CALL FOR CHAPTER
IoT-Enabled Convolutional Neural Networks: Techniques and Applications
Editors : Dr. Mohd Naved, Dr V. Ajantha Devi, Dr Loveleen Gaur & Dr. Ahmed A.Elngar
In this edited book, we plan to provide a structured presentation of CNN applications related to vision, speech, and natural language processing. We will present a broad range of CNN tools techniques and applications such as semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, natural language processing, traffic and signaling, driverless driving and radiology.
Convolutional Neural Networks (CNNs) perform exceptionally well in a variety of machine learning and deep learning applications. As sensor-equipped internet of things (IoT) devices pervade every part of modern life, running CNN inference, a computationally intensive application, on resource-constrained devices is becoming increasingly critical.
Unlike other books available on the market, this book will address the tools, techniques and challenges of CNN algorithms implementation, computation time, and the complexity of reasoning and modelling different types of data. It will also include active research trends and future directions of CNN.
Chapters relevant to the topic are invited, including but not limited to following:
Introduction to IoT-enabled CNN Techniques
IoT-enabled CNN: A Systematic Review and Bibliometric Analysis
IoT-enabled CNN Architectures
Applications of IoT-enabled CNN for Natural Language Processing
Understanding the IoT-enabled CNN for Computer Vision
IoT-enabled CNN on Analyzing Documents
IoT-enabled CNN under Decoding Object Recognition
IoT-enabled CNN for Business Applications
IoT-enabled CNN in Understanding Climate Change
Future Research Perspectives of CNN and IoT
Abstract Submission : 20th Sept. 2021
Abstract Acceptance : 30 Sept. 2021
Full Chapter Submission : 30th Oct. 2021
First Decision/Corrections : 15th Nov. 2021
Final Chapter Due : 10th Dec. 2021
Submission Process
All the contributors are invited to submit their proposal in file specifying:
Proposed/Tentative Title of the Chapter
List of contributing co-authors (Specify affiliation for each coauthor)
Abstract- 300 words
6 Keywords
Table of Contents/Tentative Structure of the Chapter.
The Submission for the Proposal is welcome till 5th Sept. 2021 via following EasyChair link.
https://easychair.org/my/conference?conf=iotcnn2021
Inquires can be forwarded to:
Dr. Mohd Naved | Email: mohdnaved@gmail.com ; Mobile: +91-98998 86500 (WhatsApp also available)
Dr V. Ajantha Devi | Email: ap3solutionsresearch@gmail.com ; Mobile: +91-9444284265
Dr Loveleen Gaur | Email: gaurloveleen@yahoo.com
Dr. Ahmed A.Elngar | Email: elngar_7@yahoo.co.uk
Dr. Mohd Naved
Dr V. Ajantha Devi
Dr Loveleen Gaur
Dr. Ahmed A.Elngar
Note : There are no submission or acceptance fees for manuscripts submitted to this book publication, “IoT-Enabled Convolutional Neural Networks: Techniques and Applications ”
All manuscripts are accepted based on a double-blind peer review editorial process.