Relevant bibliographies by topics / Car identification

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Car identification'

Author: Grafiati
Published: 28 June 2021
Last updated: 29 July 2025

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Journal articles on the topic "Car identification"

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Rutten, Michael J., Kathy D. Bacon, Katie L. Marlink, et al. "Identification of a functional Ca2+-sensing receptor in normal human gastric mucous epithelial cells." American Journal of Physiology-Gastrointestinal and Liver Physiology 277, no. 3 (1999): G662—G670. http://dx.doi.org/10.1152/ajpgi.1999.277.3.g662.

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The purpose of the present study was to determine whether human gastric mucous epithelial cells express a functional Ca2+-sensing receptor (CaR). Human gastric mucous epithelial cells were isolated from surgical tissues and cultured on glass coverslips, plastic dishes, or porous membrane filters. Cell growth was assessed by the MTT assay, CaR localization was detected by immunohistochemistry and confocal microscopy, CaR protein expression was assessed by Western immunoblotting, and intracellular Ca2+ concentration ([Ca2+]i) was determined by fura 2 spectrofluorometry. In paraffin sections of w
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Akkaya, Suleyman, and Umit Cakmak. "Association between C-Reactive Protein to Albumin Ratio and Multi-Vessel Coronary Artery Disease in Patients with Stable Coronary Artery Disease." Journal of Personalized Medicine 14, no. 4 (2024): 378. http://dx.doi.org/10.3390/jpm14040378.

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Multivessel coronary artery disease (MV-CAD) remains a prevalent and serious health concern despite advances in treatment. Early identification and risk stratification are crucial for optimizing treatment. The CRP-to-albumin ratio (CAR) has emerged as a promising biomarker in various inflammatory diseases. This study investigated the potential of CAR as a marker for MV-CAD. We retrospectively analyzed 1360 patients with suspected CAD. Patients were divided into three groups based on CAR tertiles. Logistic regression analyses were carried out to estimate the association between MHR and MV-CAD.
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Cima, Robert R., Ivan Cheng, Mary E. Klingensmith, et al. "Identification and functional assay of an extracellular calcium-sensing receptor in Necturusgastric mucosa." American Journal of Physiology-Gastrointestinal and Liver Physiology 273, no. 5 (1997): G1051—G1060. http://dx.doi.org/10.1152/ajpgi.1997.273.5.g1051.

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In mammals and amphibians, increases in extracellular Ca2+ can activate bicarbonate secretion and other protective functions of gastric mucosa. We hypothesized that the recently cloned extracellular Ca2+-sensing receptor (CaR) is functioning in the gastric mucosa. In Necturus maculosus gastric mucosa, reverse transcription-polymerase chain reaction using primers based on previously cloned CaR sequences amplified a 326-bp DNA fragment that had 84% nucleotide sequence identity with the rat kidney CaR. Immunohistochemical localization of the CaR using specific anti-CaR antiserum revealed its pres
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Lee, Jaemyoung. "A Driver Identification Method for a Car Through a Wireless Communication." International Journal of Computational and Applied Mathematics & Computer Science 2 (June 4, 2022): 26–28. http://dx.doi.org/10.37394/232028.2022.2.5.

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To prevent car thefts, we propose a driver identification method through a wireless communication using a smart phone and a system equipped with an NFC chip in a car. Driver identifications are carried out by approaching the driver’s NFC device to the NFC system in the car which does not require complicated systems to install the NFC in a car. For a theft case in which driver’s NFC code does not match to the registered, subsequent steps could be taken into action. In the proposed method, we can trace the stolen car by sending GPS information to the owner. The proposed method which does not req
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Venture, Gentiane, Wisama Khalil, Maxime Gautier, and Philippe Bodson. "Dynamic Identification of a Car." IFAC Proceedings Volumes 37, no. 22 (2004): 733–38. http://dx.doi.org/10.1016/s1474-6670(17)30431-7.

