Proposing a novel hybrid intelligent model for the simulation of particle size distribution resulting from blasting
Sign Up to like & getrecommendations! Published in 2018 at "Engineering with Computers"
DOI: 10.1007/s00366-018-0582-x
Abstract: In the open-pit mines and civil projects, drilling and blasting is the most common method for rock fragmentation aims. This article proposes a new hybrid forecasting model based on firefly algorithm, as an algorithm optimizer,… read more here.
Keywords: proposing novel; novel hybrid; model; intelligent model ... See more keywords
A tuned hybrid intelligent fruit fly optimization algorithm for fuzzy rule generation and classification
Sign Up to like & getrecommendations! Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3115-4
Abstract: Fuzzy rule-based systems (FRBSs) are well-known soft computing methods commonly used to tackle classification problems characterized by uncertainties and imprecisions. We propose a hybrid intelligent fruit fly optimization algorithm (FOA) to generate and classify fuzzy… read more here.
Keywords: algorithm; fuzzy; intelligent fruit; fuzzy rule ... See more keywords
Modeling groundwater quality by using hybrid intelligent and geostatistical methods
Sign Up to like & getrecommendations! Published in 2020 at "Environmental Science and Pollution Research"
DOI: 10.1007/s11356-020-09188-z
Abstract: Simulation of groundwater quality is important for managing water resources and mitigating water shortages, especially in arid and semiarid areas. Geostatistical models have been used for spatial prediction and interpolation of groundwater parameters. Recently, hybrid… read more here.
Keywords: groundwater; groundwater quality; geostatistical methods; modeling groundwater ... See more keywords
A hybrid intelligent classifier for anomaly detection
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.12.138
Abstract: Abstract The present research is focused on the use of intelligent techniques to perform anomaly detection. This task represents a special concern in complex systems that operate in different regimes. Then, this work proposes a… read more here.
Keywords: classifier; hybrid intelligent; anomaly detection; classifier anomaly ... See more keywords
Describing biomass pyrolysis kinetics using a generic hybrid intelligent model: A critical stage in sustainable waste-oriented biorefineries
Sign Up to like & getrecommendations! Published in 2021 at "Renewable Energy"
DOI: 10.1016/j.renene.2021.01.111
Abstract: Abstract The pyrolysis process is one of the most widely practised thermochemical pathways for converting biomass into biofuel. The most challenging aspect of the pyrolysis conversion is modelling the thermal decomposition kinetics of lignocellulosic biomass.… read more here.
Keywords: intelligent model; hybrid intelligent; generic hybrid; biomass ... See more keywords
Hybrid intelligent deep kernel incremental extreme learning machine based on differential evolution and multiple population grey wolf optimization methods
Sign Up to like & getrecommendations! Published in 2019 at "Automatika"
DOI: 10.1080/00051144.2019.1570642
Abstract: ABSTRACT Focussing on the problem that redundant nodes in the kernel incremental extreme learning machine (KI-ELM) which leads to ineffective iteration increase and reduce the learning efficiency, a novel improved hybrid intelligent deep kernel incremental… read more here.
Keywords: extreme learning; learning machine; kernel incremental; incremental extreme ... See more keywords
HISP: a hybrid intelligent approach for identifying directed signaling pathways
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Molecular Cell Biology"
DOI: 10.1093/jmcb/mjx054
Abstract: Signal transduction plays important roles in biological systems. Unfortunately, our knowledge about signaling pathways is far from complete. Specifically, the direction of signaling flows is less known even though the signaling molecules of some signaling… read more here.
Keywords: signaling pathways; hisp hybrid; approach identifying; intelligent approach ... See more keywords
Task Offloading in Hybrid Intelligent Reflecting Surface and Massive MIMO Relay Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2021.3122992
Abstract: This paper investigates the task offloading problem in a hybrid intelligent reflecting surface (IRS) and massive multiple-input multiple-output (MIMO) relay assisted fog computing system, where multiple task nodes (TNs) offload their computational tasks to computing… read more here.
Keywords: reflecting surface; intelligent reflecting; task offloading; hybrid intelligent ... See more keywords
Photovoltaic Power Generation Forecasting Using a Novel Hybrid Intelligent Model in Smart Grid
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/7495548
Abstract: The exponential growth of electrical demand and the integration of renewable energy sources (RES) brought new challenges in the traditional grid about energy quality. The transition from traditional grid to smart grid is the best… read more here.
Keywords: novel hybrid; energy; hybrid intelligent; model ... See more keywords
Ant lion optimized hybrid intelligent PID-based sliding mode controller for frequency regulation of interconnected multi-area power systems
Sign Up to like & getrecommendations! Published in 2020 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/0142331219892728
Abstract: In this article, a novel hybrid intelligent Proportional Integral Derivative (PID)-based sliding mode controller (IPID-SMC) is proposed to solve the LFC problem for realistic interconnected multi-area power systems. The optimization task for best-regulating parameters of… read more here.
Keywords: power systems; pid based; area; controller ... See more keywords
Deterministic and Probabilistic Prediction of Wind Power Based on a Hybrid Intelligent Model
Sign Up to like & getrecommendations! Published in 2023 at "Energies"
DOI: 10.3390/en16104237
Abstract: Uncertainty in wind power is often unacceptably large and can easily affect the proper operation, quality of generation, and economics of the power system. In order to mitigate the potential negative impact of wind power… read more here.
Keywords: intelligent model; wind power; power; hybrid intelligent ... See more keywords