Deep Learning and Edge Computing for Internet of Things
The evolution of 5G and Internet of Things (IoT) technologies is leading to ubiquitous connections between humans and their environment, such as autopilot transportation, mobile e-commerce, unmanned vehicles, and healthcare applications, bringing revolutionary changes to our daily lives. Moreover, t...
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| 格式: | Online |
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| 語言: | 英语 |
| 出版: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| 主題: | |
| 在線閱讀: | ONIX_20250812T095121_9783725829958_146 |
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| _version_ | 1869518277548441600 |
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| collection | Directory of Open Access Books |
| description | The evolution of 5G and Internet of Things (IoT) technologies is leading to ubiquitous connections between humans and their environment, such as autopilot transportation, mobile e-commerce, unmanned vehicles, and healthcare applications, bringing revolutionary changes to our daily lives. Moreover, the computing environment results in the requirement for support of an increasing range of functionality: multi-sensory data processing and analysis, complex systems control strategies, and, ultimately, artificial intelligence. After several years of development, edge computing for deep learning has shown incomparable practical value in the IoT environment. Pushing computing resources to the edge in closer proximity to devices enables low-latency service delivery for both safety and applications. This Special Issue, “Deep Learning and Edge Computing for Internet of Things”, addresses existing awareness of the surrounding environment and support for services in the advanced development of smart scheduling, privacy protection, and environment-aware ability globally. It includes eleven peer-reviewed papers that focus on deep learning and edge computing for the Internet of Things. |
| format | Online |
| id | doab-20.500.12854ir-165197 |
| 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-1651972025-08-12T08:11:28Z Deep Learning and Edge Computing for Internet of Things Wan, Shaohua Wu, Yirui edge computing deep learning Internet of Things computational intelligence computing systems thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries The evolution of 5G and Internet of Things (IoT) technologies is leading to ubiquitous connections between humans and their environment, such as autopilot transportation, mobile e-commerce, unmanned vehicles, and healthcare applications, bringing revolutionary changes to our daily lives. Moreover, the computing environment results in the requirement for support of an increasing range of functionality: multi-sensory data processing and analysis, complex systems control strategies, and, ultimately, artificial intelligence. After several years of development, edge computing for deep learning has shown incomparable practical value in the IoT environment. Pushing computing resources to the edge in closer proximity to devices enables low-latency service delivery for both safety and applications. This Special Issue, “Deep Learning and Edge Computing for Internet of Things”, addresses existing awareness of the surrounding environment and support for services in the advanced development of smart scheduling, privacy protection, and environment-aware ability globally. It includes eleven peer-reviewed papers that focus on deep learning and edge computing for the Internet of Things. 2025-08-12T08:11:26Z 2025-08-12T08:11:26Z 2025 book ONIX_20250812T095121_9783725829958_146 9783725829958 9783725829965 https://directory.doabooks.org/handle/20.500.12854/165197 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/10615 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-2996-5 10.3390/books978-3-7258-2996-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725829958 9783725829965 212 open access |
| spellingShingle | edge computing deep learning Internet of Things computational intelligence computing systems thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Deep Learning and Edge Computing for Internet of Things |
| title | Deep Learning and Edge Computing for Internet of Things |
| title_full | Deep Learning and Edge Computing for Internet of Things |
| title_fullStr | Deep Learning and Edge Computing for Internet of Things |
| title_full_unstemmed | Deep Learning and Edge Computing for Internet of Things |
| title_short | Deep Learning and Edge Computing for Internet of Things |
| title_sort | deep learning and edge computing for internet of things |
| topic | edge computing deep learning Internet of Things computational intelligence computing systems thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | edge computing deep learning Internet of Things computational intelligence computing systems thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20250812T095121_9783725829958_146 |