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Aznar, M. Angela, Charly R. Good, Shunichiro Kuramitsu, et al. "Abstract 3602: Mechanisms of CAR T cell dysfunction and identification of transcription factors that drive the exhaustion phenotype." Cancer Research 82, no. 12_Supplement (2022): 3602. http://dx.doi.org/10.1158/1538-7445.am2022-3602.

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Abstract Chimeric antigen receptor (CAR) T cell immunotherapy is FDA approved for the treatment of a subset of B cell malignancies but has shown limited clinical success in solid tumor therapy. T cell exhaustion is an important factor involved in treatment failure, and can, in part, result from continuous stimulation of the CAR by tumor cells expressing the cognate antigen. To gain deeper understanding of CAR T cell exhaustion induced by chronic antigen exposure (CAE), we developed and validated a robust in vitro model, in which mesothelin-redirected CAR T cells (M5CAR) were continuously stimu
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Mahmood, Sanner H., Oulla G. Hassan, Ayad M. Kwad, and Safa F. Abass. "Auto Opening Door and Car Identification." Journal of Computer and Communications 04, no. 15 (2016): 132–41. http://dx.doi.org/10.4236/jcc.2016.415013.

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Wang, Zejiang, Xingyu Zhou, and Junmin Wang. "Algebraic Car-Following Model Parameter Identification." IFAC-PapersOnLine 54, no. 20 (2021): 864–69. http://dx.doi.org/10.1016/j.ifacol.2021.11.280.

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Venture, Gentiane, Maxime Gautier, Wisama Khalil, and Philippe Bodson. "Parametric identification of the car dynamics." IFAC Proceedings Volumes 36, no. 16 (2003): 285–90. http://dx.doi.org/10.1016/s1474-6670(17)34775-4.

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Russo, Michele, Riccardo Russo, and Agsotino Volpe. "Car Parameters Identification by Handling Manoeuvres." Vehicle System Dynamics 34, no. 6 (2000): 423–36. http://dx.doi.org/10.1076/vesd.34.6.423.2053.

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Dissertations / Theses on the topic "Car identification"

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Miwa, Tomio, Takaaki Sakai, and Taka Morikawa. "Route Identification and Travel Time Prediction Using Probe-Car Data." ITS Japan, 2004. http://hdl.handle.net/2237/10030.

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Jolicoeur, Marie-Pierre. "Model identification of a car suspension testbed for robust vibration control." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=98974.

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Road irregularities are a source of structure-borne noise in a car cabin. An active suspension using an Hinfinity robust feedback controller is designed to reduce this vibration-induced noise. To define the control law on this suspension, a quarter-car suspension is first modeled through its resonance modes. Frequency responses are extracted from experimental measurements which are then curve-fitted to obtain the nominal model of the suspension and its parametric uncertainty. The vibration-induced noise in the frequency range 60-250 Hz is then reduced using robust feedback controllers. An Hinf
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Ehlert, Anett. "The identification of some requirements for an improved car following model." Thesis, University of Newcastle Upon Tyne, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.399291.

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Tran, Michael. "Neural network identification of quarter-car passive and active suspension systems." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-09292009-020158/.

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Benod, Cindy. "Identification de ligands pour les récepteurs nucléaires humains PXR (NR112) et CAR (NR113)." Montpellier 1, 2007. http://www.theses.fr/2007MON13504.

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Les récepteurs nucléaires humains PXR (Pregnane X Receptor, NR1I2) et CAR (Constitutive Androstane Receptor, NR1I3) modulent l'expression de plusieurs familles de gènes impliquées dans des voies de détoxification de l'organisme. Ainsi, des agonistes affins et spécifiques de ces deux récepteurs pourraient être utilisés pour protéger l’organisme des effets néfastes dus à l’accumulation d’agents toxiques endogènes et exogènes. Par ailleurs, des antagonistes de PXR et CAR permettraient de traiter certains cancers ou d’éviter des interactions médicamenteuses. Ce projet a donc consisté à mettre en p
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Kumstát, Petr. "Řízení rizik ve společnosti AT CAR, s.r.o." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2017. http://www.nusl.cz/ntk/nusl-318553.

