Abstract Machine learning has been the corner stone in analysing and extracting information
from data and often a problem of missing values is encountered. Missing values occur …

Context Recent developments in requirements engineering (RE) methods have seen a
surge in using machine-learning (ML) algorithms to solve some difficult RE problems. One …

Air, an essential natural resource, has been compromised in terms of quality by economic
activities. Considerable research has been devoted to predicting instances of poor air …

Wildfires threaten and kill people, destroy urban and rural property, degrade air quality,
ravage forest ecosystems, and contribute to global warming. Wildfire management decision …

Machine learning merupakan sistem yang mampu belajar sendiri untuk memutuskan
sesuatu tanpa harus berulangkali diprogram oleh manusia sehingga komputer menjadi …

Geological settings of the Karakoram Highway (KKH) increase the risk of natural disasters,
threatening its regular operations. Predicting landslides along the KKH is challenging due to …

The year 2020 experienced an unprecedented pandemic called COVID-19, which impacted
the whole world. The absence of treatment has motivated research in all fields to deal with it …

Machine Learning (ML) is a rapidly emerging field that enables a plethora of innovative
approaches to solving real-world problems. It enables machines to learn without human …

Non-Terrestrial Networks (NTN) are expected to be a critical component of 6th Generation
(6G) networks, providing ubiquitous, continuous, and scalable services. Satellites emerge as …

In the domains of computational and applied mathematics, soft computing, fuzzy logic, and
machine learning (ML) are well‐known research areas. ML is one of the computational …