A deep fusion matching network semantic reasoning model
As the vital technology of natural language understanding, sentence representation
reasoning technology mainly focuses on sentence representation methods and reasoning …
reasoning technology mainly focuses on sentence representation methods and reasoning …
Deploying multi-tenant fpgas within linux-based cloud infrastructure
Cloud deployments now increasingly exploit Field-Programmable Gate Array (FPGA)
accelerators as part of virtual instances. While cloud FPGAs are still essentially single …
accelerators as part of virtual instances. While cloud FPGAs are still essentially single …
Towards a component-based acceleration of convolutional neural networks on FPGAs
Abstract In recent years, Convolution Neural Networks (CNN) have been extensively
adopted in broad Artificial Intelligence (AI) applications and have demonstrated ability and …
adopted in broad Artificial Intelligence (AI) applications and have demonstrated ability and …
Surreptitious adversarial examples through functioning qr code
The continuous advances in the technology of Convolutional Neural Network (CNN) and
Deep Learning have been applied to facilitate various tasks of human life. However, security …
Deep Learning have been applied to facilitate various tasks of human life. However, security …
Hierarchical parallel vision processor for high-speed ship detection
M Xu, Z Zhang, H Li, Q Luo, R Dou… - … on Circuits and …, 2022 - ieeexplore.ieee.org
Ship detection is essential in ship rescue and marine traffic safety. However, high-speed real-
time ship detection has become problematic in practical applications. In this brief, we …
time ship detection has become problematic in practical applications. In this brief, we …
A survey on FPGA-based accelerator for ML models
This paper thoroughly surveys machine learning (ML) algorithms acceleration in hardware
accelerators, focusing on Field-Programmable Gate Arrays (FPGAs). It reviews 287 out of …
accelerators, focusing on Field-Programmable Gate Arrays (FPGAs). It reviews 287 out of …
Improved multimedia object processing for the Internet of vehicles
The combination of edge computing and deep learning helps make intelligent edge devices
that can make several conditional decisions using comparatively secured and fast machine …
that can make several conditional decisions using comparatively secured and fast machine …
A runtime programmable accelerator for convolutional and multilayer perceptron neural networks on fpga
Deep neural networks (DNNs) are prevalent for many applications related to classification,
prediction and regression. To perform different applications with better performance and …
prediction and regression. To perform different applications with better performance and …
SFINet: Shuffle–and–Fusion Interaction Networks for Wind Power Forecasting
X Zhang, C **ao, T Zhang - Applied Sciences, 2022 - mdpi.com
Wind energy is one of the most important renewable energy sources in the world. Accurate
wind power prediction is of great significance for achieving reliable and economical power …
wind power prediction is of great significance for achieving reliable and economical power …
Smart Vision Sensor: Towards a High-Performance Region-Aware Reconfigurable Edge-Centric Computing Model
P Bhowmik - 2021 - search.proquest.com
The astounding development of optical sensing imaging technology, coupled with the
impressive improvements in object detection, has increased our ability to understand and …
impressive improvements in object detection, has increased our ability to understand and …