Literatura científica selecionada sobre o tema "EMF exposure map"
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Artigos de revistas sobre o assunto "EMF exposure map"
Wang, Shanshan, e Joe Wiart. "Sensor-Aided EMF Exposure Assessments in an Urban Environment Using Artificial Neural Networks". International Journal of Environmental Research and Public Health 17, n.º 9 (28 de abril de 2020): 3052. http://dx.doi.org/10.3390/ijerph17093052.
Texto completo da fonteSeo, Myung-Soon, Jae-Wook Choi, Kyung-Hee Kim e Hyung-Do Choi. "The Relationship between Risk Perception of Cell Phones and Objective Knowledge of EMF in Korea". International Journal of Environmental Research and Public Health 17, n.º 19 (1 de outubro de 2020): 7207. http://dx.doi.org/10.3390/ijerph17197207.
Texto completo da fonteGonzalez-Rubio, Jesus, Alberto Najera e Enrique Arribas. "Comprehensive personal RF-EMF exposure map and its potential use in epidemiological studies". Environmental Research 149 (agosto de 2016): 105–12. http://dx.doi.org/10.1016/j.envres.2016.05.010.
Texto completo da fontePang, L., S. J. Decker e A. R. Saltiel. "Bombesin and epidermal growth factor stimulate the mitogen-activated protein kinase through different pathways in Swiss 3T3 cells". Biochemical Journal 289, n.º 1 (1 de janeiro de 1993): 283–87. http://dx.doi.org/10.1042/bj2890283.
Texto completo da fonteGeorgiou, Christos D., Electra Kalaitzopoulou, Marianna Skipitari, Polyxeni Papadea, Athina Varemmenou, Vassilios Gavriil, Evangelia Sarantopoulou, Zoe Kollia e Alkiviadis-Constantinos Cefalas. "Physical Differences between Man-Made and Cosmic Microwave Electromagnetic Radiation and Their Exposure Limits, and Radiofrequencies as Generators of Biotoxic Free Radicals". Radiation 2, n.º 4 (22 de setembro de 2022): 285–302. http://dx.doi.org/10.3390/radiation2040022.
Texto completo da fonteKelleher, M. D., M. K. Abe, T. S. Chao, M. Jain, J. M. Green, J. Solway, M. R. Rosner e M. B. Hershenson. "Role of MAP kinase activation in bovine tracheal smooth muscle mitogenesis". American Journal of Physiology-Lung Cellular and Molecular Physiology 268, n.º 6 (1 de junho de 1995): L894—L901. http://dx.doi.org/10.1152/ajplung.1995.268.6.l894.
Texto completo da fonteGökmen, Uğur, Zübeyde Özkan e Sema Bilge Ocak. "Impact of the gamma and neutron attenuation behaviors on the functionally graded composite materials". Physica Scripta 96, n.º 12 (1 de dezembro de 2021): 125326. http://dx.doi.org/10.1088/1402-4896/ac41ef.
Texto completo da fonteHeasley, L. E., S. I. Senkfor, S. Winitz, A. Strasheim, I. Teitelbaum e T. Berl. "Hormonal regulation of MAP kinase in cultured rat inner medullary collecting tubule cells". American Journal of Physiology-Renal Physiology 267, n.º 3 (1 de setembro de 1994): F366—F373. http://dx.doi.org/10.1152/ajprenal.1994.267.3.f366.
Texto completo da fonteBevington, Michael. "The Prevalence of People With Restricted Access to Work in Man-Made Electromagnetic Environments". Journal of Environment and Health Science 5, n.º 1 (18 de janeiro de 2019): 1–12. http://dx.doi.org/10.15436/2378-6841.19.2402.
Texto completo da fonteLee, M., C. Hwang, J. Lee, H. Slavkin e D. Warburton. "TGF-beta isoforms differentially attenuate EGF mitogenicity and receptor activity in fetal lung mesenchymal cells". American Journal of Physiology-Lung Cellular and Molecular Physiology 273, n.º 2 (1 de agosto de 1997): L374—L381. http://dx.doi.org/10.1152/ajplung.1997.273.2.l374.
Texto completo da fonteTeses / dissertações sobre o assunto "EMF exposure map"
Mallik, Mohammed Tariqul Hassan. "Electromagnetic Field Exposure Reconstruction by Artificial Intelligence". Electronic Thesis or Diss., Université de Lille (2022-....), 2023. https://pepite-depot.univ-lille.fr/ToutIDP/EDENGSYS/2023/2023ULILN052.pdf.
