Статті в журналах з теми "Robust Long-Short Term Memory (RoLSTM)"
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Javid, Gelareh, Djaffar Ould Abdeslam, and Michel Basset. "Adaptive Online State of Charge Estimation of EVs Lithium-Ion Batteries with Deep Recurrent Neural Networks." Energies 14, no. 3 (February 1, 2021): 758. http://dx.doi.org/10.3390/en14030758.
Fister, Dušan, Matjaž Perc, and Timotej Jagrič. "Two robust long short-term memory frameworks for trading stocks." Applied Intelligence 51, no. 10 (February 27, 2021): 7177–95. http://dx.doi.org/10.1007/s10489-021-02249-x.
Liu, Yong, Xin Hao, Biling Zhang, and Yuyan Zhang. "Simplified long short-term memory model for robust and fast prediction." Pattern Recognition Letters 136 (August 2020): 81–86. http://dx.doi.org/10.1016/j.patrec.2020.05.033.
Yang, Haimin, Zhisong Pan, and Qing Tao. "Robust and Adaptive Online Time Series Prediction with Long Short-Term Memory." Computational Intelligence and Neuroscience 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/9478952.
Son, Namrye, Seunghak Yang, and Jeongseung Na. "Hybrid Forecasting Model for Short-Term Wind Power Prediction Using Modified Long Short-Term Memory." Energies 12, no. 20 (October 15, 2019): 3901. http://dx.doi.org/10.3390/en12203901.
Ngoc-Lan Huynh, Anh, Ravinesh C. Deo, Mumtaz Ali, Shahab Abdulla, and Nawin Raj. "Novel short-term solar radiation hybrid model: Long short-term memory network integrated with robust local mean decomposition." Applied Energy 298 (September 2021): 117193. http://dx.doi.org/10.1016/j.apenergy.2021.117193.
Darling, Stephen, Richard J. Allen, and Jelena Havelka. "Visuospatial Bootstrapping." Current Directions in Psychological Science 26, no. 1 (February 2017): 3–9. http://dx.doi.org/10.1177/0963721416665342.
Avci, Gunes, Steven P. Woods, Marizela Verduzco, David P. Sheppard, James F. Sumowski, Nancy D. Chiaravalloti, and John DeLuca. "Effect of Retrieval Practice on Short-Term and Long-Term Retention in HIV+ Individuals." Journal of the International Neuropsychological Society 23, no. 3 (January 9, 2017): 214–22. http://dx.doi.org/10.1017/s1355617716001089.
Bukhari, Syed Basit Ali, Khawaja Khalid Mehmood, Abdul Wadood, and Herie Park. "Intelligent Islanding Detection of Microgrids Using Long Short-Term Memory Networks." Energies 14, no. 18 (September 13, 2021): 5762. http://dx.doi.org/10.3390/en14185762.
Baddar, Wissam J., and Yong Man Ro. "Encoding features robust to unseen modes of variation with attentive long short-term memory." Pattern Recognition 100 (April 2020): 107159. http://dx.doi.org/10.1016/j.patcog.2019.107159.
Lee, Byung-Jun, and Kee-Eung Kim. "Dialog History Construction with Long-Short Term Memory for Robust Generative Dialog State Tracking." Dialogue & Discourse 7, no. 3 (April 15, 2016): 47–64. http://dx.doi.org/10.5087/dad.2016.302.
Zhou, Zhiyu, Ruoxi Zhang, and Zefei Zhu. "Robust Kalman filtering with long short-term memory for image-based visual servo control." Multimedia Tools and Applications 78, no. 18 (June 10, 2019): 26341–71. http://dx.doi.org/10.1007/s11042-019-07773-0.
Lees, Thomas, Steven Reece, Frederik Kratzert, Daniel Klotz, Martin Gauch, Jens De Bruijn, Reetik Kumar Sahu, Peter Greve, Louise Slater, and Simon J. Dadson. "Hydrological concept formation inside long short-term memory (LSTM) networks." Hydrology and Earth System Sciences 26, no. 12 (June 20, 2022): 3079–101. http://dx.doi.org/10.5194/hess-26-3079-2022.
