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المؤلفون: E. Losson, Maryam Siadat, Alexandre Sava, Rachid Laref
المصدر: Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 11
Sensors, Vol 21, Iss 3581, p 3581 (2021)مصطلحات موضوعية: multiple linear regression, 010504 meteorology & atmospheric sciences, TP1-1185, 010501 environmental sciences, 01 natural sciences, Biochemistry, Field (computer science), Article, Analytical Chemistry, chemistry.chemical_compound, Linear regression, Calibration, Nitrogen dioxide, Sensitivity (control systems), Electrical and Electronic Engineering, Instrumentation, long term drift, 0105 earth and related environmental sciences, Remote sensing, Chemical technology, in field nitrogen dioxide monitoring, electrochemical sensors, Humidity, Particle swarm optimization, particles swarm optimization, calibration, Atomic and Molecular Physics, and Optics, Term (time), chemistry, Environmental science
وصف الملف: application/pdf
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المؤلفون: Alexandre Sava, Maryam Siadat, E. Losson, Rachid Laref
المساهمون: Laboratoire de Conception, Optimisation et Modélisation des Systèmes (LCOMS), Université de Lorraine (UL), LCOMS, Université de Lorraine, France, Research Institute for Intelligent Computer Systems de Termopil National Economic University, Ukraine
المصدر: IDAACS
2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), LCOMS, Université de Lorraine, France; Research Institute for Intelligent Computer Systems de Termopil National Economic University, Ukraine, Sep 2019, Metz, France. ⟨10.1109/IDAACS.2019.8924320⟩مصطلحات موضوعية: Air pollution monitoring, Electronic nose, Computer science, Ozone concentration, Air pollution, Oxide, medicine.disease_cause, 7. Clean energy, Automotive engineering, Field (computer science), [SPI.TRON]Engineering Sciences [physics]/Electronics, Electrochemical gas sensor, Svm regression, chemistry.chemical_compound, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], chemistry, 13. Climate action, Support Vector Machines, Gas sensors array, medicine
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf480f8433125374bd30014d39c0980d
https://doi.org/10.1109/idaacs.2019.8924320 -
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المؤلفون: Alexandre Sava, Rachid Laref, Maryam Siadat, E. Losson
المساهمون: Laboratoire de Conception, Optimisation et Modélisation des Systèmes (LCOMS), Université de Lorraine (UL)
المصدر: Sensors
Sensors, MDPI, 2018, 18 (11), pp.3716. ⟨10.3390/s18113716⟩
Sensors (Basel, Switzerland)
Sensors, Vol 18, Iss 11, p 3716 (2018)
Volume 18
Issue 11مصطلحات موضوعية: Air pollution monitoring, Computer science, Calibration (statistics), Real-time computing, Air pollution, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Sample (statistics), 02 engineering and technology, medicine.disease_cause, lcsh:Chemical technology, Gas sensors, 01 natural sciences, Biochemistry, Article, Electronic nose, Analytical Chemistry, Set (abstract data type), chemistry.chemical_compound, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], Transfer (computing), 11. Sustainability, medicine, Nitrogen dioxide, lcsh:TP1-1185, Electrical and Electronic Engineering, Instrumentation, 010401 analytical chemistry, Process (computing), Calibration transfer, 021001 nanoscience & nanotechnology, Atomic and Molecular Physics, and Optics, Support vector machine regression, 0104 chemical sciences, [SPI.TRON]Engineering Sciences [physics]/Electronics, chemistry, Kernel (statistics), Direct standardization, 0210 nano-technology
وصف الملف: application/pdf
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المؤلفون: Jean Zaraket, Michel Aillerie, E. Losson, Chafic Salame
المساهمون: Laboratoire Matériaux Optiques, Photonique et Systèmes (LMOPS), CentraleSupélec-Université de Lorraine (UL), Lebanese University [Beirut] (LU), National Council for Scientific Research = Conseil national de la recherche scientifique du Liban [Lebanon] (CNRS-L), Laboratoire de Conception, Optimisation et Modélisation des Systèmes (LCOMS), Université de Lorraine (UL)
المصدر: Energy Procedia
TREEMS
TREEMS, Sep 2018, Athènes, Greece. pp.1404-1411, ⟨10.1016/j.egypro.2018.11.305⟩مصطلحات موضوعية: Materials science, 020209 energy, Topology (electrical circuits), 02 engineering and technology, 7. Clean energy, Electrical characteristics, Automotive engineering, Stress (mechanics), Monocrystalline silicon, Thermal Stress, 020401 chemical engineering, Solar cell/module, Heat demand, Thermal, 0202 electrical engineering, electronic engineering, information engineering, Electrical Stress, 0204 chemical engineering, DLTS spectrometer, Diode, [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], Photovoltaic system, Climate change Solar cell/module, [SPI.NRJ]Engineering Sciences [physics]/Electric power, [SPI.TRON]Engineering Sciences [physics]/Electronics, [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, Forecast, Datasheet, Voltage
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المؤلفون: E. Losson, Ayat Mohammad-Razdari, Sajad Rostami, Mahdi Ghasemi-Varnamkhasti, Ali A. Ensafi, Zahra Izadi, Maryam Siadat
المصدر: Journal of Food Composition and Analysis. 82:103252
مصطلحات موضوعية: Detection limit, 0303 health sciences, Materials science, Working electrode, Chromatography, 030309 nutrition & dietetics, Aptamer, 010401 analytical chemistry, Sulfadimethoxine, 01 natural sciences, 0104 chemical sciences, Dielectric spectroscopy, 03 medical and health sciences, Linear range, medicine, Cyclic voltammetry, Biosensor, Food Science, medicine.drug
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المؤلفون: E. Losson, Kondo H. Adjallah, Alexandre Sava, Rachid Laref, Maryam Siadat
المساهمون: Laboratoire de Conception, Optimisation et Modélisation des Systèmes (LCOMS), Université de Lorraine (UL), Université de Lyon, France, Université Claude Bernard 1, France, Laboratoire AMPERE - CNRS, France, Laboratoire SATIE, France
المصدر: 2018 IEEE International Conference on Industrial Technology (ICIT)
2018 IEEE International Conference on Industrial Technology (ICIT), Université de Lyon, France; Université Claude Bernard 1, France; Laboratoire AMPERE-CNRS, France; Laboratoire SATIE, France, Feb 2018, Lyon, France. ⟨10.1109/ICIT.2018.8352372⟩
ICITمصطلحات موضوعية: Electronic nose, business.industry, 010401 analytical chemistry, Pattern recognition, 02 engineering and technology, Gas concentration, Gas sensors, Regression methods, 01 natural sciences, Regression, 0104 chemical sciences, [SPI.TRON]Engineering Sciences [physics]/Electronics, Support vector machine, Continuous monitoring, Prediction algorithms, Gas quantification, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], Partial least squares regression, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, business, Mathematics
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f21130980b51858ed4d5d95324c27870
https://hal.univ-lorraine.fr/hal-03018853 -
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المصدر: CoDIT
مصطلحات موضوعية: Engineering, Electronic nose, Artificial neural network, business.industry, Binary number, Variance (accounting), Machine learning, computer.software_genre, Backpropagation, Principal component analysis, Radial basis function, Artificial intelligence, business, computer, Test data
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::9047344af04dc02ac63db48ff62a57aa
https://doi.org/10.1109/codit.2014.6996971 -
9دورية أكاديمية
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10دورية أكاديمية
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