Results 51 to 60 of about 3,514 (178)
Experimental Physiology, EarlyView.Abstract The aim of this systematic review and meta‐analysis was to evaluate comprehensively the therapeutic potential of Abelmoschus esculentus (okra) supplementation across the diabetes spectrum of key metabolic risk factors. A search was conducted in PubMed, Scopus, Web of Science, EMBASE and the Cochrane Library, up to 23 July 2025, to identify ...
Ali Jafari +7 more
wiley +1 more source
A Soft Sensor Approach Based on an Echo State Network Optimized by Improved Genetic Algorithm
Sensors, 2020 In the process of fault diagnosis and the health and safety operation evaluation of modern industrial processes, it is crucial to measure important state variables, which cannot be directly detected due to limitations of economy, technology, environment ...
Ruoyu Huang, Zetao Li, Bin Cao
doaj +1 more source
Predictive anomaly detection for marine diesel engine based on echo state network and autoencoder
Energy Reports, 2022 Marine diesel engine with high thermal efficiency and good economy has become the main power of ships. Anomaly detection is an important method to improve the operation reliability of marine diesel engine.
Chong Qu +3 more
doaj +1 more source
Randomness and isometries in echo state networks and compressed sensing
, 2018 Although largely different concepts, echo state networks and compressed sensing models both rely on collections of random weights; as the reservoir dynamics for echo state networks, and the sensing coefficients in compressed sensing.
Prater-Bennette, Ashley
core +1 more source
WIREs Energy and Environment, Volume 15, Issue 2, June 2026.Artificial Intelligence and Machine Learning Approaches used in Building Energy Analysis, Control, and Provision of Grid Support Services. ABSTRACT Increasing penetrations of variable renewable energy sources like wind and solar photovoltaic (PV) systems are challenging power system stability worldwide.
Jack S. Bryant +11 more
wiley +1 more source
Design of a reservoir for cloud-enabled echo state network with high clustering coefficient
EURASIP Journal on Wireless Communications and Networking, 2020 Reservoir computing (RC) is considered as a suitable alternative for descending gradient methods in recursive neural networks (RNNs) training. The echo state network (ESN) is a platform for RC and nonlinear system simulation in the cloud environment with
Abbas Akrami +2 more
doaj +1 more source
Mathematics, 2023 This paper investigates the observer-based adaptive stabilization control problem for a class of time-delay nonlinear systems with unknown control gain using an echo state network (ESN).
Shuxian Lun +3 more
doaj +1 more source
Echo State Queueing Network: a new reservoir computing learning tool
, 2012 In the last decade, a new computational paradigm was introduced in the field of Machine Learning, under the name of Reservoir Computing (RC). RC models are neural networks which a recurrent part (the reservoir) that does not participate in the learning ...
Basterrech, Sebastián, Rubino, Gerardo
core +3 more sources
Echo State Networks with Self-Normalizing Activations on the Hyper-Sphere [PDF]
, 2019 Among the various architectures of Recurrent Neural Networks, Echo State Networks (ESNs) emerged due to their simplified and inexpensive training procedure.
Alippi, Cesare +2 more
core +2 more sources
Liquid Metal Sensors for Soft Robots
Advanced Robotics Research, Volume 2, Issue 2, April 2026.This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang +7 more
wiley +1 more source