Metaheuristic algorithms based on intelligent rules have been successfully developed and
applied to solve many optimization areas over the past few decades. The sine–cosine …

This paper proposes a Sine Cosine hybrid optimization algorithm with Modified Whale
Optimization Algorithm (SCMWOA). The goal is to leverage the strengths of WOA and SCA …

Although solar energy harnessing capacity varies considerably based on the employed
solar energy technology and the meteorological conditions, accurate direct normal …

Metaheuristic optimization algorithms present an effective method for solving several
optimization problems from various types of applications and fields. Several metaheuristics …

Applications of internet-of-things (IoT) are increasingly being used in many facets of our
daily life, which results in an enormous volume of data. Cloud computing and fog computing …

Diabetic Maculopathy (DM) is considered the most common cause of permanent visual
impairment in diabetic patients. The absence of clear pathological symptoms of DM hinders …

Selecting the most relevant subset of features from a dataset is a vital step in data mining
and machine learning. Each feature in a dataset has 2n possible subsets, making it …

Recent technologies such as artificial intelligence, machine learning, and big data are
essential for supporting healthcare monitoring systems, particularly for monitoring …

Rainfall plays a significant role in managing the water level in the reservoir. The
unpredictable amount of rainfall due to the climate change can cause either overflow or dry …

Detecting transformer faults is critical to avoid the undesirable loss of transformers from
service and ensure utility service continuity. Transformer faults diagnosis can be determined …