Статті в журналах з теми "Deep parameter optimisation"
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Bhattacharjee, Rohan, Debjyoti Ghosh, and Abhirup Mazumder. "A REVIEW ON HYPER-PARAMETER OPTIMISATION BY DEEP LEARNING EXPERIMENTS." Journal of Mathematical Sciences & Computational Mathematics 2, no. 4 (July 5, 2021): 532–41. http://dx.doi.org/10.15864/jmscm.2407.
Повний текст джерелаTourki, Z., and K. Sai. "Design and loading parameter optimisation in deep drawing process." International Journal of Vehicle Design 39, no. 1/2 (2005): 25. http://dx.doi.org/10.1504/ijvd.2005.007216.
Повний текст джерелаAbebe, H., V. Tyree, H. Morris, and P. T. Vernier. "SPICE BSIM3 Model Parameter Extraction and Optimisation: Practical Considerations." International Journal of Electrical Engineering & Education 44, no. 3 (July 2007): 249–62. http://dx.doi.org/10.7227/ijeee.44.3.5.
Повний текст джерелаMihail, Laurentiu A. "ROBUST ENGINEERING CASE STUDY FOR SIMULTANEOUS PARAMETER OPTIMIZATION OF A DEEP DRILLING PROCESS." International Journal "Advanced Quality" 45, no. 1 (June 19, 2017): 27. http://dx.doi.org/10.25137/ijaq.n1.v45.y2017.p27-34.
Повний текст джерелаTreloar, Neythen J., Nathan Braniff, Brian Ingalls, and Chris P. Barnes. "Deep reinforcement learning for optimal experimental design in biology." PLOS Computational Biology 18, no. 11 (November 21, 2022): e1010695. http://dx.doi.org/10.1371/journal.pcbi.1010695.
Повний текст джерелаDamavandi, Esmaeil, Amin Kolahdooz, Yousef Shokoohi, Seyyed Ali Latifi Rostami, and Sayed Mohamadbagher Tabatabaei. "Multi-objective parameter optimisation to improve machining performance on deep drilling process." International Journal of Machining and Machinability of Materials 23, no. 5/6 (2021): 500. http://dx.doi.org/10.1504/ijmmm.2021.121196.
Повний текст джерелаBrodzicki, Andrzej, Michał Piekarski, and Joanna Jaworek-Korjakowska. "The Whale Optimization Algorithm Approach for Deep Neural Networks." Sensors 21, no. 23 (November 30, 2021): 8003. http://dx.doi.org/10.3390/s21238003.
Повний текст джерелаGuzzi, Francesco, George Kourousias, Alessandra Gianoncelli, Fulvio Billè, and Sergio Carrato. "A Parameter Refinement Method for Ptychography Based on Deep Learning Concepts." Condensed Matter 6, no. 4 (October 14, 2021): 36. http://dx.doi.org/10.3390/condmat6040036.
Повний текст джерелаXiong, Fansheng, Heng Yong, Hua Chen, Han Wang, and Weidong Shen. "Biot's equations-based reservoir parameter inversion using deep neural networks." Journal of Geophysics and Engineering 18, no. 6 (December 2021): 862–74. http://dx.doi.org/10.1093/jge/gxab057.
Повний текст джерелаRolek, Jaroslaw, and Grzegorz Utrata. "Optimisation of the FE Model Based on the No-Load Test Measurement for Estimating Electromagnetic Parameters of an Induction Motor Equivalent Circuit Including the Rotor Deep-Bar Effect." Energies 14, no. 22 (November 12, 2021): 7562. http://dx.doi.org/10.3390/en14227562.
Повний текст джерелаKriest, Iris, Paul Kähler, Wolfgang Koeve, Karin Kvale, Volkmar Sauerland, and Andreas Oschlies. "One size fits all? Calibrating an ocean biogeochemistry model for different circulations." Biogeosciences 17, no. 12 (June 18, 2020): 3057–82. http://dx.doi.org/10.5194/bg-17-3057-2020.
Повний текст джерелаMotz, C., T. Paireder, and M. Huemer. "Deep unfolding based hyper‐parameter optimisation for self‐interference cancellation in LTE‐A/5G‐transceivers." Electronics Letters 57, no. 18 (May 29, 2021): 711–13. http://dx.doi.org/10.1049/ell2.12230.
Повний текст джерелаNi, Ni, and Shaoshao Xu. "Model optimization strategies based on deep neural networks Learning and application of pruning optimization algorithms." Journal of Physics: Conference Series 2303, no. 1 (July 1, 2022): 012033. http://dx.doi.org/10.1088/1742-6596/2303/1/012033.
