Journal articles on the topic 'LSTM. ESN'
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Chattopadhyay, Ashesh, Pedram Hassanzadeh, and Devika Subramanian. "Data-driven predictions of a multiscale Lorenz 96 chaotic system using machine-learning methods: reservoir computing, artificial neural network, and long short-term memory network." Nonlinear Processes in Geophysics 27, no. 3 (July 2, 2020): 373–89. http://dx.doi.org/10.5194/npg-27-373-2020.
Full textMirza, Sami F., and Abdulbasit K. Al-Talabani. "Efficient Kinect Sensor-based Kurdish Sign Language Recognition Using Echo System Network." ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY 9, no. 2 (October 13, 2021): 1–9. http://dx.doi.org/10.14500/aro.10827.
Full textPei, Jiaxin, and Jian Wang. "Multisensor Prognostic of RUL Based on EMD-ESN." Mathematical Problems in Engineering 2020 (November 24, 2020): 1–12. http://dx.doi.org/10.1155/2020/6639171.
Full textChen, Xiaojuan, Haiyang Zhang, and Hongwu Qin. "Lowering Nitrogen Oxide Emissions in a Coal-Powered 1000-MW Boiler." Journal of Sensors 2021 (August 8, 2021): 1–11. http://dx.doi.org/10.1155/2021/9958972.
Full textSheng, Hui, Min Liu, Jiyong Hu, Ping Li, Yali Peng, and Yugen Yi. "LA-ESN: A Novel Method for Time Series Classification." Information 14, no. 2 (January 26, 2023): 67. http://dx.doi.org/10.3390/info14020067.
Full textLi, Xin, Fengrong Bi, Lipeng Zhang, Xiao Yang, and Guichang Zhang. "An Engine Fault Detection Method Based on the Deep Echo State Network and Improved Multi-Verse Optimizer." Energies 15, no. 3 (February 7, 2022): 1205. http://dx.doi.org/10.3390/en15031205.
Full textTian, Ye, Yue-Ping Xu, Zongliang Yang, Guoqing Wang, and Qian Zhu. "Integration of a Parsimonious Hydrological Model with Recurrent Neural Networks for Improved Streamflow Forecasting." Water 10, no. 11 (November 14, 2018): 1655. http://dx.doi.org/10.3390/w10111655.
Full textYoussef, Samuel M., MennaAllah Soliman, Mahmood A. Saleh, Mostafa A. Mousa, Mahmoud Elsamanty, and Ahmed G. Radwan. "Modeling of Soft Pneumatic Actuators with Different Orientation Angles Using Echo State Networks for Irregular Time Series Data." Micromachines 13, no. 2 (January 29, 2022): 216. http://dx.doi.org/10.3390/mi13020216.
Full textFeitosa, Allan Rivalles Souza, Henrique Figuerôa Lacerda, Wellington Pinheiro dos Santos, and Abel Guilhermino da Silva Filho. "Household appliance usage recommendation based on demand forecasting and multiobjective optimization." Research, Society and Development 11, no. 1 (January 3, 2022): e13411124515. http://dx.doi.org/10.33448/rsd-v11i1.24515.
Full textRajamoorthy, Rajasekaran, Hemachandira V. Saraswathi, Jayanthi Devaraj, Padmanathan Kasinathan, Rajvikram Madurai Elavarasan, Gokulalakshmi Arunachalam, Tarek M. Mostafa, and Lucian Mihet-Popa. "A Hybrid Sailfish Whale Optimization and Deep Long Short-Term Memory (SWO-DLSTM) Model for Energy Efficient Autonomy in India by 2048." Sustainability 14, no. 3 (January 25, 2022): 1355. http://dx.doi.org/10.3390/su14031355.
Full textZheng, Guoxiao, Weifang Sun, Hao Zhang, Yuqing Zhou, and Chen Gao. "Tool wear condition monitoring in milling process based on data fusion enhanced long short-term memory network under different cutting conditions." Eksploatacja i Niezawodnosc - Maintenance and Reliability 23, no. 4 (August 23, 2021): 612–18. http://dx.doi.org/10.17531/ein.2021.4.3.
Full textWidiputra, Harya. "GA-Optimized Multivariate CNN-LSTM Model for Predicting Multi-channel Mobility in the COVID-19 Pandemic." Emerging Science Journal 5, no. 5 (October 1, 2021): 619–35. http://dx.doi.org/10.28991/esj-2021-01300.
Full textSeo, Yeongung, Seungyoung Park, Myungjin Kim, and Sungbin Lim. "ESS Operation Scheduling Scheme Using LSTM for Peak Demand Reduction." Journal of KIISE 46, no. 11 (November 30, 2019): 1165–73. http://dx.doi.org/10.5626/jok.2019.46.11.1165.
