VOTING

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Deep Learning and Machine Learning Architectures for Dementia Detection from Speech in Women
《Computer Modeling in Engineering & Sciences》2025年第3期2959-3001,共43页Ahlem Walha Amel Ksibi Mohammed Zakariah Manel Ayadi Tagrid Alshalali Oumaima Saidani Leila Jamel Nouf Abdullah Almujally 
funded by the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University,through the Research Groups Program Grant No.(RGP-1444-0057).
Dementia is a neurological disorder that affects the brain and its functioning,and women experience its effects more than men do.Preventive care often requires non-invasive and rapid tests,yet conventional diagnostic ...
关键词：Dementia detection in women Alzheimer’s disease deep learning machine learning support vector machine voting classifier 
Weighted Voting Ensemble Model Integrated with IoT for Detecting Security Threats in Satellite Systems and Aerial Vehicles
《Journal of Computer and Communications》2025年第2期250-281,共32页Raed Alharthi 
Small-drone technology has opened a range of new applications for aerial transportation. These drones leverage the Internet of Things (IoT) to offer cross-location services for navigation. However, they are susceptibl...
关键词：Intrusion Detection Cyber-Physical Systems Drone Security Weighted Ensemble Voting Unmanned Vehicles Security Strategies 
Improving Badminton Action Recognition Using Spatio-Temporal Analysis and a Weighted Ensemble Learning Model
《Computers, Materials & Continua》2024年第11期3079-3096,共18页Farida Asriani Azhari Azhari Wahyono Wahyono 
supported by the Center for Higher Education Funding(BPPT)and the Indonesia Endowment Fund for Education(LPDP),as acknowledged in decree number 02092/J5.2.3/BPI.06/9/2022。
Incredible progress has been made in human action recognition(HAR),significantly impacting computer vision applications in sports analytics.However,identifying dynamic and complex movements in sports like badminton re...
关键词：Weighted ensemble learning badminton action soft voting classifier joint skeleton fast dynamic time warping SPATIOTEMPORAL 
Data-enhanced revealing of trends in Geoscience被引量：1
《Journal of Data and Information Science》2024年第3期29-43,共15页Yu Zhao Meng Wang Jiaxin Ding Jiexing Qi Lyuwen Wu Sibo Zhang Luoyi Fu Xinbing Wang Li Cheng 
Purpose:This article presents an in-depth analysis of global research trends in Geosciences from 2014 to 2023.By integrating bibliometric analysis with expert insights from the Deep-time Digital Earth(DDE)initiative,t...
关键词：GEOSCIENCES Research trends BIBLIOMETRICS Expert knowledge Global voting 
Youth voting and institutional change in the post-Arab Spring MENA region
《Economic and Political Studies》2024年第3期318-344,共27页Ali Fakih Mohammad Hammoud Nagham Sayour 
Using a unique and novel dataset on the youth,the SAHWA Youth Survey(2016),we apply probit and ordered probit models to study the determinants of voting behaviour change among the youth in the Middle East and North Af...
关键词：Voting behaviour YOUTH Arab Spring institutional change the MENA region 
A Distributed Self-Tallying Electronic Voting System Using the Smart Contract
《Chinese Journal of Electronics》2024年第4期1063-1076,共14页Jingyu YAO Bo YANG Tao WANG Wenzheng ZHANG 
National Natural Science Foundation of China (Grant No. U20012052);Foundation of Science and Technology on Communication Security Laboratory of China (Grant No. 61421030108022110);Open Fund of the State Key Laboratory of Integrated Services Networks, Xidian University (Grant No. ISN23-23);Key Research and Development Program of Shaanxi (Grant No. 2023-YBGY-214)。
For electronic voting(e-voting) with a trusted authority, the ballots may be discarded or tampered, so it is attractive to eliminate the dependence on the trusted party. An e-voting protocol, where the final voting re...
关键词：Self-tallying Electronic voting system Distributed voting Smart contract 
A New Speed Limit Recognition Methodology Based on Ensemble Learning:Hardware Validation被引量：1
《Computers, Materials & Continua》2024年第7期119-138,共20页Mohamed Karray Nesrine Triki Mohamed Ksantini 
Advanced DriverAssistance Systems(ADAS)technologies can assist drivers or be part of automatic driving systems to support the driving process and improve the level of safety and comfort on the road.Traffic Sign Recogn...
关键词：Driving automation advanced driver assistance systems(ADAS) traffic sign recognition(TSR) artificial intelligence ensemble learning belief functions voting method 
MUS Model:A Deep Learning-Based Architecture for IoT Intrusion Detection
《Computers, Materials & Continua》2024年第7期875-896,共22页Yu Yan Yu Yang Shen Fang Minna Gao Yiding Chen 
support and help from the People’s Armed Police Force of China Engineering University,College of Information Engineering Subject Group,which funded this work under the All-Army Military Theory Research Project,Armed Police Force Military Theory Research Project(WJJY22JL0498).
In the face of the effective popularity of the Internet of Things(IoT),but the frequent occurrence of cybersecurity incidents,various cybersecurity protection means have been proposed and applied.Among them,Intrusion ...
关键词：Cyberspace security intrusion detection deep learning Markov Transition Fields(MTF) soft voting integration 
Urban Electric Vehicle Charging Station Placement Optimization with Graylag Goose Optimization Voting Classifier
《Computers, Materials & Continua》2024年第7期1163-1177,共15页Amel Ali Alhussan Doaa Sami Khafaga El-Sayed M.El-kenawy Marwa M.Eid Abdelhameed Ibrahim 
funded by the Deanship of Scientific Research,Princess Nourah bint Abdulrahman University,through the Program of Research Project Funding After Publication,Grant No.(44-PRFA-P-48).
To reduce the negative effects that conventional modes of transportation have on the environment,researchers are working to increase the use of electric vehicles.The demand for environmentally friendly transportation ...
关键词：Electric vehicle graylag goose optimization metaheuristics OPTIMIZATION machine learning 
Quantum Voting Machine Encoded with Microwave Photons
《Chinese Physics Letters》2024年第7期12-17,共6页张钰 杨垂平 苏奇平 康逸豪 郑文 李邵雄 于扬 
partly supported by the National Natural Science Foundation of China (Grant Nos.12074179 and U21A20436);the Innovation Program for Quantum Science and Technology (Grant No.2021ZD0301702);the Natural Science Foundation of Jiangsu Province,China (Grant Nos.BE2021015-1 and BK20232002);the Jiangsu Funding Program for Excellent Postdoctoral Talent (Grant No.20220ZB16);the Natural Science Foundation of Shandong Province,China (Grant No.ZR2023LZH002)。
We propose a simple quantum voting machine using microwave photon qubit encoding, based on a setup comprising multiple microwave cavities and a coupled superconducting flux qutrit. This approach primarily relies on a ...
关键词：QUANTUM MICROWAVE SIMPLICITY 
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