{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T18:52:18Z","timestamp":1763664738286,"version":"3.37.3"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100019782","name":"North South University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100019782","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,1]]},"DOI":"10.1109\/uemcon53757.2021.9666562","type":"proceedings-article","created":{"date-parts":[[2022,1,10]],"date-time":"2022-01-10T21:14:58Z","timestamp":1641849298000},"page":"0541-0547","source":"Crossref","is-referenced-by-count":6,"title":["Stock Market Prediction using Recurrent Neural Network\u2019s LSTM Architecture"],"prefix":"10.1109","author":[{"given":"Koushik","family":"Sutradhar","sequence":"first","affiliation":[]},{"given":"Sourav","family":"Sutradhar","sequence":"additional","affiliation":[]},{"given":"Iqbal","family":"Ahmed Jhimel","sequence":"additional","affiliation":[]},{"given":"Suneet","family":"Kumar Gupta","sequence":"additional","affiliation":[]},{"given":"Mohammad","family":"Monirujjaman Khan","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/HICSS.1996.495431"},{"key":"ref11","article-title":"Financial time series forecasting by neural network using conjugate gradient learning algorithm and multiple linear regression weight initialization","volume":"61","author":"chan","year":"2000","journal-title":"Computing in Economics and Finance"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/72.728395"},{"article-title":"A machine learning model for stock market prediction","year":"2014","author":"hegazy","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/S0957-4174(00)00027-0"},{"key":"ref15","first-page":"357","article-title":"Prediction of stock trends by using the wavelet transform and the multi-stage fuzzy inference system optimized by the ga","volume":"83","author":"kishikawa","year":"2000","journal-title":"IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences"},{"key":"ref16","first-page":"73","article-title":"Predicting stock market: An approach with artificial intelligence","volume":"13","author":"srivastava","year":"2017"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-017-2228-y"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.03.029"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"1351","DOI":"10.1016\/j.procs.2018.05.050","article-title":"Nse Stock market prediction using deep-learning models","volume":"132","author":"hiransha","year":"2018","journal-title":"Procedia Computer Science"},{"article-title":"Time series analysis: forecasting and control","year":"2015","author":"box","key":"ref4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-40973-3_13"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.12.025"},{"key":"ref5","article-title":"Deep learning for multivariate financial time series","author":"batres-estrada","year":"2015","journal-title":"SERC Technical Report"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICNN.1988.23959"},{"key":"ref7","first-page":"102212","article-title":"Incorporating stock prices and news sent-timents for stock market prediction: A case of Hong Kong","volume":"57","author":"li","year":"2020","journal-title":"Information & Management"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2006.01.001"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-349-20213-3_13"},{"key":"ref1","first-page":"440","article-title":"Forecasting of stock prices using multi layer perceptron","volume":"2","author":"devadoss","year":"2013","journal-title":"International Journal of Computing Algorithm"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CBI.2017.23"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2021\/9929274","article-title":"Deep Learning Approaches for Detecting Pneumonia in COVID-19 Patients by Analyzing Chest X-Ray Images","volume":"2021","author":"kamrul hasan","year":"2021","journal-title":"Mathematical Problems in Engineering"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2019.01.256"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/9917919"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/9984453"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IEMCON53756.2021.9623206"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/1299870"}],"event":{"name":"2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","start":{"date-parts":[[2021,12,1]]},"location":"New York, NY, USA","end":{"date-parts":[[2021,12,4]]}},"container-title":["2021 IEEE 12th Annual Ubiquitous Computing, Electronics &amp; Mobile Communication Conference (UEMCON)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9666478\/9666481\/09666562.pdf?arnumber=9666562","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:44:00Z","timestamp":1652197440000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9666562\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,1]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/uemcon53757.2021.9666562","relation":{},"subject":[],"published":{"date-parts":[[2021,12,1]]}}}