On the relevance of data science for flight delay research: a systematic review
L Carvalho, A Sternberg, L Maia Goncalves… - Transport …, 2021 - Taylor & Francis
Flight delays are a significant problem for society as they evenly impair airlines, transport
companies, air traffic controllers, facility managers, and passengers. Studying prior flight …
companies, air traffic controllers, facility managers, and passengers. Studying prior flight …
A review on flight delay prediction
A Sternberg, J Soares, D Carvalho… - arXiv preprint arXiv …, 2017 - arxiv.org
Flight delays hurt airlines, airports, and passengers. Their prediction is crucial during the
decision-making process for all players of commercial aviation. Moreover, the development …
decision-making process for all players of commercial aviation. Moreover, the development …
On evaluating data preprocessing methods for machine learning models for flight delays
L Moreira, C Dantas, L Oliveira, J Soares… - … Joint Conference on …, 2018 - ieeexplore.ieee.org
Flight delays cause various inconveniences for airlines, airports, and passengers. According
to data provided by the Brazilian National Civil Aviation Agency (ANAC), between 2009 and …
to data provided by the Brazilian National Civil Aviation Agency (ANAC), between 2009 and …
Airline delay prediction by machine learning algorithms
H Khaksar, A Sheikholeslami - Scientia Iranica, 2019 - scientiairanica.sharif.edu
Flight planning, as one of the challenging issue in the industrial world, is faced with many
uncertain conditions. One such condition is delay occurrence, which stems from various …
uncertain conditions. One such condition is delay occurrence, which stems from various …
支持向量机在智能交通系统中的研究应用综述.
林浩， 李雷孝， 王慧 - … of Frontiers of Computer Science & …, 2020 - search.ebscohost.com
支持向量机(SVM) 是一种基于统计学习理论的有监督机器学习算法, 具有优秀的泛化和低数据
要求的回归与分类建模能力, 被广泛应用于智能交通系统的数据分析与挖掘建模中. 首先对SVM …
要求的回归与分类建模能力, 被广泛应用于智能交通系统的数据分析与挖掘建模中. 首先对SVM …
Training host-pathogen protein–protein interaction predictors
Detection of protein–protein interactions (PPIs) plays a vital role in molecular biology.
Particularly, pathogenic infections are caused by interactions of host and pathogen proteins …
Particularly, pathogenic infections are caused by interactions of host and pathogen proteins …
Forecasting air flight delays and enabling smart airport services in apache spark
In light of the rapidly growing passenger and flight volumes, airports seek for sustainable
solutions to improve passengers' experience and comfort, while maximizing their profits. A …
solutions to improve passengers' experience and comfort, while maximizing their profits. A …
An improved svm model for flight delay prediction
Flight delays are aggravated by the increasing number of flights. Although it cannot be
avoided completely, early warning through accurate prediction is an effective way to mitigate …
avoided completely, early warning through accurate prediction is an effective way to mitigate …
Fuzzy support vector regression machine with penalizing Gaussian noises on triangular fuzzy number space
In view of the shortage of ε-insensitive loss function for Gaussian noise, this paper presents
a new version of fuzzy support vector machine (SVM) which can penalize Gaussian noise to …
a new version of fuzzy support vector machine (SVM) which can penalize Gaussian noise to …
A sparrow search algorithm-optimized convolutional neural network for imbalanced data classification using synthetic minority over-sampling technique
W Deng, Q He, X Zhou, H Chen, H Zhao - Physica Scripta, 2023 - iopscience.iop.org
Due to the large span of flight delay, numerous influencing factors and large number of
flights, the collected flight delay data is characterized by large-scale and imbalance, which is …
flights, the collected flight delay data is characterized by large-scale and imbalance, which is …