RDA ENTERPRISES

RDA Enterprises, Inc. is a full-service network integrator providing resources to design, implement and support all Information Technology needs. With over 24 years of experience, RDA consistently strives to provide our wide variety of valued clients with the expertise of our staff, leading-edge technology solutions and quality custom-made or best-of-breed brand products. Headquartered in the heart of midtown Manhattan, with satellite locations on both the east and west coasts, RDA is strategically positioned to meet the specific requirements of each of our clients, regardless of size and location. With established partnerships with manufacturers and vendors, RDA is able to offer cost-effective value-added solutions.
RDA ENTERPRISES
Industry:
Consulting CRM Enterprise Software Identity Management Information Technology Internet Security
Founded:
1986-06-26
Address:
New York, New York, United States
Country:
United States
Website Url:
http://www.rdanet.com
Total Employee:
11+
Status:
Active
Contact:
212-532-6125
Email Addresses:
[email protected]
Technology used in webpage:
SPF Amazon NameBright
Similar Organizations
Zap5 Networks
Your Complete IT Solutions Provider, MSP
Current Employees Featured
Official Site Inspections
http://www.rdanet.com
- Host name: ec2-54-243-117-197.compute-1.amazonaws.com
- IP address: 54.243.117.197
- Location: Ashburn United States
- Latitude: 39.0481
- Longitude: -77.4728
- Metro Code: 511
- Timezone: America/New_York
- Postal: 20149

More informations about "RDA Enterprises"
RadNet | Outpatient Radiology Centers (MRI, Ultrasound, 3D …
Nov 22, 2015 · We are the largest provider of freestanding, fixed-site outpatient diagnostic imaging in the country, with more than 390 centers. Our IT division, eRAD, delivers integrated, …See details»
(PDF) An Effective Dual Self-Attention Residual …
Aug 9, 2021 · For the first time, we propose a dual self-attention residual network (RDANet) that combines a spectrum attention module integrating local features with global features, with a channel attention...See details»
Papers with Code - Two-stage Progressive Residual Dense …
Jan 5, 2024 · To address the issue, we design a new Two-stage Progressive Residual Dense Attention Network (TSP-RDANet) for image denoising, which divides the whole process of …See details»
Two-stage Progressive Residual Dense Attention Network for
To address the issue, we design a new Two-stage Progressive Residual Dense Attention Network (TSP-RDANet) for image denoising, which divides the whole process of denoising into two sub …See details»
[2401.02831] Two-stage Progressive Residual Dense Attention
Jan 5, 2024 · To address the issue, we design a new Two-stage Progressive Residual Dense Attention Network (TSP-RDANet) for image denoising, which divides the whole process of …See details»
An Effective Dual Self-Attention Residual Network for Seizure ...
For the first time, we propose a dual self-attention residual network (RDANet) that combines a spectrum attention module integrating local features with global features, with a channel …See details»
Two-stage Progressive Residual Dense Attention Network for
Jan 8, 2024 · To address the issue, we design a new Two-stage Progressive Residual Dense Attention Network (TSP-RDANet) for image denoising, which divides the whole process of …See details»
RDANet: Reject Domain Attention Network For Confused Facial …
We identify anti correlated regions by correlation scores and classify them as rejected domains and the rest as supported domains. We select important rejected feature elements via RDANet …See details»
Two-stage Progressive Residual Dense Attention ... - Semantic …
Jan 5, 2024 · A new Two-stage Progressive Residual Dense Attention Network (TSP-RDANet) for image denoising, which divides the whole process of denoising into two sub-tasks to remove …See details»
WenCongWu/TSP-RDANet - GitHub
This is a PyTorch implementation for TSP-RDANet image denoising. Paper download: TSP-RDANet. 1. Dependences. 2. Citation. If you find TSP-RDANet helpful for your research, …See details»
Two-stage Progressive Residual Dense Attention Network for …
To address the issue, we design a new Two-stage Progressive Residual Dense Attention Network (TSP-RDANet) for image denoising, which divides the whole process of denoising into two sub …See details»
The structure diagram of RDANet. | Download Scientific Diagram
Seizure prediction, can greatly improve patients’ quality of life in many ways, such as preventing accidents and reducing harm that may occur during epileptic seizures. This work aims to... ......See details»
RDANet: Reject Domain Attention Network For Confused Facial …
Apr 14, 2024 · This work proposes a novel Rejected Domain Attention Network (RDANet), specifically designed to distinguish these easily confusing facial expressions, and has superior …See details»
ma-xu/RDANet: residual decoupled attention on imagenet - GitHub
Residual decoupled attention on imagenet. Contribute to ma-xu/RDANet development by creating an account on GitHub.See details»
Two-stage Progressive Residual Dense Attention Network for …
Jan 5, 2024 · To address the issue, we design a new Two-stage Progressive Residual Dense Attention Network (TSP-RDANet) for image denoising, which divides the whole process of …See details»
The overall performance of epilepsy prediction of CNN, ResNet …
Therefore, we compared four signal transformation methods in the RDANet. We first use CWT, EWT and FBSE-EWT to convert the EEG signals respectively (see Fig. 10), and then use the …See details»
TSP-RDANet/README.md at main · WenCongWu/TSP-RDANet
This is a PyTorch implementation for TSP-RDANet image denoising. Paper download: TSP-RDANet. 1. Dependences. 2. Citation. If you find TSP-RDANet helpful for your research, …See details»
RDAnet: A Deep Learning Based Approach for Synthetic ... - arXiv.org
To this end, as part of this work, we present RDAnet, a neural network trained to focus SAR images from raw radar data.See details»
RDAnet: A Deep Learning Based Approach for Synthetic Aperture …
Jan 22, 2020 · Results show that our neural network, RDAnet, can form SAR images comparable to images formed using a traditional algorithm. This approach opens the possibility to end-to …See details»
RDAnet: A Deep Learning Based Approach for Synthetic Aperture …
Jan 22, 2020 · In this work, we train a deep neural network that performs both the image formation and image processing tasks, integrating the SAR processing pipeline. Results show …See details»