Thipendra P Singh - Böcker

Social media and crowdsourcing are important tools for solving complex problems. The benefit of crowdsourcing is that it leverages the power of human intelligence cost effectively and with less time. Social Media and Crowdsourcing: Application and Analytics examines the concepts of social media and crowdsourcing as well as their analytical aspects. It explores how these technologies contribute to the real world and examines such applications as promoting social good, agriculture, healthcare, tourism, disaster management, education, crime control, and cultural heritage. The book also looks at ethical issues in crowdsourcing and future scenarios and challenges for policy. Highlights of the book include the following:A crowdsourcing application in agricultureCrowdsourcing outline for a contemporary aided medicinal backup systemCrowdsourcing-based recommendation in the tourism industryCrowdsourcing mechanisms for reviving cultural heritageExpanding the overarching concept of utilizing social media and crowdsourcing to solve various real-life problems, this book discusses how to bring together the wisdom of crowds for various decision-making problems in agriculture, disaster management, and healthcare. It addresses the various ethical issues arising out of various crowdsourcing-based applications. It puts forward diverse methodologies to involve crowdsourcing in education to implement new strategies to enhance learning outcomes. This book also addresses various problem-solving techniques for recommender applications in the travel and tourism industry. Providing a systematic discussion of the many sectors using crowdsourcing as an essential part of social innovation, this book is a theoretical and methodological look at the application of social media.

Social media and crowdsourcing are important tools for solving complex problems. The benefit of crowdsourcing is that it leverages the power of human intelligence cost effectively and with less time. Social Media and Crowdsourcing: Application and Analytics examines the concepts of social media and crowdsourcing as well as their analytical aspects. It explores how these technologies contribute to the real world and examines such applications as promoting social good, agriculture, healthcare, tourism, disaster management, education, crime control, and cultural heritage. The book also looks at ethical issues in crowdsourcing and future scenarios and challenges for policy. Highlights of the book include the following:A crowdsourcing application in agricultureCrowdsourcing outline for a contemporary aided medicinal backup systemCrowdsourcing-based recommendation in the tourism industryCrowdsourcing mechanisms for reviving cultural heritageExpanding the overarching concept of utilizing social media and crowdsourcing to solve various real-life problems, this book discusses how to bring together the wisdom of crowds for various decision-making problems in agriculture, disaster management, and healthcare. It addresses the various ethical issues arising out of various crowdsourcing-based applications. It puts forward diverse methodologies to involve crowdsourcing in education to implement new strategies to enhance learning outcomes. This book also addresses various problem-solving techniques for recommender applications in the travel and tourism industry. Providing a systematic discussion of the many sectors using crowdsourcing as an essential part of social innovation, this book is a theoretical and methodological look at the application of social media.

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 sectorIncludes deep comparison between different artificial intelligence techniquesAnalyzes different simulators in the oil and gas sector as well as discussion of AI applicationsFocuses on in-depth experimental and applied topicsDetails different case studies for upstream and downstreamThis book is aimed at professionals and graduate students in petroleum engineering, upstream industry, data analytics, and digital transformation process in oil and gas.

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 sectorIncludes deep comparison between different artificial intelligence techniquesAnalyzes different simulators in the oil and gas sector as well as discussion of AI applicationsFocuses on in-depth experimental and applied topicsDetails different case studies for upstream and downstreamThis book is aimed at professionals and graduate students in petroleum engineering, upstream industry, data analytics, and digital transformation process in oil and gas.

This book focuses on unearthing nuances of leveraging integrative and cohesive technologies in the Industry 5.0 paradigm for solving problems of business and social enterprises, which need not only be competitive but also sustain value creation for people at large.Highlights the technological evolution and its benefits to industry and societyShowcases the push for industrial digitization and focuses on innovative approaches toward the human operational resilience and true sustainability objectives of Industry 5.0Covers manufacturing, financial, marketing, and human resource techniques to resuscitate enterprises that would boost their acceptance among policymakers of multiple sectorsDiscusses topics such as additive manufacturing, smart manufacturing and intelligence, smart logistics, and resilient manufacturing networksPresents case studies on smart manufacturing networks, smart cities, sustainable urban development, and health monitoring systemsThe text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of industrial engineering, manufacturing engineering, production engineering, business management, mechanical engineering, and engineering management.

