Open Data for Sustainable Community: Glocalized Sustainable Development Goals, Sharma Neha, Ghosh Santanu, Saha Monodeep
Автор: Mordeson, John N., Mathew, Sunil Название: Sustainable Development Goals ISBN: 3030485226 ISBN-13(EAN): 9783030485221 Издательство: Springer Рейтинг: Цена: 12196.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book uses mathematics of uncertainty to examine how well countries are achieving the 17 Sustainable Development Goals (SDGs) set by the members of the United Nations, with a focus on climate change, human trafficking and modern slavery.
Автор: by G R Kanagachidambaresan Название: Role of Edge Analytics in Sustainable Smart City Development ISBN: 1119681286 ISBN-13(EAN): 9781119681281 Издательство: Wiley Рейтинг: Цена: 28979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Efficient Single Board Computers (SBCs) and advanced VLSI systems have resulted in edge analytics and faster decision making. The QoS parameters like energy, delay, reliability, security, and throughput should be improved on seeking better intelligent expert systems. The resource constraints in the Edge devices, challenges the researchers to meet the required QoS. Since these devices and components work in a remote unattended environment, an optimum methodology to improve its lifetime has become mandatory. Continuous monitoring of events is mandatory to avoid tragic situations; it can only be enabled by providing high QoS. The applications of IoT in digital twin development, health care, traffic analysis, home surveillance, intelligent agriculture monitoring, defense and all common day to day activities have resulted in pioneering embedded devices, which can offer high computational facility without much latency and delay. The book address industrial problems in designing expert system and IoT applications. It provides novel survey and case study report on recent industrial approach towards Smart City development.
Описание: The Organisation of Tomorrow presents a new model of doing business and explains how big data analytics, blockchain and artificial intelligence force us to rethink existing business models and develop organisations that will be ready for human-machine interactions.
Автор: Anandakumar Haldorai, Arulmurugan Ramu Название: Big Data Analytics for Sustainable Computing ISBN: 1522597506 ISBN-13(EAN): 9781522597506 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 32987.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science.
Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.
Описание: The Organisation of Tomorrow presents a new model of doing business and explains how big data analytics, blockchain and artificial intelligence force us to rethink existing business models and develop organisations that will be ready for human-machine interactions.
Описание: This proceeding features papers discussing big data innovation for sustainable cognitive computing. The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on cognitive computing technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform. The EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2018), took place on 13 – 15 December 2018 in Coimbatore, India.
Автор: Anandakumar Haldorai, Arulmurugan Ramu Название: Big Data Analytics for Sustainable Computing ISBN: 1522597514 ISBN-13(EAN): 9781522597513 Издательство: Mare Nostrum (Eurospan) Цена: 27027.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.
Introduction.- Data Science for Cognitive Analysis.- Real-Time Ubiquitous Data Science.- Platform for Privacy Preserving Data Science.- Internet-Based Cognitive Platform.- Social Data Relationship Ranking on Internet.- Data Applications of Cognitive Communication.- Statistics, data filtering to decide what data to keep and informative aspects.- Machine Learning and Big Data.- Big Algorithms and Software Development.- Smart Grid Cyber Security Data Analysis.- Smart City Initiative and Big Applications.- Natural Language Generation.- Sustainable Computer and Communication Model.- Knowledge Engineering, Representation and Extraction.- Decision Making under Uncertainty.- Cloud Big Computing Services.- Scalable Data Management Systems.- Future Advancements.- Conclusion.
Описание: This book presents a collection of the latest studies on and applications for the sustainable development of urban energy systems. Based on the 20th International Scientific Conference on Energy Management of Municipal Facilities and Sustainable Energy Technologies, held in Voronezh and Samara, Russia from 10 to 13 December 2018, it addresses a range of aspects including energy modelling, materials and applications in buildings; heating, ventilation and air conditioning systems; renewable energy technologies (photovoltaic, biomass, and wind energy); electrical energy storage; energy management; and life cycle assessment in urban systems and transportation.The book is intended for a broad readership: from policymakers tasked with evaluating and promoting key enabling technologies, efficiency policies and sustainable energy practices, to researchers and engineers involved in the design and analysis of complex systems.
Автор: Rossi Setchi; Robert J. Howlett; Ying Liu; Peter T Название: Sustainable Design and Manufacturing 2016 ISBN: 3319320963 ISBN-13(EAN): 9783319320960 Издательство: Springer Рейтинг: Цена: 28497.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
General Track 1: Sustainable Design, Innovation & Services.- General Track 2: Sustainable Manufacturing Processes & Technologies.- General Track 3: Sustainable Manufacturing Systems & Enterprises.- General Track 4: Decision Support and Sustainability.- Invited Session 1: Design for Additive Manufacture.- 6. Invited Session 2: Sustainability and Resilience in Agri-food Supply Chains.- 7. Invited Session 3: Eco-Design through Systematic Innovation.- Invited Session 4: Redistributed Manufacturing for Resilience and Sustainability.- 9. Invited Session 5: UK-China Forum on Innovation for Green Manufacturing.
Описание: This volume consists of 52 peer-reviewed papers, presented at the International Conference on Sustainable Design and Manufacturing (SDM-19) held in Budapest, Hungary in July 2019.
Автор: Ram Swaroop Meena; Sandeep Kumar; Jitendra Singh B Название: Sustainable Management of Soil and Environment ISBN: 9811388318 ISBN-13(EAN): 9789811388316 Издательство: Springer Рейтинг: Цена: 24392.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Fertilizers have been used extensively around the globe since the Green Revolution, due to the high subsidies. However, extensive fertilizer use exacerbates soil degradation and causes yield stagnation, and as a result threatens food security and soil sustainability, especially in developing countries. This means that sustainable soil and environmental management are vital to provide food and nutritional security for present and future generations. This has led to the International Union of Soil Science (IUSS) declaring 2015-2024 the International Decade of Soils. This book focuses on the impact of sustainable management of soil and environment on improving the functioning of soil-ecosystems and agronomic productivity, and also discusses food security, nutrient cycling, recent advances in INM technologies, eco-friendly cultivation, agricultural practices to reduce greenhouse gas (GHG) emissions, as well as conservation agriculture and its effects, and strategies for soil sustainability. Offering a comprehensive overview of management in the context of the sustainability of soil and the agroecosystems that it supports, it demonstrates the options available and provides insights into restoring soil health and matching soil nutrient supply with crop demand to ensure nutritional security in an eco-friendly environment.
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