State-of-the-art review on energy and load forecasting in microgrids using artificial neural networks, machine learning, and deep learning techniques
Forecasting renewable energy efficiency significantly impacts system management and
operation because more precise forecasts mean reduced risk and improved stability and …
operation because more precise forecasts mean reduced risk and improved stability and …
Bio-inspired optimization-based path planning algorithms in unmanned aerial vehicles: A survey
Advancements in electronics and software have enabled the rapid development of
unmanned aerial vehicles (UAVs) and UAV-assisted applications. Although the mobility of …
unmanned aerial vehicles (UAVs) and UAV-assisted applications. Although the mobility of …
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 …
Feature selection in wind speed forecasting systems based on meta-heuristic optimization
Technology for anticipating wind speed can improve the safety and stability of power
networks with heavy wind penetration. Due to the unpredictability and instability of the wind …
networks with heavy wind penetration. Due to the unpredictability and instability of the wind …
[HTML][HTML] Hourly predictions of direct normal irradiation using an innovative hybrid LSTM model for concentrating solar power projects in hyper-arid regions
Although solar energy harnessing capacity varies considerably based on the employed
solar energy technology and the meteorological conditions, accurate direct normal …
solar energy technology and the meteorological conditions, accurate direct normal …
Robust speech emotion recognition using CNN+ LSTM based on stochastic fractal search optimization algorithm
One of the main challenges facing the current approaches of speech emotion recognition is
the lack of a dataset large enough to train the currently available deep learning models …
the lack of a dataset large enough to train the currently available deep learning models …
[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 …
A hybrid dipper throated optimization algorithm and particle swarm optimization (DTPSO) model for hepatocellular carcinoma (HCC) prediction
Hepatocellular carcinoma (HCC) is a form of liver cancer that is widespread in Europe,
Africa, and Asia. The early identification of HCC is critical in improving the likelihood of …
Africa, and Asia. The early identification of HCC is critical in improving the likelihood of …
Enhancement of the cast block algorithm based on novel S-box for image encryption
Background and Aim: due to the rapid growth of data communication and multimedia system
applications, security becomes a critical issue in the communication and storage of images …
applications, security becomes a critical issue in the communication and storage of images …