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Efficient time-series forecasting using neural network and opposition-based coral reefs optimization
Názov Efficient time-series forecasting using neural network and opposition-based coral reefs optimization Autor Nguyen Thieu Spoluautori Nguyen Tu Nguyen Binh Minh SCOPUS RID ORCID Nguyen Giang 1972- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Zdroj.dok. International Journal of Computational Intelligence Systems. Vol. 12, no. 2 (2019), p. 1144-1161 Jazyk dok. eng - angličtina Krajina NL - Holandsko URL URL link Druh dok. rozpis článkov z periodík (rbx) Ohlasy ABDULLAH, Suhail Najm. Forecasting iraqi oil production using artificial neural networks. In Periodicals of Engineering and Natural Sciences, 2020-01-01, 8, 1, pp. 438-446. ZHANG, Hong - HOANG NGUYEN - DIEP-ANH VU - XUAN-NAM BUI - PRADHAN, Biswajeet. Forecasting monthly copper price: A comparative study of various machine learning-based methods. In RESOURCES POLICY. ISSN 0301-4207, 2021, vol. 73, no., pp. LATIF, Sarmad Dashti - AHMED, Ali Najah - SATHIAMURTHY, Edlic - HUANG, Yuk Feng - EL-SHAFIE, Ahmed. 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Dostupné na: https://doi.org/10.1016/j.jrmge.2021.08.005. BALDAN, Francisco J. - PERALTA, Daniel - SAEYS, Yvan - BENITEZ, Jose M. SCMFTS: Scalable and Distributed Complexity Measures and Features for Univariate and Multivariate Time Series in Big Data Environments. In INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2021, vol. 14, no. 1, pp. ISSN 1875-6891. Dostupné na: https://doi.org/10.1007/s44196-021-00036-7. FOUTSITZI, Georgia - GOGOS, Christos - MAGKLARAS, Aris - ANTONIADIS, Nikolaos. Multi-Objective Design Optimization of Piezoelectric Energy Harvesting System for Unmanned Aerial Vehicles. In 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference, SEEDA-CECNSM 2021, 2021-01-01, pp. Dostupné na: https://doi.org/10.1109/SEEDA-CECNSM53056.2021.9566231. ASHOUR, Marwan Abdul Hameed - AL-DAHHAN, Iman A.H. Optimal Prediction Using Artificial Intelligence Application. In Advances in Intelligent Systems and Computing. ISSN 21945357, 2021-01-01, 1378 AISC, pp. 76-83. MOHAN, Anju S. - ABRAHAM, Lizy. An Ensemble Deep Learning Model for Forecasting Hourly PM2.5 Concentrations. In IETE JOURNAL OF RESEARCH, 2022, vol., no., pp. ISSN 0377-2063. Dostupné na: https://doi.org/10.1080/03772063.2022.2089747. FOUTSITZI, Georgia - GOGOS, Christos - ANTONIADIS, Nikolaos - MAGKLARAS, Aris. Multicriteria Approach for Design Optimization of Lightweight Piezoelectric Energy Harvesters Subjected to Stress Constraints. In INFORMATION, 2022, vol. 13, no. 4, pp. Dostupné na: https://doi.org/10.3390/info13040182. CHEN, Lei - ZHANG, Weiwen - YE, Haiming. Accurate workload prediction for edge data centers: Savitzky-Golay filter, CNN and BiLSTM with attention mechanism. In APPLIED INTELLIGENCE, 2022, vol., no., pp. ISSN 0924-669X. Dostupné na: https://doi.org/10.1007/s10489-021-03110-x. XIE, Chengyu - HOANG NGUYEN - CHOI, Yosoon - ARMAGHANI, Danial Jahed. Optimized functional linked neural network for predicting diaphragm wall deflection induced by braced excavations in clays. In GEOSCIENCE FRONTIERS, 2022, vol. 13, no. 2, pp. ISSN 1674-9871. Dostupné na: https://doi.org/10.1016/j.gsf.2021.101313. MANAFI, Ehsan - TAVAKKOLI-MOGHADDAM, Reza - MAHMOODJANLOO, Mehdi. A centroid opposition-based coral reefs algorithm for solving an automated guided vehicle routing problem with a recharging constraint. In APPLIED SOFT COMPUTING, 2022, vol. 128, no., pp. ISSN 1568-4946. Dostupné na: https://doi.org/10.1016/j.asoc.2022.109504. LIANG, Rui - LE-HUNG, Tien - NGUYEN-THOI, Trung. Energy consumption prediction of air-conditioning systems in eco-buildings using hunger games search optimization-based artificial neural network model. In JOURNAL OF BUILDING ENGINEERING, 2022, vol. 59, no., pp. Dostupné na: https://doi.org/10.1016/j.jobe.2022.105087. TAMESWAR, Kajal - SUDDUL, Geerish - DOOKHITRAM, Kumar. A hybrid deep learning approach with genetic and coral reefs metaheuristics for enhanced defect detection in software. In International Journal of Information Management Data Insights, 2022-11-01, 2, 2, pp. Dostupné na: https://doi.org/10.1016/j.jjimei.2022.100105. KADDI, S.S. - PATIL, M.M. Forecasting the survival rate of breast cancer patients using a supervised learning method. In Global Transitions Proceedings. 2022, vol. 3, no. 1, pp. 25-30. doi: 10.1016/j.gltp.2022.04.005. LU, Jiajia - DING, Yanqiu - LI, Zheng. Optimizing financial engineering time indicator using bionics computation algorithm and neural network. In Proceedings of SPIE The International Society for Optical Engineering, 2023-01-01, 12803, pp. ISSN 0277786X. Dostupné na: https://doi.org/10.1117/12.3009279. NAYAK, G.H. - VARALAKSHMI, A. - MANJUNATH, M.G. - AVINASH, G. - BAISHYA, M. Trend analysis and prediction of rainfall using deep learning models in three sub-divisions of Karnataka. In Journal of Experimental Agriculture International. 2023, vol. 45, no. 4, pp. 36-48. doi: 10.9734/jeai/2023/v45i42114. AL NUAIMY, L. Neural network models for time series analysis and estimation. In International Congress on Information and Communication Technology (ICICT 2023). Springer Nature Singapore. 2023, pp. 159-169. doi: 978-981-99-3091-3_13. PATEL, Jigar - MODI, Kirit. Indian Food Image Classification and Recognition with Transfer Learning Technique Using MobileNetV3 and Data Augmentation †. In Engineering Proceedings, 2024-01-01, 56, 1, pp. Dostupné na: https://doi.org/10.3390/ASEC2023-15341. Kategória ADCA - Vedecké práce v zahraničných karentovaných časopisoch impaktovaných Kategória (od 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Typ výstupu článok Rok vykazovania 2020 Registrované v WOS Registrované v SCOPUS Registrované v CCC DOI 10.2991/ijcis.d.190930.003 
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