Full textIslam, Umar, Rami Qays Malik, Amnah S. Al-Johani, Muhammad Riaz Khan, Yousef Ibrahim Daradkeh, Ijaz Ahmad, Khalid A. Alissa, Zulkiflee Abdul-Samad, and Elsayed M. Tag-Eldin. "A Novel Anomaly Detection System on the Internet of Railways Using Extended Neural Networks." Electronics 11, no. 18 (September 6, 2022): 2813. http://dx.doi.org/10.3390/electronics11182813.
Full textLindemann, Benjamin, Nasser Jazdi, and Michael Weyrich. "Detektion von Anomalien zur Qualitätssicherung basierend auf Sequence-to-Sequence LSTM Netzen." at - Automatisierungstechnik 67, no. 12 (November 18, 2019): 1058–68. http://dx.doi.org/10.1515/auto-2019-0076.
Full textSantos, Rolando A., and Brian W. Sloboda. "Macroeconomic Forecasting Examining the COVID-19 Pandemic Using Selected Countries: A Machine Learning LSTM (Long Term Short Term Memory) Approach." European Scientific Journal, ESJ 18, no. 12 (April 30, 2022): 1. http://dx.doi.org/10.19044/esj.2022.v18n12p1.
Full textJieyang, Peng, Wang Dongkun, Andreas Kimmig, Mikhail A. Langovoy, Wang Jiahai, and Jivka Ovtcharova. "Ein hybrides RNN-Modell für die mittel- bis langfristige Vorhersage des Strombedarfs unter Berücksichtigung von Wettereinflüssen." at - Automatisierungstechnik 69, no. 1 (January 1, 2021): 73–83. http://dx.doi.org/10.1515/auto-2020-0033.
Full textBrenner, Claire, Jonathan Frame, Grey Nearing, and Karsten Schulz. "Schätzung der Verdunstung mithilfe von Machine- und Deep Learning-Methoden." Österreichische Wasser- und Abfallwirtschaft 73, no. 7-8 (May 17, 2021): 295–307. http://dx.doi.org/10.1007/s00506-021-00768-y.
Full textNatasya and Abba Suganda Girsang. "Modified EDA and Backtranslation Augmentation in Deep Learning Models for Indonesian Aspect-Based Sentiment Analysis." Emerging Science Journal 7, no. 1 (November 7, 2022): 256–72. http://dx.doi.org/10.28991/esj-2023-07-01-018.
Full textBestaeva, Salome. "Rural Tourism Business as an Economic Instrument for the Development of Economically Backward Regions." European Scientific Journal, ESJ 18, no. 29 (September 30, 2022): 1. http://dx.doi.org/10.19044/esj.2022.v18n29p1.
Full textHuang, Yu, Lichao Yang, and Zuntao Fu. "Reconstructing coupled time series in climate systems using three kinds of machine-learning methods." Earth System Dynamics 11, no. 3 (September 18, 2020): 835–53. http://dx.doi.org/10.5194/esd-11-835-2020.
Full textChen, Min-Rong, Guo-Qiang Zeng, Kang-Di Lu, and Jian Weng. "A Two-Layer Nonlinear Combination Method for Short-Term Wind Speed Prediction Based on ELM, ENN, and LSTM." IEEE Internet of Things Journal 6, no. 4 (August 2019): 6997–7010. http://dx.doi.org/10.1109/jiot.2019.2913176.
Full textMartín Guerrero, JM, C. Ortiz Moyano, and C. Rodríguez Alonso. "Underwater mucosectomy of a 25 mm IIa-LSTG homogeneous lession at the transverse colon." Revista Andaluza de Patología Digestiva 44, no. 2 (April 30, 2021): 56–58. http://dx.doi.org/10.37352/2021442.3.
Full textFadli, Faisal, Saib Suwilo, and Muhammad Zarlis. "Model Prediksi Data Besar Distribusi Produk Farmasi: Analisis Kinerja Model Deep Learning." CSRID (Computer Science Research and Its Development Journal) 14, no. 1 (February 10, 2022): 68. http://dx.doi.org/10.22303/csrid.14.1.2021.79-91.
Full textLee, Yao Hui A., and Wen Cheng J. Wei. "Processing and Characterization of La2O3-SiO2-B2O3 (LSB) Based Glass-Ceramics for LTCC Application." Key Engineering Materials 280-283 (February 2007): 935–40. http://dx.doi.org/10.4028/www.scientific.net/kem.280-283.935.
