Artículos de revistas sobre el tema "CRITICAL MACHINE ENERGY"
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Chen, Chi, Yunxing Zuo, Weike Ye, Xiangguo Li, Zhi Deng y Shyue Ping Ong. "A Critical Review of Machine Learning of Energy Materials". Advanced Energy Materials 10, n.º 8 (29 de enero de 2020): 1903242. http://dx.doi.org/10.1002/aenm.201903242.
Texto completoOhtani, Hisashi. "Development of Energy-Saving Machine Tool". International Journal of Automation Technology 11, n.º 4 (29 de junio de 2017): 608–14. http://dx.doi.org/10.20965/ijat.2017.p0608.
Texto completoFujishima, Makoto, Hiroshi Shimanoe y Masahiko Mori. "Reducing the Energy Consumption of Machine Tools". International Journal of Automation Technology 11, n.º 4 (29 de junio de 2017): 601–7. http://dx.doi.org/10.20965/ijat.2017.p0601.
Texto completoYuan y Sun. "Server Consolidation Based on Culture Multiple-Ant-Colony Algorithm in Cloud Computing". Sensors 19, n.º 12 (17 de junio de 2019): 2724. http://dx.doi.org/10.3390/s19122724.
Texto completoAlghamdi, Noof Awad, Israa Mohammed Budayr, Samar Mohammed Aljehani y Majed Mohammed Aborokbah. "A Scheme for Predicting Energy Consumption in Smart Cities Using Machine Learning". Webology 19, n.º 1 (20 de enero de 2022): 3481–99. http://dx.doi.org/10.14704/web/v19i1/web19230.
Texto completoKandil, Abdelrahman, Samir Khaled y Taher Elfakharany. "Prediction of the equivalent circulation density using machine learning algorithms based on real-time data". AIMS Energy 11, n.º 3 (2023): 425–53. http://dx.doi.org/10.3934/energy.2023023.
Texto completoRASTGOUFARD, P. y R. A. SCHLUETER. "APPLICATION OF CRITICAL MACHINE ENERGY FUNCTION IN POWER SYSTEM TRANSIENT STABILITY ANALYSIS". Electric Machines & Power Systems 16, n.º 5 (enero de 1989): 343–61. http://dx.doi.org/10.1080/07313568908909392.
Texto completoVijayapakavan, P., D. S. Robinson Smart, Kurinjimalar Ramu y M. Ramachandran. "Superconducting Electromagnetic Launch Machine System for Aerospace Applications". Journal on Applied and Chemical Physics 2, n.º 1 (1 de junio de 2023): 40–47. http://dx.doi.org/10.46632/jacp/2/1/5.
Texto completoCristina Castejon, Cristina, Marıa Jesus Gomez, Juan Carlos Garcia-Prada y Eduardo Corral. "Energy Distribution Analysis Regarding the Crack Size in a Rotating Shaft". Volume 24, No 3, September 2019 24, n.º 3 (septiembre de 2019): 418–25. http://dx.doi.org/10.20855/ijav.2019.24.31190.
Texto completoTrontl, Krešimir, Dubravko Pevec y Tomislav Šmuc. "Machine Learning of the Reactor Core Loading Pattern Critical Parameters". Science and Technology of Nuclear Installations 2008 (2008): 1–6. http://dx.doi.org/10.1155/2008/695153.
Texto completoAlbdery, Mohsin Hassan y István Szabó. "A Recent Machine Learning Techniques for Failure Diagnosis of Rolling Element Bearing". Hungarian Agricultural Engineering, n.º 39 (2021): 42–53. http://dx.doi.org/10.17676/hae.2021.39.42.
Texto completoNeugebauer, Reimund, Carsten Hochmuth, Gerhard Schmidt y Martin Dix. "Energy Efficient Process Planning Based on Numerical Simulations". Advanced Materials Research 223 (abril de 2011): 212–21. http://dx.doi.org/10.4028/www.scientific.net/amr.223.212.
Texto completoVyas, Nisarg, Jonathan Farringdon, David Andre y John Ivo Stivoric. "Machine Learning and Sensor Fusion for Estimating Continuous Energy Expenditure". AI Magazine 33, n.º 2 (16 de marzo de 2012): 55. http://dx.doi.org/10.1609/aimag.v33i2.2408.
Texto completoRumaherang, Wulfilla M., J. Louhenapessy, Mesak F. Noya y Cendy S. Tupamahu. "STUDI EKSPERIMENTAL PERFORMANCE KAVITASI WATERJET PROPULSI". ALE Proceeding 4 (17 de agosto de 2021): 112–20. http://dx.doi.org/10.30598/ale.4.2021.112-120.
