Results 61 to 70 of about 3,514 (178)

Enhancing PM2.5 Air Pollution Prediction Performance by Optimizing the Echo State Network (ESN) Deep Learning Model Using New Metaheuristic Algorithms

Urban Science
Air pollution presents significant risks to both human health and the environment. This study uses air pollution and meteorological data to develop an effective deep learning model for hourly PM2.5 concentration predictions in Tehran, Iran. This study evaluates efficient metaheuristic algorithms for optimizing deep learning model hyperparameters to ...
Iman Zandi, Ali Jafari, Aynaz Lotfata
openaire   +2 more sources

Hierarchical Temporal Representation in Linear Reservoir Computing

, 2017
Recently, studies on deep Reservoir Computing (RC) highlighted the role of layering in deep recurrent neural networks (RNNs). In this paper, the use of linear recurrent units allows us to bring more evidence on the intrinsic hierarchical temporal ...
Claudio Gallicchio, Claudio Gallicchio, D Koryakin, D Verstraeten, G Holzmann, H Jaeger, H Jaeger, J Schmidhuber, J Schmidhuber, M Lukoševičius, M Čerňanskỳ, S Otte, Y Xue   +12 more
core   +1 more source

Spatio-temporal learning with the online finite and infinite echo-state Gaussian processes [PDF]

, 2014
Successful biological systems adapt to change. In this paper, we are principally concerned with adaptive systems that operate in environments where data arrives sequentially and is multivariate in nature, for example, sensory streams in robotic systems ...
Demiris, Y, Soh, H
core   +1 more source

Physical Reservoir Computing for Smart Manufacturing of PCB Using Crystallinity‐Controlled HfO2 Memristor for Reservoir

Advanced Intelligent Systems, Volume 8, Issue 4, April 2026.
We address multilayer PCB anomaly detection for smart manufacturing by physical reservoir computing with HfO2‐based memristors. Crystallinity‐tuned HfO2 suppresses ferroelectricity while preserving the high‐k insulating state and confers strong short‐term memory.
Yongho Lee, Wonhee Lee, Junho Shin, Noah Jang, Hyunjun Kim, Da Ye Kim, Jinkyung Kim, June Soo Kim   +7 more
wiley   +1 more source

Locally-Stable Macromodels of Integrated Digital Devices for Multimedia Applications [PDF]

, 2008
This paper addresses the development of accurate and efficient behavioral models of digital integrated circuits for the assessment of high-speed systems.
Canavero, Flavio, Maio, Ivano Adolfo, Siviero, Claudio, Stievano, Igor Simone   +3 more
core   +1 more source

Slip‐Adaptive Neural Control of Gecko‐Inspired Adhesive Robots

Advanced Intelligent Systems, Volume 8, Issue 4, April 2026.
This study introduces a neural adhesion controller to improve the stability of gecko‐inspired climbing robots. By integrating an echo state network and a multilayer perceptron, the system utilizes joint torque feedback to accurately estimate adhesion in both normal and shear directions and predict slips. This enables effective recovery from slip events,
Donghao Shao, Jian Chen, Guangyuan Zang, Yang Li   +3 more
wiley   +1 more source

Electronic and Structural Determinants of Activity and Stability in Noble Metal OER Catalysis

ChemCatChem, Volume 18, Issue 7, 14 April 2026.
Activity and stability in noble metal oxygen evolution reaction (OER) catalysts arise from coupled electronic and structural effects at the catalyst surface. Electronic engineering, crystallographic control, lattice modulation, and surface engineering tune the d‐band structure, oxidation state, strain, and coordination environment of noble metal based ...
Gordon A. Ochsner, Ryusuke Mizuochi, Lianzhou Wang, Zhiliang Wang   +3 more
wiley   +1 more source

Echo State Learning for Wireless Virtual Reality Resource Allocation in UAV-enabled LTE-U Networks

, 2017
In this paper, the problem of resource management is studied for a network of wireless virtual reality (VR) users communicating using an unmanned aerial vehicle (UAV)-enabled LTE-U network.
Chen, Mingzhe, Saad, Walid, Yin, Changchuan   +2 more
core   +1 more source

Extending Specimens to Save Plant DNA: Structuring Department DNA Collections in Times of Biodiversity Loss

Ecology and Evolution, Volume 16, Issue 4, April 2026.
Small department DNA collections can be created through a six‐step holistic process that integrates DNA extracts, DNA‐rich tissues, and herbarium vouchers to generate extended specimens. We propose a revision to the international biobanking strategy (the Dynamo scheme) that leverages the strengths of interconnected small departmental collections.
Claudia González‐Toral, Eduardo Cires
wiley   +1 more source

An echo state network based on enhanced intersecting cortical model for discrete chaotic system prediction

Frontiers in Physics
IntroductionThe prediction of chaotic time series is a persistent problem in various scientific domains due to system characteristics such as sensitivity to initial conditions and nonlinear dynamics.
Xubin Wang, Pei Ma, Jing Lian, Jizhao Liu, Yide Ma   +4 more
doaj   +1 more source