Machine Learning, IoT and Artificial Intelligence for Sustainable Development
Nowadays, the newest technologies, devices, and techniques related to IoT, machine learning, and artificial intelligence are constantly developing. Therefore, they have a significant impact on our sustainable lifestyle. Accordingly, the application domain of these technologies and tools involves agr...
में बचाया:
| स्वरूप: | Online |
|---|---|
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
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| विषय: | |
| ऑनलाइन पहुंच: | ONIX_20240514_9783036599267_23 |
| टैग: |
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!
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| _version_ | 1869518316621529088 |
|---|---|
| collection | Directory of Open Access Books |
| description | Nowadays, the newest technologies, devices, and techniques related to IoT, machine learning, and artificial intelligence are constantly developing. Therefore, they have a significant impact on our sustainable lifestyle. Accordingly, the application domain of these technologies and tools involves agriculture, water management, healthcare, bioinformatics, smart grid, smart cities, security, and so on. In addition, the IoT has brought an innovative perspective that is totally distinct from the usual approaches: the former consists of a device that can communicate with the network and is capable of implementing intelligent solutions. The goal of this Special Issue is to create a common gateway between researchers, allowing them to exchange and share their results related to the application of IoT, artificial intelligence, and machine learning in various domains. |
| format | Online |
| id | doab-20.500.12854ir-137420 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1374202024-05-14T13:01:31Z Machine Learning, IoT and Artificial Intelligence for Sustainable Development Azrour, Mourade Guezzaz, Azidine Zeroual, Imad Irshad, Azeem Mabrouki, Jamal Benkirane, Said Chaudhry, Shehzad Ashraf optimization techniques demand-supply system energy consumption patterns genetic algorithm particle swarm optimization wind driven optimization home energy management controller cancer adenocarcinoma convolution neural network CNN transfer learning CNN– SVM medical image processing deep learning artificial intelligence smart cancer diagnosis AdenoCanNet AdenoCanSVM fall detections fall-detection cost efficiency machine learning multi-criteria analysis flood modelling stormwater management system Western Australia authentication protocol wireless sensor network Internet of Things privacy-preserving provably secure medical imaging security design science research GSM GPS elliptic curve integrated encryption scheme Agriculture 4.0 precision agriculture privacy smart farming sustainable energy solar radiation times series feature selection forecasting politeness prediction conversation AI agricultural residues biofuel classification solid fuel sailfish optimizer IoT environment smart cities imprinted ship characters automatic recognition recognition accuracy dataset augmentation machine learning classifiers crowd management human verification big data analytics GA classifier Viola–Jones IoT failure causes layered architecture of IoT quality assurance testing framework traffic simulation integrated technologies sustainable AI AI for environment green AI complexity SDGs ethics thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Nowadays, the newest technologies, devices, and techniques related to IoT, machine learning, and artificial intelligence are constantly developing. Therefore, they have a significant impact on our sustainable lifestyle. Accordingly, the application domain of these technologies and tools involves agriculture, water management, healthcare, bioinformatics, smart grid, smart cities, security, and so on. In addition, the IoT has brought an innovative perspective that is totally distinct from the usual approaches: the former consists of a device that can communicate with the network and is capable of implementing intelligent solutions. The goal of this Special Issue is to create a common gateway between researchers, allowing them to exchange and share their results related to the application of IoT, artificial intelligence, and machine learning in various domains. 2024-05-14T13:01:04Z 2024-05-14T13:01:04Z 2024 book ONIX_20240514_9783036599267_23 9783036599267 9783036599250 https://directory.doabooks.org/handle/20.500.12854/137420 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/8575 https://mdpi.com/books/pdfview/book/8575 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-9925-0 10.3390/books978-3-0365-9925-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036599267 9783036599250 320 open access |
