2022
DOI: 10.1007/s00521-022-06898-y
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Social ski driver conditional autoregressive-based deep learning classifier for flight delay prediction

Abstract: The importance of robust flight delay prediction has recently increased in the air transportation industry. This industry seeks alternative methods and technologies for more robust flight delay prediction because of its significance for all stakeholders. The most affected are airlines that suffer from monetary and passenger loyalty losses. Several studies have attempted to analysed and solve flight delay prediction problems using machine learning methods. This research proposes a novel alternative method, name… Show more

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Cited by 22 publications
(11 citation statements)
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References 70 publications
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“…The equivalent circuit of TCSC is shown in Figure 2. The TCSC functioning can be understood by means of analyzing the behavior of a variable inductor L that is connected in parallel with the capacitor C. Further, the mathematical expression for computing the equivalent impedance Z eq of this LC combinational circuit is depicted in Equation (1).…”
Section: Atc and Tcsc Basismentioning
confidence: 99%
See 1 more Smart Citation
“…The equivalent circuit of TCSC is shown in Figure 2. The TCSC functioning can be understood by means of analyzing the behavior of a variable inductor L that is connected in parallel with the capacitor C. Further, the mathematical expression for computing the equivalent impedance Z eq of this LC combinational circuit is depicted in Equation (1).…”
Section: Atc and Tcsc Basismentioning
confidence: 99%
“…The power system is a compound electrical network, which is extremely bulky that includes generation networks, transmission networks and distribution networks along with loads and these networks are being stretched all over the huge geographical zone. 1,2 Recently, the demand for electric power escalates in an exponential mode and hence ceaseless efforts are being implied by the power system industries in distribution, transmission, and generation of electric power. [3][4][5] These industries keep promoting their techniques to sustain the structure of the competitive electric power markets.…”
Section: Introductionmentioning
confidence: 99%
“…In contrast to VMs, container‐oriented virtualization allows an existing operating system to offer further isolation 14–17 . Thus, a container simplifies the exploitation of cloud appliances and satisfies the most important needs of cloud, that is, density and elasticity 7,18–21 …”
Section: Introductionmentioning
confidence: 99%
“…[14][15][16][17] Thus, a container simplifies the exploitation of cloud appliances and satisfies the most important needs of cloud, that is, density and elasticity. 7,[18][19][20][21] In spite of the speedy growth in technologies, there are certain problems in managing and developing MS in the cloud. 22,23 The allocation of container resources in the cloud is an NP-hard issue and it should be resolved using genetic algorithm, reinforcement learning approach, chemical reaction optimization algorithm, and reinforcement learning-based microservice allocation (RL-MA), improved particle swarm optimization based quantum evolutionary algorithm (IPOQEA).…”
Section: Introductionmentioning
confidence: 99%
“…Recently, the deep learning (DL) field has been grown rapidly in different visual recognition tasks as the CNNs 20‐23 have its additive performance 24 . Further, the merits of CNN include the hierarchical abstractions through end‐to‐end training of image data, and the ability to learn high‐level automatically.…”
Section: Introductionmentioning
confidence: 99%