Critical Properties and Acentric Factors of Pure Compounds Modelling Based on QSPR-SVM with Dragonfly Algorithm [PDF]
Kemija u Industriji, 2021 This work aimed to model the critical pressure, temperature, volume properties, and acentric factors of 6700 pure compounds based on five relevant descriptors and two thermodynamic properties.
Mohammed Moussaoui +4 more
doaj +1 more source
Improving K-means clustering with enhanced Firefly Algorithms [PDF]
, 2019 In this research, we propose two variants of the Firefly Algorithm (FA), namely inward intensified exploration FA (IIEFA) and compound intensified exploration FA (CIEFA), for undertaking the obstinate problems of initialization sensitivity and local ...
Lim, Chee Peng +6 more
core +3 more sources
Tongxin xuebao, 2020 To solve the access selection problem of heterogeneous wireless network, an access selection algorithm based on dragonfly algorithm (DA) optimized fuzzy neural network (FNN) was proposed, considering the user’s business type and network state.In view of ...
Zhihong QIAN +3 more
doaj +2 more sources
Credibilistic Mean-Semi-Entropy Model for Multi-Period Portfolio Selection with Background Risk
Entropy, 2019 In financial markets, investors will face not only portfolio risk but also background risk. This paper proposes a credibilistic multi-objective mean-semi-entropy model with background risk for multi-period portfolio selection.
Jun Zhang, Qian Li
doaj +1 more source
Cumulative Drug Release Modelling of PCL-PVP Encapsulated Tramadol by DA-SVM, MLR, PLS, and OLS Regression Techniques [PDF]
Kemija u Industriji, 2022 This work aimed to model the kinetics of cumulative drug release from formulations based on encapsulation by biodegradable polycaprolactone and polyvinylpyrrolidone polymers.
Ahmed Chabane +4 more
doaj +1 more source
Computational aeroelasticity framework for analyzing flapping wing micro air vehicles [PDF]
, 2008 Published ...
Cesnik, CES +4 more
core +3 more sources
Tidal current prediction based on fractal theory and improved least squares support vector machine
IET Renewable Power Generation, 2022 An accurate short‐term tidal current prediction is essential to optimize the operation mode of offshore microgrids. According to the correlation characteristics of tidal current speed and direction in time series, a tidal current prediction model is ...
Anan Zhang +6 more
doaj +1 more source
Energy conversion and management, 2020 Climate change and global warming, as well as growing global demand for hydrocarbons in industrial sectors, make great incentives to investigate the utilization of CO₂ for hydrocarbons production. Therefore, finding an in-depth understanding of the CO₂ hydrogenation reactors along with simulating reactor responses to different operating conditions are ...
Najari, Sara +4 more
openaire +1 more source
Lotus effect optimization algorithm (LEA): a lotus nature-inspired algorithm for engineering design optimization [PDF]
, 2023 Here we introduce a new evolutionary algorithm called the Lotus Effect Algorithm, which combines efficient operators from the dragonfly algorithm, such as the movement of dragonflies in flower pollination for exploration, with the self-cleaning feature ...
Dalirinia, Elham +3 more
core +2 more sources
BioTIME: A database of biodiversity time series for the Anthropocene. [PDF]
, 2018 MotivationThe BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of ...
Adam, Dušan +100 more
core +1 more source