Results 71 to 80 of about 3,514 (178)
ABSTRACT Prognostics and health management are crucial for the reliability and lifetime assessment of polymer electrolyte fuel cells (PEFCs). Here, we review the current advances on this topic, focusing mainly on key degradation mechanisms and methodologies such as physics‐aware, data‐driven, and hybrid modeling approaches.
Farideh Abdollahi +5 more
wiley +1 more source
In this paper, the problem of data correlation-aware resource management is studied for a network of wireless virtual reality (VR) users communicating over cloud-based small cell networks (SCNs).
Chen, Mingzhe +3 more
core +1 more source
Abstract Grasslands are important terrestrial ecosystems that provide feed for livestock, support soil conservation and nutrient cycling, and store soil carbon (C). In many grazed grasslands, restricted nitrogen (N) inputs from fertilizers and minimal legume presence may constrain belowground biomass accumulation and soil C storage because of limited N.
K. R. Trumpp +9 more
wiley +1 more source
Ensemble learning for brain computer-interface using uncooperative democratic echo state communities [PDF]
This paper deals with the issue of features construction and selection for signals acquired during non-invasive Brain-Computer Interface (BCI) experiments. The so-called Echo State Network (ESN) architecture, a reservoir computing approach proposed by H.
Gouy-Pailler, Cedric +3 more
core +2 more sources
Echo State Condition at the Critical Point
Recurrent networks with transfer functions that fulfill the Lipschitz continuity with K=1 may be echo state networks if certain limitations on the recurrent connectivity are applied.
Mayer, Norbert Michael
core +2 more sources
ABSTRACT Background and Aims Hearing and vision impairments are prevalent health conditions among older adults, negatively affecting functional ability, mental and social well‐being, quality of life and increasing the likelihood of transition to long‐term care.
Melinda Toomey +21 more
wiley +1 more source
Integer Echo State Networks: Hyperdimensional Reservoir Computing
We propose an approximation of Echo State Networks (ESN) that can be efficiently implemented on digital hardware based on the mathematics of hyperdimensional computing.
Frady, Edward Paxon +2 more
core
The Asymptotic Performance of Linear Echo State Neural Networks [PDF]
In this article, a study of the mean-square error (MSE) performance of linear echo-state neural networks is performed, both for training and testing tasks.
Ali, Hafiz Tiomoko +3 more
core +2 more sources
Echo State Networks for Proactive Caching in Cloud-Based Radio Access Networks with Mobile Users
In this paper, the problem of proactive caching is studied for cloud radio access networks (CRANs). In the studied model, the baseband units (BBUs) can predict the content request distribution and mobility pattern of each user, determine which content to
Chen, Mingzhe +3 more
core +3 more sources
Sequential Reservoir Computing for Log File‐Based Behavior Process Data Analyses
Abstract The use of process data in assessment has gained attention in recent years as more assessments are administered by computers. Process data, recorded in computer log files, capture the sequence of examinees' response activities, for example, timestamped keystrokes, during the assessment.
Jiawei Xiong +8 more
wiley +1 more source

