Smart Mobile and Sensing Applications
The introduction of machine learning and deep learning technology to wireless sensor networks to improve perception has become a global trend in research on mobile sensing technology. This reprint focuses on the studies related to mobile sensing systems and applications based on intelligent technolo...
Sparad:
| Materialtyp: | Online |
|---|---|
| Språk: | engelska |
| Utgiven: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Ämnen: | |
| Länkar: | ONIX_20250812T095121_9783725832255_163 |
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| _version_ | 1869516178923192320 |
|---|---|
| collection | Directory of Open Access Books |
| description | The introduction of machine learning and deep learning technology to wireless sensor networks to improve perception has become a global trend in research on mobile sensing technology. This reprint focuses on the studies related to mobile sensing systems and applications based on intelligent technology. It contains empirical studies and systematic reviews regarding the application of various emerging artificial intelligence technologies in wireless sensor networks, spanning many areas of study, such as intelligent sensing mechanisms, remote sensing monitoring, and intelligent identification techniques. |
| format | Online |
| id | doab-20.500.12854ir-165214 |
| 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-1652142025-08-12T08:13:09Z Smart Mobile and Sensing Applications Chan, Chien Aun Yan, Ming Li, Chunguo mobile sensing smart sensing deep learning intelligent sensor thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology The introduction of machine learning and deep learning technology to wireless sensor networks to improve perception has become a global trend in research on mobile sensing technology. This reprint focuses on the studies related to mobile sensing systems and applications based on intelligent technology. It contains empirical studies and systematic reviews regarding the application of various emerging artificial intelligence technologies in wireless sensor networks, spanning many areas of study, such as intelligent sensing mechanisms, remote sensing monitoring, and intelligent identification techniques. 2025-08-12T08:13:07Z 2025-08-12T08:13:07Z 2025 book ONIX_20250812T095121_9783725832255_163 9783725832255 9783725832262 https://directory.doabooks.org/handle/20.500.12854/165214 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/10623 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-3226-2 10.3390/books978-3-7258-3226-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725832255 9783725832262 400 open access |
| spellingShingle | mobile sensing smart sensing deep learning intelligent sensor thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Smart Mobile and Sensing Applications |
| title | Smart Mobile and Sensing Applications |
| title_full | Smart Mobile and Sensing Applications |
| title_fullStr | Smart Mobile and Sensing Applications |
| title_full_unstemmed | Smart Mobile and Sensing Applications |
| title_short | Smart Mobile and Sensing Applications |
| title_sort | smart mobile and sensing applications |
| topic | mobile sensing smart sensing deep learning intelligent sensor thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | mobile sensing smart sensing deep learning intelligent sensor thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20250812T095121_9783725832255_163 |