Academic literature on the topic 'Cellular telephone calls'
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Journal articles on the topic "Cellular telephone calls"
Joachim, Dale, and Eben Goodale. "On the use of cellular telephony for audio interaction with animals." Biology Letters 3, no. 6 (August 22, 2007): 603–6. http://dx.doi.org/10.1098/rsbl.2007.0386.
Full textRedelmeier, Donald A., and Robert J. Tibshirani. "Association between Cellular-Telephone Calls and Motor Vehicle Collisions." New England Journal of Medicine 336, no. 7 (February 13, 1997): 453–58. http://dx.doi.org/10.1056/nejm199702133360701.
Full textWang, C. Jason, Alison A. Little, Jaime Bruce Holliman, Chun Y. Ng, Alejandra Barrero-Castillero, Chong Min Fu, Barry Zuckerman, and Howard Bauchner. "Communication of Urgent Public Health Messages to Urban Populations: Lessons From the Massachusetts Water Main Break." Disaster Medicine and Public Health Preparedness 5, no. 3 (October 2011): 235–41. http://dx.doi.org/10.1001/dmp.2011.69.
Full textEnglisher, Larry S., Richard D. Juster, Susan Bregman, David G. Koses, and Alicia Powell Wilson. "User Perceptions of SmarTraveler Advanced Traveler Information System: Findings from Second-Year Evaluation." Transportation Research Record: Journal of the Transportation Research Board 1537, no. 1 (January 1996): 63–69. http://dx.doi.org/10.1177/0361198196153700109.
Full textSasongko, Anky Ismas. "Billing Management System Design for Cellular Phone Network Practicum Module 2.4 Ghz WiFi Transmission." Jurnal Jartel: Jurnal Jaringan Telekomunikasi 6, no. 1 (May 7, 2018): 17–22. http://dx.doi.org/10.33795/jartel.v6i1.133.
Full textEnglisher, Larry S., Susan Bregman, Stephen Pepin, and Alicia Powell Wilson. "Promoting Advanced Traveler Information Systems Among Cellular and Land-Line Phone Users: SmarTraveler Experience in Boston." Transportation Research Record: Journal of the Transportation Research Board 1588, no. 1 (January 1997): 63–69. http://dx.doi.org/10.3141/1588-08.
Full textRamalingam, Mritha, S. J. Sultanuddin, N. Nithya, T. F. Michael Raj, T. Rajesh Kumar, S. J. Suji Prasad, Essam A. Al-Ammar, M. H. Siddique, and Sridhar Udayakumar. "Light Weight Deep Learning Algorithm for Voice Call Quality of Services (Qos) in Cellular Communication." Computational Intelligence and Neuroscience 2022 (August 30, 2022): 1–8. http://dx.doi.org/10.1155/2022/6084044.
Full textSarkar, Sheila, Alanna Martineau, Mohammad Emami, Mohammad Khatib, and Karen Wallace. "Aggressive Driving and Road Rage Behaviors on Freeways in San Diego, California: Spatial and Temporal Analyses of Observed and Reported Variations." Transportation Research Record: Journal of the Transportation Research Board 1724, no. 1 (January 2000): 7–13. http://dx.doi.org/10.3141/1724-02.
Full textSetyawan, Hamim. "PENGUATAN EKONOMI PESANTREN MELALUI MANAJEMEN UNIT USAHA AIDITEL DI PONDOK PESANTREN API SYUBBANUL WATHON SECANG." PRIMA PORTAL RISET DAN INOVASI PENGABDIAN MASYARAKAT 3, no. 1 (January 31, 2024): 66–72. http://dx.doi.org/10.55047/prima.v3i1.1069.
Full textGopi, B., J. Logeshwaran, and T. Kiruthiga. "An Innovation in the Development of a Mobile Radio Model for a Dual-Band Transceiver in Wireless Cellular Communication." BOHR International Journal of Computational Intelligence and Communication Network 1, no. 1 (2022): 20–25. http://dx.doi.org/10.54646/bijcicn.004.
Full textDissertations / Theses on the topic "Cellular telephone calls"
Ho, Chi-Jui. "Call admission control in cellular networks." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/15730.
