Advances in Data Science and Computing Technology: Methodology and Applications

Ghosal, Suman (Editor)/ Choudhury, Amitava (Editor)/ Saxena, Vikram Kumar (Editor)/ Biswas, Arindam (Editor)/ Chatterjee, Prasenjit (Editor)

ISBN 10: 1774639971 / ISBN 13: 9781774639979

Verlag: Apple Academic Pr Inc, 2022

Beschreibung

420 pages. 9.19x6.13x1.20 inches. In Stock.

Bestandsnummer des Verkäufers x-1774639971

Bibliografische Details

• Titel: Advances in Data Science and Computing Technology: Methodology and Applications
• Verlag: Apple Academic Pr Inc
• Erscheinungsjahr: 2022
• Sprache: Englisch
• ISBN-10: 1774639971
• ISBN-13: 9781774639979
• Einband: Hardcover
• Zustand: Brand New
• Gewicht: 0,99 Kilogramm

Über diesen Titel

Inhaltsangabe

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, communication systems, cyber security applications, data analytics, Internet of Things (IoT), machine learning, 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 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.

Über die Autorin bzw. den Autor

Suman Ghosal, Arindam Biswas