《IEEE SIGNAL PROCESSING LETTERS》 这是IEEE旗下的1本专注于电子通信研究的SCI期刊。收稿较为广泛,且目前已经稳定检索超30年,无黑无预警。 来源:CCF推荐目录 注:后台回复【CCF】,一键领取最新目录 虽该期刊影响因子数值处于相对低位,但是却位于CCF-C类。且期刊发文量呈现显著增长趋势,投稿难度也有所降低,同领域的...
小编点评:SPL隶属于IEEE出版社旗下,专注于图像信号处理,类似的期刊还有《IEEE Signal Processing Magazine》、《IEEE Transactions on Signal Processing》,不过这两本期刊的投稿难度还是略大于SPL。 目前本刊正处于扩刊状态,投稿难度较小,并且还位于CCF-C类,总的来说本刊还是极具性价比的! 期刊匹配及科研热点,敬请...
49 、IEEE Transactions on Signal Processing • 影响因子:4.6 • 期刊分区:JCR1区,中科院2区-Top • 自引率:8.7% 🌟作者经验:年发文285篇,TSP侧重信号处理理论,5-10个月录用 50 、IEEE Transactions on Terahertz Science and Technology • 影响因子:3.9 • 期刊分区:JCR1/2区,中科院2区 • ...
18 、IEEE Signal Processing Letters • 影响因子:3.2 • 期刊分区:JCR2区,中科院2区 • 自引率:12.5% 作者经验:年发文366篇,最快51天录用,一般5-8个月录用 19 、IEEE Transactions on Aerospace and Electronic Systems • 影响因子:5.1 • 期刊分区:JCR1区,中科院2区-Top • 自引率:13.7% 作...
CCFCOREQUALIS简称全称截稿日期通知日期会议日期 IC3'International Cognitive Cities Conference2018-04-152018-05-152018-08-07 ICICS'International Conference on Information, Communications and Signal Processing2015-07-152015-08-152015-12-02 NMCOInternational Conference on Networks, Mobile Communication2022-05-28202...
先后担任包括CCF推荐A类期刊IEEE Trans. on Image Processing (IF=11.041)，国际权威期刊IEEE Trans. on Neural Networks and Learning Systems (IF=14.255)等多个国际SCI期刊编委AE。入选理由：对计算机视觉在视频分析和视觉理解方面的贡献。张涛 清华大学自动化系系主任、信息科学技术学院副院长、智能无人系统研究...
近日,电光学院李骏教授课题组韦康博士生的论文“Federated Learning With Differential Privacy: Algorithms and Performance Analysis”荣获2022 IEEE信号处理学会最佳论文奖(2022 IEEE Signal Processing Society Best Paper Award)。该论文发表于IEEE T...
64 IEEE Transactions on Information Forensics and Security 3 1.835 信息安全领域,CCF划定的顶级期刊,极为难中。国内极少能中的。终极奋斗目标!知道就行了啊,10%以内 65 IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 2 2.929
征稿 Scope The IEEE Transactions on Signal Processing covers novel theory, algorithms, performance analyses and applications of techniques for the processing, understanding, learning, retrieval, mining, and extraction of information from signals. The term “signal” includes, among others, audio, video,...
signal processing, information retrieval, databases, cloud computing, computer vision, natural language processing and etc. Data Science is on the essence of deriving valuable insights from data. It is emerging to meet the challenges of processing very large datasets, i.e. Big Data, with the expl...