Systematic review of passenger demand forecasting in aviation industry
Forecasting aviation demand is a significant challenge in the airline industry. The design of
commercial aviation networks heavily relies on reliable travel demand predictions. It enables …
commercial aviation networks heavily relies on reliable travel demand predictions. It enables …
Hybrid learning-oriented approaches for predicting Covid-19 time series data: A comparative analytical study
Using medical science alongside time series data analysis can be given a strong tool to
develop efficient decision support systems in Corona pandemic. In this regard, many hybrid …
develop efficient decision support systems in Corona pandemic. In this regard, many hybrid …
Towards Improved XAI-Based Epidemiological Research into the Next Potential Pandemic
By applying AI techniques to a variety of pandemic-relevant data, artificial intelligence (AI)
has substantially supported the control of the spread of the SARS-CoV-2 virus. Along with …
has substantially supported the control of the spread of the SARS-CoV-2 virus. Along with …
Concept drift adaptation with incremental–decremental SVM
H Gâlmeanu, R Andonie - Applied Sciences, 2021 - mdpi.com
Data classification in streams where the underlying distribution changes over time is known
to be difficult. This problem—known as concept drift detection—involves two aspects:(i) …
to be difficult. This problem—known as concept drift detection—involves two aspects:(i) …
Development of neural network models for prediction of the outcome of COVID-19 hospitalized patients based on initial laboratory findings, demographics, and …
Background: During the process of the treatment of COVID-19 hospitalized patients,
physicians still face a lot of unknowns and problems. Despite the application of the treatment …
physicians still face a lot of unknowns and problems. Despite the application of the treatment …
Adaptive Early Classification of Time Series Using Deep Learning
Abstract Early Classification of Time Series (ECTS) is a process of predicting the class label
of time series at the earliest without observing the complete sequence. Time Series data is a …
of time series at the earliest without observing the complete sequence. Time Series data is a …