Littérature scientifique sur le sujet « 5G electromagnetic field »
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Articles de revues sur le sujet "5G electromagnetic field"
Perov, Sergey Yu, et Olga V. Belaya. « Electromagnetic environment created by mobile communication base stations in the 5G pilot area ». Hygiene and sanitation 102, no 6 (28 juillet 2023) : 538–43. http://dx.doi.org/10.47470/0016-9900-2023-102-6-538-543.
Texte intégralDeprez, Kenneth, Loek Colussi, Erdal Korkmaz, Sam Aerts, Derek Land, Stephan Littel, Leen Verloock, David Plets, Wout Joseph et John Bolte. « Comparison of Low-Cost 5G Electromagnetic Field Sensors ». Sensors 23, no 6 (21 mars 2023) : 3312. http://dx.doi.org/10.3390/s23063312.
Texte intégralKim, Seungmo, et Imtiaz Nasim. « Human Electromagnetic Field Exposure in 5G at 28 GHz ». IEEE Consumer Electronics Magazine 9, no 6 (1 novembre 2020) : 41–48. http://dx.doi.org/10.1109/mce.2019.2956223.
Texte intégralPerov, Sergey Yu, Olga V. Belaya, Quirino Balzano et Nina B. Rubtsova. « The problems of mobile communication electromagnetic field exposure assessment today and tomorrow ». Russian Journal of Occupational Health and Industrial Ecology 60, no 9 (7 octobre 2020) : 597–99. http://dx.doi.org/10.31089/1026-9428-2020-60-9-597-599.
Texte intégralFrank, John William. « Electromagnetic fields, 5G and health : what about the precautionary principle ? » Journal of Epidemiology and Community Health 75, no 6 (19 janvier 2021) : 562–66. http://dx.doi.org/10.1136/jech-2019-213595.
Texte intégralMallik, Mohammed, Angesom Ataklity Tesfay, Benjamin Allaert, Redha Kassi, Esteban Egea-Lopez, Jose-Maria Molina-Garcia-Pardo, Joe Wiart, Davy P. Gaillot et Laurent Clavier. « Towards Outdoor Electromagnetic Field Exposure Mapping Generation Using Conditional GANs ». Sensors 22, no 24 (9 décembre 2022) : 9643. http://dx.doi.org/10.3390/s22249643.
Texte intégralFranci, Daniele, Stefano Coltellacci, Enrico Grillo, Settimio Pavoncello, Tommaso Aureli, Rossana Cintoli et Marco Donald Migliore. « Experimental Procedure for Fifth Generation (5G) Electromagnetic Field (EMF) Measurement and Maximum Power Extrapolation for Human Exposure Assessment ». Environments 7, no 3 (17 mars 2020) : 22. http://dx.doi.org/10.3390/environments7030022.
Texte intégralAkdoğan, Hilmi, Vasil Tabatadze, Kamil Karaçuha et Ercan Yaldiz. « Several case studies on electric field distributions for two human bodies inside the car at 3.5 GHz–5G frequency band ». International Journal of Applied Electromagnetics and Mechanics 67, no 4 (9 décembre 2021) : 507–20. http://dx.doi.org/10.3233/jae-210035.
Texte intégralNascimento, Luiz F. C., Galdenoro Botura Jr. et Rogério P. Mota. « Glucose consume and growth of E. coli under electromagnetic field ». Revista do Instituto de Medicina Tropical de São Paulo 45, no 2 (avril 2003) : 65–67. http://dx.doi.org/10.1590/s0036-46652003000200002.
Texte intégralAhmed Salem, Mohammed, Heng Siong Lim, Ming Yam Chua, Khaled Abdulaziz Alaghbari, Charilaos Zarakovitis et Su Fong Chien. « Assessing electromagnetic field exposure levels in multi-active reconfigurable intelligent surface assisted 5G network ». International Journal of Electrical and Computer Engineering (IJECE) 14, no 4 (1 août 2024) : 4110. http://dx.doi.org/10.11591/ijece.v14i4.pp4110-4119.
Texte intégralThèses sur le sujet "5G electromagnetic field"
Furqan, Muhammad. « Predictive analysis for electromagnetic radiations generated by 5G radio frequencies ». Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/212980/1/Muhammad_Furqan_Thesis.pdf.
Texte intégralMallik, 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.
Texte intégralThe 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
Chapitres de livres sur le sujet "5G electromagnetic field"
Nasir, Nor Fazlin Mohd, Heng Siong Lim et Kah Seng Diong. « Downlink Electromagnetic Field Exposure Levels in Pre-5G and 5G Ultra-Dense Mobile Networks ». Dans Proceedings of the Multimedia University Engineering Conference (MECON 2022), 264–80. Dordrecht : Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6463-082-4_25.
