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This book provides insights into deep learning techniques that impact the implementation strategies toward achieving the Sustainable Development Goals (SDGs) laid down by the United Nations for its 2030 agenda, elaborating on the promises, limits, and the new challenges. It also covers the challenges, hurdles, and opportunities in various applications of deep learning for the SDGs. A comprehensive survey on the major applications and research, based on deep learning techniques focused on SDGs through speech and image processing, IoT, security, AR-VR, formal methods, and blockchain, is a feature of this book. In particular, there is a need to extend research into deep learning and its broader application to many sectors and to assess its impact on achieving the SDGs. The chapters in this book help in finding the use of deep learning across all sections of SDGs. The rapid development of deep learning needs to be supported by the organizational insight and oversight necessary for AI-based technologies in general; hence, this book presents and discusses the implications of how deep learning enables the delivery agenda for sustainable development.
This informative volume on the shifting requirements of the hospitality service industry aims to incorporate smart information technology into tourism services. A resource written specifically for tourism service industry professionals, it provides a focused approach to introducing Industry 4.0-related technologies. It explains how artificial intelligence can support a company’s strategy to revolutionize the business by using smart technology most effectively. The chapters explore artificial intelligence, Internet of Things, big data, blockchain, and automation and robotics in the hospitality industry.
This book covers aspects of data science and predictive analytics used in the oil and gas industry by looking into the challenges of data processing and data modelling unique to this industry. It includes upstream management, intelligent/digital wells, value chain integration, crude basket forecasting, and so forth. It further discusses theoretical, methodological, well-established, and validated empirical work dealing with various related topics. Special focus has been given to experimental topics with various case studies. Features: Provides an understanding of the basics of IT technologies applied in the oil and gas sector Includes deep comparison between different artificial intelligence techniques Analyzes different simulators in the oil and gas sector as well as discussion of AI applications Focuses on in-depth experimental and applied topics Details different case studies for upstream and downstream This book is aimed at professionals and graduate students in petroleum engineering, upstream industry, data analytics, and digital transformation process in oil and gas.
EVOLVING NETWORKING TECHNOLOGIES This book discusses in a practical manner some of the critical security challenges facing the ever-evolving networking technologies of today. In an age of explosive worldwide growth of electronic data storage and communications, effective protection of information has become a critical requirement, especially when used in coordination with other tools for information security and cryptography in all of its applications, including data confidentiality, data integrity, and user authentication. While the importance of cryptographic technique, i.e., encryption, in protecting sensitive and critical information and resources cannot be overemphasized, an examination...
This book features selected papers presented at Third International Conference on International Conference on Information Management and Machine Intelligence (ICIMMI 2021) held at Poornima Institute of Engineering & Technology, Jaipur, Rajasthan, India during 23 – 24 December 2021. It covers a range of topics, including data analytics; AI; machine and deep learning; information management, security, processing techniques and interpretation; applications of artificial intelligence in soft computing and pattern recognition; cloud-based applications for machine learning; application of IoT in power distribution systems; as well as wireless sensor networks and adaptive wireless communication.
This book presents overall communication technologies and protocols used in IoT like in networks: Wi-Fi, Bluetooth, Zigbee, LoRA, GSM/GPRS/EDGE/LTE, etc. in applications: MQTT, CoAP, AMQP, XMPP, etc, focusing on the architecture and threat perseverance of each. The book also presents new/future technological additions like Wi-Fi HaLow (802.11ah), HEW (802.11ax), BLE, NFC, RFID, etc.,) and upcoming changes in communication systems in IoT and its possible security aspects. The book also covers security aspects in communication mechanisms in domain-specific IoT solutions for healthcare, smart cities, smart homes, smart vehicles, etc. The objective of the book is to assist IoT developers to have a good insight into available and upcoming communication technologies so that they can employ the best possible practices while designing and developing IoT solutions.
Navigation has become highly intelligent over the last 100 years. Today, we have autonomous navigation in several vehicles that is being revolutionized through computational intelligence. This book, Advances in Autonomous Navigation through Intelligent Technologies, presents today’s issues, solutions, and adaptation techniques for creating safe autonomous navigating vehicles with the use of advanced technologies. The chapters in the book discuss autonomous navigation as a major issue in robotics and artificial intelligence. The book covers a range of topics that include the architecture of autonomous navigation, algorithms for robot positioning and navigation, methodologies for controlling...
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Intelligent Semantic Analysis for Healthcare explores the latest trends, developments, and future directions of intelligent semantic analysis techniques on retrieving and managing meaningful medical information for healthcare information systems, retrieving smart and relevant information with less time and cost. This book explores different computational methods, ideas, strategies, and techniques to analyze relevant healthcare information in an innovative and efficient way, bridging the gap between gathering and comprehending data with healthcare and biological applications. This book offers a comprehensive view of intelligent semantic analysis in healthcare, bridging the gap between data collection and healthcare applications, and providing innovative computational methods for data analysis. It focuses on intelligent semantic analysis specifically, rather than broader topics of big data and healthcare analytics. Additionally, it is geared towards practical approaches and innovative techniques for state-of-the-art and current challenges in healthcare data management.