Texto completo da fonteThe topic of exposure to electromagnetic fields has received muchattention in light of the current deployment of the fifth generation(5G) cellular network. Despite this, accurately reconstructing theelectromagnetic field across a region remains difficult due to a lack ofsufficient data. In situ measurements are of great interest, but theirviability is limited, making it difficult to fully understand the fielddynamics. Despite the great interest in localized measurements, thereare still untested regions that prevent them from providing a completeexposure map. The research explored reconstruction strategies fromobservations from certain localized sites or sensors distributed inspace, using techniques based on geostatistics and Gaussian processes.In particular, recent initiatives have focused on the use of machinelearning and artificial intelligence for this purpose. To overcome theseproblems, this work proposes new methodologies to reconstruct EMFexposure maps in a specific urban area in France. The main objective isto reconstruct exposure maps to electromagnetic waves from some datafrom sensors distributed in space. We proposed two methodologies basedon machine learning to estimate exposure to electromagnetic waves. Forthe first method, the exposure reconstruction problem is defined as animage-to-image translation task. First, the sensor data is convertedinto an image and the corresponding reference image is generated using aray tracing-based simulator. We proposed an adversarial network cGANconditioned by the environment topology to estimate exposure maps usingthese images. The model is trained on sensor map images while anenvironment is given as conditional input to the cGAN model.Furthermore, electromagnetic field mapping based on the GenerativeAdversarial Network is compared to simple Kriging. The results show thatthe proposed method produces accurate estimates and is a promisingsolution for exposure map reconstruction. However, producing referencedata is a complex task as it involves taking into account the number ofactive base stations of different technologies and operators, whosenetwork configuration is unknown, e.g. powers and beams used by basestations. Additionally, evaluating these maps requires time andexpertise. To answer these questions, we defined the problem as amissing data imputation task. The method we propose takes into accountthe training of an infinite neural network to estimate exposure toelectromagnetic fields. This is a promising solution for exposure mapreconstruction, which does not require large training sets. The proposedmethod is compared with other machine learning approaches based on UNetnetworks and conditional generative adversarial networks withcompetitive results
Livros sobre o assunto "EMF exposure map"
Cohen, Jeffrey A., Justin J. Mowchun, Victoria H. Lawson e Nathaniel M. Robbins. A 48-Year-Old with Progressive Weakness and Pain. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190491901.003.0005.
Texto completo da fonteCapítulos de livros sobre o assunto "EMF exposure map"
Grandolfo, Martino, e Paolo Vecchia. "Natural and Man-Made Environmental Exposures to Static and ELF Electromagnetic Fields". In Biological Effects and Dosimetry of Static and ELF Electromagnetic Fields, 49–70. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2099-9_4.
Texto completo da fonteSelvin, Steve. "Matched Analysis (One Case and Two Controls)". In Epidemiologic Analysis, 108–28. Oxford University PressNew York, NY, 2001. http://dx.doi.org/10.1093/oso/9780195144895.003.0008.
Texto completo da fonteTrabalhos de conferências sobre o assunto "EMF exposure map"
Mallik, Mohammed, Sofiane Kharbech, Taghrid Mazloum, Shanshan Wang, Joe Wiart, Davy P. Gaillot e Laurent Clavier. "EME-Net: A U-net-based Indoor EMF Exposure Map Reconstruction Method". In 2022 16th European Conference on Antennas and Propagation (EuCAP). IEEE, 2022. http://dx.doi.org/10.23919/eucap53622.2022.9769645.
Texto completo da fonteSheikh, Abdul Q., Andrei Kogan e Daria A. Narmoneva. "Electromagnetic Field Mediates Capillary-Like Network Formation via MAPK/ERK Signaling Cascade". In ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-206710.
Texto completo da fonteGobba, Fabriziomaria. "1650 Magnetic resonance imaging (mri) workers: emf exposure, occupational risk and prevention. an update". In 32nd Triennial Congress of the International Commission on Occupational Health (ICOH), Dublin, Ireland, 29th April to 4th May 2018. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/oemed-2018-icohabstracts.1206.
Texto completo da fonteBedini, A., C. Giliberti, R. Palomba, E. D'Emilia e L. Giuliani. "Architecture of Exposure Systems in the Range of the Microwaves for Biological Applications". In 2007 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications. IEEE, 2007. http://dx.doi.org/10.1109/mape.2007.4393503.
Texto completo da fonteRumeng, Tan, Wu Tong, Kun Zhu, Chen Shaochuan e Luo Senwen. "Method of data acquisition and map generation for radio frequency electromagnetic fields exposure level". In 2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility (EMC/APEMC). IEEE, 2018. http://dx.doi.org/10.1109/isemc.2018.8393860.
Texto completo da fonteNiu, S. "1649a Ilo activities for the prevention of the risk related to occupational exposure to emf in workers". In 32nd Triennial Congress of the International Commission on Occupational Health (ICOH), Dublin, Ireland, 29th April to 4th May 2018. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/oemed-2018-icohabstracts.1202.
Texto completo da fonteFilosto, Simone, Cathleen Becker e Tzipora Goldkorn. "A Novel Post-Translational Mechanism Underlies The EGF Receptor Resistance To Tyrosine Kinase Inhibition Upon CS Exposure Of Airway Epithelial Cells". In American Thoracic Society 2012 International Conference, May 18-23, 2012 • San Francisco, California. American Thoracic Society, 2012. http://dx.doi.org/10.1164/ajrccm-conference.2012.185.1_meetingabstracts.a6294.
Texto completo da fonte