Results 11 to 20 of about 422 (162)

Coronavirus Herd Immunity Optimizer (CHIO) for Transmission Expansion Planning [PDF]

2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2021
This paper presents a novel mathematical model to simultaneously tackle the economic dispatch (ED) problem considering valve point effect, load uncertainty, distributed generation (DG) uncertainty, incentive-based demand response, and plug-in electric ...
Amini , Shiva, Anvari-Moghaddam, Amjad, Ghasemi, Sasan, Golpira, Hemin   +3 more
core   +4 more sources

A Coronavirus Herd Immunity Optimizer Based on Swarm Division

Shanghai Jiaotong Daxue xuebao
Aimed at the drawbacks of coronavirus herd immunity optimizer (CHIO), i.e., slow convergence speed and low optimization accuracy, a CHIO based on swarm division (SD-CHIO) is proposed.
LI Boqun, SUN Zhifeng
doaj   +2 more sources

Lighting enhancement of underwater image using coronavirus herd immunity optimizer

Alexandria Engineering Journal
Recently, the technology of Underwater computer vision has played a vital role by improving the quality of underwater images owing to its significance in different applications in marines, such as military, resource development, biological research, and ...
Zaid Abdi Alkareem Alyasseri, Rana Ghalib, Norziana Jamil, Husam Jasim Mohammed, Nor'ashikin Ali, Nabeel Salih Ali, Fahd N. Al-Wesabi, Mohammed Assiri   +7 more
doaj   +2 more sources

Coronavirus herd immunity optimizer (CHIO). [PDF]

Neural Comput Appl, 2021
In this paper, a new nature-inspired human-based optimization algorithm is proposed which is called coronavirus herd immunity optimizer (CHIO). The inspiration of CHIO is originated from the herd immunity concept as a way to tackle coronavirus pandemic (COVID-19).
Al-Betar MA, Al-Betar MA, Alyasseri ZAA, Awadallah MA, Abu Doush I.   +4 more
europepmc   +4 more sources

Retraction Note: Coronavirus herd immunity optimizer to solve classification problems. [PDF]

Soft comput, 2023
Alweshah M.
europepmc   +2 more sources

Managing spatio-temporal heterogeneity of susceptibles by embedding it into an homogeneous model: A mechanistic and deep learning study. [PDF]

PLoS Comput Biol
Accurate prediction of epidemics is pivotal for making well-informed decisions for the control of infectious diseases, but addressing heterogeneity in the system poses a challenge.
Tang B, Ma K, Liu Y, Wang X, Tang S, Xiao Y, Cheke RA.   +6 more
europepmc   +3 more sources

COVID-19 Vaccination Acceptance and Hesitancy in Healthcare Workers and the General Population: A Systematic Review and Policy Recommendations. [PDF]

Int J Environ Res Public Health
Publisher Copyright: © 2024 by the authors. Acknowledgments Centro de Estudos, Pesquisa e Desenvolvimento Tecnológico em Saúde Colectiva (CEPESC) and Instituto de Medicina Social at Universidade do Estado do Rio de Janeiro (IMS/UERJ) provided management ...
Pereira da Silva A, Castaneda LR, Cavalcante de Oliveira AP, Fronteira I, Craveiro I, Maia LS, Chança R, Boniol M, Ferrinho P, Dal Poz MR.   +9 more
europepmc   +3 more sources

Coronavirus herd immunity optimizer to solve classification problems.

Soft comput, 2023
Classification is a technique in data mining that is used to predict the value of a categorical variable and to produce input data and datasets of varying values. The classification algorithm makes use of the training datasets to build a model which can be used for allocating unclassified records to a defined class.
Alweshah M.
europepmc   +3 more sources

Archive-based coronavirus herd immunity algorithm for optimizing weights in neural networks. [PDF]

Neural Comput Appl, 2023
The success of the supervised learning process for feedforward neural networks, especially multilayer perceptron neural network (MLP), depends on the suitable configuration of its controlling parameters (i.e., weights and biases). Normally, the gradient descent method is used to find the optimal values of weights and biases. The gradient descent method
Abu Doush I, Awadallah MA, Al-Betar MA, Alomari OA, Makhadmeh SN, Abasi AK, Alyasseri ZAA.   +6 more
europepmc   +3 more sources

PREDICTING PEAK PARTICLE VELOCITY INDUCED BY MINING BLASTING USING OPTIMIZED DEEP LEARNING WITH CORONAVIRUS HERD IMMUNITY ALGORITHM

Rudarsko-geološko-naftni Zbornik
One of the most important economic sectors is mining. Open-pit mines are the most common form, and blasting is the most efficient method. This method can cause significant damage due to vibrations. Thus, monitoring and controlling vibrations is important.
Davood Mohammadi Sargini, Mohammad Ataei, Reza Mikaeil, Akbar Esmaeilzadeh   +3 more
doaj   +2 more sources