پیوندهای مفید
آمار
| تعداد نشریات | 21 |
| تعداد شماره‌ها | 593 |
| تعداد مقالات | 8,812 |
| تعداد مشاهده مقاله | 66,759,779 |
| تعداد دریافت فایل اصل مقاله | 7,325,226 |
Towards smart sustainable cities vision and challenges | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 21، دوره 15، شماره 3، خرداد 2024، صفحه 261-274 اصل مقاله (1.55 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.78235.4200 | ||
| نویسندگان | ||
| Mohamed Wahba Ibrahim Khalil؛ Mohamed Atef Elhamy Kamel* | ||
| Department of Islamic Architecture, College of Engineering and Islamic Architecture, Umm Al-Qura University, Makkah, Saudi Arabia | ||
| تاریخ دریافت: 23 آبان 1401، تاریخ بازنگری: 02 دی 1401، تاریخ پذیرش: 08 دی 1401 | ||
| چکیده | ||
| The sustainable smart city is primarily a concept and there is still not a clear and consistent definition among practitioners and academia. In a simplistic explanation, a smart city is a place where traditional networks and services are made more flexible, efficient, and sustainable with the use of information, digital and telecommunication technologies, to improve its operations for the benefit of its inhabitants. Smart cities are greener, safer, faster and friendlier. The different components of a smart city include smart infrastructure, smart transportation, smart energy, smart healthcare, and smart technology. These components are what make cities smart and efficient. Information and communication technology are enabling keys for transforming traditional cities into smart cities. The two closely related emerging technology frameworks Internet of Things and Big Data make smart cities efficient and responsive. The technology has matured reasonably to allow smart cities to emerge. However, there is much need in terms of physical infrastructure, and renewable energy to make the majority of cities worldwide smart. Even today, there are not enough studies on how regulations collaborate to make cities smarter and more sustainable. This paper contributes to filling this gap by investigating the main guidelines of the new City Statute that have the greatest potential to contribute to having smarter and more sustainable smart cities connect people and places using innovative technologies such as Data Mining (DM), Machine Learning (ML), big data, and the Internet of Things (IoT). More recently, the challenges posed by the increasing urbanization experienced by most countries have increased societal demands for more efficient and sustainable urban services, in a digital revolution environment and more sustainability. The study aims to identify the main Data Mining techniques used in the context of smart cities and how the research field of Data Mining for smart cities. To prioritize the guidelines of the contemporary City, the methodology used the strategies of smart city and significant applications of nonlinear analysis to make integration with the main principles of sustainability to enhance the concept of the sustainable smart city so The systems are under increasing environmental, social and economic pressures for sustainable prosperity. | ||
| کلیدواژه‌ها | ||
| Sustainable cities؛ smart city؛ smart transportation؛ physical infrastructure؛ renewable energy data mining؛ machine learning؛ big data and bibliometric | ||
| مراجع | ||
|
[1] A. Avramidou and C. Tjortjis, Predicting CO2 emissions for buildings using regression and classification, Proc. IFIP Inte. Conf. Artif. Intell. Appl. Innov., Halkidiki, Greece, 25-27 June, 2021. [2] Blockchain, Smart Dubai Strategy Cities Coalition for Digital Rights, 2020, https://consensys.net/blockchainuse-cases/government-and-the-public-sector/smart-dubai/ [3] D.J. Cook, G. Duncan, G. Sprint. and R. Fritz, Using smart city technology to make healthcare smarter, Proc. IEEE 106 (2018), 708-722. [4] Dijk, Andries van, Smart City and Smart Nation, Providing the keys to unlock your city’s potential, Deloitte Development LLC., 2017, www.deloitte.com/about [5] S. Eeshwaroju, IoT-based empowerment by smart health monitoring, Smart Education and Smart Jobs, Conf. Int. Conf. Comput. Inf. Technol. (ICCIT-1441), 2020. [6] Z. Khan, A. Anjum, K. Soomro and M.A. Tahir, Towards cloud-based big data analytics for smart future cities, J. Cloud Comput. 4 (2015), 1–11. [7] T.H. Kim, Smart City and IoT, Future Gen. Comput. Syst. 76 (2017), 159–162. [8] P. Koukaras, D. Rousidis and C. Tjortjis, Forecasting and Prevention mechanisms using Social Media in Healthcare, Stud. Comput. Intell. 891 (2020), 121–137. [9] A. Kousis and C. Tjortjis, Data mining algorithms for smart cities: A bibliometric analysis, Algorithms 14 (2021), no. 8, 242. [10] S.K. Lee, International case studies of smart cities: Singapore, Republic of Singapore, 2016. [11] C. Ratti, Smart at scale cities to watch 25 case studies, Global Future Council, Cologny/Geneva, Switzerland, 2020. [12] C. Susskind, understanding technology, The Johns Hopkins University, Press LTD; 3rd edition Published by San Francisco, Press, San Francisco, CA, 2000. [13] A. Tiwari and K. Jain, GIS steering smart future for smart Indian cities, Int. J. Sci. Res. Pub. 4 (2014), no. 8, 442–446. [14] A. Wahab, Machine Learning Top 8 Machine Learning algorithms explained in less than 1 minute each, Data Science dojo, 2022, https://datasciencedojo.com/blog/machine-learning-algorithms-explanation/ | ||
|
آمار تعداد مشاهده مقاله: 14,492 تعداد دریافت فایل اصل مقاله: 506 |
||