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A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 3, doi: 10.1007/s11783-021-1472-9

Abstract:

• A spectral machine learning approach is proposed for predicting mixed

Keywords： Antibiotic contamination     Spectral detection     Machine learning    

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A new and best approach for early detection of rotor and stator faults in induction motors coupled to

Abderrahim ALLAL,Boukhemis CHETATE

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 176-191 doi: 10.1007/s11708-015-0386-2

Abstract: Secondly, the proposed PVPA was calculated to show the distinguishing spectral signatures of each default

Keywords： induction motor     incipient broken bar     extended Park’s vector approach     spectral analysis     inter-turn short-circuit    

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Applying the spectral stochastic finite element method in multiple-random field RC structures

Abbas YAZDANI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4,   Pages 434-447 doi: 10.1007/s11709-022-0820-6

Abstract: This paper uses the spectral stochastic finite element method (SSFEM) for analyzing reinforced concrete

Keywords： uncertainty     spectral stochastic finite element method     correlation length     reliability assessment     reinforced    

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Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet

Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 406-419 doi: 10.1007/s11465-017-0419-0

Abstract: the periodic impulsive components induced by a localized defect are hard to extract, and the fault detectionthe fault feature of planet gear effectively, we propose a novel feature extraction method based on spectralFirstly, the spectral kurtosis (SK) and kurtogram of raw vibration signals are computed and exploited

Keywords： wind turbine     planet gear fault     feature extraction     spectral kurtosis     time wavelet energy spectrum    

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A Miniature Meta-Optical System for Reconfigurable Wide-Angle Imaging and Polarization-Spectral Detection

Fei Zhang,Minghao Liao,Mingbo Pu,Yinghui Guo,Lianwei Chen,Xiong Li,Qiong He,Tongtong Kang,Xiaoliang Ma,Yuan Ke,Xiangang Luo,

Engineering doi: 10.1016/j.eng.2023.07.008

Abstract: Wide-angle imaging and spectral detection play vital roles in tasks such as target tracking, object classificationHere, we propose a novel concept to realize reconfigurable dual-mode detection based on electrical-controlproof-of-concept demonstration, the simultaneous implementation of wide-angle imaging and polarization-spectraldetection in a miniature shared-aperture meta-optical system is realized for the first time via the(lp·mm−1; ∼80 nm) for an imaging (spectral) mode from 8 to 14 μm.

Keywords： Metasurfaces     Reconfigurable     Imaging     Spectral    

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Nongray radiation from gas and soot mixtures in planar plates based on statistical narrow-band spectral

Huaqiang CHU, Qiang CHENG, Huaichun ZHOU, Fengshan LIU

Frontiers in Energy 2011, Volume 5, Issue 2,   Pages 149-158 doi: 10.1007/s11708-010-0124-8

Abstract: Based on the statistical narrow-band (SNB) spectral model with an exponential-tailed inverse intensity

Keywords： soot     combustion     SNB model     nongray radiation    

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Application of spectral technology in flame measurement

Jiaxun LIU, Xiaoshu CAI, Zenghao ZHU, Huinan YANG

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 138-143 doi: 10.1007/s11708-013-0283-5

Abstract: Spectral technology has become an important detection method due to its advantages such as non-intrusiveIn this paper, two applications of spectral technology in thermal detection were proposed.Then, a spectroscopic method for composition detection of blended fuels was proposed based on the emissivity

Keywords： spectrum     emissivity measurement     component of fuel     near-infrared spectrometer    

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Spectral characteristics of plant communities from salt marshes: A case study from Chongming Dongtan,

ZHANG Liquan, GAO Zhanguo, Armitage Richard, Kent Martin

Frontiers of Environmental Science & Engineering 2008, Volume 2, Issue 2,   Pages 187-197 doi: 10.1007/s11783-008-0004-1

Abstract: The spectral reflectance of recently formed salt marshes at the mouth of the Yangtze River, which areSpectral data were processed concerning reflectance, and the averaged reflectance values for each samplewere re-analysed to correspond to a 12-waveband bandset of the Compact Airborne Spectral Imager.The spectral data were summarised using principal components analysis (PCA) and the relationships betweenthe vegetation composition, and the PCA axes of spectral data were examined.

