At present times, Blockchain technology is gaining more attraction with every passing day,
as it has revolutionized the traditional trade due to its distributed ledger feature, every record …

Nowadays, learning-based modeling methods are utilized to build a precise forecast model
for renewable power sources. Computational Intelligence (CI) techniques have been …

Accurate and reliable short-term forecasting of wind power is vital for balancing energy and
integrating wind power into a grid. A novel hybrid deep learning model is designed in this …

The Internet of Drones (IoD) is built on the Internet of Things (IoT) by replacing “Things” with
“Drones” while retaining incomparable features. Because of its vital applications, IoD …

Abstract The Internet of Things (IoT), Big Data and Machine Learning (ML) may represent
the foundations for implementing the concept of intelligent production, smart products …

Sustainable green products and services garner more attention from companies and
enterprises that aim to succeed and grow in highly competitive markets by imposing less …

Accurate precipitation (P) short-term forecasts are important for engineering studies and
water allocation. This study evaluated a method for bias correction of the Numerical Weather …

The usage of cloud services is growing exponentially with the recent advancement of
Internet of Things (IoT)-based applications. Advanced scheduling approaches are needed to …

Inherent hazards such as landslides pose a threat to human life and may inflict significant
harm on the surrounding ecosystem. For planning, controlling, and avoiding landslide …

Abstract Particle Swarm Optimization (PSO) has been widely used to solve optimization
problems. Although a large number of PSO variants have been proposed so far, they suffer …