Intelligent Computing Paradigm and Cutting-Edge Technologies: Proceedings of the Second International Conference on Innovative Computing and Cutting-E, Favorskaya Margarita N., Peng Sheng-Lung, Simic Milan
Описание: This book constitutes the refereed conference proceedings of the Third International Conference on Emerging Technologies in Computing, iCEtiC 2020, held in London, UK, in August 2020.
Описание: This book discusses fundamental and high-level concepts relating to intelligent computing and communications in the context of distributed computing, big data, high performance computing and the Internet of Things.
Автор: Lakhmi C. Jain; Sheng-Lung Peng; Basim Alhadidi; S Название: Intelligent Computing Paradigm and Cutting-edge Technologies ISBN: 3030385000 ISBN-13(EAN): 9783030385002 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses fundamental and high-level concepts relating to intelligent computing and communications in the context of distributed computing, big data, high performance computing and the Internet of Things.
This book constitutes the refereed conference proceedings of the Second International Conference on Emerging Technologies in Computing, iCEtiC 2019, held in London, UK, in August 2019. The 24 revised full papers were reviewed and selected from 52 submissions and are organized in topical sections covering blockchain and cloud computing, security, wireless sensor networks and Internet of Things, (IoT), FinTech, AI, big data and data analytics.
Описание: This book constitutes the proceedings of the 26th International Conference on Collaboration Technologies and Social Computing, CollabTech 2020. The 10 full and 5 work-in-progress papers presented in this volume were carefully reviewed and selected from 25 submissions.
Описание: This book constitutes the proceedings of the 15th International Conference on Parallel Computing Technologies, PaCT 2019, held in Almaty, Kazakhstan, in August 2019. The 24 full papers and 10 short papers presented were carefully reviewed and selected from 72 submissions.
Описание: People use science every single day in their jobs! From a smoothie maker creating a vortex to blend fruit and vegetables to firefighters extinguishing a blaze by breaking the fire triangle, the jobs and occupations at the heart of this super-creative non-fiction read will inspire all children to seek out the everyday science in the world around us.
Описание: Covering recent advances in next-generation computing, the book focuses on recent developments in intelligent computing, such as linguistic computing, statistical computing, data computing and ambient applications.
Описание: The book also presents the new algorithms and methodologies for promoting advances in common intelligent computing and control methodologies including evolutionary computation, artificial life, virtual infrastructures, fuzzy logic, artificial immune systems, neural networks and various neuro-hybrid methodologies.
Описание: This two-volume set of LNCS 12463 and LNCS 12464 constitutes - in conjunction with the volume LNAI 12465 - the refereed proceedings of the 16th International Conference on Intelligent Computing, ICIC 2020, held in Bari, Italy, in October 2020.
Описание: Preventing Neural Network Weight Stealing via Network Obfuscation.- DiaTTroD: A Logical Agent Diagnostic Test for Tropical Diseases.- A Weighted Combination Method of Multiple K-Nearest Neighbor Classifiers for EEG-based Cognitive Task Classification.- Analysis and Detection of Brain Tumor using U-Net-based Deep Learning.- Implementing Variable Power Transmission Patterns for Authentication Purposes.
Описание: Urban Mobility Swarms: A Scalable Implementation.- Prediction of Cumulative Grade Point Average: A Case Study.- A Teaching-Learning-based Optimization with Modified Learning Phases for Continuous Optimization.- Use of Artificial Intelligence and Machine Learning for Personalization Improvement in Developed e-Material Formatting Application.- Reduced Order Modeling Assisted By Convolutional Neural Network for Thermal Problems with Nonparametrized Geometrical Variability.- Non-linear Aggregation of Filters to Improve Image Denoising.
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