Full textGuilarte López-Mañas, J., F. Valverde López, and E. Fernández. "Fragment mucosectomy (PEMR) of a 45 mm rectal lesion (mixed nodular LST-G)." Revista Andaluza de Patología Digestiva 44, no. 3 (June 30, 2021): 98–100. http://dx.doi.org/10.37352/2021443.2.
Full textTanno, Nobuhiro, Kazuo Koyanagi, Satoshi Tabuchi, Hideyuki Tawara, Makoto Nishimura, Osamu Togawa, Shin Arai, et al. "A case of laterally-spreading tumor in a colonic interposition after esophageal cancer treated by endoscopic submucosal dissection." Progress of Digestive Endoscopy 77, no. 2 (2010): 60–61. http://dx.doi.org/10.11641/pde.77.2_60.
Full textChen, Xiaojuan, and Haiyang Zhang. "Grey Wolf Optimization–Based Deep Echo State Network for Time Series Prediction." Frontiers in Energy Research 10 (March 11, 2022). http://dx.doi.org/10.3389/fenrg.2022.858518.
Full textJirak, Doreen, Stephan Tietz, Hassan Ali, and Stefan Wermter. "Echo State Networks and Long Short-Term Memory for Continuous Gesture Recognition: a Comparative Study." Cognitive Computation, October 7, 2020. http://dx.doi.org/10.1007/s12559-020-09754-0.
Full textLi, Songyang, Weiling Luan, Chang Wang, Ying Chen, and Zixian Zhuang. "Degradation prediction of proton exchange membrane fuel cell based on Bi-LSTM-GRU and ESN fusion prognostic framework." International Journal of Hydrogen Energy, August 2022. http://dx.doi.org/10.1016/j.ijhydene.2022.07.230.
Full textKłosowski, Grzegorz, Tomasz Rymarczyk, Konrad Niderla, Monika Kulisz, Łukasz Skowron, and Manuchehr Soleimani. "Using an LSTM network to monitor industrial reactors using electrical capacitance and impedance tomography – a hybrid approach." Eksploatacja i Niezawodność – Maintenance and Reliability 25, no. 1 (January 27, 2023). http://dx.doi.org/10.17531/ein.2023.1.11.
Full textDongwei, Gu, Nie Ruihua, Han Wenbo, Chen Guang, and Jia Ligang. "Research on preventive maintenance strategy of Coating Machine based on dynamic failure rate." Eksploatacja i Niezawodność – Maintenance and Reliability, February 1, 2023. http://dx.doi.org/10.17531/ein.2023.1.20.
Full textHeydari, Azim, Meysam Majidi Nezhad, Davide Astiaso Garcia, Farshid Keynia, and Livio De Santoli. "Air pollution forecasting application based on deep learning model and optimization algorithm." Clean Technologies and Environmental Policy, April 14, 2021. http://dx.doi.org/10.1007/s10098-021-02080-5.
Full textBİLGİLİ, Mehmet, Şaban ÜNAL, Aliihsan ŞEKERTEKİN, and Cahit GÜRLEK. "Machine Learning Approaches for One-Day Ahead Soil Temperature Forecasting." Tarım Bilimleri Dergisi, January 31, 2023, 221–38. http://dx.doi.org/10.15832/ankutbd.997567.
Full textLu, Quanying, Shaolong Sun, Hongbo Duan, and Shouyang Wang. "Analysis and forecasting of crude oil price based on the variable selection-LSTM integrated model." Energy Informatics 4, S2 (September 2021). http://dx.doi.org/10.1186/s42162-021-00166-4.
Full textLiu, Yang, Shuaibing Du, and Lihu Wang. "Flood forecasting and uncertainty analysis based on the combination of improved adaptive noise learning model and density estimation." Water Supply, November 22, 2022. http://dx.doi.org/10.2166/ws.2022.403.
Full textDeo, Ravinesh C., Richard H. Grant, Ann Webb, Sujan Ghimire, Damien P. Igoe, Nathan J. Downs, Mohanad S. Al-Musaylh, Alfio V. Parisi, and Jeffrey Soar. "Forecasting solar photosynthetic photon flux density under cloud cover effects: novel predictive model using convolutional neural network integrated with long short-term memory network." Stochastic Environmental Research and Risk Assessment, April 6, 2022. http://dx.doi.org/10.1007/s00477-022-02188-0.
Full textMr. Abdul Khadar A, Modem Tharun Kumar, Sharath K N, Sukesh V N, and Tejaswini K N. "Intrusion Detection System Using K-Means and Edited Nearest Neighbour Algorithm." International Journal of Advanced Research in Science, Communication and Technology, June 23, 2022, 451–58. http://dx.doi.org/10.48175/ijarsct-5052.
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