Literatura académica sobre el tema "Capteur IR mobile"
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Artículos de revistas sobre el tema "Capteur IR mobile"
A.M. Prasanna Kumar y Bharathi Gururaj. "Deterrence of Piracy Employing IR Transmitter and Steganography System". ACS Journal for Science and Engineering 1, n.º 2 (9 de septiembre de 2021): 32–40. http://dx.doi.org/10.34293/acsjse.v1i2.12.
Texto completoMohd Nasir, Haslinah, Noor Mohd Ariff Brahin, Farees Ezwan Mohd Sani @ Ariffin, Mohd Syafiq Mispan y Nur Haliza Abd Wahab. "AI Educational Mobile App using Deep Learning Approach". JOIV : International Journal on Informatics Visualization 7, n.º 3 (10 de septiembre de 2023): 952. http://dx.doi.org/10.30630/joiv.7.3.1247.
Texto completoNagarajappa, Sandesh y Shaleen Vyas. "Smartphone assisted oral health data recording – an android based software application development". Medicine and Pharmacy Reports 94, n.º 3 (20 de julio de 2021): 333–40. http://dx.doi.org/10.15386/mpr-1467.
Texto completoMadden, Jamie M., Simon More, Conor Teljeur, Justin Gleeson, Cathal Walsh y Guy McGrath. "Population Mobility Trends, Deprivation Index and the Spatio-Temporal Spread of Coronavirus Disease 2019 in Ireland". International Journal of Environmental Research and Public Health 18, n.º 12 (10 de junio de 2021): 6285. http://dx.doi.org/10.3390/ijerph18126285.
Texto completoIstiaque Ahmed, Kazi, Mohamed Hadi Habaebi y Md Rafiqul Islam. "Smartphone aided real-time blood vein detection system". Bulletin of Electrical Engineering and Informatics 8, n.º 3 (1 de septiembre de 2019): 1096–107. http://dx.doi.org/10.11591/eei.v8i3.1514.
Texto completoAnnaz, Fawaz. "UAV Testbed Training Platform development using Panda3d". Industrial Robot: An International Journal 42, n.º 5 (17 de agosto de 2015): 450–56. http://dx.doi.org/10.1108/ir-01-2015-0017.
Texto completoChakraborty, Mrinmoy, Amanda Giang y Naomi Zimmerman. "Performance evaluation of portable dual-spot micro-aethalometers for source identification of black carbon aerosols: application to wildfire smoke and traffic emissions in the Pacific Northwest". Atmospheric Measurement Techniques 16, n.º 9 (5 de mayo de 2023): 2333–52. http://dx.doi.org/10.5194/amt-16-2333-2023.
Texto completoТюрин, А. В., С. А. Жуков y А. Ю. Ахмеров. "Влияние связующего и красителей на механизм туннельной люминесепнции микрокристаллов AgBr(I)". Журнал технической физики 128, n.º 8 (2020): 1100. http://dx.doi.org/10.21883/os.2020.08.49705.21-20.
Texto completoP. S., Nethravathi, Aithal P. S., Sonia Soans y Nayana Yadav. "Coin-Based Mobile Charger using Solar Tracker". International Journal of Applied Engineering and Management Letters, 20 de septiembre de 2021, 68–77. http://dx.doi.org/10.47992/ijaeml.2581.7000.0104.
Texto completoStudenmund, Christine, Audrey Lyndon, James R. Stotts, Caroline Peralta‐Neel, Anjana E. Sharma y Naomi S. Bardach. "What do patients and families observe about pediatric safety?: A thematic analysis of real‐time narratives". Journal of Hospital Medicine, 13 de mayo de 2024. http://dx.doi.org/10.1002/jhm.13388.
Texto completoTesis sobre el tema "Capteur IR mobile"
Chakchouk, Mohamed. "Conceptiοn d'un détecteur de système mécatronique mobile intelligent pour observer des molécules en phase gazeuse en ΙR". Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMIR06.
Texto completoThis work anticipates that, in an ever-expanding digital technology world, technological breakthroughs in the analysis of data collected by spectroscopic devices will allow the almost instantaneous identification of known species observed in-situ in a specific environment, leaving the necessary in-depth analysis of unobserved species. The method derived from RBDO (Reliability Based Design Optimization) technology will be used to implement an artificial intelligence procedure to identify observed species from a mobile IR sensor. To successfully analyze the obtained data, it is necessary to appropriately assign molecular species from the observed IR data using appropriate theoretical models. This work focuses on the observation from mobile devices equipped with appropriate sensors, antennas, and electronics to capture and send raw or analyzed data from an interesting IR spectroscopic environment. It is therefore interesting if not essential to focus on symmetry-based theoretical tools for the spectroscopic analysis of molecules, which allows to identify the IR windows to be chosen for observation in the design of the device. Then, by fitting the theoretical spectroscopic parameters to the observed frequencies, the spectrum of a molecular species can be reconstructed. A deconvolution of the observed spectra is necessary before the analysis in terms of intensity, width and line center characterizing a line shape. Therefore, an adequate strategy is needed in the design to include data analysis during the observation phase, which can benefit from an artificial intelligence algorithm to account for differences in the IR spectral signature. In this regard, the analytical power of the instrument data can be improved by using the reliability-based design optimization (RBDO) methodology. Based on the multi-physics behavior of uncertainty propagation in the hierarchical system tree, RBDO uses probabilistic modeling to analyze the deviation from the desired output as feedback parameters to optimize the design in the first place. The goal of this thesis is to address IR observation window parameters to address reliability issues beyond mechatronic design to include species identification through analysis of collected data
Actas de conferencias sobre el tema "Capteur IR mobile"
Oprea, Marin. "THE INTEGRATION OF IOT PROJECTS IN UNDERGRADUATE EDUCATION". En eLSE 2019. Carol I National Defence University Publishing House, 2019. http://dx.doi.org/10.12753/2066-026x-19-043.
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