A novel machine learning and face recognition technique for fake accounts detection system on cyber social networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-14347-8.pdf
Reference64 articles.
1. Abualigah L, Alfar HE, Shehab M, Hussein AMA (2020) Sentiment analysis in healthcare: a brief review. Recent Adv NLP Case Arabic Lang:129–141
2. Abualigah L, Diabat A (2022) Chaotic binary reptile search algorithm and its feature selection applications. J Ambient Intell Humanized Comput:1–17
3. Abualigah L, Kareem NK, Omari M, Elaziz MA, Gandomi AH (2021) Survey on twitter sentiment analysis: architecture, classifications, and challenges. In: Deep learning approaches for spoken and natural language processing. Springer, pp 1–18
4. Abushanap SA, Abdalla AM, Tamimi AA, Alzu’bi S (2021) A survey of human face recognition for partial face view. In: 2021 International conference on information technology (ICIT), IEEE, pp 571–576
5. Abusukhon A, AlZu’bi S (2020) New direction of cryptography: a review on text-to-image encryption algorithms based on rgb color value. In: 2020 Seventh international conference on software defined systems (SDS), IEEE, pp 235–239
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Detection of Fake Profiles on Online Social Network Platforms: Performance Evaluation of Artificial Intelligence Techniques;SN Computer Science;2024-04-25
2. Leveraging Machine Learning for Fraudulent Social Media Profile Detection;Cybernetics and Information Technologies;2024-03-01
3. Navigating the face recognition: unleashing the power of few-shot learning through metric-based insights;Multimedia Tools and Applications;2024-03-01
4. A Fake Profile Detection Model Using Multistage Stacked Ensemble Classification;Proceedings of Engineering and Technology Innovation;2024-02-29
5. Advancements in nanomaterials for nanosensors: a comprehensive review;Nanoscale Advances;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3