{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T12:41:33Z","timestamp":1776688893645,"version":"3.51.2"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032184795","type":"print"},{"value":"9783032184801","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-18480-1_71","type":"book-chapter","created":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T11:50:00Z","timestamp":1776685800000},"page":"699-707","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Quantum Enhanced LSTM for\u00a0Day Level Parcel Count Forecasting"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-4182-8549","authenticated-orcid":false,"given":"Rahul","family":"Rana","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kuntal","family":"Adak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sakshi","family":"Kaushik","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-4454-4512","authenticated-orcid":false,"given":"Suman Kumar","family":"Roy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andr\u00e9","family":"Siggesj\u00f6","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Frida","family":"Nellros","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amrit","family":"Singh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"Mejlvang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sudhakara","family":"Poojary","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"C. V.","family":"Sridhar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Godfrey Claudin","family":"Mathais","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,4,21]]},"reference":[{"issue":"4","key":"71_CR1","doi-asserted-by":"publisher","first-page":"764","DOI":"10.1016\/j.ijforecast.2008.09.008","volume":"24","author":"NV Karakatsani","year":"2008","unstructured":"Karakatsani, N.V., Bunn, D.W.: Forecasting electricity prices: the impact of fundamentals and time-varying coefficients. Int. J. Forecast. 24(4), 764\u2013785 (2008)","journal-title":"Int. J. Forecast."},{"issue":"2","key":"71_CR2","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1002\/for.2624","volume":"39","author":"I Shah","year":"2020","unstructured":"Shah, I., Lisi, F.: Forecasting of electricity price through a functional prediction of sale and purchase curves. J. Forecast. 39(2), 242\u2013259 (2020)","journal-title":"J. Forecast."},{"key":"71_CR3","doi-asserted-by":"crossref","unstructured":"Raiyani, A., Lathigara, A., Mehta, H.: Usage of time series forecasting model in supply chain sales prediction. In: IOP Conference Series: Materials Science and Engineering. vol. 1042. no. 1. IOP Publishing (2021)","DOI":"10.1088\/1757-899X\/1042\/1\/012022"},{"key":"71_CR4","doi-asserted-by":"crossref","unstructured":"Ghanbari, R., Borna, K.: Multivariate time-series prediction using LSTM neural networks. In: 2021 26th International Computer Conference, Computer Society of Iran (CSICC), IEEE (2021)","DOI":"10.1109\/CSICC52343.2021.9420543"},{"issue":"8","key":"71_CR5","doi-asserted-by":"publisher","first-page":"5929","DOI":"10.1007\/s10462-020-09838-1","volume":"53","author":"G Van Houdt","year":"2020","unstructured":"Van Houdt, G., Mosquera, C., N\u00e1poles, G.: A review on the long short-term memory model. Artif. Intell. Rev. 53(8), 5929\u20135955 (2020)","journal-title":"Artif. Intell. Rev."},{"issue":"11","key":"71_CR6","doi-asserted-by":"publisher","first-page":"2379","DOI":"10.3390\/electronics12112379","volume":"12","author":"KA Tychola","year":"2023","unstructured":"Tychola, K.A., Kalampokas, T., Papakostas, G.A.: Quantum machine learning\u2013an overview. Electronics 12(11), 2379 (2023)","journal-title":"Electronics"},{"issue":"2","key":"71_CR7","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1007\/s42484-023-00115-2","volume":"5","author":"Y Cao","year":"2023","unstructured":"Cao, Y., et al.: Linear-layer-enhanced quantum long short-term memory for carbon price forecasting. Quantum Mach. Intell. 5(2), 26 (2023)","journal-title":"Quantum Mach. Intell."},{"key":"71_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TQE.2023.3271362","volume":"4","author":"Y Yu","year":"2023","unstructured":"Yu, Y., et al.: Prediction of solar irradiance one hour ahead based on quantum long short-term memory network. IEEE Trans. Quantum Eng. 4, 1\u201315 (2023)","journal-title":"IEEE Trans. Quantum Eng."},{"key":"71_CR9","doi-asserted-by":"crossref","unstructured":"Zafar Khan, S., et al.: Quantum long short-term memory (QLSTM) vs classical LSTM in time series forecasting: a comparative study in solar power forecasting. arXiv e-prints: arXiv-2310 (2023)","DOI":"10.3389\/fphy.2024.1439180"},{"key":"71_CR10","doi-asserted-by":"crossref","unstructured":"Beaudoin, C., et al.: Quantum machine learning for material synthesis and hardware security. In: Proceedings of the 41st IEEE\/ACM International Conference on Computer-Aided Design (2022)","DOI":"10.1145\/3508352.3561115"},{"key":"71_CR11","doi-asserted-by":"crossref","unstructured":"Chen, S.Y.C., Yoo, S., Fang, Y.L.L.: Quantum long short-term memory. In: ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE (2022)","DOI":"10.1109\/ICASSP43922.2022.9747369"},{"key":"71_CR12","unstructured":"Bergholm, V., et al.: Pennylane: Automatic differentiation of hybrid quantum-classical computations. arXiv preprint arXiv:1811.04968 (2018)"},{"key":"71_CR13","unstructured":"Amazon Web Services. Amazon Braket (2020)"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Machine Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-18480-1_71","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T11:50:08Z","timestamp":1776685808000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-18480-1_71"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032184795","9783032184801"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-18480-1_71","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"21 April 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PReMI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition and Machine Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Delhi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 December 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 December 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"premi2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/premi25-git-dev-ashirbad97s-projects.vercel.app\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}