{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,15]],"date-time":"2026-02-15T20:58:12Z","timestamp":1771189092289,"version":"3.50.1"},"reference-count":35,"publisher":"Tech Science Press","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.32604\/iasc.2023.027703","type":"journal-article","created":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T02:42:18Z","timestamp":1658198538000},"page":"1455-1470","source":"Crossref","is-referenced-by-count":9,"title":["Modeling of Optimal Deep Learning Based Flood Forecasting Model Using Twitter Data"],"prefix":"10.32604","volume":"35","author":[{"given":"G.","family":"Indra","sequence":"first","affiliation":[]},{"given":"N.","family":"Duraipandian","sequence":"additional","affiliation":[]}],"member":"17807","reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/w12030787","article-title":"Real-time probabilistic flood forecasting using multiple machine learning methods","volume":"12","author":"Nguyen","year":"2020","journal-title":"Water"},{"key":"ref2","first-page":"102","article-title":"IoT, big data and HPC based smart flood management framework","volume":"20","author":"Sood","year":"2020","journal-title":"Sustainable Computing: Informatics and Systems"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/w10111536","article-title":"Flood prediction using machine learning models: Literature review","volume":"10","author":"Mosavi","year":"2018","journal-title":"Water"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/s20154117","article-title":"Active volume control in smart phones based on user activity and ambient noise","volume":"20","author":"Ambeth Kumar","year":"2020","journal-title":"Sensors"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/w11071387","article-title":"Application of long short-term memory neural network for flood forecasting","volume":"11","author":"Le","year":"2019","journal-title":"Water"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.envsoft.2016.11.010","article-title":"A Real-time probabilistic channel flood-forecasting model based on the Bayesian particle filter approach","volume":"88","author":"Xu","year":"2018","journal-title":"Environmental Modelling & Software"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1016\/j.procs.2019.08.214","article-title":"Flood forecasting with machine learning technique on hydrological modeling","volume":"156","author":"Noymanee","year":"2018","journal-title":"Procedia Computer Science"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jhydrol.2020.124631","article-title":"Exploring a long short-term memory based encoder-decoder framework for multi-step-ahead flood forecasting","volume":"583","author":"Kao","year":"2020","journal-title":"Journal of Hydrology"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"50982","DOI":"10.1109\/ACCESS.2021.3065939","article-title":"Designing deep-based learning flood forecast model with ConvLSTM hybrid algorithm","volume":"9","author":"Moishin","year":"2021","journal-title":"IEEE Access"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/w10101362","article-title":"Flood forecasting based on an improved extreme learning machine model combined with the backtracking search optimization algorithm","volume":"10","author":"Chen","year":"2018","journal-title":"Water"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jhydrol.2021.126898","article-title":"U-FLOOD\u2013Topographic deep learning for predicting urban pluvial flood water depth","volume":"603","author":"L\u00f6we","year":"2021","journal-title":"Journal of Hydrology"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"5885","DOI":"10.1109\/ACCESS.2019.2963819","article-title":"Flood forecasting system based on integrated big and crowdsource data by using machine learning techniques","volume":"8","author":"Puttinaovarat","year":"2020","journal-title":"IEEE Access"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/j.catena.2018.12.011","article-title":"Identifying the essential flood conditioning factors for flood prone area mapping using machine learning techniques","volume":"175","author":"Tehrany","year":"2019","journal-title":"Catena"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.scitotenv.2019.135983","article-title":"Integrated machine learning methods with resampling algorithms for flood susceptibility prediction","volume":"705","author":"Dodangeh","year":"2020","journal-title":"Science of the Total Environment"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"70375","DOI":"10.1109\/ACCESS.2020.2986090","article-title":"IoT-Enabled flood severity prediction via ensemble machine learning models","volume":"8","author":"Khalaf","year":"2020","journal-title":"IEEE Access"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.procs.2020.05.022","article-title":"Social media network owings to disruptions for effective learning","volume":"172","author":"Neelakandan","year":"2020","journal-title":"Procedia Computer Science"},{"key":"ref17","series-title":"Int. Conf. on Computation of Power, Energy Information and Communication (ICCPEIC)","first-page":"193","article-title":"Large scale optimization to minimize network traffic using MapReduce in big data applications","author":"Divyabharathi","year":"April 2016"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"1","DOI":"10.4018\/IJORIS.20210701.oa4","article-title":"An enhanced security measure for