Sfoglia per Soggetto "Soft computing"
Items 1-12 di 12
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Bayesian uncertainty quantification and propagation in nonlinear structural dynamics
(2009)Nonlinear modelling and parametric identification of an experimental vehicle model, are employed in this paper. The composite structure of the vehicle model is split into a frame substructure and to four support substructures. ... -
Circular bio-economy via energy transition supported by Fuzzy Cognitive Map modeling towards sustainable low-carbon environment
(2020)Several energy transition plans attempt to establish low-carbon practices towards a circular bio-economy in order to reduce greenhouse gas emissions. However, most actions only try to assuage the impacts of climate change ... -
Estimation of ground-level O3 using soft computing techniques: case study of Amritsar, Punjab State, India
(2022)Over the years, many organizations across the globe have conducted various studies pertaining to air pollution and its ill effects. The results of these studies substantially conclude that a plethora of people succumbs to ... -
Estimation of the recharging rate of groundwater using random forest technique
(2020)Accurate knowledge of the recharging rate is essential for several groundwater-related studies and projects mainly in the water scarcity regions. In this study, a comparison between different methods of soft computing-based ... -
A fast CMS technique for computational efficient system re-analyses in structural dynamics
(2009)Sensitivity analyses, model calibration techniques, uncertainty quantification methods, reliability computations and design optimization methods require a moderate to large number of system re-analyses to be performed for ... -
A fast CMS technique for computational efficient system re-analyses in structural dynamics
(2013)Sensitivity analyses, model calibration techniques, uncertainty quantification methods, reliability computations and design optimization methods require a moderate to large number of system re-analyses to be performed for ... -
Fire resistance prediction of slim-floor asymmetric steel beams using single hidden layer ANN models that employ multiple activation functions
(2022)In this paper a mathematical model for the prediction of the fire resistance of slim-floor steel beams based on an Artificial Neural Network modeling procedure is presented. The artificial neural network models are trained ... -
Forecasting of day-ahead natural gas consumption demand in Greece using adaptive neuro-fuzzy inference system
(2020)(1) Background: Forecasting of energy consumption demand is a crucial task linked directly with the economy of every country all over the world. Accurate natural gas consumption forecasting allows policy makers to formulate ... -
Management of uncomplicated urinary tract infections using fuzzy cognitive maps
(2009)Urinary Tract Infection (UTI) is a bacterial infection that affects any part of the urinary tract. It can be classified as uncomplicated (patients with urinary tracts that are normal from both structural and functional ... -
Prediction of cutting forces during turning PA66 GF-30 glass fiber reinforced polyamide by soft computing techniques
(2013)In the present paper the influence of the main cutting parameters on process performance during longitudinal turning of PA66 GF-30 Glass Fiber Reinforced Polyamide is investigated. The selected cutting parameters are cutting ... -
Self-Supervised Soft Obstacle Detection for Safe Navigation of Visually Impaired People
(2021)the context of computer-assisted navigation of visually impaired people (VIP), time-efficient and robust obstacle detection methods are of major importance. Most commonly, obstacle detection algorithms exploit depth ... -
Soft computing approaches for urban water demand forecasting
(2016)This paper presents an integrated framework for water resources management at urban level which consists of a Neuro-Fuzzy and Fuzzy Cognitive Map-based, (FCM) decision support system (DSS) based on multiple objectives and ...