Повний текст джерелаFei, Zhenyu, Zengxi Pan, Dominic Cuiuri, Huijun Li, Bintao Wu, Donghong Ding, and Lihong Su. "Effect of Heat Input on Weld Formation and Tensile Properties in Keyhole Mode TIG Welding Process." Metals 9, no. 12 (December 7, 2019): 1327. http://dx.doi.org/10.3390/met9121327.
Повний текст джерелаLedent, Antoine, Waleed Mustafa, Yunwen Lei, and Marius Kloft. "Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 9 (May 18, 2021): 8279–87. http://dx.doi.org/10.1609/aaai.v35i9.17007.
Повний текст джерелаKrauße, T., and J. Cullmann. "Towards a more representative parametrisation of hydrologic models via synthesizing the strengths of Particle Swarm Optimisation and Robust Parameter Estimation." Hydrology and Earth System Sciences 16, no. 2 (February 27, 2012): 603–29. http://dx.doi.org/10.5194/hess-16-603-2012.
Повний текст джерелаLin, Wen-Hui, Ping Wang, Kuo-Ming Chao, Hsiao-Chung Lin, Zong-Yu Yang, and Yu-Huang Lai. "Deep-Learning Model Selection and Parameter Estimation from a Wind Power Farm in Taiwan." Applied Sciences 12, no. 14 (July 13, 2022): 7067. http://dx.doi.org/10.3390/app12147067.
Повний текст джерелаKrauße, T., and J. Cullmann. "Towards a more representative parametrisation of hydrological models via synthesizing the strengths of particle swarm optimisation and robust parameter estimation." Hydrology and Earth System Sciences Discussions 8, no. 2 (March 7, 2011): 2373–422. http://dx.doi.org/10.5194/hessd-8-2373-2011.
Повний текст джерелаvan der Kamp, L., D. M. van Dam, M. A. Kenworthy, E. E. Mamajek, and G. Pojmański. "K2 discovery of a circumsecondary disk transiting EPIC 220208795." Astronomy & Astrophysics 658 (January 28, 2022): A38. http://dx.doi.org/10.1051/0004-6361/202142063.
Повний текст джерелаSun, Hongming, Wei Guo, Yanjun Lan, Zhenzhuo Wei, Sen Gao, Yu Sun, and Yifan Fu. "Black-Box Modelling and Prediction of Deep-Sea Landing Vehicles Based on Optimised Support Vector Regression." Journal of Marine Science and Engineering 10, no. 5 (April 24, 2022): 575. http://dx.doi.org/10.3390/jmse10050575.
Повний текст джерелаSun, Hongming, Wei Guo, Yanjun Lan, Zhenzhuo Wei, Sen Gao, Yu Sun, and Yifan Fu. "Black-Box Modelling and Prediction of Deep-Sea Landing Vehicles Based on Optimised Support Vector Regression." Journal of Marine Science and Engineering 10, no. 5 (April 24, 2022): 575. http://dx.doi.org/10.3390/jmse10050575.
Повний текст джерелаBarakat, Chadi, Marcel Aach, Andreas Schuppert, Sigurður Brynjólfsson, Sebastian Fritsch, and Morris Riedel. "Analysis of Chest X-ray for COVID-19 Diagnosis as a Use Case for an HPC-Enabled Data Analysis and Machine Learning Platform for Medical Diagnosis Support." Diagnostics 13, no. 3 (January 20, 2023): 391. http://dx.doi.org/10.3390/diagnostics13030391.
Повний текст джерелаAbduh, Setya Budi Muhammad, Sze Ying Leong, Chun Zhao, Samantha Baldwin, David J. Burritt, Dominic Agyei, and Indrawati Oey. "Kinetics of Colour Development during Frying of Potato Pre-Treated with Pulsed Electric Fields and Blanching: Effect of Cultivar." Foods 10, no. 10 (September 28, 2021): 2307. http://dx.doi.org/10.3390/foods10102307.
Повний текст джерелаBellotti, Renato, Romana Boiger, and Andreas Adelmann. "Fast, Efficient and Flexible Particle Accelerator Optimisation Using Densely Connected and Invertible Neural Networks." Information 12, no. 9 (August 28, 2021): 351. http://dx.doi.org/10.3390/info12090351.
