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A Review of Recent Advances and Application for Spiking Neural Networks

Liu Hao , Chai Hongfeng , Sun Quan , Yun Xin , Li Xin

Strategic Study of CAE 2023, Volume 25, Issue 6,   Pages 61-79 doi: 10.15302/J-SSCAE-2023.06.011

Abstract:  Moreover, continuous research and breakthroughs of brain-inspired systems and control theories

Keywords： spiking neural network     brain-inspired computing     learning algorithm     neuromorphic chip     application    

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Intelligence Originating from Human Beings and Expanding in Industry— A View on the Development of Artificial Intelligence

Jiang Changjun, Wang Junli

Strategic Study of CAE 2018, Volume 20, Issue 6,   Pages 93-100 doi: 10.15302/J-SSCAE-2018.06.015

Abstract: to simulate information storage and processing mechanisms and other intelligent behaviors of a human braindevelopment of the new generation of information technology, such as the Internet, big data, cloud computingIn this paper, the historical integration and evolution of computer science, control science, brain-inspiredof an intelligent computing model.theory of the Internet, the integration of AI calculus and computation, the model and mechanism of brain-inspired

Keywords： artificial intelligence     human brain intelligence     brain-inspired intelligence     intelligence development    

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Novel quantum-inspired firefly algorithm for optimal power quality monitor placement

Ling Ai WONG,Hussain SHAREEF,Azah MOHAMED,Ahmad Asrul IBRAHIM

Frontiers in Energy 2014, Volume 8, Issue 2,   Pages 254-260 doi: 10.1007/s11708-014-0302-1

Abstract: The application of a quantum-inspired firefly algorithm was introduced to obtain optimal power quality

Keywords： quantum-inspired binary firefly algorithm     topological monitor reach area     power quality    

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Creative design inspired by biological knowledge: Technologies and methods

Runhua TAN, Wei LIU, Guozhong CAO, Yuan SHI

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1,   Pages 1-14 doi: 10.1007/s11465-018-0511-0

Abstract: To identify the technologies and methods that can facilitate the development of biologically inspiredbiological-knowledge-based theories and methods and examines the application of biological-knowledge-inspiredresearch thoroughly examines the four dimensions of key technologies that underlie the biologically inspired

Keywords： creative design     biologically inspired methods     key technologies    

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Outcomes of patients awaiting lung transplantation after the implementation of donation after brain death

Frontiers of Medicine 2022, Volume 16, Issue 5,   Pages 760-765 doi: 10.1007/s11684-021-0899-5

Abstract: outcomes of patients awaiting lung transplantation (LTx) after the implementation of donation after brain

Keywords： lung transplantation     donation after brain death     waitlist    

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Cooling strategies and transport theories for brain hypothermia resuscitation

LIU Jing

Frontiers in Energy 2007, Volume 1, Issue 1,   Pages 32-57 doi: 10.1007/s11708-007-0004-z

Abstract: The brain is one of the most important organs in a biological body whose normal function depends heavilyUnlike skeletal muscles that can survive for hours without oxygen, neuron cells in the brain are easilyThe reason can be attributed to the decreased metabolic requirements of the cold brain tissues, whichallows a longer duration for the brain to endure reduced oxygen delivery.Meanwhile, some future efforts worth pursuing within the area of brain cooling are suggested.

Keywords： mathematical     interruption     hypothermia     metabolic     generation    

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Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 665-681 doi: 10.1007/s11709-021-0713-0

Abstract: The scouring phenomenon is one of the major problems experienced in hydraulic engineering. In this study, an adaptive neuro-fuzzy inference system is hybridized with several evolutionary approaches, including the ant colony optimization, genetic algorithm, teaching-learning-based optimization, biogeographical-based optimization, and invasive weed optimization for estimating the long contraction scour depth. The proposed hybrid models are built using non-dimensional information collected from previous studies. The proposed hybrid intelligent models are evaluated using several statistical performance metrics and graphical presentations. Besides, the uncertainty of models, variables, and data are inspected. Based on the achieved modeling results, adaptive neuro-fuzzy inference system–biogeographic based optimization (ANFIS-BBO) provides superior prediction accuracy compared to others, with a maximum correlation coefficient (Rtest = 0.923) and minimum root mean square error value (RMSEtest = 0.0193). Thus, the proposed ANFIS-BBO is a capable cost-effective method for predicting long contraction scouring, thus, contributing to the base knowledge of hydraulic structure sustainability.

