{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T09:14:59Z","timestamp":1742980499188,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":12,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819967018"},{"type":"electronic","value":"9789819967025"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-981-99-6702-5_23","type":"book-chapter","created":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T18:02:42Z","timestamp":1700503362000},"page":"277-285","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Satellite-Based Rainfall Prediction Model Using Convolution Neural Networks"],"prefix":"10.1007","author":[{"given":"T.","family":"Lakshmi Sujitha","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"T.","family":"Anuradha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G.","family":"Akshitha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,11,21]]},"reference":[{"key":"23_CR1","doi-asserted-by":"publisher","first-page":"1487","DOI":"10.1109\/TGRS.2019.2948070","volume":"58","author":"L Han","year":"2020","unstructured":"Han, L., Sun, J., Zhang, W.: Convolutional neural network for convective storm nowcasting using 3D doppler weather radar data. IEEE Trans. Geosci. Remote Sens. 58, 1487\u20131495 (2020)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"23_CR2","doi-asserted-by":"publisher","first-page":"785","DOI":"10.1175\/1520-0426(1993)010<0785:TTITAA>2.0.CO;2","volume":"10","author":"M Dixon","year":"1993","unstructured":"Dixon, M., Weiner, G.: TITAN: thunderstorm identification, tracking analysis and nowcasting\u2014a radar-based methodology. J. Atmos. Ocean. Technol. 10, 785\u2013797 (1993)","journal-title":"J. Atmos. Ocean. Technol."},{"key":"23_CR3","doi-asserted-by":"crossref","unstructured":"Boonyuen, K., Kaewprapha, P., Srivihok, P.: Daily rainfall forecast model from satellite image using Convolution neural network. In: 2018 International Conference on Information Technology (InCIT), pp. 1\u20137 (2018)","DOI":"10.23919\/INCIT.2018.8584886"},{"key":"23_CR4","doi-asserted-by":"crossref","unstructured":"Ionescu, V.-S., Czibula, G., Mihule\u0163, E.: A deep learning model for prediction of satellite images for nowcasting purposes. In: 25th Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2021), pp. 622\u2013631 (2021)","DOI":"10.1016\/j.procs.2021.08.064"},{"key":"23_CR5","unstructured":"Meena, B., Preethi, Gowtham, R., Aishvarya, S., Karthick, S., Sabareesh, D.G.: Rainfall prediction using machine learning and deep learning algorithms. In: Kariniotakis, G. (ed.) IWA Publishing, pp. 3448\u20133461 (2021)"},{"key":"23_CR6","doi-asserted-by":"crossref","unstructured":"Endalie, D., Haile, G., Taye, W.: Deep learning model for daily rainfall prediction: case study of Jimma, Ethiopia. Water Supply 22(3), 3448\u20133461 (2022)","DOI":"10.2166\/ws.2021.391"},{"key":"23_CR7","unstructured":"Susmelj, I., Heller, M., Wirth, P., Prescott, J., Ebner, M., et al.: Predicting Rain from Satellite Images, on articlesusmelj2020lightly in lightyai (2020)"},{"key":"23_CR8","doi-asserted-by":"publisher","first-page":"19751","DOI":"10.1038\/s41598-019-56452-5","volume":"9","author":"Y Liu","year":"2019","unstructured":"Liu, Y., Zhao, Q., Yao, W., et al.: Short-term rainfall forecast model based on the improved BP\u2013NN algorithm. Sci. Rep. 9, 19751 (2019)","journal-title":"Sci. Rep."},{"key":"23_CR9","doi-asserted-by":"publisher","unstructured":"Qiu, M., et al.: A short-term rainfall prediction model using multi-task convolutional neural networks. In: 2017 IEEE International Conference on Data Mining (ICDM), pp. 395\u2013404 (2017). https:\/\/doi.org\/10.1109\/ICDM.2017.49","DOI":"10.1109\/ICDM.2017.49"},{"key":"23_CR10","doi-asserted-by":"crossref","unstructured":"Sun, D., Wu, J., Huang, H., Wang, R., Liang, F., Xinhua, H.: Prediction of short-time rainfall based on deep learning. In: Mathematical Problems in Engineering, vol. 2021, Article ID 6664413 (2021)","DOI":"10.1155\/2021\/6664413"},{"key":"23_CR11","doi-asserted-by":"crossref","unstructured":"Barrera-Animas, A.Y., Oyedele, L.O., Bilal, M., Akinosho, T.D., Delgado, J.M.D., Akanbi, L.A.; Rainfall prediction: a comparative analysis of modern machine learning algorithms for time-series forecasting. In: Machine Learning with Applications, vol. 7, p. 100204 (2022). ISSN 2666-8270","DOI":"10.1016\/j.mlwa.2021.100204"},{"key":"23_CR12","doi-asserted-by":"crossref","unstructured":"Akbari Asanjan, A., Yang, T., Hsu, K., Sorooshian, S., Lin, J., Peng, Q.; Short-term precipitation forecast based on the PERSIANN system and LSTM recurrent neural networks. J. Geophys. Res.: Atmospheres 123, 12543\u201312563 (2018)","DOI":"10.1029\/2018JD028375"}],"container-title":["Smart Innovation, Systems and Technologies","Evolution in Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-6702-5_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T06:08:37Z","timestamp":1728454117000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-6702-5_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819967018","9789819967025"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-6702-5_23","relation":{},"ISSN":["2190-3018","2190-3026"],"issn-type":[{"type":"print","value":"2190-3018"},{"type":"electronic","value":"2190-3026"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"21 November 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"FICTA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Frontiers of Intelligent Computing: Theory and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cardiff","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 April 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 April 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ficta2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ficta.co.uk\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}