Повний текст джерелаBrotchie, James, Wei Shao, Wenchao Li, and Allison Kealy. "Leveraging Self-Attention Mechanism for Attitude Estimation in Smartphones." Sensors 22, no. 22 (November 21, 2022): 9011. http://dx.doi.org/10.3390/s22229011.
Повний текст джерелаDegueldre, Claude. "Zirconia Inert Matrix for Plutonium Utilisation and Minor Actinides Disposition in Thermal Reactors." Advances in Science and Technology 45 (October 2006): 1907–14. http://dx.doi.org/10.4028/www.scientific.net/ast.45.1907.
Повний текст джерелаFielding, Ben, and Li Zhang. "Evolving Deep DenseBlock Architecture Ensembles for Image Classification." Electronics 9, no. 11 (November 9, 2020): 1880. http://dx.doi.org/10.3390/electronics9111880.
Повний текст джерелаSoon, Foo Chong, Hui Ying Khaw, Joon Huang Chuah, and Jeevan Kanesan. "Hyper-parameters optimisation of deep CNN architecture for vehicle logo recognition." IET Intelligent Transport Systems 12, no. 8 (October 1, 2018): 939–46. http://dx.doi.org/10.1049/iet-its.2018.5127.
Повний текст джерелаBarber, R. L., M. K. Ghantasala, R. Divan, K. D. Vora, E. C. Harvey, and D. C. Mancini. "Optimisation of SU-8 processing parameters for deep X-ray lithography." Microsystem Technologies 11, no. 4-5 (April 2005): 303–10. http://dx.doi.org/10.1007/s00542-004-0442-z.
Повний текст джерелаPfrommer, Julius, Clemens Zimmerling, Jinzhao Liu, Luise Kärger, Frank Henning, and Jürgen Beyerer. "Optimisation of manufacturing process parameters using deep neural networks as surrogate models." Procedia CIRP 72 (2018): 426–31. http://dx.doi.org/10.1016/j.procir.2018.03.046.
Повний текст джерелаKarabağ, Cefa, Jo Verhoeven, Naomi Rachel Miller, and Constantino Carlos Reyes-Aldasoro. "Texture Segmentation: An Objective Comparison between Five Traditional Algorithms and a Deep-Learning U-Net Architecture." Applied Sciences 9, no. 18 (September 17, 2019): 3900. http://dx.doi.org/10.3390/app9183900.
Повний текст джерелаPepelnjak, Tomaž, Tomaž Bren, Bojan Železnik, and Mitja Kuštra. "Computer-Assisted Design of Sheet Metal Component Formed from Stainless Steel." Materials and Geoenvironment 65, no. 2 (September 1, 2018): 71–78. http://dx.doi.org/10.2478/rmzmag-2018-0012.
Повний текст джерелаWadas, Maciej, and Jakub Smołka. "Performance analysis of the TensorFlow library with different optimisation algorithms." Journal of Computer Sciences Institute 21 (December 30, 2021): 330–35. http://dx.doi.org/10.35784/jcsi.2738.
Повний текст джерелаWu, Pengcheng, Yan He, Yufeng Li, Jingsen He, Xueqian Liu, and Yulin Wang. "Multi-objective optimisation of machining process parameters using deep learning-based data-driven genetic algorithm and TOPSIS." Journal of Manufacturing Systems 64 (July 2022): 40–52. http://dx.doi.org/10.1016/j.jmsy.2022.05.016.
Повний текст джерелаLu, Fengyi, Guanghui Zhou, Chao Zhang, Yang Liu, Fengtian Chang, and Zhongdong Xiao. "Energy-efficient multi-pass cutting parameters optimisation for aviation parts in flank milling with deep reinforcement learning." Robotics and Computer-Integrated Manufacturing 81 (June 2023): 102488. http://dx.doi.org/10.1016/j.rcim.2022.102488.
Повний текст джерелаJalil Jassim Ghrabat, Mudhafar, Zaid Alaa Hussien, Mustafa S. Khalefa, Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi, Mustafa A. Al Sibahee, and Enas Wahab Abood. "Fully automated model on breast cancer classification using deep learning classifiers." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 1 (October 1, 2022): 183. http://dx.doi.org/10.11591/ijeecs.v28.i1.pp183-191.
Повний текст джерелаDelport, D. J., J. H. Potgieter, W. G. Augustyn, and J. H. Prior. "Die ontwikkeling van ’n korrosiebestande langpadlengte-infrarooisel Deel I: Konstruksieparameters en -oorwegings." Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie 22, no. 2/3 (September 26, 2003): 89–92. http://dx.doi.org/10.4102/satnt.v22i2/3.216.
