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Artificial intelligence in radiotherapy: a technological review

Ke Sheng

Frontiers of Medicine 2020, Volume 14, Issue 4, Pages 431-449 doi: 10.1007/s11684-020-0761-1

Abstract: , and robotics, created challenges and opportunities for the next breakthrough, in which artificial intelligenceThis review describes the RT workflow and identifies areas, including imaging, treatment planning, quality

Keywords： artificial intelligence radiation therapy medical imaging treatment planning quality assurance outcome

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On Qian Xuesen's Thought About Science and Fine Arts

Qian Xuemin

Strategic Study of CAE 2001, Volume 3, Issue 11, Pages 1-9

Abstract: Scientific knowledge, scientific thinking (quantity intelligence) and artistic (including literary) knowledge, artistic thinking (quality intelligence) complement each other and promote each other, which is the

Keywords： quantity intelligence quality intelligence scientific thinking artistic thinking metasynthetic wisdom

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INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 4, Pages 648-653 doi: 10.15302/J-FASE-2023505

Abstract: Therefore, this article proposes an interactive knowledge learning approach using artificial intelligence

Keywords： artificial intelligence extension system non-point source pollution control smallholders fertilization

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From total quality management to Quality 4.0: A systematic literature review and future research agenda

Frontiers of Engineering Management 2023, Volume 10, Issue 2, Pages 191-205 doi: 10.1007/s42524-022-0243-z

Abstract: Quality 4.0 is an emerging concept that has been increasingly appreciated because of the intensificationIt deals with aligning quality management practices with the emergent capabilities of Industry 4.0 toimprove cost, time, and efficiency and increase product quality.concept, Quality 4.0 implementation, quality management in Quality 4.0, and Quality 4.0 model and applicationthe quality curve theory, and highlight future research opportunities.

Keywords： quality management Quality 4.0 Industry 4.0 literature review predictive quality

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Artificial intelligence in gastroenterology: where are we heading?

Joseph JY Sung, Nicholas CH Poon

Frontiers of Medicine 2020, Volume 14, Issue 4, Pages 511-517 doi: 10.1007/s11684-020-0742-4

Abstract: Artificial intelligence (AI) is coming to medicine in a big wave.

Keywords： artificial intelligence endoscopy robotics gastrointestinal diseases

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The Tong Test: Evaluating Artificial General Intelligence Through Dynamic Embodied Physical and Social

Yujia Peng,Jiaheng Han,Zhenliang Zhang,Lifeng Fan,Tengyu Liu,Siyuan Qi,Xue Feng,Yuxi Ma,Yizhou Wang,Song-Chun Zhu,

Engineering doi: 10.1016/j.eng.2023.07.006

Abstract: The release of the generative pre-trained transformer (GPT) series has brought artificial general intelligence(AGI) to the forefront of the artificial intelligence (AI) field once again.

Keywords： Artificial general intelligence Artificial intelligence benchmark Artificial intelligence evaluation Embodied artificial intelligence Value alignment Turing test Causality

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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 andmechanisms and other intelligent behaviors of a human brain, so that the machine has a certain level of intelligencepaper, the historical integration and evolution of computer science, control science, brain-inspired intelligence, human brain intelligence, and other disciplines or fields closely related to AI are analyzed in depthInternet, the integration of AI calculus and computation, the model and mechanism of brain-inspired intelligence

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

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Heading toward Artificial Intelligence 2.0

Yunhe Pan

Engineering 2016, Volume 2, Issue 4, Pages 409-413 doi: 10.1016/J.ENG.2016.04.018

Abstract: space, and cyberspace, the information environment related to the current development of artificial intelligence

Keywords： Artificial intelligence 2.0 Big data Crowd intelligence Cross-media Human-machine hybrid-augmented intelligence

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HIGH-PERFORMANCE COMPUTATION AND ARTIFICIAL INTELLIGENCE IN PESTICIDE DISCOVERY: STATUS AND OUTLOOK

Frontiers of Agricultural Science and Engineering 2022, Volume 9, Issue 1, Pages 150-154 doi: 10.15302/J-FASE-2021419

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Research and establishment of enterprise quality metadata standard

SONG Han, LI Jie, ZHANG Genbao

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 1, Pages 106-110 doi: 10.1007/s11465-008-0019-0

Abstract: Enabling quality managers to utilize and manage quality data efficiently under modern quality managementcircumstances is a primary issue for improving enterprise quality management.A concept of quality metadata is proposed in this paper, which can help quality managers gain a deeperunderstanding of various features of quality data and establish a more stable foundation for furtherThe procedure of establishing quality metadata standards is emphasized in the paper, and the content

Keywords： enterprise quality foundation description quality management primary

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The linkage mechanism between urban intelligence and low carbon innovation

Ming LIN

Frontiers of Engineering Management 2019, Volume 6, Issue 4, Pages 584-586 doi: 10.1007/s42524-019-0076-6

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Foxtail millet: nutritional and eating quality, and prospects for genetic improvement

Lu HE,Bin ZHANG,Xingchun WANG,Hongying LI,Yuanhuai HAN

Frontiers of Agricultural Science and Engineering 2015, Volume 2, Issue 2, Pages 124-133 doi: 10.15302/J-FASE-2015054

Abstract: more important than ever to develop breeding strategies that facilitate the increasing demand for high qualityHere we review research on foxtail millet quality evaluation, appearance, cooking and eating qualityimportant crop, outline current status of breeding of foxtail millet, and make suggestions to improve grain quality

Keywords： foxtail millet grain quality quality evaluation breeding for quality

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A review of hydrological/water-quality models

Liangliang GAO,Daoliang LI

Frontiers of Agricultural Science and Engineering 2014, Volume 1, Issue 4, Pages 267-276 doi: 10.15302/J-FASE-2014041

Abstract: Water quality models are important in predicting the changes in surface water quality for environmentalA range of water quality models are wildly used, but every model has its advantages and limitations forThe aim of this review is to provide a guide to researcher for selecting a suitable water quality modelEight well known water quality models were selected for this review: SWAT, WASP, QUALs, MIKE 11, HSPFso combined models are needed to obtain the most appropriate results, (2) application of artificial intelligence

Keywords： water quality models applications future trends

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Evaluation of ICUs and weight of quality control indicators: an exploratory study based on Chinese ICUquality data from 2015 to 2020

Frontiers of Medicine 2023, Volume 17, Issue 4, Pages 675-684 doi: 10.1007/s11684-022-0970-x

Abstract: This study aimed to explore key quality control factors that affected the prognosis of intensive careWe found that 15 initially established quality control indicators were good predictors of patient prognosisdifferent weights of the core elements associated with the 15 indicators, we developed an integrated qualityThis evidence-based quality scoring system will help in assessing the key elements of quality managementand establish a foundation for further optimization of the quality control indicator system.

Keywords： critical care medicine quality control evaluation exploratory factor analysis (EFA) model

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Impact of energy structure adjustment on air quality: a case study in Beijing, China

Bin ZHAO, Jiayu XU, Jiming HAO

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 3, Pages 378-390 doi: 10.1007/s11783-011-0357-8

Abstract: structure is of strategic importance to the reduction of carbon intensity and the improvement of air qualityutilized the Mesoscale Modeling System Generation 5 (MM5) and the Models-3/Community Multiscale Air QualityModel (CMAQ) to evaluate the impact of these measures on air quality.The air quality impacts of different scenarios in 2020 resemble each other, indicating that the potentialof air quality improvement due to structure adjustment in power plants and heating sectors is limited

Keywords： Beijing energy structure adjustment air quality Community Multiscale Air Quality Model (CMAQ) scenario