multimedia images using hadoop cluster","volume":"12","author":"Balasaravanan","year":"2021","journal-title":"International Journal of Operations Research and Information Systems"},{"key":"ref19","first-page":"2969","article-title":"An efficient technique for cloud storage using secured de-duplication algorithm","volume":"42","author":"Manikandan","year":"2021","journal-title":"Journal of Intelligent & Fuzzy Systems"},{"key":"ref20","series-title":"Proc. of the 2019 Conf. of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019","first-page":"2","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2019"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1016\/j.patrec.2021.10.021","article-title":"Intelligent deep learning based bidirectional long short term memory model for automated reply of e-mail client prototype","volume":"152","author":"Rajaram","year":"2021","journal-title":"Pattern Recognition Letters"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"133","DOI":"10.3390\/s21010133","article-title":"An effective BERT-based pipeline for twitter sentiment analysis: A case study in Italian","volume":"21","author":"Pota","year":"2021","journal-title":"Sensors"},{"key":"ref23","series-title":"Proc. of the 2017 IEEE Conf. on Energy Internet and Energy System Integration (EI2)","first-page":"1","article-title":"Short-term electricity load forecasting method based on multilayered self-normalizing GRU network","author":"Kuan","year":"2017"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"1815","DOI":"10.32604\/iasc.2022.021822","article-title":"Blockchain for securing healthcare data using squirrel search optimization algorithm","volume":"32","author":"Jaishankar","year":"2022","journal-title":"Intelligent Automation & Soft Computing"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1177\/1063293X211031485","article-title":"An automated learning model for sentiment analysis and data classification of twitter data using balanced CA-SVM","volume":"29","author":"Pretty Diana Cyril","year":"2020","journal-title":"Concurrent Engineering Research and Applications"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"4979","DOI":"10.1007\/s12652-020-01937-9","article-title":"An automated exploring and learning model for data prediction using balanced ca-svm","volume":"12","author":"Neelakandan","year":"2020","journal-title":"Journal of Ambient Intelligence and Humanized Computing"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"68316","DOI":"10.1109\/ACCESS.2019.2918563","article-title":"Optimizing parameters of multi-layer convolutional neural network by modeling and optimization method","volume":"7","author":"Chou","year":"2019","journal-title":"IEEE Access"},{"key":"ref28","first-page":"1","article-title":"A gradient boosted decision tree-based sentiment classification of twitter data","volume":"18","author":"Paulraj","year":"2020","journal-title":"International Journal of Wavelets, Multiresolution and Information Processing"},{"key":"ref29","first-page":"1","article-title":"A cloud interoperability framework using i-anfis","volume":"13","author":"Chithambaramani","year":"2021","journal-title":"Symmetry"},{"key":"ref30","first-page":"1","article-title":"Interpretable filter based convolutional neural network (IF-CNN) for glucose prediction and classification using PD-SS algorithm","volume":"183","author":"Rohit","year":"2021","journal-title":"Measurement"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"1617","DOI":"10.32604\/iasc.2022.022209","article-title":"An automated word embedding with parameter tuned model for web crawling","volume":"32","author":"Bhukya","year":"2022","journal-title":"Intelligent Automation & Soft Computing"},{"key":"ref32","first-page":"1","article-title":"IoT enabled environmental toxicology for air pollution monitoring using AI techniques","volume":"205","author":"Natrayan","year":"2022","journal-title":"Environmental Research"},{"key":"ref33","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2019.105190","article-title":"Equilibrium optimizer: A novel optimization algorithm","volume":"191","author":"Faramarzi","year":"2020","journal-title":"Knowledge-Based Systems"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"621","DOI":"10.32604\/iasc.2022.019117","article-title":"Deep Learning-Based Skin Lesion Diagnosis Model Using Dermoscopic Images","volume":"31","author":"Al-Atroshi","year":"2022","journal-title":"Intelligent Automation & Soft Computing"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/sym13020317","article-title":"Addressing semantics standards for cloud portability and interoperability in multi cloud environment","volume":"13","author":"Ramalingam","year":"2021","journal-title":"Symmetry"}],"container-title":["Intelligent Automation & Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.techscience.com\/ueditor\/files\/iasc\/TSP_IASC-35-2\/TSP_IASC_27703\/TSP_IASC_27703.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T21:28:59Z","timestamp":1733520539000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/iasc\/v35n2\/48883"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":35,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2023]]}},"URL":"https:\/\/doi.org\/10.32604\/iasc.2023.027703","relation":{},"ISSN":["1079-8587"],"issn-type":[{"value":"1079-8587","type":"print"}],"subject":[],"published":{"date-parts":[[2023]]}}}