In the broad scientific field of time series forecasting, the ARIMA models and their variants
have been widely applied for half a century now due to their mathematical simplicity and …

Cryptocurrency is in great demand today and there is pretty much investment in
cryptocurrencies by the investors. There are more than 6000 cryptocurrencies all over the …

Abstract Multistep Human Density Prediction (MHDP) is an emerging challenge in urban
mobility with lots of applications in several domains such as Smart Cities, Edge Computing …

India, a topographically and meteorologically rich country, has a vast range of rainfall
variability. The impacts could be realized across various sectors, including agriculture …

Short-to-medium term temperature prediction in high resolution is a very challenging task,
involving meteorology, physics, mathematics, geography, and many other subjects. Its …

Deep Learning (DL) models can make short-and long-term predictions in just a few seconds,
beyond the capabilities of traditional physical models. However, the capabilities of different …

Stock price prediction has attracted a huge attention for its potential in growing of both the
company and shareholders. Many different researches have done with various methods and …

Weather forecasting is an essential task in smart agriculture, wide-area weather reports
typically predict over a large geographic area likes city or province. In this paper, we deploy …

The modeling of meteorological parameters sheds light on the determination of agricultural
water needs and dry periods. Predicting precipitation and, therefore, droughts provides …

In many applications using wireless sensor networks, the reliability of monitored data is
crucial to analyze situations and take decisions. Compressed sensing methods are effective …