Results 101 to 110 of about 269,671 (328)

Preference Based PSO for Utility Optimization in Broadband Digital Economy

International Journal of Information and Communication Technology Research, 2016
Efficient data transfer in broadband networks is the anchor point of digital economy in modern era. One of the most challenging issues for providing different services in broadband is the bandwidth allocation. That is a realtime multi-dimensional problem
Leila Mansourifar, Nasser Mozayani
doaj  

Neutrophil-to-Lymphocyte Ratio as a Predictor of Cardiovascular Events in Psoriatic Disease: A Retrospective Cohort Study. [PDF]

ACR Open Rheumatol
Objective The aim of this study was to evaluate the neutrophil‐to‐lymphocyte ratio (NLR) as an independent predictor of major adverse cardiovascular events (MACEs) and all‐cause mortality in patients with psoriasis (PsO) or psoriatic arthritis (PsA). Methods We conducted a retrospective cohort study of 967 patients (825 with PsO and 142 with PsA) at a ...
Martini M, Logiudice L, Mazzuoccolo LD, Alvarado N, Vargas Caselles A, De La Torre P, Torres Londono V, Acosta Felquer ML, Rosa J, Soriano ER.   +9 more
europepmc   +2 more sources

Modified PSO algorithm for real-time energy management in grid-connected microgrids

Renewable Energy, 2018
Real-time energy management of a converter-based microgrid is difficult to determine optimal operating points of a storage system in order to save costs and minimise energy waste.
Md. Alamgir Hossain, H. Pota, S. Squartini, A. F. Abdou   +3 more
semanticscholar   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

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

A Micro-GA Embedded PSO Feature Selection Approach to Intelligent Facial Emotion Recognition

IEEE Transactions on Cybernetics, 2017
This paper proposes a facial expression recognition system using evolutionary particle swarm optimization (PSO)-based feature optimization. The system first employs modified local binary patterns, which conduct horizontal and vertical neighborhood pixel ...
Kamlesh Mistry, Li Zhang, S. Neoh, C. Lim, Ben Fielding   +4 more
semanticscholar   +1 more source

Motion planning and control of an installation robot for attitude adjustment of arc parts in underground shield tunneling

Deep Underground Science and Engineering, EarlyView.
Inspired by spiders, the multilegged walk‐through assembling robot for arc parts achieves high‐precision synchronous control under heavy loads through dual‐layer hydraulic pose dynamics modeling and hierarchical pressure optimization, significantly enhancing shield tunneling assembly efficiency and precision.
Quan Xiao, Guofei Xiang, Liang Liao, Lai Wei, Hongli Wang, Songyi Dian   +5 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

Robust Watermarking with PSO and DnCNN

Signal, Image and Video Processing
Abstract The NC value obtained for our scheme is very good against jpeg attacks and the results are much better than the compared articles. Also, the NC value obtained for the salt and pepper attack is better than the compared articles. In this paper, an algorithm for multiple watermarking in gray scale images based on contourlet and SVD ...
Ali Amiri, Bahram Kimiaghalam
openaire   +1 more source

Uniaxial compressive strength prediction and ratio parameter optimization of titanium tailings composite backfill materials using intelligent hybrid models

Deep Underground Science and Engineering, EarlyView.
Based on the 90 datasets, ERT and four optimization algorithms were used to build four hybrid models to predict the UCS of the backfill body. The SMA‐ERT model was the most effective model, and it can reliably guide the design of the backfill ratio parameters. Abstract This study analyzed the feasibility of using titanium (Ti) tailings as a backfilling
Weijun Liu, Zida Liu, Zhixiang Liu
wiley   +1 more source