Performance Improvement through PAPR Reduction in MIMO-OFDM systems using Selective Mapping (SLM) Technique
Abstract
We pray to Sai, Rajarajeswari, Yamini Radha, V.,
Navya Krishna, G., Naga Sri Ram, B., How to
Spot Fake Notes using Convolutional Neural
Networks (2016). A Review of New Research in
Emerging Technologies and New Engineering,
58–63,8 (5).
Also, Mohammed Ali Al-Garadi, Mohammed
Rashid Hussain, Henry Friday Nweke, Ihsanali,
Ghulammujtaba1, Harunachiro Ma,
Hasanalikhattak, and Abdullahgani have written
a piece titled "Predicti-Ngcyber Bullying On
Social Networks."
Last but not least, Li Liu1, Huanjin3,
Yadongzhou, Daewookkim, Junjiezhang,
(Member, Ieee), and
Using (IEEE)ProGuard to Block Malicious
Accounts from Interfering with Online
Advertising Campaigns Hosted on Social
Networks.
Fourth, Radha Poovendran (University of
Washington) and Marco Secchiero's "FakeBook:
Detecting Fake Profiles in Online Social
Networks(2012)" ACM /IEEE International
Conference on Advances in Social Networks
Analysis and Mining (University of Padua).
ni.N. and Smruthi.M., "A Hybrid Scheme for
Detecting Fake Accounts on Facebook,"
International Journal of Recent Technology and
Engineering, Volume 7, Issue 5S3, 2019 (ISSN:
2277-3878).
In the sixth place we have "A Comprehensive
Model for Detecting Fake Profiles in Online
Social Networks(2016)" by Narsimha Gugulothu,
JayadevGyani, and Srinivas Rao Pulluri.
International Journal of Applied Engineering
Research, Volume 13, Issue 6 (2018), Drs.
Narsimha.G, JayadevGyani, and P. Srinivas Rao,
"Fake Profiles Identification in Online Social
Networks Using Machine Learning and
NLP(2018)" (ISSN 0973-4562).
Information extraction and object recognition
using deep learning neural networks from
contour data. The eighth publication is by A. V.
N. Reddy and C. Phanikrishna (2016). Articles on
pages 352 and 354 of the Next Generation
Computing Technologies 2016 Conference
Proceedings. doi:10.1109/NGCT.2016.7877440.
The gods Rama and Krishna, and the goddess
Durga, aka Kanaka. Using collaborative
clustering, dangerous websites may be detected
automatically. International Journal of Electrical
and Computer Engineering, 2016;6(3):995-
1001.
doi:10.11591/ijece.v6i3.9878
Placed at the tenth and tenth positions, Rao, D.,
and Rao, V.Pellakuri. Artificial neural network
models may be trained and developed using
either a single-layer feed-forward or a multilayer
feed-forward neural network architecture
(2016). Information Technology, 150–156, 84
Journal of Theoretical and Applied Information
(2).
To name a few, we have N. Challa, S. K.
Pasupuleti, and J. Chandra.5. A practical plan for defending data from APTs
through e-mail spam filters.
2016 IEEE International Conference on Circuit,
Power, and Computing Technologies,
Doi:10.1109/ICCPCT.2016.7530239
