A deep fusion matching network semantic reasoning model

W Zheng, Y Zhou, S Liu, J Tian, B Yang, L Yin - Applied Sciences, 2022 - mdpi.com
As the vital technology of natural language understanding, sentence representation
reasoning technology mainly focuses on sentence representation methods and reasoning …

Deploying multi-tenant fpgas within linux-based cloud infrastructure

JM Mbongue, DT Kwadjo, A Shu**… - ACM Transactions on …, 2021 - dl.acm.org
Cloud deployments now increasingly exploit Field-Programmable Gate Array (FPGA)
accelerators as part of virtual instances. While cloud FPGAs are still essentially single …

Towards a component-based acceleration of convolutional neural networks on FPGAs

DT Kwadjo, EN Tchinda, JM Mbongue… - Journal of Parallel and …, 2022 - Elsevier
Abstract In recent years, Convolution Neural Networks (CNN) have been extensively
adopted in broad Artificial Intelligence (AI) applications and have demonstrated ability and …

Surreptitious adversarial examples through functioning qr code

A Chindaudom, P Siritanawan, K Sumongkayothin… - Journal of …, 2022 - mdpi.com
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 …

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 …

A survey on FPGA-based accelerator for ML models

F Yan, A Koch, O Sinnen - arxiv preprint arxiv:2412.15666, 2024 - arxiv.org
This paper thoroughly surveys machine learning (ML) algorithms acceleration in hardware
accelerators, focusing on Field-Programmable Gate Arrays (FPGAs). It reviews 287 out of …

Improved multimedia object processing for the Internet of vehicles

S Bhatia, RI Alsuwailam, DG Roy, A Mashat - Sensors, 2022 - mdpi.com
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 …

A runtime programmable accelerator for convolutional and multilayer perceptron neural networks on fpga

E Kabir, A Poudel, Z Aklah, M Huang… - … Symposium on Applied …, 2022 - Springer
Deep neural networks (DNNs) are prevalent for many applications related to classification,
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 …

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 …