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Risk management in company AT CAR, s.r.o. with focus on its branch Brno is the main topic of this thesis. As for the risk management itself, the most important tasks are identification, analysis and reducing the possible risks. These processes are described and discussed in the theoretical part of the thesis, while it also introduces all important terms related to this topic. In the analytical part, the risks are identified using appropriate methods such as SLEPTE analysis, Porter’s Five Forces and 7S model. The risks identified are thereafter evaluated using the scoring method. In the last pa
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Andersen, Erik. "Multibody Dynamics Modeling and System Identification for a Quarter-Car Test Rig with McPherson Strut Suspension." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/33197.

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For controller design, design of experiments, and other dynamic simulation purposes there is a need to be able to predict the dynamic response and joint reaction forces of a quarter-car suspension. This need is addressed by this study through development and system identification of both a linear and a non-linear multibody dynamics McPherson strut quarter-car suspension model. Both models are developed using a method customary to multibody dynamics so that the same numerical integrator can be used to compare their respective performances. This method involves using the Lagrange multiplier
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Banik, Prakriti. "Vision and Radar Fusion for Identification of Vehicles in Traffic." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/55121.

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This report presents a method for estimating the presence and duration of preceding and lead vehicle in front of a motorcycle using an object detection algorithm guided by radar data. The video and radar data were collected as part of a large transportation project. The data are recorded by the ego vehicle during a trip while in a naturalistic research study. The goal is to validate objects detected by radar using vision, to identify moving preceding vehicles and the lead vehicle. The proposed approach takes advantage of radar data in locating the vehicles and other targets and then validates
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Krug, Adrien. "Identification de nouvelles approches thérapeutiques pour les lymphomes T périphériques." Electronic Thesis or Diss., Université Côte d'Azur, 2023. https://intranet-theses.unice.fr/2023COAZ6031.

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Le lymphome Angioimmunoblastique T (AITL) est un cancer hématologique extrêmement rare et invasif pour lequel il n'existe, à l'heure actuelle, aucune stratégie thérapeutique spécifique et efficace. Les échantillons de patients étant très rares, certains modèles murins ont émergé ces dernières années afin de pouvoir établir un terrain d'étude. Parmi ces modèles, nous pouvons citer la souris « plck-GAPDH » qui présente une surexpression de l'enzyme glycolytique GAPDH exclusivement dans les lymphocytes T et qui à un âge avancée (18 mois ou plus) développe une pathologie équivalente à l'AITL humai
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Breuker, Cyril. "Etude des xénorécepteurs CAR (NR1I3) et PXR (NR1I2) : identification d’un nouveau gène cible de CAR (SPOT14) et d’une nouvelle isoforme de PXR (PXR-small) dans l'hépatocyte humain." Thesis, Montpellier 1, 2010. http://www.theses.fr/2010MON13522.

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CAR (Constitutive Androstane Receptor, NR1I3) et PXR (Pregnane X Receptor, NR1I2) sont deux récepteurs nucléaires dédiés à la reconna issance et à l'élimination de molécules lipophiles potentiellement toxiques pour l'organisme. Ces facteurs de transcription peuvent être activés par des ligands d'origines et de structures diverses (médicaments, polluants environnementaux, produits de l'alimentation et de phytothérapies). L'activation de ces récepteurs entraîne l'expression des gènes majeurs de la fonction de détoxication entéro-hépatique (CYP450, transférases, transporteurs) permettant l'élimin
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Books on the topic "Car identification"

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A, Clark John. HO slot car identification and price guide. L-W Book Sales, 1995.

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Collingwood, Larry. What car would you drive if--?: A fun quiz book about car models and their manufacturers. Xlibris Corp, 2010.

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Dana, Johnson. Toy car collector's guide: Identification and values for diecast, white metal, other automotive toys & models. Collector Books, 2002.

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Hostetler, Mark E. That gunk on your car: A unique guide to insects of North America. Ten Speed Press, 1997.

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Havert, Bill. Nature guide to the mountains of Southern California by car & on foot. Earth Trails Publications, 1996.

