Intelligent Computing Paradigm and Cutting-edge Technologies

Proceedings of the Second International Conference on Innovative Computing and Cutting-edge Technologies (ICICCT 2020)
Herausgegeben:Favorskaya, Margarita N.; Peng, Sheng-Lung; Simic, Milan; Alhadidi, Basim; Pal, Souvik

• Gebundenes Buch

Produktbeschreibung

This book aims to bring together Researchers, Scientists, Engineers, Scholars and Students in the areas of computer engineering and information technology, and provides a forum for the dissemination of original research results, new ideas, Research and development, practical experiments, which concentrate on both theory and practices, for the benefit of the society. The book also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Computer Science and Information Technology in the context of Distributed computing, Big data, High performance computing, Internet-of-Things, and digital pedagogy. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure and privacy-aware mechanisms in high performance computing and IoT applications. This book aspires to convey researchers' experiences, to present excellent result analysis, future scopes, and challenges facing the field of computer science, information technology, telecommunication, and digital pedagogy.

This book aims to attract researchers and practitioners who are working in Information Technology and Computer Science. This book is about basics and high level concepts regarding intelligent computing paradigm, communications, and digital learning process. The book serves as a useful guide for Undergraduates, Postgraduates and Research Scholar in the field of Computer Science, Information Technology, and Electronics Engineering. We believe that this volume not only presents novel and interesting ideas but also will stimulate interesting discussions from the participants and inspire new ideas.

Produktdetails

• Learning and Analytics in Intelligent Systems 21
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-030-65406-1
• 1st ed. 2021
• Seitenzahl: 488
• Erscheinungstermin: 23. April 2021
• Englisch
• Abmessung: 241mm x 160mm x 32mm
• Gewicht: 893g
• ISBN-13: 9783030654061
• ISBN-10: 3030654060
• Artikelnr.: 60494200

Inhaltsangabe

Chapter 1: Throat Microphone Speech Enhancement using Machine Learning Technique.- Chapter 2: Use of Artificial Nueral Network to Predict the Yield of Sinter Plant as a Function of Production Parameters.- Chapter 3: An Approach to Self-Reliant Smart Road using Piezoelectric Effect and Sensor Nodes.- Chapter 4: Using static and dynamic image maps built by Graphic Interchange Format (GIF) and Geographic Information System.- Chapter 5: (GIS) for project based learning air pollution in schools in Hanoi, Vietnam.- Chapter 6: Prediction of Autism Spectrum Disorder Using Feature Engineering for Machine Learning Classifiers.- Chapter 7: A Novel and Smart Parking System for the University Parking System.- Chapter 8: Role of M-Cord Computing Architecture for Over the Top (OTT) Services and Applications.- Chapter 9: Application of virtual reality and augmented reality technology for teaching Biology at High School in Vietnam.- Chapter 10: Internet of Things Based Gesture Controlled Wheel Chair for Physically Disabled.- Chapter 11: An Adaptive Crack Identification Scheme Using Enhanced Segmentation and Feature Extraction for Electrical discharge machining of Inconel X750.