Deep Learning in Big Data, Image, and Signal Processing in the Modern Digital Age
At present, data is constantly generated across various industries, including the internet. New technologies have emerged to trace data origins and assess their potential for collection, quantification, decoding, and analysis. Big data, signals, and images are of particular importance due to the wea...
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| Format: | Online |
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| Language: | English |
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MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Online Access: | ONIX_20231130_9783036590981_59 |
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| collection | Directory of Open Access Books |
| description | At present, data is constantly generated across various industries, including the internet. New technologies have emerged to trace data origins and assess their potential for collection, quantification, decoding, and analysis. Big data, signals, and images are of particular importance due to the wealth of domain-specific information they hold. These data play a critical role in addressing issues like national security, cybersecurity, marketing, medical informatics, and fraud detection. Deep learning techniques have gained immense popularity. They empower the analysis and understanding of vast amounts of unsupervised data, making them invaluable for processing when raw data lack categorization and labels. These applications extend to working with medical images and signal processing for wellness devices, remote monitoring, and neural devices. In industrial settings, data can be used for early warning systems in assembly lines, while massive datasets can be derived from electronic health records and hospital information systems, for example. This reprint is dedicated to exploring the application of deep learning in tackling significant challenges related to big data, images, and signals. It seeks to unravel the potential of these cutting-edge technologies in addressing complex real-world problems across diverse sectors. |
| format | Online |
| id | doab-20.500.12854ir-128607 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1286072024-03-30T12:51:26Z Deep Learning in Big Data, Image, and Signal Processing in the Modern Digital Age Guo, Yanhui Koundal, Deepika Amin, Rashid big data image processing deep learning signal processing digital era thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science At present, data is constantly generated across various industries, including the internet. New technologies have emerged to trace data origins and assess their potential for collection, quantification, decoding, and analysis. Big data, signals, and images are of particular importance due to the wealth of domain-specific information they hold. These data play a critical role in addressing issues like national security, cybersecurity, marketing, medical informatics, and fraud detection. Deep learning techniques have gained immense popularity. They empower the analysis and understanding of vast amounts of unsupervised data, making them invaluable for processing when raw data lack categorization and labels. These applications extend to working with medical images and signal processing for wellness devices, remote monitoring, and neural devices. In industrial settings, data can be used for early warning systems in assembly lines, while massive datasets can be derived from electronic health records and hospital information systems, for example. This reprint is dedicated to exploring the application of deep learning in tackling significant challenges related to big data, images, and signals. It seeks to unravel the potential of these cutting-edge technologies in addressing complex real-world problems across diverse sectors. 2023-11-30T20:35:53Z 2023-11-30T20:35:53Z 2023 book ONIX_20231130_9783036590981_59 9783036590981 9783036590998 https://directory.doabooks.org/handle/20.500.12854/128607 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/8059 https://mdpi.com/books/pdfview/book/8059 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-9099-8 10.3390/books978-3-0365-9099-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036590981 9783036590998 452 Basel open access |
| spellingShingle | big data image processing deep learning signal processing digital era thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science Deep Learning in Big Data, Image, and Signal Processing in the Modern Digital Age |
| title | Deep Learning in Big Data, Image, and Signal Processing in the Modern Digital Age |
| title_full | Deep Learning in Big Data, Image, and Signal Processing in the Modern Digital Age |
| title_fullStr | Deep Learning in Big Data, Image, and Signal Processing in the Modern Digital Age |
| title_full_unstemmed | Deep Learning in Big Data, Image, and Signal Processing in the Modern Digital Age |
| title_short | Deep Learning in Big Data, Image, and Signal Processing in the Modern Digital Age |
| title_sort | deep learning in big data image and signal processing in the modern digital age |
| topic | big data image processing deep learning signal processing digital era thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science |
| topic_facet | big data image processing deep learning signal processing digital era thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science |
| url | ONIX_20231130_9783036590981_59 |