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Edgar, Jim. Illinois disabled persons identification card. Jim Edgar, Secretary of State, 1986.

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Baard, Ernst H. W. Cape tortoises: Their identification and care. Cape Nature Conservation, 1994.

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S, Nehra Krishan, and Library of Congress. American-British Law Division., eds. Personal identification card requirements in various countries. American-British Law Division, Law Library of Congress, 1990.

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Caravan, Jill. An identification guide to cat breeds. Eagle Editions, 1998.

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Kissel, Eléonore. Architectural photoreproductions: A manual for identification and care. 2nd ed. Oak Knoll Press, 2009.

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Book chapters on the topic "Car identification"

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Pawade, Dipti, Avani Sakhapara, Hardik Jain, Riya Rege, Sparsh Gupta, and Devansh Shah. "AutoMeta: An Integrated Car Identification System Based on Blockchain." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3963-3_35.

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Schütz, Thomas, Hans-Joachim Kretschmann, and Dieter Müller. "Automated Identification of Neuroanatomical Structures in CT- and MR-Images." In CAR’89 Computer Assisted Radiology / Computergestützte Radiologie. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-52311-3_51.

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Hou, Yanfang, Guohua Han, Yaozhen Zhao, and Xueying Xu. "Disturbing Noise Identification and Sound Quality Research on Car Generator." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33832-8_41.

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DeLucia, Diana C., and John K. Lee. "Identification of Cell Surface Targets for CAR T Cell Immunotherapy." In Methods in Molecular Biology. Springer US, 2019. http://dx.doi.org/10.1007/978-1-0716-0203-4_2.

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Wei, Xiaogang, and Rong Zhang. "Security Analysis of Car Driving Identification System Based on Deep Learning." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-50571-3_34.

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Muresan, Vlad, Valentin Sita, Iulia Clitan, and Adrian Barstan. "Identification and Control of a Car Speed Dynamics Using Artificial Intelligence." In Mining Intelligence and Knowledge Exploration. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05918-7_17.

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Shile, P. E., M. P. Chwialkowski, D. Pfeifer, R. W. Parkey, and R. M. Peshock. "Automated Identification of the Spine in Magnetic Resonance Images: A Reference Point for Automated Processing." In CAR’89 Computer Assisted Radiology / Computergestützte Radiologie. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-52311-3_120.

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Lettieri, Antonio, and Carmine Maria Pappalardo. "Experimental Identification of a Car Dynamic Model Using the Numerical Algorithms for Subspace State-Space System Identification." In Advances in Design, Simulation and Manufacturing III. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50491-5_2.

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Mesbah, N. F., and S. M. Yusof. "Systematic Way for Problem Identification of Car Braking System by Using TRIZ." In The Malaysia-Japan Model on Technology Partnership. Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-54439-5_13.

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Rundo, Francesco, Francesca Trenta, Roberto Leotta, et al. "Advanced Temporal Dilated Convolutional Neural Network for a Robust Car Driver Identification." In Pattern Recognition. ICPR International Workshops and Challenges. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68793-9_13.

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Conference papers on the topic "Car identification"

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Sum, Leong Chee, Siti Zarina Mohd Muji, and Suhaila Sari. "Object Recognition using YOLOv8 for Car Seat Identification." In 2024 International Conference on Future Technologies for Smart Society (ICFTSS). IEEE, 2024. http://dx.doi.org/10.1109/icftss61109.2024.10690270.

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Krishna, Raji, Tulasi Prasad Sariki, Siri Mahalakshmi Sigamsetty, G. Bharadwaja Kumar, D. Jayanthi, and A. Asha. "Car Damage Identification System Using Convolutional Neural Network." In 2025 3rd IEEE International Conference on Industrial Electronics: Developments & Applications (ICIDeA). IEEE, 2025. https://doi.org/10.1109/icidea64800.2025.10963025.

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Aaron, A. Izang, Erihri O. Jonathan, I. Oyerinde Emmanuel, et al. "Car Lock Control System Using Radio Frequency Identification(RFID)." In 2024 IEEE SmartBlock4Africa. IEEE, 2024. https://doi.org/10.1109/smartblock4africa61928.2024.10779555.