Full textKeung, Yik. "Dynamic threshold call admission control policy of multi-service wireless cellular networks : a statistical approach /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?PHYS%202004%20KEUNG.
Full textIncludes bibliographical references (leaves 80-81). Also available in electronic version. Access restricted to campus users.
Abidogun, Olusola Adeniyi. "Data mining, fraud detection and mobile telecommunications: call pattern analysis with unsupervised neural networks." Thesis, University of the Western Cape, 2005. http://etd.uwc.ac.za/index.php?module=etd&.
Full textmarketing and fraud detection. One of the strategies for fraud detection checks for signs of questionable changes in user behavior. Although the intentions of the mobile phone users cannot be observed, their intentions are reflected in the call data which define usage patterns. Over a period of time, an individual phone generates a large pattern of use. While call data are recorded for subscribers for billing purposes, we are making no prior assumptions about the data indicative of fraudulent call patterns, i.e. the calls made for billing purpose are unlabeled. Further analysis is thus, required to be able to isolate fraudulent usage. An unsupervised learning algorithm can analyse and cluster call patterns for each subscriber in order to facilitate the fraud detection process.
This research investigates the unsupervised learning potentials of two neural networks for the profiling of calls made by users over a period of time in a mobile telecommunication network. Our study provides a comparative analysis and application of Self-Organizing Maps (SOM) and Long Short-Term Memory (LSTM) recurrent neural networks algorithms to user call data records in order to conduct a descriptive data mining on users call patterns.
Our investigation shows the learning ability of both techniques to discriminate user call patterns
the LSTM recurrent neural network algorithm providing a better discrimination than the SOM algorithm in terms of long time series modelling. LSTM discriminates different types of temporal sequences and groups them according to a variety of features. The ordered features can later be interpreted and labeled according to specific requirements of the mobile service provider. Thus, suspicious call behaviours are isolated within the mobile telecommunication network and can be used to to identify fraudulent call patterns. We give results using masked call data
from a real mobile telecommunication network.
Yilmaz, Nusrat. "Resource Management In Cellular Communication Networks With Subscriber Profile Prediction." Phd thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606274/index.pdf.
Full textHancox, Graham. "Factors affecting drivers willingness to engage with a mobile phone while driving." Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/14754.
Full textLilith, Nimrod. "Reinforcement learning-based resource allocation in cellular telecommunications systems." 2005. http://arrow.unisa.edu.au:8081/1959.8/46306.
Full textBooks on the topic "Cellular telephone calls"
Association, Telecommunications Industry. Uniform dialing procedures and call processing treatment for cellular radio telecommunications: TIA/EIA interim standard. Arlington, VA (2500 Wilson Blvd, Arlington 22201): Telecommunications Industry Association, 1995.
Find full textOffice, General Accounting. Telecommunications: FCC should include call quality in its annual report on competition in mobile phone services : report to the Honorable Anthony D. Weiner, House of Representatives. Washington, D.C: GAO, 2003.
Find full textSafe Prisons Communication Act of 2009: Report of the Committee on Commerce, Science, and Transportation on S. 251. Washington: U.S. G.P.O., 2009.
Find full textMcclallen, Filomena. Simplify Cellular Network Concepts : Systematic Methods to Prepare and Analyze Call Detail Records: Understand Historical Cellular Telephone Data. Independently Published, 2021.
Find full textStewart, Gail B. Cell phones and distracted driving. 2015.
Find full textBook chapters on the topic "Cellular telephone calls"
Fuke, Hidenori. "Structural Changes and Regulatory Challenges in Japanese Telecommunications." In Networking and Telecommunications, 1812–30. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-986-1.ch116.
Full textPawar, V. P., Bhagyashree Kunte, and Srinivas Tumuluri. "The Indian Telecom Distress." In Indian Business Case Studies Volume II, 121—C14.P33. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780192869388.003.0014.
Full textHeim, Michael. "VR 101." In Virtual Realism. Oxford University Press, 1998. http://dx.doi.org/10.1093/oso/9780195104264.003.0006.
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