{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T03:05:10Z","timestamp":1743044710026,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":14,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819702923"},{"type":"electronic","value":"9789819702930"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-97-0293-0_3","type":"book-chapter","created":{"date-parts":[[2024,4,26]],"date-time":"2024-04-26T13:02:24Z","timestamp":1714136544000},"page":"33-48","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Artificial Intelligence (AI) Empowered Sign Language Recognition Using Hybrid Neural Networks"],"prefix":"10.1007","author":[{"given":"Ambar","family":"Saxena","sequence":"first","affiliation":[]},{"given":"Nailya","family":"Sultanova","sequence":"additional","affiliation":[]},{"given":"Jamila","family":"Mustafina","sequence":"additional","affiliation":[]},{"given":"Noor Lees","family":"Ismail","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,4,27]]},"reference":[{"key":"3_CR1","doi-asserted-by":"crossref","unstructured":"Subburaj S, Murugavalli S (2022) Survey on sign language recognition in context of vision-based and deep learning. Meas Sens 23:100385. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2665917422000198","DOI":"10.1016\/j.measen.2022.100385"},{"key":"3_CR2","doi-asserted-by":"publisher","first-page":"785","DOI":"10.1007\/s11831-019-09384-2","volume":"283","author":"A Wadhawan","year":"2021","unstructured":"Wadhawan A, Kumar P (2021) Sign Language recognition systems: a decade systematic literature review. Arch Comput Methods Eng 283:785\u2013813. https:\/\/doi.org\/10.1007\/s11831-019-09384-2","journal-title":"Arch Comput Methods Eng"},{"key":"3_CR3","unstructured":"Rathi D (2018) Optimization of transfer learning for sign language recognition targeting mobile platform. CoRR, abs\/1805.06618. http:\/\/arxiv.org\/abs\/1805.06618"},{"key":"3_CR4","doi-asserted-by":"crossref","unstructured":"Masood S, Thuwal HC, Srivastava A (2018) American sign language character recognition using convolution neural network. In: Satapathy Suresh Chandra DS, Bhateja (eds) Smart computing, and informatics. Springer Singapore, Singapore, pp 403\u2013412","DOI":"10.1007\/978-981-10-5547-8_42"},{"key":"3_CR5","unstructured":"Simonyan K, Zisserman A (2014) Very deep convolutional networks for large-scale image recognition. ICLR. http:\/\/arxiv.org\/abs\/1409.1556"},{"key":"3_CR6","doi-asserted-by":"publisher","unstructured":"Mannan A, Abbasi A, Javed AR, Ahsan A, Gadekallu TR, Xin Q (2022) Hypertuned deep convolutional neural network for sign language recognition. Comput Intell Neurosci 1450822. https:\/\/doi.org\/10.1155\/2022\/1450822","DOI":"10.1155\/2022\/1450822"},{"key":"3_CR7","doi-asserted-by":"crossref","unstructured":"Katoch S, Singh V, Tiwary US (2022) Indian sign language recognition system using SURF with SVM and CNN. Array 14:100141. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2590005622000121","DOI":"10.1016\/j.array.2022.100141"},{"key":"3_CR8","doi-asserted-by":"publisher","first-page":"1305","DOI":"10.1007\/s11760-021-02082-2","volume":"165","author":"T Yirtici","year":"2022","unstructured":"Yirtici T, Yurtkan K (2022) Regional-CNN-based enhanced Turkish sign language recognition. SIViP 165:1305\u20131311. https:\/\/doi.org\/10.1007\/s11760-021-02082-2","journal-title":"SIViP"},{"key":"3_CR9","doi-asserted-by":"crossref","unstructured":"Gupta N (2022) Sign language recognition using diverse deep learning models. In: Goutam G, Travieso-Gonz\u00e1lez CM et al (eds) International conference on artificial intelligence and sustainable engineering. Springer, Singapore, pp 463\u2013475","DOI":"10.1007\/978-981-16-8546-0_38"},{"key":"3_CR10","doi-asserted-by":"publisher","first-page":"26319","DOI":"10.1007\/s11042-021-10768-5","volume":"8017","author":"S Sharma","year":"2021","unstructured":"Sharma S, Kumar K (2021) ASL-3DCNN: American sign language recognition technique using 3-D convolutional neural networks. Multimedia Tools Appl 8017:26319\u201326331. https:\/\/doi.org\/10.1007\/s11042-021-10768-5","journal-title":"Multimedia Tools Appl"},{"key":"3_CR11","unstructured":"Bheda V, Radpour D (2017) Using deep convolutional networks for gesture recognition in American sign language. CoRR, abs\/1710.06836. http:\/\/arxiv.org\/abs\/1710.06836"},{"key":"3_CR12","doi-asserted-by":"crossref","unstructured":"Rao GA, Syamala K, Kishore PV, Sastry ASCS (2018) Deep convolutional neural networks for sign language recognition. In: 2018 Conference on signal processing and communication engineering systems, SPACES, pp 194\u2013197","DOI":"10.1109\/SPACES.2018.8316344"},{"key":"3_CR13","doi-asserted-by":"publisher","first-page":"1311","DOI":"10.1007\/s11263-018-1121-3","volume":"12612","author":"O Koller","year":"2018","unstructured":"Koller O, Zargaran S, Ney H, Bowden R (2018) Deep sign: enabling robust statistical continuous sign language recognition via hybrid CNN-HMMs. Int J Comput Vision 12612:1311\u20131325. https:\/\/doi.org\/10.1007\/s11263-018-1121-3","journal-title":"Int J Comput Vision"},{"key":"3_CR14","doi-asserted-by":"crossref","unstructured":"Kandel I, Castelli M, Popovi\u010d A (2021) Comparing stacking ensemble techniques to improve musculoskeletal fracture image classification. J Imaging 76. https:\/\/www.mdpi.com\/2313-433X\/7\/6\/100","DOI":"10.3390\/jimaging7060100"}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Data Science and Emerging Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-0293-0_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,26]],"date-time":"2024-04-26T13:04:48Z","timestamp":1714136688000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-0293-0_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819702923","9789819702930"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-0293-0_3","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"type":"print","value":"2367-4512"},{"type":"electronic","value":"2367-4520"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"27 April 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DaSET","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The International Conference on Data Science and Emerging Technologies","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 December 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"daset2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.icdaset.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}