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Shubham and Deepak Banerjee. "Robust Car Damage Identification Through CNN and SVM Techniques." In 2024 4th International Conference on Technological Advancements in Computational Sciences (ICTACS). IEEE, 2024. https://doi.org/10.1109/ictacs62700.2024.10841110.

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Li, Xinglin, Yong Wang, Jiexuan Shen, Shi Li, Happy Nkanta Monday, and Grace Ugochi Nneji. "Ensemble Learning Approach for Car and Tank Image Identification with Explainable AI." In 2024 5th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE). IEEE, 2024. http://dx.doi.org/10.1109/icbase63199.2024.10762390.

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Hsia, Shih-Chang, Tsan-Hung Chung, and Szu-Hong Wang. "Object Detection and Identification for Car Reverse Based on Convolution Network Computation." In 2025 1st International Conference on Consumer Technology (ICCT-Pacific). IEEE, 2025. https://doi.org/10.1109/icct-pacific63901.2025.11012858.

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Aqillah, Muhammad Fasha, and Erwin Susanto. "Modeling and Optimization of Half Car Suspension and System Identification with Artificial Neural Networks Using Matlab." In 2024 International Conference of Adisutjipto on Aerospace Electrical Engineering and Informatics (ICAAEEI). IEEE, 2024. https://doi.org/10.1109/icaaeei63658.2024.10899176.

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LI, Na. "Research on state identification of hazardous chemicals transportation tank car based on SVM and DS evidence theory." In Fourth International Conference on Electronics Technology and Artificial Intelligence (ETAI 2025), edited by Shaohua Luo and Akash Saxena. SPIE, 2025. https://doi.org/10.1117/12.3068524.

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Hammar, Karima, Tounsia Djamah, and Maamar Bettayeb. "Fractional Hammerstein CAR system identification." In 2017 6th International Conference on Systems and Control (ICSC). IEEE, 2017. http://dx.doi.org/10.1109/icosc.2017.7958743.

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Rodríguez-Saeta, Javier, Christian Koechling, and Javier Hernando. "Speaker identification for car infotainment applications." In 7th European Conference on Speech Communication and Technology (Eurospeech 2001). ISCA, 2001. http://dx.doi.org/10.21437/eurospeech.2001-244.

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Reports on the topic "Car identification"

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Utsugi, Akio, and Motoyuki Akamatsu. Analysis of Car-Following Behavior Using Dynamic Probabilistic Models~Identification of Driving Mode Transition Using Dynamic Bayesian Networks. SAE International, 2005. http://dx.doi.org/10.4271/2005-08-0241.

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Taylor, James S., and Mary C. Hulgan. Electro-Optic Identification Research Program: Computer Aided Identification (CAI) and Automatic Target Recognition (ATR). Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada624974.

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Guyette, Francis X., David Hostler, Juan C. Puyana, John S. Cole, Michael R. Pinsky, and Brian Suffoletto. Early Identification of Circulatory Shock in Critical Care Transport. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada494638.

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Corscadden, Louise, and Arpaporn Sutipatanasomboon. Rodent Tagging And Identification. ConductScience, 2023. http://dx.doi.org/10.55157/cs20230109.

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Animal tagging is a means to identify and distinguish all the individual animals of interest, which applies to wildlife, farm, or laboratory animals. It involves attaching a tag to a specific animal part that contains a unique identifier for each animal. The identifier can be numbers, alphabets, or a combination of both that distinguish and track the animals throughout their lifespans. In rodents, tagging is the most popular identification approach. Typically, tags are made from metals and attached to the outer part of rodent ears, or the ear pinna. In rare circumstances, metal tags can also b
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Bilyk, Zhanna I., Yevhenii B. Shapovalov, Viktor B. Shapovalov, Anna P. Megalinska, Fabian Andruszkiewicz, and Agnieszka Dołhańczuk-Śródka. Assessment of mobile phone applications feasibility on plant recognition: comparison with Google Lens AR-app. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4403.

