[Steven Merrifield] built his own Scalar Network Analyzer and it’s a beauty! [Steve]’s SNA has a digital pinout matching a Raspberry Pi, but any GPIO could be used to operate the device and retrieve ...
Working from home by day, gaming and streaming by night? Defeating Wi-Fi dead zones is more important than ever. A mesh network system can help, and these are the best we've tested. I’ve been working ...
One of the happiest, most successful executives we know is a woman named Deb. She works at a major technology company and runs a global business unit that has more than 7,000 employees. When you ask ...
Network models are a computer architecture, implementable in either hardware or software, meant to simulate biological populations of interconnected neurons. These models, also known as perceptrons or ...
Abstract: This paper presents the self-body-biasing effects of a vector-sum phase shifter(VSPS) in 0.13-$\mu $ m CMOS technology. The self-body-biasing network is ...
Abstract: Deep Neural Networks (DNN) have realized significant achievements across various application domains. There is no doubt that testing and enhancing a pre-trained DNN that has been deployed in ...
├── LICENSE <- Open-source license if one is chosen ├── Makefile <- Makefile with convenience commands like `make data` or `make train` ├── README.md <- The top-level README for developers using this ...
Beyond firewalls and perimeter security, a zero trust architecture allows security officials to better protect data and system access to both outsider and insider threats, adopting a mantra of “trust ...
Please place the SVHN training set and test set under ./data/ and ./RNNModels/svhn_demo/data/. DeepVec depends on NLTK data, please following the guidance to download ...
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