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Semiconductor Engineering3d
Machine Intelligence on Wireless Edge Networks with RF Analog Architecture (MIT, Duke)
A new technical paper titled “Machine Intelligence on Wireless Edge Networks” was published by researchers at MIT and Duke ...
archive13d
Introduction to machine learning with Python : a guide for data scientists : Mu ller, Andreas C., author : Free Download, Borrow, and Streaming : Internet Archive
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, ...
IEEE27d
Enhancing Neural Architecture Search With Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices - IEEE Xplore
The rapid proliferation of computing domains relying on Internet of Things (IoT) devices has created a pressing need for efficient and accurate deep-learning (DL) models that can run on low-power ...
Frontiers1mon
Integrating multi-source monitoring data and deep convolutional autoencoder technology for slope failure pattern recognition - Frontiers
Model architecture diagram of the deep convolutional autoencoder. The input to the model is a 9 × 24 matrix, where 9 represents the 9 monitoring channels: GNSS-A-dz, GNSS-A-dxy, GNSS-B-dz, GNSS-B-dxy, ...
IEEE1mon
Enterprise Architecture based Representation of Architecture and Design Patterns for Machine Learning Systems
In this study, we consider projects for the development of machine learning (ML) service systems that apply ML techniques to enterprise functions, and propose a method of representing the architecture ...