Haynes, James T., Emily Frith, Eveleen Sng, and Paul D. Loprinzi. "Experimental Effects of Acute Exercise on Episodic Memory Function: Considerations for the Timing of Exercise." Psychological Reports 122, no. 5 (July 5, 2018): 1744–54. http://dx.doi.org/10.1177/0033294118786688.
Deng, Lu. "Short-Term Noise and the Robustness of Two Log-Periodogram Estimators in Long Memory Series." Applied Mechanics and Materials 313-314 (March 2013): 1235–38. http://dx.doi.org/10.4028/www.scientific.net/amm.313-314.1235.
Tan, Truong-Ngoc, Ali Khenchaf, Fabrice Comblet, Pierre Franck, Jean-Marc Champeyroux, and Olivier Reichert. "Robust-Extended Kalman Filter and Long Short-Term Memory Combination to Enhance the Quality of Single Point Positioning." Applied Sciences 10, no. 12 (June 24, 2020): 4335. http://dx.doi.org/10.3390/app10124335.
Chherawala, Youssouf, Partha Pratim Roy, and Mohamed Cheriet. "Combination of context-dependent bidirectional long short-term memory classifiers for robust offline handwriting recognition." Pattern Recognition Letters 90 (April 2017): 58–64. http://dx.doi.org/10.1016/j.patrec.2017.03.012.
Wöllmer, Martin, Felix Weninger, Jürgen Geiger, Björn Schuller, and Gerhard Rigoll. "Noise robust ASR in reverberated multisource environments applying convolutive NMF and Long Short-Term Memory." Computer Speech & Language 27, no. 3 (May 2013): 780–97. http://dx.doi.org/10.1016/j.csl.2012.05.002.
Jadid Abdulkadir, Said, Hitham Alhussian, Muhammad Nazmi, and Asim A Elsheikh. "Long Short Term Memory Recurrent Network for Standard and Poor’s 500 Index Modelling." International Journal of Engineering & Technology 7, no. 4.15 (October 7, 2018): 25. http://dx.doi.org/10.14419/ijet.v7i4.15.21365.
Bing, Qichun, Fuxin Shen, Xiufeng Chen, Weijian Zhang, Yanran Hu, and Dayi Qu. "A Hybrid Short-Term Traffic Flow Multistep Prediction Method Based on Variational Mode Decomposition and Long Short-Term Memory Model." Discrete Dynamics in Nature and Society 2021 (October 12, 2021): 1–13. http://dx.doi.org/10.1155/2021/4097149.
Valada, Abhinav, and Wolfram Burgard. "Deep spatiotemporal models for robust proprioceptive terrain classification." International Journal of Robotics Research 36, no. 13-14 (August 31, 2017): 1521–39. http://dx.doi.org/10.1177/0278364917727062.
Wu, Jianqing, Qiang Wu, Jun Shen, and Chen Cai. "Towards Attention-Based Convolutional Long Short-Term Memory for Travel Time Prediction of Bus Journeys." Sensors 20, no. 12 (June 12, 2020): 3354. http://dx.doi.org/10.3390/s20123354.
Deva Hema, D., J. Tharun, G. Arun Dev, and N. Sateesh. "A Robust False Spam Review Detection Using Deep Long Short-Term Memory (LSTM) Based Recurrent Neural Network." Journal of Computational and Theoretical Nanoscience 17, no. 8 (August 1, 2020): 3421–26. http://dx.doi.org/10.1166/jctn.2020.9198.
Hattinger, E., S. Scheiblhofer, E. Roesler, T. Thalhamer, J. Thalhamer, and R. Weiss. "Prophylactic mRNA Vaccination against Allergy Confers Long-Term Memory Responses and Persistent Protection in Mice." Journal of Immunology Research 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/797421.
Shen, Jing, Chao Tao, Ji Qi, and Hao Wang. "Semi-Supervised Convolutional Long Short-Term Memory Neural Networks for Time Series Land Cover Classification." Remote Sensing 13, no. 17 (September 3, 2021): 3504. http://dx.doi.org/10.3390/rs13173504.
