Recent Advances In Intelligent Systems And Smart Applications


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Recent Advances in Intelligent Systems and Smart Applications


Recent Advances in Intelligent Systems and Smart Applications

Author: Mostafa Al-Emran

language: en

Publisher: Springer Nature

Release Date: 2020-06-26


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This book explores the latest research trends in intelligent systems and smart applications. It presents high-quality empirical and review studies focusing on various topics, including information systems and software engineering, knowledge management, technology in education, emerging technologies, and social networks. It provides insights into the theoretical and practical aspects of intelligent systems and smart applications.

Recent Advances in Intelligent Systems and Smart Applications


Recent Advances in Intelligent Systems and Smart Applications

Author: Mostafa Al-Emran

language: en

Publisher:

Release Date: 2021


DOWNLOAD





This book explores the latest research trends in intelligent systems and smart applications. It presents high-quality empirical and review studies focusing on various topics, including information systems and software engineering, knowledge management, technology in education, emerging technologies, and social networks. It provides insights into the theoretical and practical aspects of intelligent systems and smart applications.

Recent Advances in Internet of Things and Machine Learning


Recent Advances in Internet of Things and Machine Learning

Author: Valentina E. Balas

language: en

Publisher: Springer Nature

Release Date: 2022-02-14


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This book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential components of some smart applications. Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and retail. So, in this book, the main objective is to capture this multifaceted nature of IoT and machine learning in one single place. According to the contribution of each chapter, the book also provides a future direction for IoT and machine learning research. The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues, and enable researchers and practitioners from both academia and industry to interact with each other regarding emerging technologies related to IoT and machine learning. In this book, we look for novel chapters that recommend new methodologies, recent advancement, system architectures, and other solutions to prevail over the limitations of IoT and machine learning.