| spellingShingle | optimization techniques demand-supply system energy consumption patterns genetic algorithm particle swarm optimization wind driven optimization home energy management controller cancer adenocarcinoma convolution neural network CNN transfer learning CNN– SVM medical image processing deep learning artificial intelligence smart cancer diagnosis AdenoCanNet AdenoCanSVM fall detections fall-detection cost efficiency machine learning multi-criteria analysis flood modelling stormwater management system Western Australia authentication protocol wireless sensor network Internet of Things privacy-preserving provably secure medical imaging security design science research GSM GPS elliptic curve integrated encryption scheme Agriculture 4.0 precision agriculture privacy smart farming sustainable energy solar radiation times series feature selection forecasting politeness prediction conversation AI agricultural residues biofuel classification solid fuel sailfish optimizer IoT environment smart cities imprinted ship characters automatic recognition recognition accuracy dataset augmentation machine learning classifiers crowd management human verification big data analytics GA classifier Viola–Jones IoT failure causes layered architecture of IoT quality assurance testing framework traffic simulation integrated technologies sustainable AI AI for environment green AI complexity SDGs ethics thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Machine Learning, IoT and Artificial Intelligence for Sustainable Development |
| title | Machine Learning, IoT and Artificial Intelligence for Sustainable Development |
| title_full | Machine Learning, IoT and Artificial Intelligence for Sustainable Development |
| title_fullStr | Machine Learning, IoT and Artificial Intelligence for Sustainable Development |
| title_full_unstemmed | Machine Learning, IoT and Artificial Intelligence for Sustainable Development |
| title_short | Machine Learning, IoT and Artificial Intelligence for Sustainable Development |
| title_sort | machine learning iot and artificial intelligence for sustainable development |
| topic | optimization techniques demand-supply system energy consumption patterns genetic algorithm particle swarm optimization wind driven optimization home energy management controller cancer adenocarcinoma convolution neural network CNN transfer learning CNN– SVM medical image processing deep learning artificial intelligence smart cancer diagnosis AdenoCanNet AdenoCanSVM fall detections fall-detection cost efficiency machine learning multi-criteria analysis flood modelling stormwater management system Western Australia authentication protocol wireless sensor network Internet of Things privacy-preserving provably secure medical imaging security design science research GSM GPS elliptic curve integrated encryption scheme Agriculture 4.0 precision agriculture privacy smart farming sustainable energy solar radiation times series feature selection forecasting politeness prediction conversation AI agricultural residues biofuel classification solid fuel sailfish optimizer IoT environment smart cities imprinted ship characters automatic recognition recognition accuracy dataset augmentation machine learning classifiers crowd management human verification big data analytics GA classifier Viola–Jones IoT failure causes layered architecture of IoT quality assurance testing framework traffic simulation integrated technologies sustainable AI AI for environment green AI complexity SDGs ethics thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | optimization techniques demand-supply system energy consumption patterns genetic algorithm particle swarm optimization wind driven optimization home energy management controller cancer adenocarcinoma convolution neural network CNN transfer learning CNN– SVM medical image processing deep learning artificial intelligence smart cancer diagnosis AdenoCanNet AdenoCanSVM fall detections fall-detection cost efficiency machine learning multi-criteria analysis flood modelling stormwater management system Western Australia authentication protocol wireless sensor network Internet of Things privacy-preserving provably secure medical imaging security design science research GSM GPS elliptic curve integrated encryption scheme Agriculture 4.0 precision agriculture privacy smart farming sustainable energy solar radiation times series feature selection forecasting politeness prediction conversation AI agricultural residues biofuel classification solid fuel sailfish optimizer IoT environment smart cities imprinted ship characters automatic recognition recognition accuracy dataset augmentation machine learning classifiers crowd management human verification big data analytics GA classifier Viola–Jones IoT failure causes layered architecture of IoT quality assurance testing framework traffic simulation integrated technologies sustainable AI AI for environment green AI complexity SDGs ethics thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | ONIX_20240514_9783036599267_23 |