Deep Sciences for Computing and Communications: First International Conference, IconDeepCom 2022, Chennai, India, March 17-18, 2022, Revised Selected Papers

This book presents selected papers from the IconDeepCom 2022 conference, covering topics such as classification and regression, deep learning, and industrial informatics, with a focus on deep sciences for computing and communications.

Format: Paperback / softback
Length: 368 pages
Publication date: 19 March 2023
Publisher: Springer International Publishing AG

The book is a compilation of selected papers presented at the First International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2022, held in Chennai, India, in March 2022. Out of the 97 submissions, a rigorous review process resulted in the selection of 27 exceptional papers. These papers are organized into topical sections, covering various aspects of deep sciences for computing and communications.

The first section focuses on classification and regression problems for communication paradigms. It explores the use of deep learning techniques to analyze and understand communication data, such as text, speech, and images. The papers in this section discuss various algorithms and models for tasks like sentiment analysis, speech recognition, and image classification.

The second section delves into deep learning and vision computing. It explores the application of deep neural networks to process and analyze visual data, including images, videos, and 3D models. The papers in this section discuss state-of-the-art techniques for object detection, facial recognition, and autonomous driving.

The third section explores deep-recurrent neural network (RNN) for industrial informatics. It focuses on the use of RNNs in industrial applications, such as process control, fault diagnosis, and predictive maintenance. The papers in this section discuss the advantages of RNNs over traditional machine learning algorithms and their potential for improving industrial efficiency and productivity.

The fourth section extends AI for heterogeneous edge. It explores the use of AI in edge computing environments, where data processing and analysis occur close to the source of data generation. The papers in this section discuss the challenges and opportunities of deploying AI at the edge, as well as the strategies for optimizing AI algorithms for resource-constrained devices.

Overall, the book provides a comprehensive overview of the latest advancements in deep sciences for computing and communications. It serves as a valuable resource for researchers, practitioners, and students interested in this field. The papers presented in this book showcase the cutting-edge research and innovative solutions being developed in the area, and they contribute to the ongoing development of deep learning and its applications in various domains.

Weight: 587g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031276217
Edition number: 1st ed. 2023