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Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 4, doi: 10.1007/s11783-020-1363-5
• A V2O5/TiO2 granular catalyst for simultaneous removal of NO and chlorobenzene.
Keywords: Simultaneous removal Kinetic study Performance prediction V2O5/TiO2 Graphicalabstract
Learning deep IA bidirectional intelligence Personal View
Lei XU
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 4, Pages 558-562 doi: 10.1631/FITEE.1900541
Keywords: Abstraction Least mean square error reconstruction (Lmser) Cognition Image thinking Abstract thinking
Yang Jiao, Zhan Zhang, Ting Zhang, Wen Shi, Yan Zhu, Jie Hu, Qin Zhang
Frontiers of Medicine 2020, Volume 14, Issue 4, Pages 488-497 doi: 10.1007/s11684-020-0762-0
Keywords: knowledge representation uncertain causality graphical model artificial intelligence diagnosis dyspnea
Generic, efficient, and effective deobfuscation and semantic-aware attack detection for PowerShell scripts Research Articles
Chunlin XIONG, Zhenyuan LI, Yan CHEN, Tiantian ZHU, Jian WANG, Hai YANG, Wei RUAN,chunlinxiong94@zju.edu.cn,ruanwei@zju.edu.cn
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 3, Pages 361-381 doi: 10.1631/FITEE.2000436
Keywords: PowerShell Abstract syntax tree Obfuscation and deobfuscation Malicious script detection
An intelligent IEQ monitoring and feedback system: Development and applications Article
Yang Geng,Zhongchen Zhang,Juan Yu,Hongzhong Chen,Hao Zhou,Borong Lin,Weimin Zhuang
Engineering 2022, Volume 18, Issue 11, Pages 218-231 doi: 10.1016/j.eng.2021.09.017
Keywords: Indoor environmental quality (IEQ) Sensors Continuous monitoring Graphical user interface Interactive
Toward the Next Generation of Retinal Neuroprosthesis: Visual Computation with Spikes Review
Zhaofei Yu, Jian K. Liu, Shanshan Jia, Yichen Zhang, Yajing Zheng, Yonghong Tian, Tiejun Huang
Engineering 2020, Volume 6, Issue 4, Pages 449-461 doi: 10.1016/j.eng.2020.02.004
A neuroprosthesis is a type of precision medical device that is intended to manipulate the neuronal signals of the brain in a closed-loop fashion, while simultaneously receiving stimuli from the environment and controlling some part of a human brain or body. Incoming visual information can be processed by the brain in millisecond intervals. The retina computes visual scenes and sends its output to the cortex in the form of neuronal spikes for further computation. Thus, the neuronal signal of interest for a retinal neuroprosthesis is the neuronal spike. Closed-loop computation in a neuroprosthesis includes two stages: encoding a stimulus as a neuronal signal, and decoding it back into a stimulus. In this paper, we review some of the recent progress that has been achieved in visual computation models that use spikes to analyze natural scenes that include static images and dynamic videos. We hypothesize that in order to obtain a better understanding of the computational principles in the retina, a hypercircuit view of the retina is necessary, in which the different functional network motifs that have been revealed in the cortex neuronal network are taken into consideration when interacting with the retina. The different building blocks of the retina, which include a diversity of cell types and synaptic connections—both chemical synapses and electrical synapses (gap junctions)—make the retina an ideal neuronal network for adapting the computational techniques that have been developed in artificial intelligence to model the encoding and decoding of visual scenes. An overall systems approach to visual computation with neuronal spikes is necessary in order to advance the next generation of retinal neuroprosthesis as an artificial visual system.
Keywords: Brain–machine interface Artificial intelligence Deep learning Spiking neural network Probabilistic graphical
Title Author Date Type Operation
Simultaneous removal of NO and chlorobenzene on VO/TiO granular catalyst: Kinetic study and performance prediction
Journal Article
Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graph for the differential diagnosis of dyspnea
Yang Jiao, Zhan Zhang, Ting Zhang, Wen Shi, Yan Zhu, Jie Hu, Qin Zhang
Journal Article
Generic, efficient, and effective deobfuscation and semantic-aware attack detection for PowerShell scripts
Chunlin XIONG, Zhenyuan LI, Yan CHEN, Tiantian ZHU, Jian WANG, Hai YANG, Wei RUAN,chunlinxiong94@zju.edu.cn,ruanwei@zju.edu.cn
Journal Article
An intelligent IEQ monitoring and feedback system: Development and applications
Yang Geng,Zhongchen Zhang,Juan Yu,Hongzhong Chen,Hao Zhou,Borong Lin,Weimin Zhuang
Journal Article