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VLC system performance using Dicode Pulse Position Modulation over an indoor diffuse link

نوع: Conference Paper

نویسنده : Buhafa, Adel M.; Al-Nedawe, Basman M.; Sibley, Martin J.N.; Mather, Peter J.

ناشر: IEEE

سال: 2014

Stability of feature selection algorithms and its influence on prediction accuracy in biomedical datasets

نوع: Conference Paper

نویسنده : Drotar, Peter; Smekal, Zdenek

ناشر: IEEE

سال: 2014

نوع: Conference Paper

ناشر: IEEE

سال: 2014

SOA nonlinear amplification: A promising fade mitigation technique for optical wireless systems

نوع: Conference Paper

نویسنده : Yiannopoulos, Kostas; Sagias, Nikos C.; Boucouvalas, Anthony C.

ناشر: IEEE

سال: 2014

A Load-Adaptive Beacon Scheduling algorithm for IEEE 802.15.4 mesh topology improving throughput and QoS in WMSNs

نوع: Conference Paper

نویسنده : Baseri, M.; Motamedi, S.A.; Maadani, M.

ناشر: IEEE

سال: 2014

Comparison of different representations based on nonlinear features for music genre classification

نوع: Conference Paper

نویسنده : Zlatintsi, Athanasia; Maragos, Petros

ناشر: IEEE

سال: 2014

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VLC system performance using Dicode Pulse Position Modulation over an indoor diffuse link

Stability of feature selection algorithms and its influence on prediction accuracy in biomedical datasets

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SOA nonlinear amplification: A promising fade mitigation technique for optical wireless systems

A Load-Adaptive Beacon Scheduling algorithm for IEEE 802.15.4 mesh topology improving throughput and QoS in WMSNs

Comparison of different representations based on nonlinear features for music genre classification

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VLC system performance using Dicode Pulse Position Modulation over an indoor diffuse link

Stability of feature selection algorithms and its influence on prediction accuracy in biomedical datasets

Table of contents

SOA nonlinear amplification: A promising fade mitigation technique for optical wireless systems

A Load-Adaptive Beacon Scheduling algorithm for IEEE 802.15.4 mesh topology improving throughput and QoS in WMSNs

Comparison of different representations based on nonlinear features for music genre classification