Algorithms for Smart Cities
As time goes by, the concept of a "smart city" encompasses an increasing number of aspects. Essentially, when we think of a modern city, we would like it to offer a vibrant and safe living environment for its community of residents: healthy indoor living spaces, green outdoor spaces for leisure and...
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| Format: | Online |
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| Sprog: | engelsk |
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MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Online adgang: | ONIX_20250220_9783725820092_71 |
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| _version_ | 1869527445514747904 |
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| collection | Directory of Open Access Books |
| description | As time goes by, the concept of a "smart city" encompasses an increasing number of aspects. Essentially, when we think of a modern city, we would like it to offer a vibrant and safe living environment for its community of residents: healthy indoor living spaces, green outdoor spaces for leisure and sports, flowing traffic, efficient distribution of goods, various forms of safe transportation for people, public lighting and surveillance systems, emergency management, information and communication services, etc. A smart city offers much more: it represents a space that favors the development of people and their potential, in a sustainable and resilient manner, by means of the intelligent integration of ICT tools and technologies. The following reprint collects research and innovative approaches to smart city issues. The contributions cover a wide range of topics, from car and bike-sharing models to ways of improving quality of life through digitalization. Readers will get an insight into effective solutions offered by researchers and practitioners working in artificial intelligence, the Internet of Things, data analytics, etc. The synergy of these technologies is illustrated herein, providing a new, challenging view on the smart cities of today and of the future. |
| format | Online |
| id | doab-20.500.12854ir-152707 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1527072025-02-20T12:56:43Z Algorithms for Smart Cities Cerasela Crişan, Gloria Nechita, Elena carsharing station location modeling genetic algorithm fix stations and free stations deep learning intelligent monitoring person re-identification smart streetlight YOLOv3 multi-scale training anchor clustering label smoothing mixup IOU GIOU fine-grained classification of automobile smart city emergency management monitoring social distancing neural network internet of things wireless sensors network near field communication technology computer vision energy consumption reduction HVAC systems CO2 variations prediction convolutional neural networks transfer learning ensemble learning bike sharing rebalancing problem inventory level machine learning random forest imbalanced data plant disease classification MobileNet V2 attention electricity market real-time market day-ahead market locational marginal pricing long short-term memory (LSTM) multivariate time series forecasting smart cities artificial intelligence digital transformation computational sustainability logic programming the laws of thermodynamics entropy equity asset management pavement decision-making resource allocation thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology As time goes by, the concept of a "smart city" encompasses an increasing number of aspects. Essentially, when we think of a modern city, we would like it to offer a vibrant and safe living environment for its community of residents: healthy indoor living spaces, green outdoor spaces for leisure and sports, flowing traffic, efficient distribution of goods, various forms of safe transportation for people, public lighting and surveillance systems, emergency management, information and communication services, etc. A smart city offers much more: it represents a space that favors the development of people and their potential, in a sustainable and resilient manner, by means of the intelligent integration of ICT tools and technologies. The following reprint collects research and innovative approaches to smart city issues. The contributions cover a wide range of topics, from car and bike-sharing models to ways of improving quality of life through digitalization. Readers will get an insight into effective solutions offered by researchers and practitioners working in artificial intelligence, the Internet of Things, data analytics, etc. The synergy of these technologies is illustrated herein, providing a new, challenging view on the smart cities of today and of the future. 2025-02-20T12:56:40Z 2025-02-20T12:56:40Z 2024 book ONIX_20250220_9783725820092_71 9783725820092 9783725820108 https://directory.doabooks.org/handle/20.500.12854/152707 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/9804 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-2010-8 10.3390/books978-3-7258-2010-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725820092 9783725820108 208 Basel open access |
| spellingShingle | carsharing station location modeling genetic algorithm fix stations and free stations deep learning intelligent monitoring person re-identification smart streetlight YOLOv3 multi-scale training anchor clustering label smoothing mixup IOU GIOU fine-grained classification of automobile smart city emergency management monitoring social distancing neural network internet of things wireless sensors network near field communication technology computer vision energy consumption reduction HVAC systems CO2 variations prediction convolutional neural networks transfer learning ensemble learning bike sharing rebalancing problem inventory level machine learning random forest imbalanced data plant disease classification MobileNet V2 attention electricity market real-time market day-ahead market locational marginal pricing long short-term memory (LSTM) multivariate time series forecasting smart cities artificial intelligence digital transformation computational sustainability logic programming the laws of thermodynamics entropy equity asset management pavement decision-making resource allocation thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology Algorithms for Smart Cities |
| title | Algorithms for Smart Cities |
| title_full | Algorithms for Smart Cities |
| title_fullStr | Algorithms for Smart Cities |
| title_full_unstemmed | Algorithms for Smart Cities |
| title_short | Algorithms for Smart Cities |
| title_sort | algorithms for smart cities |
| topic | carsharing station location modeling genetic algorithm fix stations and free stations deep learning intelligent monitoring person re-identification smart streetlight YOLOv3 multi-scale training anchor clustering label smoothing mixup IOU GIOU fine-grained classification of automobile smart city emergency management monitoring social distancing neural network internet of things wireless sensors network near field communication technology computer vision energy consumption reduction HVAC systems CO2 variations prediction convolutional neural networks transfer learning ensemble learning bike sharing rebalancing problem inventory level machine learning random forest imbalanced data plant disease classification MobileNet V2 attention electricity market real-time market day-ahead market locational marginal pricing long short-term memory (LSTM) multivariate time series forecasting smart cities artificial intelligence digital transformation computational sustainability logic programming the laws of thermodynamics entropy equity asset management pavement decision-making resource allocation thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology |
| topic_facet | carsharing station location modeling genetic algorithm fix stations and free stations deep learning intelligent monitoring person re-identification smart streetlight YOLOv3 multi-scale training anchor clustering label smoothing mixup IOU GIOU fine-grained classification of automobile smart city emergency management monitoring social distancing neural network internet of things wireless sensors network near field communication technology computer vision energy consumption reduction HVAC systems CO2 variations prediction convolutional neural networks transfer learning ensemble learning bike sharing rebalancing problem inventory level machine learning random forest imbalanced data plant disease classification MobileNet V2 attention electricity market real-time market day-ahead market locational marginal pricing long short-term memory (LSTM) multivariate time series forecasting smart cities artificial intelligence digital transformation computational sustainability logic programming the laws of thermodynamics entropy equity asset management pavement decision-making resource allocation thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology |
| url | ONIX_20250220_9783725820092_71 |