Results 51 to 60 of about 7,289 (97)

A comprehensive mechanism of biological and health effects of anthropogenic extremely low frequency and wireless communication electromagnetic fields. [PDF]

Front Public Health
Panagopoulos DJ, Yakymenko I, De Iuliis GN, Chrousos GP.   +3 more
europepmc   +1 more source

Multidisciplinary Contributions and Research Trends in eHealth Scholarship (2000-2024): Bibliometric Analysis.

J Med Internet Res
Ivanitskaya LV, Zikos D, Erzikova E.
europepmc   +1 more source

Magnetic nanosheets: from iron oxide nanocubes to polydopamine embedded 2D clusters and their multi-purpose properties.

Nanoscale Horiz
Mandriota G, Avugadda SK, Sadeghi E, Silvestri N, Marotta R, Gavilán H, Olsson U, Giannini C, Tsai YH, Samia ACS, Pellegrino T.   +10 more
europepmc   +1 more source

An adaptive radio link protocol with enhanced data rates for GSM evolution

IEEE Personal Communications, 1999
In this article we address the problem of link adaptation in a wireless data system. Link adaptation is necessary in order to match the data rate to time-varying channel and interference conditions. We present a robust radio link protocol (RLP) based on the concept of incremental redundancy (IR).
J. Whitehead, N. Seshadri, R. van Nobelen, S. Timiri   +3 more
semanticscholar   +4 more sources

EDGE: enhanced data rates for GSM and TDMA/136 evolution

IEEE Personal Communications, 1999
Two of the major second-generation standards, GSM and TDMA/136, have built the foundation to offer a common global radio access for data services. Through use of a common physical layer, EDGE, both standards will have the same evolutionary path toward providing third-generation services.
H. Olofsson, A. Furuskar, F. Muller, S. Mazur   +3 more
semanticscholar   +4 more sources

EDGE: Enhanced Data Rates for GSM and TDMA/136 Evolution

, 2009
This chapter contains sections titled: Introduction Background Physical Layer Link Layer EGPRS Performance Conclusions This chapter contains sections titled ...
Shigeaki Ogose, Mansoor Shafi, Takeshi Hattori   +2 more
semanticscholar   +4 more sources

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BiLSTM Based Traffic Prediction for the Reduction of Energy Consumption on a Tri-Sector Radio Site of an EDGE Mobile Network

2024 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)
This article investigates the application of a Bidirectional Long Short-Term Memory (BiLSTM) prediction model to estimate traffic in an Enhanced Data rates for GSM Evolution (EDGE) mobile network.
M. G. Azehoun Pazou, R. Hontinfinde, Raïssa Tchibozo Houessou, Aurel Agbodoyetin, J. Fannou, C. Akowanou   +5 more
semanticscholar   +1 more source

Cancer Statistics, 2021

Ca-A Cancer Journal for Clinicians, 2021
Rebecca L Siegel, Kimberly D Miller
exaly  

Turbo-detection for Enhanced Data for GSM Evolution

Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324), 1999
V. Franz, G. Bauch
semanticscholar   +1 more source