Examining the Impact of Deep Learning and IoT on Multi-Industry Applications, 1 volume

ISBN 10: 1799883582 / ISBN 13: 9781799883586

Edité par Engineering Science Reference, 2021

A propos de cet article

Provides insights on how deep learning, together with IoT, impacts various sectors such as healthcare, agriculture, cyber security, and social media analysis applications. Chapters present solutions to various real-world problems using these methods from va.

N° de réf. du vendeur 448342940

Détails bibliographiques

• Titre: Examining the Impact of Deep Learning and IoT on Multi-Industry Applications, 1 volume
• Éditeur: Engineering Science Reference
• Date de parution: 2021
• Langue: anglais
• ISBN à 10 chiffres: 1799883582
• ISBN à 13 chiffres: 9781799883586
• Reliure: Couverture souple
• État de l'article: New

A propos de ce titre

Synopsis

Deep learning, as a recent AI technique, has proven itself efficient in solving many real-world problems. Deep learning algorithms are efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and developing domains of computer technology. Deep learning algorithms have brought a revolution in computer vision applications by introducing an efficient solution to several image processing-related problems that have long remained unresolved or moderately solved. Various significant IoT technologies in various industries, such as education, health, transportation, and security, combine IoT with deep learning for complex problem solving and the supported interaction between human beings and their surroundings. The Handbook of Research on the Impact of Deep Learning and IoT on Multi-Industry Applications provides insights on how deep learning, together with IoT, impacts various sectors such as healthcare, agriculture, cyber security, and social media analysis applications. The chapters present solutions to various real-world problems using these methods from various researchers' points of view. While highlighting topics such as medical diagnosis, power consumption, livestock management, security, and social media analysis, this book is ideal for IT specialists, technologists, security analysts, medical practitioners, imaging specialists, diagnosticians, academicians, researchers, industrial experts, scientists, and undergraduate and postgraduate students who are working in the field of computer engineering, electronics, and electrical engineering.

À propos des auteurs

Roshani Raut has obtained her BE degree in Computer Science and Engineering from Rashta Sant Tukdoji Maharaj, Nagpur University, India and ME in Computer Science and Engineering from Savitribai Phule Pune University, India. She has completed her doctorate in Computer Science and Engineering from Sant Gadge Baba Amravati University, Amravati, India. She has more than 16 years of experience and currently she is working as a Associate Professor in the Department of Computer Engineering of Vishwakarma Institute of Information Technology, Pune, India. She worked as a TPC member and She worked as a Reviewer for various conference including IEEE-ICCUBEA-2016, IEEE-ICCUBEA-2017, She also worked as a convener for BCUD sponsored workshops, national and international conferences. She has been selected for Outstanding woman in Engineering Award by VIWA.

Albena Dimitrova Mihovska , PhD (2008), is an Associate Professor at Aarhus University, Department of Business Development and Technologies, where she is with the CTIF Global Capsule and MBIT research group. Her main activities relate to research in the area of smart dense connectivity and related applications; 5G ultradense access networks, Internet of Things technologies for healthcare and smart grid, and most recently, holographic communications, digital technologies and their impact on business.