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This book features a collection of high-quality, peer-reviewed
research papers presented at the 7th International Conference on
Innovations in Computer Science & Engineering (ICICSE 2019),
held at Guru Nanak Institutions, Hyderabad, India, on 16-17 August
2019. Written by researchers from academia and industry, the book
discusses a wide variety of industrial, engineering, and scientific
applications of the emerging techniques in the field of computer
science.
This book features a collection of high-quality, peer-reviewed
research papers presented at the 8th International Conference on
Innovations in Computer Science & Engineering (ICICSE 2020),
held at Guru Nanak Institutions, Hyderabad, India, on 28-29 August
2020. It covers the latest research in data science and analytics,
cloud computing, machine learning, data mining, big data and
analytics, information security and privacy, wireless and sensor
networks and IoT applications, artificial intelligence, expert
systems, natural language processing, image processing, computer
vision and artificial neural networks.
This book features a collection of high-quality, peer-reviewed
research papers presented at the 7th International Conference on
Innovations in Computer Science & Engineering (ICICSE 2019),
held at Guru Nanak Institutions, Hyderabad, India, on 16-17 August
2019. Written by researchers from academia and industry, the book
discusses a wide variety of industrial, engineering, and scientific
applications of the emerging techniques in the field of computer
science.
This book features high-quality papers presented at the
International Conference on Computational Intelligence and
Informatics (ICCII 2018), which was held on 28-29 December 2018 at
the Department of Computer Science and Engineering, JNTUH College
of Engineering, Hyderabad, India. The papers focus on topics such
as data mining, wireless sensor networks, parallel computing, image
processing, network security, MANETS, natural language processing
and Internet of things.
The book is a collection of high-quality peer-reviewed research
papers presented at the Fifth International Conference on
Innovations in Computer Science and Engineering (ICICSE 2017) held
at Guru Nanak Institutions, Hyderabad, India during 18-19 August
2017. The book discusses a wide variety of industrial, engineering
and scientific applications of the engineering techniques.
Researchers from academic and industry present their original work
and exchange ideas, information, techniques and applications in the
field of Communication, Computing and Data Science and Analytics.
This volume contains 70 papers presented at CSI 2014: Emerging ICT
for Bridging the Future: Proceedings of the 49th Annual Convention
of Computer Society of India. The convention was held during 12-14,
December, 2014 at Hyderabad, Telangana, India. This volume contains
papers mainly focused on Machine Learning & Computational
Intelligence, Ad hoc Wireless Sensor Networks and Networks
Security, Data Mining, Data Engineering and Soft Computing.
This volume contains 73 papers presented at CSI 2014: Emerging ICT
for Bridging the Future: Proceedings of the 49th Annual Convention
of Computer Society of India. The convention was held during 12-14,
December, 2014 at Hyderabad, Telangana, India. This volume contains
papers mainly focused on Fuzzy Systems, Image Processing, Software
Engineering, Cyber Security and Digital Forensic, E-Commerce, Big
Data, Cloud Computing and ICT applications.
This book includes high-quality, peer-reviewed research papers from
the 6thInternational Conference on Innovations in Computer Science
& Engineering (ICICSE 2018), held at Guru Nanak Institutions,
Hyderabad, India from August 17 to 18, 2018. The book discusses a
wide variety of industrial, engineering and scientific applications
of the emerging techniques and offers a platform for researchers
from academia and industry to present their original work and
exchange ideas, information, techniques and applications in the
field of computer science.
This book provides a statistical framework for performance modeling
and design of backscatter Radio Frequency Identification (RFID)
systems. The current models for estimating performance are based
purely on EM theory (e.g., using Friis free space equations) or
statistical experimental modeling principles. Models based on EM
theory are limited to specifying power received at the tag under
certain simple, idealized conditions, and do not provide estimates
of read-rates, which are de-facto industry quantifiers of an RFID
system performance. On the other hand, the statistical models,
being purely data-driven, suffer from lack of generalizability as
their results cannot be extrapolated. This book investigates a
statistical approach for assessing the system performance and
proposes an analytical probabilistic model based on Friis free
space expression that captures the uncertainties existing in gain
of tag antenna, power of reader antenna, etc. Finally the book
suggests a set of techniques to increase read-rate probabilities of
RFID tags in the presence of highly metallic environments.
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