Next generation wireless networks are expected to be extremely complex due to their
massive heterogeneity in terms of the types of network architectures they incorporate, the …

In Machine learning (ML) and deep learning (DL), hyperparameter tuning is the process of
selecting the combination of optimal hyperparameters that give the best performance. Thus …

The construction industry has high accident and fatality rates owing to time and cost
pressures as well as hazardous working environments caused by heavy construction …

Unlimited access to information and data sharing wherever and at any time for anyone and
anything is a fundamental component of fifth-generation (5G) wireless communication and …

Accurate crop yield predictions are crucial for farmers and policymakers. Despite the
widespread use of ensemble machine learning (ML) models in computer science, their …

Phishing is an attempt to acquire sensitive information from an unsuspecting victim by
malicious means. Recent studies have shown that phishers often use persuasion …

Our aim was to predict future high-cost patients with machine learning using healthcare
claims data. We applied a random forest (RF), a gradient boosting machine (GBM), an …

Much evidence has shown that each individual has different needs, preferences, and
expectations of the indoor thermal environment, which may cause potential excessive …

Abstract Convolutional Neural Network (CNN) is an effective Deep Learning (DL) algorithm
that solves various image identification problems. The use of CNN for time-series data …

A log data analysis plays an important role in the uranium mining process. Automating this
analysis using machine learning methods improves the results and reduces the influence of …