Hands-on reservoir computing: a tutorial for practical implementation
This manuscript serves a specific purpose: to give readers from fields such as material
science, chemistry, or electronics an overview of implementing a reservoir computing (RC) …
science, chemistry, or electronics an overview of implementing a reservoir computing (RC) …
Advanced control systems engineering for energy and comfort management in a building environment—A review
AI Dounis, C Caraiscos - Renewable and Sustainable Energy Reviews, 2009 - Elsevier
Given restrictions that comfort conditions in the interior of a building are satisfied, it becomes
obvious that the problem of energy conservation is a multidimensional one. Scientists from a …
obvious that the problem of energy conservation is a multidimensional one. Scientists from a …
Randomness in neural networks: an overview
Neural networks, as powerful tools for data mining and knowledge engineering, can learn
from data to build feature‐based classifiers and nonlinear predictive models. Training neural …
from data to build feature‐based classifiers and nonlinear predictive models. Training neural …
Densely connected deep neural network considering connectivity of pixels for automatic crack detection
In order to develop smart cities, the demand for assessing the condition of existing
infrastructure systems in an automated manner is burgeoning rapidly. Among all the early …
infrastructure systems in an automated manner is burgeoning rapidly. Among all the early …
[PDF][PDF] Deep learning with dense random neural networks for detecting attacks against IoT-connected home environments
In this paper, we analyze the network attacks that can be launched against IoT gateways,
identify the relevant metrics to detect them, and explain how they can be computed from …
identify the relevant metrics to detect them, and explain how they can be computed from …
[BOOK][B] Random matrix methods for machine learning
R Couillet, Z Liao - 2022 - books.google.com
This book presents a unified theory of random matrices for applications in machine learning,
offering a large-dimensional data vision that exploits concentration and universality …
offering a large-dimensional data vision that exploits concentration and universality …
[BOOK][B] Analysis and synthesis of computer systems
Analysis and Synthesis of Computer Systems presents a broad overview of methods that are
used to evaluate the performance of computer systems and networks, manufacturing …
used to evaluate the performance of computer systems and networks, manufacturing …
Intrusion detection framework for the internet of things using a dense random neural network
The Internet of Things (IoT) devices, networks, and applications have become an integral
part of modern societies. Despite their social, economic, and industrial benefits, these …
part of modern societies. Despite their social, economic, and industrial benefits, these …
The blockchain random neural network for cybersecure IoT and 5G infrastructure in smart cities
W Serrano - Journal of Network and Computer Applications, 2021 - Elsevier
Abstract 5G promises much faster Internet transmission rates at minimum latencies with
indoor and outdoor coverage in Smart Cities. 5G could potentially replace traditional Wi-Fi …
indoor and outdoor coverage in Smart Cities. 5G could potentially replace traditional Wi-Fi …
Optimizing secure SDN-enabled inter-data centre overlay networks through cognitive routing
More and more businesses are deploying their application (s) with different cloud providers
which are close to their customers in order to provide better Quality of Service (QoS) to their …
which are close to their customers in order to provide better Quality of Service (QoS) to their …