Review of ML and AutoML solutions to forecast time-series data

A Alsharef, K Aggarwal, Sonia, M Kumar… - … Methods in Engineering, 2022 - Springer
Time-series forecasting is a significant discipline of data modeling where past observations
of the same variable are analyzed to predict the future values of the time series. Its …

Time series data modeling using advanced machine learning and AutoML

A Alsharef, K Kumar, C Iwendi - Sustainability, 2022 - mdpi.com
A prominent area of data analytics is “timeseries modeling” where it is possible to forecast
future values for the same variable using previous data. Numerous usage examples …

Machine Learning Based Model to Predict Stock Prices: A Survey

R Harikrishnan, A Gupta, N Tadanki… - IOP Conference …, 2021 - iopscience.iop.org
In this survey paper, we provide the findings obtained from extensive reading of 35 research
papers that span the financial domain (specifically the Stock Market) as well as explore …

A Deep Learning-based Approach to Predict the Flood Patterns Using Sentinel-1A Time Series Images

M Siddique, T Ahmed, MS Husain - Journal of the Indian Society of …, 2024 - Springer
The risk from natural disasters is incessantly growing with the complex nature of advancing
globalization. The escalating change in global climate is a driving factor in increasing floods …

[PDF][PDF] Sonia; Kumar, K.; Iwendi, C. Time Series Data Modeling Using Advanced Machine Learning and AutoML. Sustainability 2022, 14, 15292

A Alsharef - 2022 - researchgate.net
A prominent area of data analytics is “timeseries modeling” where it is possible to forecast
future values for the same variable using previous data. Numerous usage examples …