Results 21 to 30 of about 1,939,164 (288)

Moving from phenomenological to predictive modelling: Progress and pitfalls of modelling brain stimulation in-silico

NeuroImage, 2023
Brain stimulation is an increasingly popular neuromodulatory tool used in both clinical and research settings; however, the effects of brain stimulation, particularly those of non-invasive stimulation, are variable.
Danielle L. Kurtin, Valentina Giunchiglia, Jakub Vohryzek, Joana Cabral, Anne C. Skeldon, Ines R. Violante   +5 more
doaj   +1 more source

Slope Entropy Characterisation: Adding Another Interval Parameter to the Original Method

Engineering Proceedings, 2023
Slope Entropy (SlpEn) is a recently proposed time series entropy estimation method for classification. This method has yielded better results than other similar methods in all the published studies so far.
Mahdy Kouka, David Cuesta-Frau
doaj   +1 more source

Solar PV parameter estimation using multi-objective optimisation [PDF]

, 2019
The estimation of the electrical model parameters of solar PV, such as light-induced current, diode dark saturation current, thermal voltage, series resistance, and shunt resistance, is indispensable to predict the actual electrical performance of solar ...
Utkarsh Jadli, Nikita Rawat, Padmanabh Thakur, Rawat, N, Thakur, P, Jadli, Utkarsh, Jadli, U, Rawat, Nikita, Thakur, Padmanabh   +8 more
core   +1 more source

Thermoeconomic analysis and optimisation of biomass fuel gas turbines [PDF]

, 2002
The ready availability of biomass in Brazil makes this type of fuel a major candidate to integrate the country's energy matrix. Although this fuel is used as a primary energy source, its use for electricity generation is still modest.
Ferreira, S. B.
core   +7 more sources

Development and Evaluation of the Ultrasonic Welding Process for Copper-Aluminium Dissimilar Welding

Journal of Manufacturing and Materials Processing, 2022
The demand for joining dissimilar metals has exponentially increased due to the global concerns about climate change, especially for electric vehicles in the automotive industry.
Rafael Gomes Nunes Silva, Sylvia De Meester, Koen Faes, Wim De Waele   +3 more
doaj   +1 more source

Critical Parameters in Particle Swarm Optimisation

CoRR, 2015
9 pages, 5 ...
J. Michael Herrmann, Adam Erskine, Thomas Joyce   +2 more
openaire   +2 more sources

Parameter Optimisation for Location Extraction and Prediction Applications [PDF]

2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015
The pervasive nature of location-aware hardware has provided an unprecedented foundation for understanding human behaviour. With a record of historic movement, in the form of geospatial trajectories, extracting locations meaningful to users is commonly performed as a basis for modelling a users’ interactions with their environment. Existing literature,
Alasdair Thomason, Nathan Griffiths, Victor Sanchez   +2 more
openaire   +1 more source

WiPP: Workflow for Improved Peak Picking for Gas Chromatography-Mass Spectrometry (GC-MS) Data

Metabolites, 2019
Lack of reliable peak detection impedes automated analysis of large-scale gas chromatography-mass spectrometry (GC-MS) metabolomics datasets. Performance and outcome of individual peak-picking algorithms can differ widely depending on both algorithmic ...
Nico Borgsmüller, Yoann Gloaguen, Tobias Opialla, Eric Blanc, Emilie Sicard, Anne-Lise Royer, Bruno Le Bizec, Stéphanie Durand, Carole Migné, Mélanie Pétéra, Estelle Pujos-Guillot, Franck Giacomoni, Yann Guitton, Dieter Beule, Jennifer Kirwan   +14 more
doaj   +1 more source

EXPERIMENTAL DESIGN OF A SYMMETRICAL ECCENTRIC VIBRATION HARVESTER FOR WALNUTS

Engenharia Agrícola
Under the cultivation mode of walnut dwarfism and dense planting, existing walnut vibration harvesting machinery has the problems of poor adaptability and low harvesting efficiency.
Jia Liu, Liling Yang, Wenqiang Ma, Mai Hemujiang Batuer, Xiaohe Shen   +4 more
doaj   +1 more source

Sensitivity of Satellite-Derived Gross Primary Productivity to Environmental and Canopy Inputs in a Subtropical Mangrove Forest

Remote Sensing
Accurate estimates of mangrove gross primary productivity (GPP) are needed to quantify coastal carbon dynamics, but the performance of satellite-based GPP models in mangrove forests remains uncertain.
Demei Zhao, Wenmeijun Wang, Junjie Wang, Kunlun Xiang, Haolin Chen, Wenhao Huang, Jianing Zhen   +6 more
doaj   +1 more source