Green computing is a revolutionary technique that addresses environmental sustainability. It uses an eco-friendly approach to the design, manufacture, and use of computing resources. This is achieved by cutting down on electronic waste, using renewable energy sources, and consuming less energy. Recyclable materials with minimal environmental impact, software engineering techniques that are optimized, and energy-efficient hardware are examples of many approaches. Advanced technologies such as low-power processors, smart grids, and virtualized computing environments contribute to energy efficiency and waste reduction. Furthermore, integrating green computing with renewable energy sources amplifies its positive impact on the environment. The adoption of green computing practices promotes a circular economy, encourages resource conservation, and supports climate action.Green Computing for Sustainable Development features chapters that explore issues that are concerned with furthering sustainability and green computing. Highlights include the following:Neuro-symbolic green computing combining neural networks' learning abilities with symbolic AI's logical reasoning while promoting environmentally friendly practicesEnergy-efficient data management, resource provisioning, and the importance of monitoring carbon footprintsThe intersection of green computing and wildlife conservation, highlighting how energy-efficient technologies can revolutionize conservation effortsThe integration of geospatial information systems (GIS) and remote sensing (RS) as innovative solutions for sustainable developmentThe role of information and communication technology (ICT) in promoting health and well-beingThe importance of green computing due to growing environmental concerns related to information technologyThe integration of AI in sustainable farming practicesThe synergy between green computing practices and economic growth in achieving sustainable developmentThe integration of green computing with e-waste management to tackle environmental challenges in the IT sectorHow the "green Internet of Things" (IoT) is transforming smart city development by integrating ecological awareness and sustainability into urban planningThis book covers the wide range of principles essential for achieving long-term sustainability. It is a step toward fostering a balanced relationship between technological advancement and environmental stewardship.

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 autonomous systems, self-learning routing protocols for autonomous unmanned aerial networks (A-UAN), and more. The book also covers the concepts and algorithms of mobile devices, sensors, and IoT and other related components required for autonomous navigation. The book includes a survey on smart intrusion detection-enabled flying ad hoc networks (FANETs) (a decentralized communication system solely formed by unmanned aerial vehicles) in healthcare.Key highlights:Introduces the concept of autonomous navigation to help readers understand the technology from ground upCovers the architecture, including robot positioning, navigation, and controlProvides information about the use of simulation tools and machine learning techniques for the implementation of autonomous navigationProvides in-depth knowledge on the use of emerging technologies in navigation of mobile devices along with the use of ICT in autonomous navigationDiscusses the present and the future of the robotics industryPresenting cutting-edge research in the field of autonomous navigation, this book will serve as a valuable resource for academics, researchers, and others interested in learning about and comprehending the many advancements in autonomous navigation.

This book explores the transformative role of artificial intelligence (AI) in healthcare, emphasizing its shift from a futuristic concept to an essential part of modern medical systems.

The field of biomedical image analysis has evolved as a significant resource in the process of healthcare informatics and computer-aided disease diagnosis. This book addresses the problem of staying up to date with the rapidly evolving landscape of automated computer-aided disease diagnostics and biomedical image analytics, and provides practical solutions and best practices to help practitioners and researchers effectively.

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.

This book presents overall communication technologies and protocols used in IoT like in networks: Wi-Fi, Bluetooth, Zigbee, LoRA, GSM/GPRS/EDGE/LTE, etc.

This book highlights and attempts to fill a crucial gap in the existing literature by providing a comprehensive exploration of the emerging field of neuro-symbolic AI.

This book presents a systematic evolution of artificial intelligence (AI), its applications, challenges and solutions in the field of healthcare.