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008			230301s2023 sz | o |||| 0|eng d
020			_a9783031229220
024	7		_a10.1007/978-3-031-22922-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTD159.4 _b2023 EB
245	0	0	_aEnabling Technologies for Effective Planning and Management in Sustainable Smart Cities _cedited by Mohd Abdul Ahad, Gabriella Casalino, Bharat Bhushan
250			_a1st ed 2023
264		1	_aCham _bSpringer International Publishing _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_a1. Challenges and Opportunities in Secure Smart Cities for Enhancing the Security and Privacy -- 2. Reliability and Security of Edge Computing Devices for Smart Cities -- 3. Artificial Intelligence in Smart City- Systematic Literature review of Current Knowledge and Future Research Avenues -- 4. Predictive Farmland Optimization and Crop Monitoring using Artificial Intelligence Techniques -- 5. Natural Language Processing (NLP) based Innovations for Smart Healthcare Applications in Healthcare 4.0 -- 6. Evolving of Smart Banking with NLP and Deep Learning -- 7. Blockchain based Smart Card for Smart City -- 8. Blockchain-powered Smart E-healthcare System: Benefits, Use cases, and Future Research Directions -- 9. A Comprehensive Review of Wireless Medical Biosensor Networks in Connected Healthcare Applications -- 10. Smart Intelligent System for Cervix Cancer Image Classification using Google Cloud Platform -- 11. IoT and An Intelligent Cloud-Based Framework to Build a Smart City Traffic Management System -- 12. Emersion and Immersion of Technology in the development of smart cities: A bibliometric Analysis -- 13. Examining social media, citizen engagement and risk communication: A smart city perspective -- 14. 5G and 6G Technologies for Smart City -- 15. Software defined virtual clustering based content distribution mechanism in VNDN -- 16. Sustainable Energy Usage in Urban and Rural Context-A Study.
520			_aWith the rapid penetration of technology in varied application domains, the existing cities are getting connected more seamlessly. Cities becomes smart by inducing ICT in the classical city infrastructure for its management. According to McKenzie Report, about 68% of the world population will migrate towards urban settlements in near future. This migration is largely because of the improved Quality of Life (QoL) and livelihood in urban settlements. In the light of urbanization, climate change, democratic flaws, and rising urban welfare expenditures, smart cities have emerged as an important approach for society's future development. Smart cities have achieved enhanced QoL by giving smart information to people regarding healthcare, transportation, smart parking, smart traffic structure, smart home, smart agronomy, community security etc. Typically, in smart cities data is sensed by the sensor devices and provided to end users for further use. The sensitive data is transferred with the help of internet creating higher chances for the adversaries to breach the data. Considering the privacy and security as the area of prime focus, this book covers the most prominent security vulnerabilities associated with varied application areas like healthcare, manufacturing, transportation, education and agriculture etc. Furthermore, the massive amount of data being generated through ubiquitous sensors placed across the smart cities needs to be handled in an effective, efficient, secured and privacy preserved manner. Since a typical smart city ecosystem is data driven, it is imperative to manage this data in an optimal manner. Enabling technologies like Internet of Things (IoT), Natural Language Processing (NLP), Blockchain Technology, Deep Learning, Machine Learning, Computer vision, Big Data Analytics, Next Generation Networks and Software Defined Networks (SDN) provide exemplary benefits if they are integrated in the classical city ecosystem in an effective manner. The application of Artificial Intelligence (AI) is expanding across many domains in the smart city, such as infrastructure, transportation, environmental protection, power and energy, privacy and security, governance, data management, healthcare, and more. AI has the potential to improve human health, prosperity, and happiness by reducing our reliance on manual labor and accelerating our progress in the sciences and technologies. NLP is an extensive domain of AI and is used in collaboration with machine learning and deep learning algorithms for clinical informatics and data processing. In modern smart cities, blockchain provides a complete framework that controls the city operations and ensures that they are managed as effectively as possible. Besides having an impact on our daily lives, it also facilitates many areas of city management. .
988			_aSpringer_Computer_2023
650		7	_2embne _9670332 _aCiudades inteligentes
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-22922-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2024 _dz _eb _zSI