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

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:

Artificial Intelligence (AI) aims to simulate information storage andlevel of intelligence.In this paper, the historical integration and evolution of computer science, control science, brain-inspiredintelligence, human brain intelligence, and other disciplines or fields closely related to AI are analyzedtheory 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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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 theoriesestablishment of large-scale SNN models and are expected to broaden the application prospect of artificial intelligence

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

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From Brain Science to Artificial Intelligence Review

Jingtao Fan, Lu Fang, Jiamin Wu, Yuchen Guo, Qionghai Dai

Engineering 2020, Volume 6, Issue 3,   Pages 248-252 doi: 10.1016/j.eng.2019.11.012

Abstract: font-family:"Times New Roman",serif">Reviewing the history of the development of artificial intelligenceand its applications has surpassed expectations, an insurmountable gap remains between AI and human intelligenceIt is urgent to establish a bridge between brain science and AI research, including a link from brainscience to AI, and a connection from knowing the brain to simulating the brain.The first steps toward this goal are to explore the secrets of brain science by studying new brain-imaging

Keywords： Artificial intelligence     Brain science    

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Dolphin swarm algorithm Article

Tian-qi WU,Min YAO,Jian-hua YANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 8,   Pages 717-729 doi: 10.1631/FITEE.1500287

Abstract: By adopting the distributed problem-solving strategy, swarm intelligence algorithms have been successfullyCombining these biological characteristics and living habits with swarm intelligence and bringing them

Keywords： Swarm intelligence     Bio-inspired algorithm     Dolphin     Optimization    

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A platform of digital brain using crowd power Article

Dongrong XU, Fei DAI, Yue LU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 78-90 doi: 10.1631/FITEE.1700800

Abstract: A powerful platform of digital brain is proposed using crowd wisdom for brain research, based on thecomputational artificial intelligence model of synthesis reasoning and multi-source analogical generatingThe design of the platform aims to make it a comprehensive brain database, a brain phantom generator,a brain knowledge base, and an intelligent assistant for research on neurological and psychiatric diseasesand brain development.

Keywords： Artificial intelligence     Digital brain     Synthesis reasoning     Multi-source analogical generating     Crowd wisdom    

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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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Title Author Date Type Operation

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

Jiang Changjun, Wang Junli

Journal Article

A Review of Recent Advances and Application for Spiking Neural Networks

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

Journal Article

From Brain Science to Artificial Intelligence

Jingtao Fan, Lu Fang, Jiamin Wu, Yuchen Guo, Qionghai Dai

Journal Article

Dolphin swarm algorithm

Tian-qi WU,Min YAO,Jian-hua YANG

Journal Article

A platform of digital brain using crowd power

Dongrong XU, Fei DAI, Yue LU

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