Results 31 to 40 of about 422 (162)
In multi-interconnected power system, keeping the changes in frequencies and tie-line powers at their specified values is vital process especially during operation under load disturbance.
Ahmed Fathy, Abdullah G. Alharbi
doaj +1 more source
Review: machine and deep learning methods in Malaysia for COVID-19 [PDF]
The global pandemic of the coronavirus disease COVID-19 has impacted a variety of operations. This dilemma is also attributable to the lockdown measures taken by the afflicted nations.
Asmawaty Abdul Kadir, Tuty +4 more
core +6 more sources
Enhancing Rice Leaf Disease Classification: A Customized Convolutional Neural Network Approach [PDF]
In modern agriculture, correctly identifying rice leaf diseases is crucial for maintaining crop health and promoting sustainable food production. This study presents a detailed methodology to enhance the accuracy of rice leaf disease classification.
Abasi, Ammar Kamal +4 more
core +2 more sources
In the field of medicine, has resulted in the need to filter these data to find information that is relevant for specific research problems. However, in the realm of scientific study, the process of selecting the appropriate data or features represents a
MOHAMMED ALWESHAH
doaj +1 more source
Bacterial Memetic Algorithm for Asymmetric Capacitated Vehicle-Routing Problem [PDF]
The vehicle-routing problem (VRP) has many variants, including the most accurate models of real-life transportation tasks, making it one of the most important mathematical problems in the field of logistics.
Botzheim, Janos, Hollo-Szabo, Akos
core +1 more source
An optimization method for underwater images enhancement
Underwater images suffer from absorption and scattering of light, so underwater images are blurry, while contrast, clarity, and lighting are low. To improve the quality of underwater images, a method based on the new metaheuristic algorithm, the CHIO ...
Zaid Alyasseri, Rana Ghalib
doaj +1 more source
Islanded microgrids (MGs) are now widely used to electrify rural areas at a lesser cost and with greater efficiency. To maintain system balance and guarantee stability when exposed to various disturbances, MGs should be equipped with efficient ...
H.K. Shaker +3 more
doaj +1 more source
Task Scheduling Optimization in Cloud Computing by Coronavirus Herd Immunity Optimizer Algorithm
Cloud computing is now dominant in high-performance distributed computing, offering resource polling and ondemand services over the web. So, the task scheduling problem in a cloud computing environment becomes a significant analysis space due to the dynamic demand for user services.
Ahmed Y. Hamed +2 more
openaire +1 more source
A Bioinformatics Approach to Investigate Structural and Non-Structural Proteins in Human Coronaviruses [PDF]
Recent studies confirmed that people unexposed to SARS-CoV-2 have preexisting reactivity, probably due to previous exposure to widely circulating common cold coronaviruses. Such preexistent reactivity against SARS-CoV-2 comes from memory T cells that can
A. Pasqui +5 more
core +1 more source
Adaptive Metaheuristic Methods Based on the Covid-19 Virus’ Behavior and Measures for Fight It [PDF]
The research proposes the numerical optimization methods are based on metaheuristic methods on the basis of COVID-19 virus' behavior and measures to fight it.
Fedorov, Eugene +5 more
core

