Results 41 to 50 of about 156,806 (296)

Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

IET Networks, EarlyView., 2022
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi, Shymaa Mohammed Jameel, Firas Husham Almukhtar, Musaddak Maher Abdul Zahra, Refed Adnan Jaleel   +4 more
wiley   +1 more source

Joint power control and user grouping mechanism for efficient uplink non‐orthogonal multiple access‐based 5G communication: Utilising the Lèvy‐flight firefly algorithm

IET Networks, EarlyView., 2023
We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh, Khaled F. Hayajneh, Haythem Bany Salameh, Raed Al Athamneh, Yaser Jararweh   +4 more
wiley   +1 more source

Data Intelligence Model and Meta-Heuristic Algorithms-Based Pan Evaporation Modelling in Two Different Agro-Climatic Zones: A Case Study from Northern India

Atmosphere, 2021
Precise quantification of evaporation has a vital role in effective crop modelling, irrigation scheduling, and agricultural water management. In recent years, the data-driven models using meta-heuristics algorithms have attracted the attention of ...
N. L. Kushwaha, Jitendra Rajput, A. Elbeltagi, Ashraf Y. Elnaggar, D. Sena, Dinesh Kr. Vishwakarma, I. Mani, Enas E. Hussein   +7 more
semanticscholar   +1 more source

Optimal size selection of combined diesel generator/fuel cell/photovoltaic system components using a multi‐objective strategy and sea lion optimization algorithm

IET Renewable Power Generation, EarlyView., 2023
The main purpose of the presented paper is to offer an optimum arrangement for a combined diesel generator/FC/PV system to off‐grid supplying of the electricity in a community in Shache, China. Abstract One of the challenges of the production sector of the electricity industry at present is how to meet the needs of electricity consumption in the ...
Hongbin Wang, Nurulafiqah Nadzirah Binti Mansor, Hazlie Bin Mokhlis, Arsam Mashhadi   +3 more
wiley   +1 more source

Comparison of meta-heuristic algorithms for fuzzy modelling of COVID-19 illness’ severity classification

IAES International Journal of Artificial Intelligence (IJ-AI), 2022
The world health organization (WHO) proclaimed the COVID-19, commonly known as the coronavirus disease 2019, was a pandemic in March 2020. When people are in close proximity to one another, the virus spreads mostly through the air.
Nur Azieta Mohamad Aseri, Mohd Arfian Ismail, A. S. Fakharudin, Ashraf Osman Ibrahim, S. Kasim, Noor Hidayah Binti Zakaria, Tole Sutikno   +6 more
semanticscholar   +1 more source

A Search-Based Test Data Generation Method for Concurrent Programs

International Journal of Computational Intelligence Systems, 2020
Concurrent programs are being widely adopted in development of multi-core and many-core processors. However, these types of programs present some features such as concurrency, communication and synchronization which make their testing more challenging ...
Seyed Mohsen Mirhosseini, Hassan Haghighi   +1 more
doaj   +1 more source

Application of predator-prey optimization for task scheduling in cloud computing [PDF]

Journal of Mahani Mathematical Research
Cloud computing environments require scheduling to allocate resources efficiently and ensure optimal performance. It is possible to maximize resource utilization and minimize execution time by scheduling cloud systems effectively.
Zahra Jalali Khalil Abadi, Behnam Mohammad Hasani zade, Najme Mansouri, Mohammad Masoud Javidi   +3 more
doaj   +1 more source

Towards Autonomous Production: Enhanced Meta-heuristics Algorithm

Procedia Computer Science, 2022
Industry 4.0's vision incorporates decentralised production planning and control to cater for the complex and unpredictable future production environment, resulting from market fluctuation, and changes in customers demands and behaviour. One of the primary goals of decentralised planning and control in industry 4.0 is to realise a fully autonomous ...
Ogunsakin, Rotimi, Mehandjiev, Nikolay
openaire   +2 more sources

From the Gut to the Brain: Microplastic‐Associated Neurovascular Dysfunction and Implications for Stroke Risk

Advanced Science, EarlyView.
Chronic oral exposure to microplastics may disrupt gut microbiota homeostasis and intestinal barrier integrity, potentially engaging the gut–brain axis and systemic inflammatory responses. These alterations may be associated with impaired blood–brain barrier function, cerebral microvascular dysfunction, and enhanced endothelial inflammation, pro ...
Hongxing Wang, Yujiao He, Pei Zou, Xiaoyi Wang, Gang Peng, Xiangying Deng   +5 more
wiley   +1 more source

Chaos Embedded Meta-heuristic Algorithms for Optimal Design of Truss Structures

Scientia Iranica. International Journal of Science and Technology, 2022
The success of embedded chaos in meta-heuristic algorithms is mainly due to providing good balance between exploration and exploitation for meta-heuristics. Comparison of optimization results with algorithms in standard mode and embedded of chaos shows a
Hossein Yousefpoor, A. Kaveh
semanticscholar   +1 more source