Results 11 to 20 of about 3,447,572 (320)
A Style-Based Generator Architecture for Generative Adversarial Networks [PDF]
Computer Vision and Pattern Recognition, 2019 We propose an alternative generator architecture for generative adversarial networks, borrowing from style transfer literature. The new architecture leads to an automatically learned, unsupervised separation of high-level attributes (e.g., pose and ...
Aila, Timo, Karras, Tero, Laine, Samuli
core +2 more sources
An Architecture for Experiments in Connected and Automated Vehicles
IEEE Open Journal of Intelligent Transportation Systems, 2023 Rapid prototyping of Connected and Automated Vehicles (CAV) is challenging because of the physical distribution of vehicles. Furthermore, experiments with CAV may be subject to external influences which prevent reproducibility.
Maximilian Kloock +3 more
doaj +2 more sources
IEEE Access, 2021 Surrogate modeling has become an important tool in the design of high-frequency structures. Although full-wave electromagnetic (EM) simulation tools provide an accurate account for the circuit characteristics and performance, they entail considerable ...
Nurullah Çalık +3 more
semanticscholar +1 more source
Automated Deep Learning: Neural Architecture Search Is Not the End [PDF]
Found. Trends Mach. Learn., 2021 Deep learning (DL) has proven to be a highly effective approach for developing models in diverse contexts, including visual perception, speech recognition, and machine translation. However, the end-to-end process for applying DL is not trivial.
Xuanyi Dong +3 more
semanticscholar +1 more source
Towards an Automated Learning Control Architecture for Cyber-Physical Manufacturing Systems
IEEE Access, 2022 Manufacturers are constantly looking to enhance the performance of their manufacturing systems by improving their ability to address disruptions and disturbances, while reducing cost and maximizing quantity and quality.
Ilya Kovalenko +9 more
semanticscholar +1 more source
Italian National Conference on Sensors, 2021 This paper introduces an integrated IoT architecture to handle the problem of cyber attacks based on a developed deep neural network (DNN) with a rectified linear unit in order to provide reliable and secure online monitoring for automated guided ...
M. Elsisi, M. Tran
semanticscholar +1 more source
Journal of Physics: Conference Series, 2021 Alzheimer’s disease is a type of brain disease that indicate with memory impairment as the early symptoms. These symptoms occur because the nerve in the brain involved in learning, thinking and memory as cognitive function have been damaged. Alzheimer is
Y. Fuadah +5 more
semanticscholar +1 more source
Frontiers in Artificial Intelligence, 2022 Graph structured data is ubiquitous in daily life and scientific areas and has attracted increasing attention. Graph Neural Networks (GNNs) have been proved to be effective in modeling graph structured data and many variants of GNN architectures have ...
Zhen Xu +8 more
doaj +1 more source
Workflow automation architecture standard [PDF]
, 1994 This document presents an architectural standard for application of workflow automation technology. The standard includes a functional architecture, process for developing an automated workflow system for a work group, functional and collateral specifications for workflow automation, and results of a proof of concept prototype.
Moshofsky, R. P., Rohen, W. T.
openaire +2 more sources
Real-time data analysis for medical diagnosis using FPGA-accelerated neural networks
BMC Bioinformatics, 2018 Background Real-time analysis of patient data during medical procedures can provide vital diagnostic feedback that significantly improves chances of success. With sensors becoming increasingly fast, frameworks such as Deep Neural Networks are required to
Ahmed Sanaullah +4 more
doaj +1 more source