[hpc-announce] Call for Chapters CRC Press Book Deep Learning for Internet of Things Infrastructure

[Uttam Ghosh]

CALL FOR CHAPTERS (CFC)



Book TITLE: Deep Learning for Internet of Things Infrastructure

To be published by CRC Press, USA



URL: https://sites.google.com/view/dl-iot/home



Overview



Internet of Things (IoT) is an interconnection of several devices,
networks, technologies and human resources to achieve a common goal. There
is a variety of IoT based applications that are being used in different
sectors and have succeeded in providing huge benefits to the users. Data
Analytics (DA) is defined as a process which is used to examine big and
small data sets with varying data properties to extract meaningful
conclusions from these data sets. Data Analytics has a significant role to
play in the growth and success of IoT applications and investments. The
utilization of data analytics shall, therefore, be promoted in the area of
IoT to gain improved revenues, competitive gain, and customer engagement.
In recent years, Deep Learning approaches have emerged as powerful
computational models and have shown significant success to deal with a
massive amount of data in unsupervised settings. Deep learning is
revolutionizing because it offers an effective way of learning
representation and allows the system to learn features automatically from
data without the need of explicitly designing them. With the emerging
technologies on the Internet of Things, wearable devices, cloud computing
and data analytics offer the potential of acquiring and processing
tremendous amount of data from the physical world. Promising computing
paradigms and advanced technologies (e.g., Smart home or city) relating to
context awareness systems, activity recognition, distributed smart sensing,
heterogeneous big data analytics, and deep learning, etc., have been
increasingly developed and integrated into this IoT systems in order to
make IoT a reality.



Topics of Interest



This edited book solicits contributions from the field of IoT Data
analytics using deep learning.



Each book chapter should cover the solutions with the state-of-the-art and
novel approaches for the IoT problems and challenges in Deep learning
perspectives.



Topics to be discussed in this edited book include but not are limited to:



Introduction to Deep learning and IoT

Recent trends and advances in DL based IoT

Heterogeneous Big data analytics for edge/fog Computing

Novel Network Structures and System Design for DL enabled IoT

Deep Learning architecture for IoT security

Deep Learning experiments, test-beds and prototyping systems for IoT
security

Context-Aware Deep Learning based approaches for IoT

Data confidentiality, Trust and privacy in DL enabled IoT Applications

Analysis of Network Dynamics in IoT (this belongs to only IoT)

Authentication and access control for data usage in IoT (this belongs to
only IoT)

Data mining and statistical modelling for the secure IoT

User Interface design and implementation for DL enabled IoT

User Interface design and evaluation for DL enabled IoT

IoT/big data visualization techniques and application of DL

Activity recognition in a smart home/city using deep learning



Important Dates

·         Full Chapter Submission Deadline: August 31, 2020

·         Notification of Proposal Corrections: October  15, 2020

·         Final Chapter Submission: November 15, 2020

*Submission Instructions*



Each manuscript should be written in a tutorial manner with enough details
so that it can be easily accessible to the readers outside the specialty of
the area.  Expected manuscript length is between 7,000 to 12,000 words.
Longer manuscripts may be allowed based on the topic and need.

Manuscripts submitted for the book must be original, must not be previously
published or currently under review anywhere.

The manuscript must be prepared with proper format using MS-Office (doc or
docx) or LaTex.

Kindly do not use any special formatting or macro for the submission
version, doc or docx file.



General Guideline



Use A4 page with 1 inch (or, 2.54 cm) margin on all sides, single column
format, 1.5 line spacing with 10 point sized font, Times New Roman.

References should be cited within the text with numbers in sequence like
[1], [2], [3], ....

An all-in-one PDF file may be submitted for the initial version.

If the chapter is accepted, formatting style provided by CRC Press must be
followed and Editable files for text (Tex / MS-Office file (doc, docx))
must be supplied.



*Proposal Submission*



A chapter proposal (1-2 page including probable Table of Contents and
Affiliation, Contacts) should be sent to the editors as soon as possible.



*Submission Portal*



https://easychair.org/my/conference?conf=crc_dl_iot-2019



Please create an account if you do not have one.



*Editors*

Uttam Ghosh, Vanderbilt University, Nashville, USA (ghosh.uttam at ieee.org)

Mamoun Alazab, Charles Darwin University, Australia (alazab.m at ieee.org)

Ali Kashif Bashir, Manchester Metropolitan University, UK (
dr.alikashif.b at ieee.org)

Al-Sakib Khan Pathan, Southeast University, Bangladesh (spathan at ieee.org)
---
Uttam Ghosh
Assistant Professor of the Practice
Department of Electrical Engineering and Computer Science
School of Engineering
Vanderbilt University
Mob: +1-615-686-6352
Email: uttam.ghosh at vanderbilt.edu, ghosh.uttam at ieee.org
<ughosh at tnstate.edu>