A novel bio-inspired optimization algorithm design for wind power engineering applications time-series forecasting
Wind patterns can change due to climate change, causing more storms, hurricanes, and
quiet spells. These changes can dramatically affect wind power system performance and …
quiet spells. These changes can dramatically affect wind power system performance and …
Novel meta-heuristic algorithm for feature selection, unconstrained functions and engineering problems
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 …
Optimization Algorithm (SCMWOA). The goal is to leverage the strengths of WOA and SCA …
Classification of monkeypox images based on transfer learning and the Al-Biruni Earth Radius Optimization algorithm
The world is still trying to recover from the devastation caused by the wide spread of COVID-
19, and now the monkeypox virus threatens becoming a worldwide pandemic. Although the …
19, and now the monkeypox virus threatens becoming a worldwide pandemic. Although the …
[PDF][PDF] Al-Biruni Earth Radius (BER) Metaheuristic Search Optimization Algorithm.
Metaheuristic optimization algorithms present an effective method for solving several
optimization problems from various types of applications and fields. Several metaheuristics …
optimization problems from various types of applications and fields. Several metaheuristics …
[PDF][PDF] Network Intrusion Detection Based on Feature Selection and Hybrid Metaheuristic Optimization.
R Alkanhel, ESM El-kenawy… - … , Materials & Continua, 2023 - researchgate.net
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 …
daily life, which results in an enormous volume of data. Cloud computing and fog computing …
[PDF][PDF] Adaptive dynamic dipper throated optimization for feature selection in medical data
The rapid population growth results in a crucial problem in the early detection of diseases in
medical research. Among all the cancers unveiled, breast cancer is considered the second …
medical research. Among all the cancers unveiled, breast cancer is considered the second …
A recommendation system for electric vehicles users based on restricted Boltzmann machine and waterwheel plant algorithms
Ensuring reliable and easily accessible charging infrastructure becomes crucial as more
people adopt electric vehicles. This study introduces a recommendation system designed to …
people adopt electric vehicles. This study introduces a recommendation system designed to …
[PDF][PDF] Hybrid Dipper Throated and Grey Wolf Optimization for Feature Selection Applied to Life Benchmark Datasets
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 …
and machine learning. Each feature in a dataset has 2n possible subsets, making it …
Meta-heuristic optimization of LSTM-based deep network for boosting the prediction of monkeypox cases
Recent technologies such as artificial intelligence, machine learning, and big data are
essential for supporting healthcare monitoring systems, particularly for monitoring …
essential for supporting healthcare monitoring systems, particularly for monitoring …
[PDF][PDF] Al-Biruni Based Optimization of Rainfall Forecasting in Ethiopia.
ESM El-Kenawy, AA Abdelhamid… - … Systems Science & …, 2023 - researchgate.net
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 …
unpredictable amount of rainfall due to the climate change can cause either overflow or dry …