Gotowa bibliografia na temat „5G electromagnetic field”
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Artykuły w czasopismach na temat "5G electromagnetic field"
Perov, Sergey Yu, i Olga V. Belaya. "Electromagnetic environment created by mobile communication base stations in the 5G pilot area". Hygiene and sanitation 102, nr 6 (28.07.2023): 538–43. http://dx.doi.org/10.47470/0016-9900-2023-102-6-538-543.
Pełny tekst źródłaDeprez, Kenneth, Loek Colussi, Erdal Korkmaz, Sam Aerts, Derek Land, Stephan Littel, Leen Verloock, David Plets, Wout Joseph i John Bolte. "Comparison of Low-Cost 5G Electromagnetic Field Sensors". Sensors 23, nr 6 (21.03.2023): 3312. http://dx.doi.org/10.3390/s23063312.
Pełny tekst źródłaKim, Seungmo, i Imtiaz Nasim. "Human Electromagnetic Field Exposure in 5G at 28 GHz". IEEE Consumer Electronics Magazine 9, nr 6 (1.11.2020): 41–48. http://dx.doi.org/10.1109/mce.2019.2956223.
Pełny tekst źródłaPerov, Sergey Yu, Olga V. Belaya, Quirino Balzano i Nina B. Rubtsova. "The problems of mobile communication electromagnetic field exposure assessment today and tomorrow". Russian Journal of Occupational Health and Industrial Ecology 60, nr 9 (7.10.2020): 597–99. http://dx.doi.org/10.31089/1026-9428-2020-60-9-597-599.
Pełny tekst źródłaFrank, John William. "Electromagnetic fields, 5G and health: what about the precautionary principle?" Journal of Epidemiology and Community Health 75, nr 6 (19.01.2021): 562–66. http://dx.doi.org/10.1136/jech-2019-213595.
Pełny tekst źródłaMallik, Mohammed, Angesom Ataklity Tesfay, Benjamin Allaert, Redha Kassi, Esteban Egea-Lopez, Jose-Maria Molina-Garcia-Pardo, Joe Wiart, Davy P. Gaillot i Laurent Clavier. "Towards Outdoor Electromagnetic Field Exposure Mapping Generation Using Conditional GANs". Sensors 22, nr 24 (9.12.2022): 9643. http://dx.doi.org/10.3390/s22249643.
Pełny tekst źródłaFranci, Daniele, Stefano Coltellacci, Enrico Grillo, Settimio Pavoncello, Tommaso Aureli, Rossana Cintoli i Marco Donald Migliore. "Experimental Procedure for Fifth Generation (5G) Electromagnetic Field (EMF) Measurement and Maximum Power Extrapolation for Human Exposure Assessment". Environments 7, nr 3 (17.03.2020): 22. http://dx.doi.org/10.3390/environments7030022.
Pełny tekst źródłaAkdoğan, Hilmi, Vasil Tabatadze, Kamil Karaçuha i 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, nr 4 (9.12.2021): 507–20. http://dx.doi.org/10.3233/jae-210035.
Pełny tekst źródłaNascimento, Luiz F. C., Galdenoro Botura Jr. i Rogério P. Mota. "Glucose consume and growth of E. coli under electromagnetic field". Revista do Instituto de Medicina Tropical de São Paulo 45, nr 2 (kwiecień 2003): 65–67. http://dx.doi.org/10.1590/s0036-46652003000200002.
Pełny tekst źródłaAhmed Salem, Mohammed, Heng Siong Lim, Ming Yam Chua, Khaled Abdulaziz Alaghbari, Charilaos Zarakovitis i 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, nr 4 (1.08.2024): 4110. http://dx.doi.org/10.11591/ijece.v14i4.pp4110-4119.
Pełny tekst źródłaRozprawy doktorskie na temat "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.
Pełny tekst źródłaMallik, 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.
Pełny tekst źródłaThe 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
Części książek na temat "5G electromagnetic field"
Nasir, Nor Fazlin Mohd, Heng Siong Lim i Kah Seng Diong. "Downlink Electromagnetic Field Exposure Levels in Pre-5G and 5G Ultra-Dense Mobile Networks". W 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.
Pełny tekst źródłaRoth, Bradley J. "Did 5G Cell Phone Radiation Cause Covid-19?" W 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.
Pełny tekst źródłaTaybi, Chakib, Jihad Assahsah, Aboulkacem Karkri, Mohammed Anisse Moutaouekkil, Bachir Elmagroud i Abdelhak Ziyyat. "Evaluation of the Exposition Human to Electromagnetics Field at 5G and 6G Frequencies". W 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.
Pełny tekst źródła"Electromagnetic field (EMF) monitoring tools". W 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.
Pełny tekst źródłaArinze, Ndidi Stella, Patrick Uche Okafor i Osondu Ignatius Onah. "The Adverse Effect of Electromagnetic Radiation From Cellular Base Stations in Nigeria". W 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.
Pełny tekst źródłaChandan, Rakesh Kumar, Prem Nath Suman i Keshav Sinha. "The Environmental Impact of 5G Technology on Humans and Animals". W Advances in Library and Information Science, 48–68. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7258-0.ch003.
Pełny tekst źródłaStreszczenia konferencji na temat "5G electromagnetic field"
Chountala, Chrysanthi, Jean-Marc Chareau i Pravir Chawdhry. "Radio Frequency Electromagnetic Field Measurements in a Commercial 5G Network". W 2021 IEEE 4th 5G World Forum (5GWF). IEEE, 2021. http://dx.doi.org/10.1109/5gwf52925.2021.00055.
Pełny tekst źródłaEstrada, Juan, Enric Pardo, Ramiro Camino i Sébastien Faye. "Assessing the Electromagnetic Field Exposure of 5G Transmitters". W 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.
Pełny tekst źródłaRubtsova, Nina, Sergey Perov i Olga Belay. "2-5G electromagnetic field chronic exposure biological effects assessment". W RAD Conference. RAD Centre, 2021. http://dx.doi.org/10.21175/rad.abstr.book.2021.20.5.
Pełny tekst źródłaRumeng, Tan, Shi Ying, Wu Tong i Zhu Wentao. "Electromagnetic field safety compliance assessments for 5G wireless networks". W 2020 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMCSI). IEEE, 2020. http://dx.doi.org/10.1109/emcsi38923.2020.9191518.
Pełny tekst źródłaRowley, Jack, i Haim Mazar. "Misunderstandings about radiofrequency electromagnetic field exposure and 5G misinformation". W 2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS). IEEE, 2021. http://dx.doi.org/10.1109/comcas52219.2021.9629063.
Pełny tekst źródłaDerat, Benoit. "5G antenna characterization in the far-field: How close can far-field be?" W 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.
Pełny tekst źródłaBelaya, О. V. "EXPERIMENTAL STUDY OF 2-5G BASE STATION ELECTROMAGNETIC FIELD CHRONIC EXPOSURE NERVOUS SYSTEM EFFECT TYPOLOGICAL FEATURES". W 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.
Pełny tekst źródłaPersia, Samuela, Claudia Carciofi, Marina Barbiroli, Cristina Volta, Daniele Bontempelli i Giuseppe Anania. "Radio Frequency Electromagnetic Field Exposure Assessment for future 5G networks". W 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.
Pełny tekst źródłaFellan, Amina, Christopher Hobelsberger, Christian Schellenberger, Daniel Lindenschmitt i Hans D. Schotten. "Electromagnetic Field Strength Measurements in a Private 5G Campus Network". W 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.
Pełny tekst źródłaSierra Castañer, M. "The Challenge of Electromagnetic Field Measurements for Modern 5G Devices". W 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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