Keywords： Spectral     multi-seasonal hyperspectral     invasive     JR     re-analysed    

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Spectral element modeling based structure piezoelectric impedance computation and damage identification

Zhigang GUO, Zhi SUN

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 4,   Pages 458-464 doi: 10.1007/s11709-011-0133-7

Abstract: The basic principle of impedance based damage detection is structural impedance will vary with the occurrenceThe numerical model is set up using the spectral element method, which is promised to be of high numerical

Keywords： PZT     piezoelectric impedance     optimization     spectral element     damage identification    

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Technology of Measurement and Control by Welding Arc Spectral Information and Its Application

Li Junyue,Yang Yunqiang,Li Huan,Zhang Xiaonan,Yang Lijun

Strategic Study of CAE 2001, Volume 3, Issue 7,   Pages 21-29

Abstract:

Welding arc is full of spectral information.situation of the research on this field, expounded the principle of measurement and control by welding arc spectralinformation, described the application situation of welding arc spectral information, for example, theAt the same time, the authors have also introduced the application of arc spectral information in the

Keywords： spectral information     welding arc     plasma     diagnosis     automation    

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An anchor-based spectral clustering method None

Qin ZHANG, Guo-qiang ZHONG, Jun-yu DONG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1385-1396 doi: 10.1631/FITEE.1700262

Abstract:

Spectral clustering is one of the most popular and important clustering methods in pattern recognitionTo address this problem, we propose a novel method called anchor-based spectral clustering (ASC) by employingBased on this mapping matrix, it is easy to approximate the spectral embedding of the original data.The proposed method, ASC, is compared to the classical spectral clustering and two state-of-the-art acceleratingExperimental results show that ASC is consistently faster than the classical spectral clustering with

Keywords： Clustering     Spectral clustering     Graph Laplacian     Anchors    

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Spectral reflectance indices as proxies for yield potential and heat stress tolerance in spring wheat

Caiyun LIU, Francisco PINTO, C. Mariano COSSANI, Sivakumar SUKUMARAN, Matthew P. REYNOLDS

Frontiers of Agricultural Science and Engineering 2019, Volume 6, Issue 3,   Pages 296-308 doi: 10.15302/J-FASE-2019269

Abstract:

The application of spectral reflectance indices (SRIs) as proxies to screen for yield potential (YP

Keywords： genome-wide association study (GWAS)     heat tolerance     spectral reflectance     spring wheat    

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Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Frontiers in Energy 2019, Volume 13, Issue 3,   Pages 522-538 doi: 10.1007/s11708-018-0562-2

Abstract: This paper proposes the use of a signal detection theory (SDT), fuzzy detection theory (FDT), and chi-square

Keywords： thermostats     perceptions     beliefs     signal detection theory (SDT)     fuzzy signal detection theory (FSDT)     chi-square    

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Advances in airborne microorganisms detection using biosensors: A critical review

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 3, doi: 10.1007/s11783-021-1420-8

Abstract: In recent years, the detection technology for airborne microorganisms has developed rapidly; it can be

Keywords： Biosensor     Airborne microorganisms     Microbiological detection technology    

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Recent advances in SERS detection of perchlorate

Jumin Hao, Xiaoguang Meng

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 448-464 doi: 10.1007/s11705-017-1611-9

Abstract: Development of novel detection methods for perchlorate with the potential for field use has been an urgentperchlorate in water and other media with an emphasis on the development of SERS substrates for perchlorate detection

Keywords： perchlorate     SERS     detection     substrate     modification     nanostructure    

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Title Author Date Type Operation

A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

Journal Article

A new and best approach for early detection of rotor and stator faults in induction motors coupled to

Abderrahim ALLAL,Boukhemis CHETATE

Journal Article

Applying the spectral stochastic finite element method in multiple-random field RC structures

Abbas YAZDANI

Journal Article

Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet

Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU

Journal Article

A Miniature Meta-Optical System for Reconfigurable Wide-Angle Imaging and Polarization-Spectral Detection

Fei Zhang,Minghao Liao,Mingbo Pu,Yinghui Guo,Lianwei Chen,Xiong Li,Qiong He,Tongtong Kang,Xiaoliang Ma,Yuan Ke,Xiangang Luo,

Journal Article

Nongray radiation from gas and soot mixtures in planar plates based on statistical narrow-band spectral

Huaqiang CHU, Qiang CHENG, Huaichun ZHOU, Fengshan LIU

Journal Article

Application of spectral technology in flame measurement

Jiaxun LIU, Xiaoshu CAI, Zenghao ZHU, Huinan YANG

Journal Article

Spectral characteristics of plant communities from salt marshes: A case study from Chongming Dongtan,

ZHANG Liquan, GAO Zhanguo, Armitage Richard, Kent Martin

Journal Article

Spectral element modeling based structure piezoelectric impedance computation and damage identification

Zhigang GUO, Zhi SUN

Journal Article

Technology of Measurement and Control by Welding Arc Spectral Information and Its Application

Li Junyue,Yang Yunqiang,Li Huan,Zhang Xiaonan,Yang Lijun

Journal Article

An anchor-based spectral clustering method

Qin ZHANG, Guo-qiang ZHONG, Jun-yu DONG

Journal Article

Spectral reflectance indices as proxies for yield potential and heat stress tolerance in spring wheat

Caiyun LIU, Francisco PINTO, C. Mariano COSSANI, Sivakumar SUKUMARAN, Matthew P. REYNOLDS

Journal Article

Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Journal Article

Advances in airborne microorganisms detection using biosensors: A critical review

Journal Article

Recent advances in SERS detection of perchlorate

Jumin Hao, Xiaoguang Meng

Journal Article