Results 41 to 50 of about 193,534 (289)

A Low-Power Hardware Architecture for Real-Time CNN Computing

open access: yesSensors, 2023
Convolutional neural network (CNN) is widely deployed on edge devices, performing tasks such as objective detection, image recognition and acoustic recognition.
Xinyu Liu, Chenhong Cao, Shengyu Duan
doaj   +1 more source

2D hardware acceleration [PDF]

open access: yes, 2018
The objective of the project is to develop an IP-core that provides hardware acceleration for common 2D rendering operations in an embedded system. The requirements for graphical user interfaces (GUI) on modern display and touchscreen based systems are
Bodenmann, Joel, Corthay, François
core  

High-level synthesis for medical image processing on Systems on Chip : a case study [PDF]

open access: yes, 2016
Adaptive radiotherapy is a technique intended to increase the accuracy of radiotherapy. Currently, it is not clinically feasible due to the time required to process the images of patient anatomy.
Crockett, Louise H   +3 more
core   +1 more source

Hardware Acceleration

open access: yes, 2023
AbstractWith Moore’s law and Dennard’s scaling no longer fueling the improvement in computing performance, new avenues for increasing performance are needed. Hardware acceleration is one avenue where many researchers and industrial parties are working and investing.
openaire   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

open access: yesFEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill   +4 more
wiley   +1 more source

CNN Acceleration With Hardware-Efficient Dataflow for Super-Resolution

open access: yesIEEE Access, 2020
The convolutional neural network (CNN)-based super-resolution (SR) has shown outstanding performance in the field of computer vision. The implementation of inference hardware for CNN-based SR has suffered from the intensive computation with severely ...
Sumin Lee   +3 more
doaj   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

open access: yesArthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos   +2 more
wiley   +1 more source

Inheritance and Innovation Development of Sports Based on Deep Learning and Artificial Intelligence

open access: yesIEEE Access, 2023
This work aims to speed up the intelligent construction of Sports and Leisure Characteristic Towns (SLCT) in the new era. AI and robot technologies have become the pillar of scientific research.
Rui Zhou, Fan Wu
doaj   +1 more source

Self-Partial and Dynamic Reconfiguration Implementation for AES using FPGA [PDF]

open access: yes, 2009
This paper addresses efficient hardware/software implementation approaches for the AES (Advanced Encryption Standard) algorithm and describes the design and performance testing algorithm for embedded system.
Alaoui Ismaili, Zine El Abidine   +1 more
core   +1 more source

Constructing cluster of simple FPGA boards for cryptologic computations [PDF]

open access: yes, 2012
In this paper, we propose an FPGA cluster infrastructure, which can be utilized in implementing cryptanalytic attacks and accelerating cryptographic operations.
Doroz, Yarkin   +3 more
core   +1 more source

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