Intelligent Computing Paradigm and Cutting-edge Technologies: Proceedings of the Second International Conference on Innovative Computing and Cutting-edge Technologies (ICICCT 2020)

Favorskaya, Margarita N. (Edited by)/ Peng, Sheng-Lung (Edited by)/ Simic, Milan (Edited by)/ Alhadidi, Basim (Edited by)/ Pal, Souvik (Edited by)

ISBN 10: 3030654060 / ISBN 13: 9783030654061

Edité par Springer, 2021

A propos de cet article

484 pages. 9.25x6.10x1.30 inches. In Stock.

N° de réf. du vendeur x-3030654060

Détails bibliographiques

• Titre: Intelligent Computing Paradigm and Cutting-edge Technologies: Proceedings of the Second International Conference on Innovative Computing and Cutting-edge Technologies (ICICCT 2020)
• Éditeur: Springer
• Date de parution: 2021
• Langue: anglais
• ISBN à 10 chiffres: 3030654060
• ISBN à 13 chiffres: 9783030654061
• Reliure: Hardcover
• État de l'article: Brand New

A propos de ce titre

Synopsis

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.