As a core branch of financial forecasting, stock forecasting plays a crucial role for financial
analysts, investors, and policymakers in managing risks and optimizing investment …

Flood forecasting is an essential non-engineering measure for flood prevention and disaster
reduction. Many models have been developed to study the complex and highly random …

Rainfall forecasting has gained utmost research relevance in recent times due to its
complexities and persistent applications such as flood forecasting and monitoring of …

Streamflow forecasting is essential for hydrological engineering. In accordance with the
advancement of computer aids in this field, various machine learning (ML) models have …

Speaker identification is a classification task which aims to identify a subject from a given
time-series sequential data. Since the speech signal is a continuous one-dimensional time …

Machine learning methods trained on raw numerical time series data exhibit fundamental
limitations such as a high sensitivity to the hyper parameters and even to the initialization of …

In the present research, the information on compressive strength of self-compacting concrete
(SCC) containing rice husk ash (RHA) and calcium carbide waste (CCW) as an admixture …

Solar panels can generate energy to meet almost all of the energy needs of a house.
Batteries store energy generated during daylight hours for future use. Also, it may be …

The growing demand for various types of paper highlights the importance of optimizing the
kraft pulping process to achieve desired paper properties. This work proposes a novel …

The main aim of the rain forecast is to determine rain occurrence conditions in a specific
location. This is considered of vital importance to assess the availability of water resources …