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The paper is devoted to systemizing all mobile applications used during the STEM-classes and can be used to identify plants. There are 10 mobile applications that are plant identifiers worldwide. These applications can be divided into three groups, such as plant identifiers that can analyze photos, plant classification provides the possibility to identify plants manually, plants-care apps that remind water of the plant, or change the soil. In this work, mobile apps such as Flora Incognita, PlantNet, PlantSnap, PictureThis, LeafSnap, Seek, PlantNet were analyzed for usability parameters and acc
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Lohne, Arild, Arne Stavland, Siv Marie Åsen, Olav Aursjø, and Aksel Hiorth. Recommended polymer workflow: Interpretation and parameter identification. University of Stavanger, 2021. http://dx.doi.org/10.31265/usps.202.

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Injecting a polymer solution into a porous medium significantly increases the modeling complexity, compared to model a polymer bulk solution. Even if the polymer solution is injected at a constant rate into the porous medium, the polymers experience different flow regimes in each pore and pore throat. The main challenge is to assign a macroscopic porous media “viscosity” to the fluid which can be used in Darcy law to get the correct relationship between the injection rate and pressure drop. One can achieve this by simply tabulating experimental results (e.g., injection rate vs pressure drop).
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Giacomini, Raffaella, Toru Kitagawa, and Matthew Read. Identification and Inference under Narrative Restrictions. Reserve Bank of Australia, 2023. http://dx.doi.org/10.47688/rdp2023-07.

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We consider structural vector autoregressions subject to narrative restrictions, which are inequalities involving structural shocks in specific time periods (e.g. shock signs in given quarters). Narrative restrictions are used widely in the empirical literature. However, under these restrictions, there are no formal results on identification or the properties of frequentist approaches to inference, and existing Bayesian methods can be sensitive to prior choice. We provide formal results on identification, propose a computationally tractable robust Bayesian method that eliminates prior sensitiv
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Thompson and Anderson. GRl-90-0337 Identification of Injected Storage Gas. Pipeline Research Council International, Inc. (PRCI), 1990. http://dx.doi.org/10.55274/r0011193.

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This project developed and evaluated methods for distinguishing between natural gases from different sources. Identification of particular "batches" of gas can be of considerable importance. For example, means of distinguishing between gases can demonstrate whether a gas appearing at the surface over a storage area is migrating storage gas or is gas formed by bacterial action above the storage zone. As another example, identification methods can allow detection of migration from a storage zone to an adjacent production zone. Two general methods were evaluated/developed in this project; tracers
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Song, Jiating, Qi Chen, Lele Jian, Qihua Huang, and hang Du. Preventive effects of different mouthwashes on oral mucositis associated with radiotherapy and chemotherapy: a network Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.5.0061.

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Review question / Objective: By using mesh meta-analysis, we can determine the most effective mouthwash during clinical care for patients with chemoradiotherapy-associated oral mucositis. Condition being studied: At present, we have carried out a preliminary literature search for the identification of search terms and search formulas. Eligibility criteria: Study type - RCT; study subjects: chemoradiotherapy patients with potential risk of OM, no OM before the study, unlimited age, nationality and duration; intervention: oral care liquid gargle; outcome index: incidence of OM.
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Dy, Sydney M., Julie M. Waldfogel, Danetta H. Sloan, et al. Integrating Palliative Care in Ambulatory Care of Noncancer Serious Chronic Illness: A Systematic Review. Agency for Healthcare Research and Quality (AHRQ), 2020. http://dx.doi.org/10.23970/ahrqepccer237.

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Abstract:
Objectives. To evaluate availability, effectiveness, and implementation of interventions for integrating palliative care into ambulatory care for U.S.-based adults with serious life-threatening chronic illness or conditions other than cancer and their caregivers We evaluated interventions addressing identification of patients, patient and caregiver education, shared decision-making tools, clinician education, and models of care. Data sources. We searched key U.S. national websites (March 2020) and PubMed®, CINAHL®, and the Cochrane Central Register of Controlled Trials (through May 2020). We a
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