Keywords： long contraction scour     prediction     uncertainty     ANFIS model     meta-heuristic algorithm    

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Tramadol reinforces antidepressant effects of ketamine with increased levels of brain-derived neurotrophic

Chun Yang, Xiaomin Li, Nan Wang, Shixia Xu, Jianjun Yang, Zhiqiang Zhou

Frontiers of Medicine 2012, Volume 6, Issue 4,   Pages 411-415 doi: 10.1007/s11684-012-0226-2

Abstract: Brain-derived neurotrophic factor (BDNF) is an important biomarker for mood disorders and tropomyosin-related

Keywords： tramadol     ketamine     antidepressant     brain-derived neurotrophic factor     tropomyosin-related kinase B    

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The influence of brain death on donor liver and the potential mechanisms of protective intervention

Shui-Jun ZHANG, Tao WANG

Frontiers of Medicine 2011, Volume 5, Issue 1,   Pages 8-14 doi: 10.1007/s11684-011-0109-y

Abstract:

Brain-dead donors have become one of the main sources of organs for transplantation in Western countriesExperimental studies have confirmed the inferior graft survival of livers from brain-dead donors comparedStudies conducted in the past 10 years have shown that brain death is associated with effects on theHowever, whether the decrease in the viability of donor organs is caused by brain death or by the eventsbefore and after brain death remains uncertain.

Keywords： brain death     donor liver    

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Surgical robotics: A look-back of latest advancement and bio-inspired ways to tackle existing challenges

Yang LIU, Jing LIU

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4,   Pages 376-384 doi: 10.1007/s11465-012-0352-1

Abstract: an exhaustive evaluation, we would emphasize more on the new insight by digesting the emerging bio-inspiredAs an alternative, bio-inspired methods or materials may shed light on new innovations.

Keywords： minimally invasive surgery     surgical robotics     haptic feedback     miniaturization     bio-inspiration     bionics    

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: this paper explores a decision-tree-structured neural network, that is, the deep convolutional tree-inspired

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network     decision tree    

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Various brain-eating amoebae: the protozoa, the pathogenesis, and the disease

Frontiers of Medicine 2021, Volume 15, Issue 6,   Pages 842-866 doi: 10.1007/s11684-021-0865-2

Abstract: Considering that subsequent therapies are also affected, all these brain infections cause significant

Keywords： free-living amoebae     central nervous system infection     primary amoebic meningoencephalitis     granulomatous amoebic encephalitis    

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Edge Computing Technology: Development and Countermeasures

Hong Xuehai and Wang Yang

Strategic Study of CAE 2018, Volume 20, Issue 2,   Pages 20-26 doi: 10.15302/J-SSCAE-2018.02.004

Abstract:

Edge computing is an emerging technology that reduces transmission delaysand bandwidth consumption by placing computing, storage, bandwidth, applications, and other resourcesMobile terminals, Internet of things, and other devices provide the necessary front-end support for computingThis paper discusses the concept of edge computing, key problems that require solutions, main advancesin edge computing, influence of edge computing developments, and opportunities and development countermeasures

Keywords： cloud computing     edge computing     fog computing     mobile edge computing     internet of things     front-end    

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concrete compressive strength prediction using adaptive neuro-fuzzy inference system optimized by nature-inspired

Ahmad SHARAFATI, H. NADERPOUR, Sinan Q. SALIH, E. ONYARI, Zaher Mundher YASEEN

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1,   Pages 61-79 doi: 10.1007/s11709-020-0684-6

