Advances in Data Science and Computing Technology Methodology and ApplicationsКНИГИ » ОС И БД
Название: Advances in Data Science and Computing Technology Methodology and Applications Автор: Suman Ghosal, Amitava Choudhury Издательство: CRC Press, Apple Academic Press, Inc. Год: 2022 Страниц: 449 Язык: английский Формат: pdf (true) Размер: 41.9 MB
This volume helps to address the genuine 21st century need for advances in Data Science and Computing Technology. It provides an abundance of new research and studies on progressive and innovative technologies, including Artificial Intelligence (AI), communication systems, cyber security applications, data analytics, Internet of Things (IoT), Machine Learning (ML), power systems, VLSI, embedded systems, and much more. The book presents a variety of interesting and important aspects of Data Science and Computing Technologies and methodologies in a wide range of applications, including deep learning, DNA cryptography, classy fuzzy MPPT controller, driving assistance, and safety systems. Novel algorithms and their applications for solving cutting-edge computational and Data Science problems are included also for an interdisciplinary research perspective.
The book addresses recent applications of Deep Learning (DL) and ANN paradigms, the role and impact of Big Data in the e-commerce and retail sectors, algorithms for load balancing in cloud computing, advances in embedded system based applications, optimization techniques using a MATLAB platform, and techniques for improving information and network security.
Advances in Data Science and Computing Technology: Methodology and Applications provides a wealth of valuable information and food for thought on many important issues for data scientists and researchers, industry professionals, and faculty and students in the data and computing sciences.
This book consists of 26 chapters, covering discussion on innovative algorithms and their applications for solving cutting-edge computational and data science problems with an interdisciplinary research perspective. All 26 chapters are divided in following seven parts containing interdisciplinary applications and methodologies of Data Science and Computing Technologies:
Part I: Recent Application of Deep Learning and ANN Paradigm Part II: Role and Impact of Big Data in E-Commerce and the Retail Sector Part III: Algorithm for Load Balancing in Cloud Computing Part IV: Advances in Embedded System-Based Applications Part V: Optimization Technique Using MATLAB Platform Part VI: Technique for Improving Information and Network Security Part VII: Miscellaneous Topics in Computing
Скачать Advances in Data Science and Computing Technology Methodology and Applications
The Nine Pillars of Technologies for Industry 4.0 Название: The Nine Pillars of Technologies for Industry 4.0 Автор: Edited by Wai Yie Leong, Joon Huang Chuah and Boon Tuan Tee Издательство: The...
Advances in Applications of Data-Driven Computing Название: Advances in Applications of Data-Driven Computing Автор: Jagdish Chand Bansal, Lance C. C. Fung, Milan Simic Издательство: Springer Год:...
Data Science and Big Data Analytics Название: Data Science and Big Data Analytics Автор: Editors: Durgesh Kumar Mishra, Xin-She Yang, Aynur Unal Издательство: Springer Год: 2019 Формат:...
Навигация
Вход на сайт
Реклама
Advances in Data Science and Computing Technology Methodology and Applications 
Название: Advances in Data Science and Computing Technology Methodology and Applications
