Auswahl der wissenschaftlichen Literatur zum Thema „EMF exposure map“
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Zeitschriftenartikel zum Thema "EMF exposure map"
Wang, Shanshan, und Joe Wiart. „Sensor-Aided EMF Exposure Assessments in an Urban Environment Using Artificial Neural Networks“. International Journal of Environmental Research and Public Health 17, Nr. 9 (28.04.2020): 3052. http://dx.doi.org/10.3390/ijerph17093052.
Der volle Inhalt der QuelleSeo, Myung-Soon, Jae-Wook Choi, Kyung-Hee Kim und 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, Nr. 19 (01.10.2020): 7207. http://dx.doi.org/10.3390/ijerph17197207.
Der volle Inhalt der QuelleGonzalez-Rubio, Jesus, Alberto Najera und Enrique Arribas. „Comprehensive personal RF-EMF exposure map and its potential use in epidemiological studies“. Environmental Research 149 (August 2016): 105–12. http://dx.doi.org/10.1016/j.envres.2016.05.010.
Der volle Inhalt der QuellePang, L., S. J. Decker und A. R. Saltiel. „Bombesin and epidermal growth factor stimulate the mitogen-activated protein kinase through different pathways in Swiss 3T3 cells“. Biochemical Journal 289, Nr. 1 (01.01.1993): 283–87. http://dx.doi.org/10.1042/bj2890283.
Der volle Inhalt der QuelleGeorgiou, Christos D., Electra Kalaitzopoulou, Marianna Skipitari, Polyxeni Papadea, Athina Varemmenou, Vassilios Gavriil, Evangelia Sarantopoulou, Zoe Kollia und 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, Nr. 4 (22.09.2022): 285–302. http://dx.doi.org/10.3390/radiation2040022.
Der volle Inhalt der QuelleKelleher, M. D., M. K. Abe, T. S. Chao, M. Jain, J. M. Green, J. Solway, M. R. Rosner und M. B. Hershenson. „Role of MAP kinase activation in bovine tracheal smooth muscle mitogenesis“. American Journal of Physiology-Lung Cellular and Molecular Physiology 268, Nr. 6 (01.06.1995): L894—L901. http://dx.doi.org/10.1152/ajplung.1995.268.6.l894.
Der volle Inhalt der QuelleGökmen, Uğur, Zübeyde Özkan und Sema Bilge Ocak. „Impact of the gamma and neutron attenuation behaviors on the functionally graded composite materials“. Physica Scripta 96, Nr. 12 (01.12.2021): 125326. http://dx.doi.org/10.1088/1402-4896/ac41ef.
Der volle Inhalt der QuelleHeasley, L. E., S. I. Senkfor, S. Winitz, A. Strasheim, I. Teitelbaum und T. Berl. „Hormonal regulation of MAP kinase in cultured rat inner medullary collecting tubule cells“. American Journal of Physiology-Renal Physiology 267, Nr. 3 (01.09.1994): F366—F373. http://dx.doi.org/10.1152/ajprenal.1994.267.3.f366.
Der volle Inhalt der QuelleBevington, Michael. „The Prevalence of People With Restricted Access to Work in Man-Made Electromagnetic Environments“. Journal of Environment and Health Science 5, Nr. 1 (18.01.2019): 1–12. http://dx.doi.org/10.15436/2378-6841.19.2402.
Der volle Inhalt der QuelleLee, M., C. Hwang, J. Lee, H. Slavkin und 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, Nr. 2 (01.08.1997): L374—L381. http://dx.doi.org/10.1152/ajplung.1997.273.2.l374.
Der volle Inhalt der QuelleDissertationen zum Thema "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.
Der volle Inhalt der QuelleThe 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
Bücher zum Thema "EMF exposure map"
Cohen, Jeffrey A., Justin J. Mowchun, Victoria H. Lawson und 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.
Der volle Inhalt der QuelleBuchteile zum Thema "EMF exposure map"
Grandolfo, Martino, und 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.
Der volle Inhalt der QuelleSelvin, 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.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "EMF exposure map"
Mallik, Mohammed, Sofiane Kharbech, Taghrid Mazloum, Shanshan Wang, Joe Wiart, Davy P. Gaillot und 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.
Der volle Inhalt der QuelleSheikh, Abdul Q., Andrei Kogan und 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.
Der volle Inhalt der QuelleGobba, 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.
Der volle Inhalt der QuelleBedini, A., C. Giliberti, R. Palomba, E. D'Emilia und 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.
Der volle Inhalt der QuelleRumeng, Tan, Wu Tong, Kun Zhu, Chen Shaochuan und 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.
Der volle Inhalt der QuelleNiu, 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.
Der volle Inhalt der QuelleFilosto, Simone, Cathleen Becker und 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.
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