云南高校图书馆联盟文献共享服务平台- SPAM

SPAM: 作品数：109被引量：74H指数：5; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：程茜钱梦騄柳玲吕少卿曹晨更多>>; 相关机构：同济大学厦门理工学院西安电子科技大学北京邮电大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金浙江省自然科学基金国家教育部博士点基金厦门市科技计划项目更多>>

基于SPAMC-Methane模型的中国甲烷减排路径研究: 《气候变化研究进展》2024年第5期593-610,共18页解瑞丽柴麒敏; 加利福尼亚大学资助“全球非二氧化碳温室气体管控成效及技术、政策、标准研究”;世界资源研究所资助“农业和废弃物领域甲烷减排政策优化策略研究”。; 作为影响仅次于二氧化碳的短寿命温室气体,甲烷减排逐步从科学共识上升为政策共识,成为全球气候谈判焦点议题和国际合作的重点领域。文中比较分析了全球及我国甲烷排放趋势、特征及已有减排行动,并在“中国应对气候变化战略规划评估模...; 关键词：甲烷排放特征碳中和能源转型低排放减排路径

ROBO-SPOT:Detecting Robocalls by Understanding User Engagement and Connectivity Graph: 《Big Data Mining and Analytics》2024年第2期340-356,共17页Muhammad Ajmal Azad Junaid Arshad Farhan Riaz; Robo or unsolicited calls have become a persistent issue in telecommunication networks,posing significant challenges to individuals,businesses,and regulatory authorities.These calls not only trick users into disclosin...; 关键词：social network analysis REPUTATION unwanted calls robo-callers telephone network Spam Over Internet Technology(SPIT)

Automated Spam Review Detection Using Hybrid Deep Learning on Arabic Opinions: 《Computer Systems Science & Engineering》2023年第9期2947-2961,共15页IbrahimM.Alwayle Badriyya B.Al-onazi Mohamed K.Nour Khaled M.Alalayah Khadija M.Alaidarous Ibrahim Abdulrab Ahmed Amal S.Mehanna Abdelwahed Motwakel; Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2022R263);PrincessNourah bint Abdulrahman University,Riyadh,Saudi Arabia.The authors would like to thank the Deanship of Scientific Research at Umm Al-Qura University for supporting this work by Grant Code:22UQU4310373DSR58;The authors are thankful to the Deanship of ScientificResearch atNajranUniversity for funding thiswork under theResearch Groups Funding program grant code(NU/RG/SERC/11/7).; Online reviews regarding purchasing services or products offered are the main source of users’opinions.To gain fame or profit,generally,spam reviews are written to demote or promote certain targeted products or servi...; 关键词：Arabic text spam reviews machine learning deep learning white shark optimizer

Leveraging Readability and Sentiment in Spam Review Filtering Using Transformer Models: 《Computer Systems Science & Engineering》2023年第5期1439-1454,共16页Sujithra Kanmani Surendiran Balasubramanian; Online reviews significantly influence decision-making in many aspects of society.The integrity of internet evaluations is crucial for both consumers and vendors.This concern necessitates the development of effective ...; 关键词：Fraudulent SENTIMENT READABILITY BERT XLNET roberta XLMroberta

学术论文中多方法的过程结构分析研究——以我国图书情报领域为例被引量：2: 《情报理论与实践》2023年第5期193-201,143,共10页李博闻章成志; 国家社会科学基金“加快构建中国特色哲学社会科学学科体系、学术体系、话语体系”研究专项项目“新时代中国特色图情学科基本理论问题研究”的成果之一,项目编号:19VXK09。; [目的/意义]按照系统论观点,多方法研究中不同方法、技术和工具并非孤立发生作用,而是通过确立的相互关系和组织秩序,作为整体中的要素综合于具体的科学理论创立和解释过程之中。为弥补人们对多方法过程结构关注的不足,并从知识单元和...; 关键词：多方法方法论过程结构 SPAM 研究方法方法史社会网络分析

Preventing Cloud Network from Spamming Attacks Using Cloudflare and KNN: 《Computers, Materials & Continua》2023年第2期2641-2659,共19页Muhammad Nadeem Ali Arshad Saman Riaz SyedaWajiha Zahra Muhammad Rashid Shahab S.Band Amir Mosavi; Cloud computing is one of the most attractive and cost-saving models,which provides online services to end-users.Cloud computing allows the user to access data directly from any node.But nowadays,cloud security is one...; 关键词：Intrusion prevention system SPAMMING KNN classification SPAM cyber security BOTNET

E-mail Spam Classification Using Grasshopper Optimization Algorithm and Neural Networks被引量：1: 《Computers, Materials & Continua》2022年第6期4749-4766,共18页Sanaa A.A.Ghaleb Mumtazimah Mohamad Syed Abdullah Fadzli Waheed A.H.M.Ghanem; Spam has turned into a big predicament these days,due to the increase in the number of spam emails,as the recipient regularly receives piles of emails.Not only is spam wasting users’time and bandwidth.In addition,it ...; 关键词：Grasshopper optimization algorithm multilayer perceptron artificial neural network spam detection approach

Stochastic Gradient Boosting Model for Twitter Spam Detection: 《Computer Systems Science & Engineering》2022年第5期849-859,共11页K.Kiruthika Devi G.A.Sathish Kumar; In today’s world of connectivity there is a huge amount of data than we could imagine.The number of network users are increasing day by day and there are large number of social networks which keeps the users connecte...; 关键词：TWITTER SPAM stochastic gradient boosting

Pseudo NLP Joint Spam Classification Technique for Big Data Cluster被引量：2: 《Computers, Materials & Continua》2022年第4期517-535,共19页WooHyun Park Nawab Muhammad Faseeh Qureshi Dong Ryeol Shin; Spam mail classification considered complex and error-prone task in the distributed computing environment.There are various available spam mail classification approaches such as the naive Bayesian classifier,logistic ...; 关键词：NLP big data machine learning TFT-IDF spam mail

基于传感器的管道自主监控与维护系统被引量：4: 《水利技术监督》2021年第10期46-50,共5页张虹蕾; 管道应用已经成为生活中不可缺少的一部分,积极监测和频繁检查对保持管道健康至关重要。然而,管道系统一般部署在难以接近或危险环境中,导致传统监测和检查的维护系统非常昂贵。文章提出了一种新的低成本、扩展性强、可定制和自主的传...; 关键词：管道健康维护监测 SPAMMS系统

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