topics in the field. While field programmable gate …
applications has become one of the active topics in the field. While field programmable gate …
[HTML][HTML] An Arrhythmia Classification Model Based on a CNN-LSTM-SE Algorithm
A Sun, W Hong, J Li, J Mao - Sensors, 2024 - mdpi.com
Arrhythmia is the main cause of sudden cardiac death, and ECG signal analysis is a
common method for the noninvasive diagnosis of arrhythmia. In this paper, we propose an …
common method for the noninvasive diagnosis of arrhythmia. In this paper, we propose an …
Research on OpenCL optimization for FPGA deep learning application
S Zhang, Y Wu, C Men, H He, K Liang - Plos one, 2019 - journals.plos.org
In recent years, with the development of computer science, deep learning is held as
competent enough to solve the problem of inference and learning in high dimensional …
competent enough to solve the problem of inference and learning in high dimensional …
FPGA implementation of HOOFR bucketing extractor-based real-time embedded SLAM applications
DD Nguyen, A El Ouardi, S Rodriguez… - Journal of Real-Time …, 2021 - Springer
Feature extraction is an important vision task in many applications like simultaneous
localization and map** (SLAM). In the recent computing systems, FPGA-based …
localization and map** (SLAM). In the recent computing systems, FPGA-based …
FPGA based ANN classifier for Bengali Handwritten Digit Recognition
SMR Hossain, K Zinnurine, NU Sadad… - … on Computer and …, 2023 - ieeexplore.ieee.org
In order to accurately and quickly recognize Bengali handwritten digits and characters, this
paper suggests an FPGA-based hardware accelerator design of ANN for handwritten …
paper suggests an FPGA-based hardware accelerator design of ANN for handwritten …
UML-Based Design Flow for Systems with Neural Networks
D Suárez, H Posadas… - 2023 38th Conference on …, 2023 - ieeexplore.ieee.org
Artificial intelligence has demonstrated its ability to solve lots of critical tasks, but at the cost
of high computational requirements. Different hardware has been proposed to provide this …
of high computational requirements. Different hardware has been proposed to provide this …
[PDF][PDF] FPGA based ANN classifier for Bengali Handwritten Character and Digit Recognition
K Zinnurine, SMR Hossain, MNI Mondal - System - researchgate.net
As artificial intelligence (AI) strives to imitate the human brain from the very beginning,
detecting or recognizing anything is a key task in the field of Al. As an illustration, consider …
detecting or recognizing anything is a key task in the field of Al. As an illustration, consider …
UML-based design flow for systems with neural networks
DN Suárez Plata, H Posadas Cobo… - 2023 - repositorio.unican.es
Artificial intelligence has demonstrated its ability to solve lots of critical tasks, but at the cost
of high computational requirements. Different hardware has been proposed to provide this …
of high computational requirements. Different hardware has been proposed to provide this …
[PDF][PDF] Estimating Configuration Parameters of Pipelines for Accelerating N-Body Simulations with an FPGA using High-level Synthesis.
T Narumi, A Muramatsu - PECCS, 2019 - scitepress.org
In the era of the IoT (Internet of Things) and Edge computing, SoC (System on Chip) with an
FPGA (Field Programmable Gate Array) is a suitable solution for embedded systems …
FPGA (Field Programmable Gate Array) is a suitable solution for embedded systems …