Loprinzi, Paul D., Sierra Day, Rebecca Hendry, Sara Hoffman, Alexis Love, Sarah Marable, Elizabeth McKee, Sydney Stec, Hanna Watson, and Brittney Gilliland. "The effects of acute exercise on short- and long-term memory: Considerations for the timing of exercise and phases of memory." Europe’s Journal of Psychology 17, no. 1 (February 26, 2021): 85–103. http://dx.doi.org/10.5964/ejop.2955.
Betsch, Tilmann, Nancy Quittenbaum, and Manfred Lüders. "On the Robustness of the Quizzing Effect under Real Teaching Conditions." Zeitschrift für Pädagogische Psychologie 29, no. 2 (May 18, 2015): 109–14. http://dx.doi.org/10.1024/1010-0652/a000149.
Lee, Jungshin, and Hyochoong Bang. "A Robust Terrain Aided Navigation Using the Rao-Blackwellized Particle Filter Trained by Long Short-Term Memory Networks." Sensors 18, no. 9 (August 31, 2018): 2886. http://dx.doi.org/10.3390/s18092886.
Jing, S., and T. Chao. "TIME SERIES LAND COVER CLASSIFICATION BASED ON SEMI-SUPERVISED CONVOLUTIONAL LONG SHORT-TERM MEMORY NEURAL NETWORKS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 14, 2020): 1521–28. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-1521-2020.
Aldhyani, Theyazn H. H., and Hasan Alkahtani. "A Bidirectional Long Short-Term Memory Model Algorithm for Predicting COVID-19 in Gulf Countries." Life 11, no. 11 (October 21, 2021): 1118. http://dx.doi.org/10.3390/life11111118.
Asch, Anna, Ethan J. Brady, Hugo Gallardo, John Hood, Bryan Chu, and Mohammad Farazmand. "Model-assisted deep learning of rare extreme events from partial observations." Chaos: An Interdisciplinary Journal of Nonlinear Science 32, no. 4 (April 2022): 043112. http://dx.doi.org/10.1063/5.0077646.
Zhang, Xinxin, Ying Zhang, Xiaoyan Lu, Lu Bai, Liangfu Chen, Jinhua Tao, Zhibao Wang, and Lili Zhu. "Estimation of Lower-Stratosphere-to-Troposphere Ozone Profile Using Long Short-Term Memory (LSTM)." Remote Sensing 13, no. 7 (April 2, 2021): 1374. http://dx.doi.org/10.3390/rs13071374.
Kim, Byoungjun, and Joonwhoan Lee. "A Bayesian Network-Based Information Fusion Combined with DNNs for Robust Video Fire Detection." Applied Sciences 11, no. 16 (August 19, 2021): 7624. http://dx.doi.org/10.3390/app11167624.
Dhabhar, Firdaus S., and Kavitha Viswanathan. "Short-term stress experienced at time of immunization induces a long-lasting increase in immunologic memory." American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 289, no. 3 (September 2005): R738—R744. http://dx.doi.org/10.1152/ajpregu.00145.2005.
McBride, Dawn M., Jennifer H. Coane, Shuofeng Xu, Yi Feng, and Zhichun Yu. "Short-term false memories vary as a function of list type." Quarterly Journal of Experimental Psychology 72, no. 12 (June 29, 2019): 2726–41. http://dx.doi.org/10.1177/1747021819859880.
Kong, Longteng, Mengxiao Zhu, Nan Ran, Qingjie Liu, and Rui He. "Online Multiple Athlete Tracking with Pose-Based Long-Term Temporal Dependencies." Sensors 21, no. 1 (December 30, 2020): 197. http://dx.doi.org/10.3390/s21010197.
Shao, Xiaorui, Chang-Soo Kim, and Palash Sontakke. "Accurate Deep Model for Electricity Consumption Forecasting Using Multi-channel and Multi-Scale Feature Fusion CNN–LSTM." Energies 13, no. 8 (April 12, 2020): 1881. http://dx.doi.org/10.3390/en13081881.
Jamil, Ramish, Imran Ashraf, Furqan Rustam, Eysha Saad, Arif Mehmood, and Gyu Sang Choi. "Detecting sarcasm in multi-domain datasets using convolutional neural networks and long short term memory network model." PeerJ Computer Science 7 (August 25, 2021): e645. http://dx.doi.org/10.7717/peerj-cs.645.