Texte intégralRoth, Bradley J. « Did 5G Cell Phone Radiation Cause Covid-19 ? » Dans Are Electromagnetic Fields Making Me Ill ?, 85–94. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98774-9_7.
Texte intégralTaybi, Chakib, Jihad Assahsah, Aboulkacem Karkri, Mohammed Anisse Moutaouekkil, Bachir Elmagroud et Abdelhak Ziyyat. « Evaluation of the Exposition Human to Electromagnetics Field at 5G and 6G Frequencies ». Dans Advances in Control Power Systems and Emerging Technologies, 285–90. Cham : Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51796-9_35.
Texte intégral« Electromagnetic field (EMF) monitoring tools ». Dans Low Electromagnetic Emission Wireless Network Technologies : 5G and beyond, 23–52. Institution of Engineering and Technology, 2019. http://dx.doi.org/10.1049/pbte084e_ch2.
Texte intégralArinze, Ndidi Stella, Patrick Uche Okafor et Osondu Ignatius Onah. « The Adverse Effect of Electromagnetic Radiation From Cellular Base Stations in Nigeria ». Dans Handbook of Research on 5G Networks and Advancements in Computing, Electronics, and Electrical Engineering, 269–80. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6992-4.ch010.
Texte intégralChandan, Rakesh Kumar, Prem Nath Suman et Keshav Sinha. « The Environmental Impact of 5G Technology on Humans and Animals ». Dans Advances in Library and Information Science, 48–68. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7258-0.ch003.
Texte intégralActes de conférences sur le sujet "5G electromagnetic field"
Chountala, Chrysanthi, Jean-Marc Chareau et Pravir Chawdhry. « Radio Frequency Electromagnetic Field Measurements in a Commercial 5G Network ». Dans 2021 IEEE 4th 5G World Forum (5GWF). IEEE, 2021. http://dx.doi.org/10.1109/5gwf52925.2021.00055.
Texte intégralEstrada, Juan, Enric Pardo, Ramiro Camino et Sébastien Faye. « Assessing the Electromagnetic Field Exposure of 5G Transmitters ». Dans MSWiM '22 : Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems. New York, NY, USA : ACM, 2022. http://dx.doi.org/10.1145/3551660.3560906.
Texte intégralRubtsova, Nina, Sergey Perov et Olga Belay. « 2-5G electromagnetic field chronic exposure biological effects assessment ». Dans RAD Conference. RAD Centre, 2021. http://dx.doi.org/10.21175/rad.abstr.book.2021.20.5.
Texte intégralRumeng, Tan, Shi Ying, Wu Tong et Zhu Wentao. « Electromagnetic field safety compliance assessments for 5G wireless networks ». Dans 2020 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMCSI). IEEE, 2020. http://dx.doi.org/10.1109/emcsi38923.2020.9191518.
Texte intégralRowley, Jack, et Haim Mazar. « Misunderstandings about radiofrequency electromagnetic field exposure and 5G misinformation ». Dans 2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS). IEEE, 2021. http://dx.doi.org/10.1109/comcas52219.2021.9629063.
Texte intégralDerat, Benoit. « 5G antenna characterization in the far-field : How close can far-field be ? » Dans 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.2018.8393926.
Texte intégralBelaya, О. V. « EXPERIMENTAL STUDY OF 2-5G BASE STATION ELECTROMAGNETIC FIELD CHRONIC EXPOSURE NERVOUS SYSTEM EFFECT TYPOLOGICAL FEATURES ». Dans The 4th «OCCUPATION and HEALTH» International Youth Forum (OHIYF-2022). FSBSI «IRIOH», 2022. http://dx.doi.org/10.31089/978-5-6042929-6-9-2022-1-20-24.
Texte intégralPersia, Samuela, Claudia Carciofi, Marina Barbiroli, Cristina Volta, Daniele Bontempelli et Giuseppe Anania. « Radio Frequency Electromagnetic Field Exposure Assessment for future 5G networks ». Dans 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2018. http://dx.doi.org/10.1109/pimrc.2018.8580919.
Texte intégralFellan, Amina, Christopher Hobelsberger, Christian Schellenberger, Daniel Lindenschmitt et Hans D. Schotten. « Electromagnetic Field Strength Measurements in a Private 5G Campus Network ». Dans MSWiM '22 : Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems. New York, NY, USA : ACM, 2022. http://dx.doi.org/10.1145/3551661.3561361.
Texte intégralSierra Castañer, M. « The Challenge of Electromagnetic Field Measurements for Modern 5G Devices ». Dans 12th European Conference on Antennas and Propagation (EuCAP 2018). Institution of Engineering and Technology, 2018. http://dx.doi.org/10.1049/cp.2018.0750.
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