Повний текст джерелаMolina García, Víctor, Sruthy Sasi, Dmitry S. Efremenko, and Diego Loyola. "Improvement of EPIC/DSCOVR Image Registration by Means of Automatic Coastline Detection." Remote Sensing 11, no. 15 (July 25, 2019): 1747. http://dx.doi.org/10.3390/rs11151747.
Повний текст джерелаLong, David, and Stephen O'Shaughnessy. "Shallow Deep Learning using Space-filling Curves for Malware Classification." International Conference on Cyber Warfare and Security 17, no. 1 (March 2, 2022): 145–54. http://dx.doi.org/10.34190/iccws.17.1.13.
Повний текст джерелаZeybek, Sultan, Duc Truong Pham, Ebubekir Koç, and Aydın Seçer. "An Improved Bees Algorithm for Training Deep Recurrent Networks for Sentiment Classification." Symmetry 13, no. 8 (July 26, 2021): 1347. http://dx.doi.org/10.3390/sym13081347.
Повний текст джерелаSierant, Z. "Optimisation of the Deoxidation Degree and Modification on the Cast Steel Properties Improvement at Low Temperature." Archives of Metallurgy and Materials 58, no. 3 (September 1, 2013): 763–67. http://dx.doi.org/10.2478/amm-2013-0068.
Повний текст джерелаShruthi, G., Monica R. Mundada, B. J. Sowmya, and S. Supreeth. "Mayfly Taylor Optimisation-Based Scheduling Algorithm with Deep Reinforcement Learning for Dynamic Scheduling in Fog-Cloud Computing." Applied Computational Intelligence and Soft Computing 2022 (August 28, 2022): 1–17. http://dx.doi.org/10.1155/2022/2131699.
Повний текст джерелаGani, Adel, William Ion, and Erfu Yang. "Optimisation of cutting parameters and surface deformation during thin steel sheets plasma processing using Taguchi approach." Advances in Mechanical Engineering 13, no. 7 (July 2021): 168781402110304. http://dx.doi.org/10.1177/16878140211030401.
Повний текст джерелаKai, Priscila Marques, Bruna Mendes de Oliveira, and Ronaldo Martins da Costa. "Deep Learning-Based Method for Classification of Sugarcane Varieties." Agronomy 12, no. 11 (November 2, 2022): 2722. http://dx.doi.org/10.3390/agronomy12112722.
Повний текст джерелаWu, Jie, Decao Yin, Halvor Lie, Signe Riemer-Sørensen, Svein Sævik, and Michael Triantafyllou. "Improved VIV Response Prediction Using Adaptive Parameters and Data Clustering." Journal of Marine Science and Engineering 8, no. 2 (February 17, 2020): 127. http://dx.doi.org/10.3390/jmse8020127.
Повний текст джерелаLi, Le. "Dance Art Scene Classification Based on Convolutional Neural Networks." Scientific Programming 2022 (July 8, 2022): 1–11. http://dx.doi.org/10.1155/2022/6355959.
Повний текст джерелаRomanenko, Pavel S., Ilya G. Alekhin, Kanat B. Ashimov, and Sarsenbay A. Gubashev. "Application of geomechanics in the construction of horizontal wells at the fields of Embamunaigas JSC." Kazakhstan journal for oil & gas industry 4, no. 2 (July 20, 2022): 35–46. http://dx.doi.org/10.54859/kjogi108196.
Повний текст джерелаGarcia, Jean Rodrigo, Paulo José Rocha de Albuquerque, and Rodrigo Álvares de Araújo Melo. "Experimental and numerical analysis of foundation pilings partially embedded in rock." Rem: Revista Escola de Minas 66, no. 4 (December 2013): 439–46. http://dx.doi.org/10.1590/s0370-44672013000400006.
Повний текст джерелаHaider, Adnan, Musleh Ud Din Musleh Ud Din, and Ejaz Ghani. "Monetary Policy, Informality and Business Cycle Fluctuations in a Developing Economy Vulnerable to External Shocks." Pakistan Development Review 51, no. 4II (December 1, 2012): 609–81. http://dx.doi.org/10.30541/v51i4iipp.609-681.
Повний текст джерелаZhang, Tong, Suryakanta Biswal, and Ying Wang. "SHMnet: Condition assessment of bolted connection with beyond human-level performance." Structural Health Monitoring 19, no. 4 (October 17, 2019): 1188–201. http://dx.doi.org/10.1177/1475921719881237.
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