Cognitive Data Models for Sustainable Environment Book

Cognitive Data Models for Sustainable Environment


  • Author : Siddhartha Bhattacharyya
  • Publisher : Academic Press
  • Release Date : 2021-09-19
  • Genre: Computers
  • Pages : 316
  • ISBN 10 : 9780128240397
  • Total Read : 89
  • File Size : 5,8 Mb

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Cognitive Data Models for Sustainable Environment Summary:

Cognitive Models for Sustainable Environment reviews the fundamental concepts of gathering, processing and analyzing data from batch processes, along with a review of intelligent and cognitive tools that can be used. The book is centered on evolving novel intelligent/cognitive models and algorithms to develop sustainable solutions for the mitigation of environmental pollution. It unveils intelligent and cognitive models to address issues related to the effective monitoring of environmental pollution and sustainable environmental design. As such, the book focuses on the overall well-being of the global environment for better sustenance and livelihood. The book covers novel cognitive models for effective environmental pollution data management at par with the standards laid down by the World Health Organization. Every chapter is supported by real-life case studies, illustrative examples and video demonstrations that enlighten readers. Explores the development and application of science, engineering and technology in achieving a sustainable lifestyle for humanity Provides tools, connections and proactive solutions to take sustainability programs to the next level Offers perspectives for design, development and commissioning of intelligent applications Provides reviews on the latest intelligent technologies and algorithms related to state-of-the-art methodologies of monitoring and mitigation of environmental pollution

Indoor Air Quality Assessment for Smart Environments Book

Indoor Air Quality Assessment for Smart Environments


  • Author : J. Saini
  • Publisher : IOS Press
  • Release Date : 2022-05-18
  • Genre: Medical
  • Pages : 142
  • ISBN 10 : 9781643682778
  • Total Read : 95
  • File Size : 13,9 Mb

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Indoor Air Quality Assessment for Smart Environments Summary:

Indoor air quality (IAQ) and indoor air pollution (IAP) are a matter of concern in many countries because they can significantly influence the general health and well-being of those who spend most of their time inside, whether at home or work. Poor IAQ and repeated exposure to dangerous concentrations of pollutants can contribute significantly to the healthcare burden along with increased absenteeism and lost productivity worldwide. This book, Indoor Air Quality Assessment for Smart Environments, explores the problem of IAQ and highlights potential challenges, gaps, and opportunities in the field. As the title suggests, it focuses on assessing IAQ in smart environments using emerging technologies, such as the Internet of Things (IoT) and Wireless Sensor Networks (WSN), that can further contribute to the development of intelligent building management systems. The book contains 8 chapters, written by various experts in the field and addressing significant elements of IAQ management, including: definition, state-of-the-art and applications; sensing techniques; technological interventions and smart environments; smart monitoring devices; green and smart hospitals; health risks of nano building products; the optimization of household ventilation; and an assessment of smart environments. While providing a useful source of knowledge for researchers, policymakers, public health professionals and government agencies wishing to enhance the air quality in buildings, the book will also serve as a guide to building occupants who wish to take the necessary measures to enhance the built environment with improved ventilation arrangements.

Sustainable Intelligent Systems Book

Sustainable Intelligent Systems


  • Author : Amit Joshi
  • Publisher : Springer Nature
  • Release Date : 2021-03-06
  • Genre: Technology & Engineering
  • Pages : 282
  • ISBN 10 : 9789813349018
  • Total Read : 91
  • File Size : 14,7 Mb

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Sustainable Intelligent Systems Summary:

This book discusses issues related to ICT, intelligent systems, data science, AI, machine learning, sustainable development and overall their impacts on sustainability. It provides an overview of the technologies of future. The book also discusses novel intelligent algorithms and their applications to move from a data-centric world to sustainable world. It includes research paradigms on sustainable development goals and societal impacts. The book provides an overview of cutting-edge techniques toward sustainability and ideas to help researchers who want to understand the challenges and opportunities of using smart management perspective for sustainable society. It serves as a reference to wide ranges of readers from computer science, data analysts, AI technocrats and management researchers.

Environmental Modeling with Stakeholders Book

Environmental Modeling with Stakeholders


  • Author : Steven Gray
  • Publisher : Springer
  • Release Date : 2016-12-16
  • Genre: Technology & Engineering
  • Pages : 370
  • ISBN 10 : 9783319250533
  • Total Read : 75
  • File Size : 17,6 Mb

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Environmental Modeling with Stakeholders Summary:

This volume brings together, in a central text, chapters written by leading scholars working at the intersection of modeling, the natural and social sciences, and public participation. This book presents the current state of knowledge regarding the theory and practice of engaging stakeholders in environmental modeling for decision-making, and includes basic theoretical considerations, an overview of methods and tools available, and case study examples of these principles and methods in practice. Although there has been a significant increase in research and development regarding participatory modeling, a unifying text that provides an overview of the different methodologies available to scholars and a systematic review of case study applications has been largely unavailable. This edited volume seeks to address a gap in the literature and provide a primer that addresses the growing demand to adopt and apply a range of modeling methods that includes the public in environmental assessment and management. The book is divided into two main sections. The first part of the book covers basic considerations for including stakeholders in the modeling process and its intersection with the theory and practice of public participation in environmental decision-making. The second part of the book is devoted to specific applications and products of the various methods available through case study examination. This second part of the book also provides insight from several international experts currently working in the field about their approaches, types of interactions with stakeholders, models produced, and the challenges they perceived based on their practical experiences.

