Results 51 to 60 of about 849,778 (293)

Dynamical patterns of EEG connectivity unveil Parkinson’s disease progression: insights from machine learning analysis

open access: yesJournal of Physics: Complexity
Parkinson’s disease (PD) is a multifactorial neurodegenerative disorder with complex progression. This study aims to analyze electroencephalography (EEG) connectivity patterns to better understand PD progression and stage of the disease using machine ...
Caroline L Alves   +5 more
doaj   +1 more source

Linking Bayesian and agent-based models to simulate complex social-ecological systems in semi-arid regions

open access: yesFrontiers in Environmental Science, 2015
Interdependencies of ecologic, hydrologic, and social systems challenge traditional approaches to natural resource management in semi-arid regions. As a complex social-ecological system, water demands in the Sonoran Desert from agricultural and urban ...
Aloah J Pope, Randy eGimblett
doaj   +1 more source

Diagnostics of an Aircraft Engine Pumping Unit Using a Hybrid Approach based-on Surrogate Modeling [PDF]

open access: yes, 2013
This document introduces a hybrid approach for fault detection and identification of an aircraft engine pumping unit. It is based on the complementarity between a model-based approach accounting for uncertainties aimed at quantifying the degradation ...
LAMOUREUX, Benjamin   +2 more
core   +5 more sources

Hybrid Models

open access: yes, 2023
AbstractHybrid models that combine aspects of the Digital OEM and the Digital Equipment Operator are more often the norm than the exception. Nevertheless, differentiating between these two roles can be very helpful for understanding many of the different concepts associated with them.
openaire   +1 more source

NKCC1: A key regulator of glioblastoma progression

open access: yesMolecular Oncology, EarlyView.
Glioblastoma (GBM) progression is driven by disrupted chloride cotransporter homeostasis. NKCC1 is highly expressed in stem‐like, astrocytic, and progenitor cells, correlating with earlier recurrence, while overall survival remains unaffected. NKCC1 serves as a prognostic marker and potential therapeutic target, linking chloride transporter imbalance ...
Anja Thomsen   +5 more
wiley   +1 more source

A Hybrid Methodology Using Machine Learning Techniques and Feature Engineering Applied to Time Series for Medium- and Long-Term Energy Market Price Forecasting

open access: yesEnergies
In the electricity market, the issue of contract negotiation prices between generators/traders and buyers is of particular relevance, as an accurate contract modeling leads to increased financial returns and business sustainability for the various ...
Flávia Pessoa Monteiro   +6 more
doaj   +1 more source

Incorporating Unmodeled Dynamics Into First-Principles Models Through Machine Learning

open access: yesIEEE Access, 2021
First-principles modeling of dynamical systems is a cornerstone of science and engineering and has enabled rapid development and improvement of key technologies such as chemical reactors, electrical circuits, and communication networks.
Ward Quaghebeur   +2 more
doaj   +1 more source

Modeling and simulation of standalone hybrid PV-wind renewable energy system base case study: Iraq [PDF]

open access: yes, 2019
Energy is very important for countries growth and economy. The global warning of using fossil fuel to generate electricity increase which plays an important role to increase the demand for renewable energy to generate electricity. Renewable energy is the
Hussein Abed, Abo Alwez Mustafa
core  

Metastasis on pause: How dormant tumor cells stay hidden within the tumor microenvironment and evade immune surveillance

open access: yesMolecular Oncology, EarlyView.
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary   +1 more
wiley   +1 more source

Enhancing Supercapacitor Simulation Accuracy Through a Novel Hybrid Modeling Approach

open access: yesApplied Sciences
In the last 2 decades, supercapacitors have become an important component in the hybrid energy-storage system, in combination with batteries. The resulting system offers higher performance in comparison to classic energy storage systems due to the ...
Diana Lemian   +2 more
doaj   +1 more source

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