Results 191 to 200 of about 17,231 (264)

Seizure forecasting with epilepsy cycles: On the causality of forecasting pipelines

Epilepsia, EarlyView.
Abstract Objective Seizure risk is modulated by multiscale brain rhythms. Previous studies using cycles in electroencephalography, heart rate, and wearable data suggest the possibility of forecasting seizures days in advance. However, they commonly rely on methods requiring (days of) information from time points beyond the moment of forecast (noncausal
Hongliu Yang, Jens Müller, Sotirios Kalousios, Georg Leonhardt, Matthias Dümpelmann, Andreas Schulze‐Bonhage, Ronald Tetzlaff   +6 more
wiley   +1 more source

NF-MORL: a neuro-fuzzy multi-objective reinforcement learning framework for task scheduling in fog computing environments. [PDF]

Sci Rep
Yu X, Tang L, Mi J, Long L, Qin X, Li X, Mo Q.   +6 more
europepmc   +1 more source

Deep characterization of refractory epilepsy due to mild malformation of cortical development with oligodendroglial hyperplasia (MOGHE) and insights into the role of invasive monitoring

Epilepsia, EarlyView.
Abstract Objective Epilepsy surgery is an effective treatment option for patients with medically refractory epilepsy due to mild malformation of cortical development with oligodendroglial hyperplasia (MOGHE). The success of surgery depends on the accurate localization of the epileptogenic zone, which can be challenging due to the subtle imaging ...
Jean Khoury, Ingmar Blümcke, Robyn M. Busch, Balu Krishnan, Juan Bulacio, William Bingaman, Demitre Serletis, Imad Najm   +7 more
wiley   +1 more source

A novel multi objective grey wolf optimization fuzzy miner for process discovery: Incorporating robustness and explainability in model evaluation. [PDF]

PLoS One
Salehi M, Khayami R, Mirmozaffari M.
europepmc   +1 more source

Probabilistic Multi‐Objective Energy Management System Model for an Energy Hub With PtG Technology for Cost Reduction and System Flexibility Improvement

Energy Science &Engineering, EarlyView.
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi, Mehrdad Ahmadi Kamarposhti, Mohsen Sedighi, Alireza Ghafouri   +3 more
wiley   +1 more source

Intelligent Counter-UAV Threat Detection Using Hierarchical Fuzzy Decision-Making and Sensor Fusion. [PDF]

Sensors (Basel)
Arapoglou F, Zacharia P, Papoutsidakis M.   +2 more
europepmc   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Fuzzy-Adaptive ESO Control for Dual Active Bridge Converters. [PDF]

Sensors (Basel)
Seo JH, Choi SJ.
europepmc   +1 more source

Investigation of the Dynamic Evolution Mechanism of Bed Separation in Karst Aquifers and Risk Assessment of Water Inrush

Energy Science &Engineering, EarlyView.
This study reveals the temporal and spatial evolution law of roof separation under the karst aquifer and the dynamic water inrush mechanism of roof separation. The FAHP–EWM–CRITIC combination weighting method was established to obtain the risk zoning of bed separation water inrush in a karst landform mining area. ABSTRACT Coalfields in northern Guizhou
Xilong Zhu, Lulin Zheng, Bo Li, Weide Ren, Xiong Liu, Ximin Zhou   +5 more
wiley   +1 more source

Entropy Method for Decision Making with Uncertainty. [PDF]

Entropy (Basel)
Przybyła-Kasperek M.
europepmc   +1 more source