MEMORY

作品数：1598被引量：1522H指数：14
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相关机构：中国科学院国防科学技术大学东南大学复旦大学更多>>
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相关基金：国家自然科学基金国家重点基础研究发展计划国家高技术研究发展计划中国博士后科学基金更多>>
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Polarization-encodable photonic memory cells using nextgeneration 2D phase-change materials
《Nano Research》2025年第3期510-518,共9页Amin Shafiee Linhong Chen Mahdi Nikdast Jie Yao 
supported by the National Science Foundation(NSF)(Nos.CCF-2006788 and CNS-2046226);L.H.C.and J.Y.thank the support of Heising-Simons Faculty Fellowship.
Integration of phase-change materials(PCMs)created a unique opportunity to implement reconfigurable photonics devices that their performance can be tuned depending on the target application.Conventional PCMs such as G...
关键词：ferroelectric materials phase-change materials photonic memory optical storage cells polarization encodable photonic memories optical polarization 
Uncovering Causal Relationships for Debiased Repost Prediction Using Deep Generative Models
《Computers, Materials & Continua》2024年第12期4551-4573,共23页Wu-Jiu Sun Xiao Fan Liu 
Microblogging platforms like X(formerly Twitter)and Sina Weibo have become key channels for spreading information online.Accurately predicting information spread,such as users’reposting activities,is essential for ap...
关键词：Repost prediction causal inference causal discovery memory network 
Abnormal State Detection in Lithium-ion Battery Using Dynamic Frequency Memory and Correlation Attention LSTM Autoencoder
《Computer Modeling in Engineering & Sciences》2024年第8期1757-1781,共25页Haoyi Zhong Yongjiang Zhao Chang Gyoon Lim 
supported by“Regional Innovation Strategy(RIS)”through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(MOE)(2021RIS-002);the Technology Development Program(RS-2023-00278623)funded by the Ministry of SMEs and Startups(MSS,Korea).
This paper addresses the challenge of identifying abnormal states in Lithium-ion Battery(LiB)time series data.As the energy sector increasingly focuses on integrating distributed energy resources,Virtual Power Plants(...
关键词：Lithium-ion battery abnormal state detection autoencoder virtual power plants LSTM 
User Behavior Traffic Analysis Using a Simplified Memory-Prediction Framework
《Computers, Materials & Continua》2022年第2期2679-2698,共20页Rahmat Budiarto Ahmad A.Alqarni Mohammed YAlzahrani Muhammad Fermi Pasha Mohamed FazilMohamed Firdhous Deris Stiawan 
This research was funded by Scientific Research Deanship,Albaha University,under the Grant Number:[24/1440].
As nearly half of the incidents in enterprise security have been triggered by insiders,it is important to deploy a more intelligent defense system to assist enterprises in pinpointing and resolving the incidents cause...
关键词：Machine learning memory prediction framework insider attacks user behavior analytics 
Malware Detection for Forensic Memory Using Deep Recurrent Neural Networks
《Journal of Information Security》2020年第2期103-120,共18页Ioannis Karamitsos Aishwarya Afzulpurkar Theodore B. Trafalis 
Memory forensics is a young but fast-growing area of research and a promising one for the field of computer forensics. The learned model is proposed to reside in an isolated core with strict communication restrictions...
关键词：BiLSTM DEEP LEARNING Forensic MEMORY LSTM RNN 
Artificial trachea reconstruction with two-stage approach using memory-alloy mesh被引量：7
《Chinese Medical Journal》2003年第12期1949-1951,共3页赵凤瑞 张银合 刘世民 余建军 
关键词：tracheal reconstruction artificial trachea memory-alloy mesh 
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