Abstract: Concrete compressive strength prediction is an essential process for material design and sustainability. This study investigates several novel hybrid adaptive neuro-fuzzy inference system (ANFIS) evolutionary models, i.e., ANFIS–particle swarm optimization (PSO), ANFIS–ant colony, ANFIS–differential evolution (DE), and ANFIS–genetic algorithm to predict the foamed concrete compressive strength. Several concrete properties, including cement content (C), oven dry density (O), water-to-binder ratio (W), and foamed volume (F) are used as input variables. A relevant data set is obtained from open-access published experimental investigations and used to build predictive models. The performance of the proposed predictive models is evaluated based on the mean performance (MP), which is the mean value of several statistical error indices. To optimize each predictive model and its input variables, univariate (C, O, W, and F), bivariate (C–O, C–W, C–F, O–W, O–F, and W–F), trivariate (C–O–W, C–W–F, O–W–F), and four-variate (C–O–W–F) combinations of input variables are constructed for each model. The results indicate that the best predictions obtained using the univariate, bivariate, trivariate, and four-variate models are ANFIS–DE– (O) (MP= 0.96), ANFIS–PSO– (C-O) (MP= 0.88), ANFIS–DE– (O–W–F) (MP= 0.94), and ANFIS–PSO– (C–O–W–F) (MP= 0.89), respectively. ANFIS–PSO– (C–O) yielded the best accurate prediction of compressive strength with an MP value of 0.96.

Keywords： foamed concrete     adaptive neuro fuzzy inference system     nature-inspired algorithms     prediction of compressive    

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Biologically inspired model of path integration based on head direction cells and grid cells

Yang ZHOU,De-wei WU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 435-448 doi: 10.1631/FITEE.1500364

Abstract: Some neurons in the brain of freely moving rodents show special firing pattern.To provide a bionic approach for the vehicle to achieve path integration, we present a biologically inspired

Keywords： Head direction cells (HDCs)     Grid cells (GCs)     Path integration     Bionic navigation    

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Title Author Date Type Operation

A Review of Recent Advances and Application for Spiking Neural Networks

Liu Hao , Chai Hongfeng , Sun Quan , Yun Xin , Li Xin

Journal Article

Intelligence Originating from Human Beings and Expanding in Industry— A View on the Development of Artificial Intelligence

Jiang Changjun, Wang Junli

Journal Article

Novel quantum-inspired firefly algorithm for optimal power quality monitor placement

Ling Ai WONG,Hussain SHAREEF,Azah MOHAMED,Ahmad Asrul IBRAHIM

Journal Article

Creative design inspired by biological knowledge: Technologies and methods

Runhua TAN, Wei LIU, Guozhong CAO, Yuan SHI

Journal Article

Outcomes of patients awaiting lung transplantation after the implementation of donation after brain death

Journal Article

Cooling strategies and transport theories for brain hypothermia resuscitation

LIU Jing

Journal Article

Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related

Journal Article

Tramadol reinforces antidepressant effects of ketamine with increased levels of brain-derived neurotrophic

Chun Yang, Xiaomin Li, Nan Wang, Shixia Xu, Jianjun Yang, Zhiqiang Zhou

Journal Article

The influence of brain death on donor liver and the potential mechanisms of protective intervention

Shui-Jun ZHANG, Tao WANG

Journal Article

Surgical robotics: A look-back of latest advancement and bio-inspired ways to tackle existing challenges

Yang LIU, Jing LIU

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Journal Article

Various brain-eating amoebae: the protozoa, the pathogenesis, and the disease

Journal Article

Edge Computing Technology: Development and Countermeasures

Hong Xuehai and Wang Yang

Journal Article

concrete compressive strength prediction using adaptive neuro-fuzzy inference system optimized by nature-inspired

Ahmad SHARAFATI, H. NADERPOUR, Sinan Q. SALIH, E. ONYARI, Zaher Mundher YASEEN

Journal Article

Biologically inspired model of path integration based on head direction cells and grid cells

Yang ZHOU,De-wei WU

Journal Article