Artificial Intelligence and Data Science in Environmental Sensing Book

Artificial Intelligence and Data Science in Environmental Sensing


  • Author : Mohsen Asadnia
  • Publisher : Academic Press
  • Release Date : 2022-02-24
  • Genre: Computers
  • Pages : 324
  • ISBN 10 : 9780323905077
  • Total Read : 81
  • File Size : 6,7 Mb

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Artificial Intelligence and Data Science in Environmental Sensing Summary:

Artificial Intelligence and Data Science in Environmental Sensing provides state-of-the-art information on the inexpensive mass-produced sensors that are used as inputs to artificial intelligence systems. The book discusses the advances of AI and Machine Learning technologies in material design for environmental areas. It is an excellent resource for researchers and professionals who work in the field of data processing, artificial intelligence sensors and environmental applications. Presents tools, connections and proactive solutions to take sustainability programs to the next level Offers a practical guide for making students proficient in modern electronic data analysis and graphics Provides knowledge and background to develop specific platforms related to environmental sensing, including control water, air and soil quality, water and wastewater treatment, desalination, pollution mitigation/control, and resource management and recovery

Artificial Intelligence and Environmental Sustainability Book

Artificial Intelligence and Environmental Sustainability


  • Author : Hui Lin Ong
  • Publisher : Springer Nature
  • Release Date : 2023-01-30
  • Genre: Artificial intelligence
  • Pages : 218
  • ISBN 10 : 9789811914348
  • Total Read : 60
  • File Size : 7,5 Mb

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Artificial Intelligence and Environmental Sustainability Summary:

The book discusses comprehensive and cutting-edge research and development endeavors, as well as innovative solutions, in implementing AI and related technologies to meet and undertake current and future challenges towards ensuring environmental sustainability. It explores the future research directions in the era of Industry 4.0. In the beginning, an overview of the utilization of Al for environmental sustainability is provided. The remaining chapters of the book cover the technological and application aspects of Al for environmental sustainability with illustrative examples. Finally, challenges with respect to deploying Al to solving environmental problems and the future trends are covered.

Information  Models  and Sustainability Book

Information Models and Sustainability


  • Author : Jing Zhang
  • Publisher : Springer
  • Release Date : 2016-03-30
  • Genre: Law
  • Pages : 180
  • ISBN 10 : 9783319254395
  • Total Read : 82
  • File Size : 6,5 Mb

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Information Models and Sustainability Summary:

This book reflects on the emerging trends, development, and challenges of policy on sustainability using information technology, and provides valuable insights to both research and practice communities. Sustainability has become an important focus for government, civil society and the corporate community world-wide. Growing interest in addressing environmental deterioration and associated social inequality and economic challenges is shifting focus to this important issue. The lack of fresh water and arable land, extreme weather, rising cost of relying on fossil fuels, and poverty and regional instability, are drawing attention to the need for government intervention and policy instruments that encourage the development of sustainable alternatives. Governments can play a very important role in facilitating sustainable development through better public policies. First of all, public investments can be directed toward establishing incentives for renewable energy, energy efficiency, sustainable agriculture, and land and water conservation, or toward leveling the field for sustainable alternatives by phasing out the subsidies directed to unsustainable production and development. Second, regulatory and pricing mechanisms could help with the development of markets for sustainable products. This book engages policy informatics analytical and modeling approaches, stakeholder engagement in policy development, implementation and evaluation, and big data and policy informatics to generate valuable insights in the policy on sustainable energy, and will be on interest to researchers in public administration and sustainability, open data and information technology ecological economics.​

Cognitive Computing for Human Robot Interaction Book

Cognitive Computing for Human Robot Interaction


  • Author : Mamta Mittal
  • Publisher : Academic Press
  • Release Date : 2021-08-13
  • Genre: Computers
  • Pages : 418
  • ISBN 10 : 9780323856478
  • Total Read : 85
  • File Size : 15,5 Mb

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Cognitive Computing for Human Robot Interaction Summary:

Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts that should ultimately enable society to take advantage of the often-heralded potential of robots to provide economical and sustainable computing applications. This book discusses each of these applications, presents working implementations, and combines coherent and original deliberative architecture for human–robot interactions (HRI). Supported by experimental results, it shows how explicit knowledge management promises to be instrumental in building richer and more natural HRI, by pushing for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications. This book will be of special interest to academics, postgraduate students, and researchers working in the area of artificial intelligence and machine learning. Key features: Introduces several new contributions to the representation and management of humans in autonomous robotic systems; Explores the potential of cognitive computing, robots, and HRI to generate a deeper understanding and to provide a better contribution from robots to society; Engages with the potential repercussions of cognitive computing and HRI in the real world. Introduces several new contributions to the representation and management of humans in an autonomous robotic system Explores cognitive computing, robots and HRI, presenting a more in-depth understanding to make robots better for society Gives a challenging approach to those several repercussions of cognitive computing and HRI in the actual global scenario