Ma, Liang, Meng Liu, Na Wang, Lu Wang, Yang Yang, and Hongjun Wang. "Room-Level Fall Detection Based on Ultra-Wideband (UWB) Monostatic Radar and Convolutional Long Short-Term Memory (LSTM)." Sensors 20, no. 4 (February 18, 2020): 1105. http://dx.doi.org/10.3390/s20041105.
Grobelny, Piotr, and Adam Narbudowicz. "MM-Wave Radar-Based Recognition of Multiple Hand Gestures Using Long Short-Term Memory (LSTM) Neural Network." Electronics 11, no. 5 (March 3, 2022): 787. http://dx.doi.org/10.3390/electronics11050787.
Colettis, Natalia Claudia, Martín Habif, María Victoria Oberholzer, Federico Filippin, and Diana Alicia Jerusalinsky. "Differences in learning and memory between middle-aged female and male rats." Learning & Memory 29, no. 5 (April 15, 2022): 120–25. http://dx.doi.org/10.1101/lm.053578.122.
Elliott, Terry. "Dynamic Integrative Synaptic Plasticity Explains the Spacing Effect in the Transition from Short- to Long-Term Memory." Neural Computation 31, no. 11 (November 2019): 2212–51. http://dx.doi.org/10.1162/neco_a_01227.
Qiu, Yibin, Qi Li, Yuru Pan, Lanjia Huang, Cai Sun, Hanqing Yang, Jiawei Liu, and Weirong Chen. "Modeling the Adaptive Uncertainty Sets of Robust Optimization Based on Long Short-Term Memory Network and Modified Fuzzy Information Granulation." IEEE Access 8 (2020): 56072–80. http://dx.doi.org/10.1109/access.2020.2964652.
Mwaura, Anselim M., and Yong-Kuo Liu. "Prediction of the Loss of Feed Water Fault Signatures Using Machine Learning Techniques." Science and Technology of Nuclear Installations 2021 (August 9, 2021): 1–13. http://dx.doi.org/10.1155/2021/5511735.
Nguyen, Lam Van, Hoese Michel Tornyeviadzi, Dieu Tien Bui, and Razak Seidu. "Predicting Discharges in Sewer Pipes Using an Integrated Long Short-Term Memory and Entropy A-TOPSIS Modeling Framework." Water 14, no. 3 (January 19, 2022): 300. http://dx.doi.org/10.3390/w14030300.
Huang, Lin, Jianjun Yan, Shiyu Cai, Rui Guo, Haixia Yan, and Yiqin Wang. "Automated Segmentation of the Systolic and Diastolic Phases in Wrist Pulse Signal Using Long Short-Term Memory Network." BioMed Research International 2022 (August 21, 2022): 1–9. http://dx.doi.org/10.1155/2022/2766321.
Khadka, Shauharda, Jen Jen Chung, and Kagan Tumer. "Neuroevolution of a Modular Memory-Augmented Neural Network for Deep Memory Problems." Evolutionary Computation 27, no. 4 (December 2019): 639–64. http://dx.doi.org/10.1162/evco_a_00239.
Huynh, Anh Ngoc-Lan, Ravinesh C. Deo, Duc-Anh An-Vo, Mumtaz Ali, Nawin Raj, and Shahab Abdulla. "Near Real-Time Global Solar Radiation Forecasting at Multiple Time-Step Horizons Using the Long Short-Term Memory Network." Energies 13, no. 14 (July 8, 2020): 3517. http://dx.doi.org/10.3390/en13143517.
Ramaraj, P. "A Neural Network in Convolution with Constant Error Carousel Based Long Short Term Memory for Better Face Recognition." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (April 11, 2021): 2042–52. http://dx.doi.org/10.17762/turcomat.v12i2.1808.
Tran, Trung Duc, Vinh Ngoc Tran, and Jongho Kim. "Improving the Accuracy of Dam Inflow Predictions Using a Long Short-Term Memory Network Coupled with Wavelet Transform and Predictor Selection." Mathematics 9, no. 5 (March 5, 2021): 551. http://dx.doi.org/10.3390/math9050551.