Texto completoDíaz, Pedro-J., Jenny-M. Carvajal y Miguel-Fernando Palencia-Muñoz. "Double torsion testing machine to determine the subcritical fracture index in rocks". CT&F - Ciencia, Tecnología y Futuro 4, n.º 3 (24 de mayo de 2011): 37–46. http://dx.doi.org/10.29047/01225383.237.
Texto completoVyas, Nisarg, Jonathan Farringdon, David Andre y John Stivoric. "Machine Learning and Sensor Fusion for Estimating Continuous Energy Expenditure". Proceedings of the AAAI Conference on Artificial Intelligence 25, n.º 2 (11 de agosto de 2011): 1613–20. http://dx.doi.org/10.1609/aaai.v25i2.18848.
Texto completoGraffeo, Federica, Silvio Vaschetto, Alessio Miotto, Fabio Carbone, Alberto Tenconi y Andrea Cavagnino. "Lumped-Parameters Thermal Network of PM Synchronous Machines for Automotive Brake-by-Wire Systems". Energies 14, n.º 18 (8 de septiembre de 2021): 5652. http://dx.doi.org/10.3390/en14185652.
Texto completoPuspita Sari, Talitha, Rafin Aqsa Izza Mahendra, Ardyono Priyadi, Vita Lystianingrum, Margo Pujiantara y Sjamsjul Anam. "Perbaikan CCT Pada Multi Machine Infinite Bus Dengan Supercapacitor Energy Storage Menggunakan Critical Trajectory". Jurnal FORTECH 1, n.º 2 (24 de agosto de 2020): 61–67. http://dx.doi.org/10.32492/fortech.v1i2.225.
Texto completoSTEIF, ALAN R. "MULTIPARTICLE SOLUTIONS IN 2+1 GRAVITY AND TIME MACHINES". International Journal of Modern Physics D 03, n.º 01 (marzo de 1994): 277–80. http://dx.doi.org/10.1142/s0218271894000459.
Texto completoPark, Hae Min, Jong Hyuk Lee y Kyung Doo Kim. "Wall temperature prediction at critical heat flux using a machine learning model". Annals of Nuclear Energy 141 (junio de 2020): 107334. http://dx.doi.org/10.1016/j.anucene.2020.107334.
Texto completoAsif, Muhammad, Hang Shen, Chunlin Zhou, Yuandong Guo, Yibo Yuan, Pu Shao, Lan Xie y Muhammad Shoaib Bhutta. "Recent Trends, Developments, and Emerging Technologies towards Sustainable Intelligent Machining: A Critical Review, Perspectives and Future Directions". Sustainability 15, n.º 10 (19 de mayo de 2023): 8298. http://dx.doi.org/10.3390/su15108298.
Texto completoWhite, G., S. Gessner, E. Adli, G. J. Cao, K. Sjobak, S. Barber, C. Schroeder et al. "Beam delivery and final focus systems for multi-TeV advanced linear colliders". Journal of Instrumentation 17, n.º 05 (1 de mayo de 2022): P05042. http://dx.doi.org/10.1088/1748-0221/17/05/p05042.
Texto completoRawat, Nishant. "Water Quality Prediction using Machine Learning". International Journal for Research in Applied Science and Engineering Technology 10, n.º 6 (30 de junio de 2022): 4173–87. http://dx.doi.org/10.22214/ijraset.2022.44658.
Texto completoSyukri, Mahdi. "Analysis of using capacitors in 3-phase induction generators to get constant voltage". Jurnal Geuthèë: Penelitian Multidisiplin 6, n.º 1 (1 de abril de 2023): 1. http://dx.doi.org/10.52626/jg.v6i1.208.
Texto completoBraun, S., P. Schraml y E. Prof Abele. "Energieverbrauchssimulation von Werkzeugmaschinen*/Process-specific energy simulation of machine tools". wt Werkstattstechnik online 106, n.º 03 (2016): 163–68. http://dx.doi.org/10.37544/1436-4980-2016-03-67.
Texto completoMeng, Fanlin, Kui Weng, Balsam Shallal, Xiangping Chen y Monjur Mourshed. "Forecasting Algorithms and Optimization Strategies for Building Energy Management & Demand Response". Proceedings 2, n.º 15 (27 de agosto de 2018): 1133. http://dx.doi.org/10.3390/proceedings2151133.
Texto completoMarcus, Aaron y Jérémie Jean. "Going green at home: The Green Machine". Information Design Journal 17, n.º 3 (31 de diciembre de 2009): 235–43. http://dx.doi.org/10.1075/idj.17.3.08mar.
Texto completoKravets, Svyatoslav, Vladimir Suponyev y Aleksej Goponov. "Determination of critical depth forces of cutting soils and energy consumption of chain scraper trench excavators". Bulletin of Kharkov National Automobile and Highway University 1, n.º 92 (4 de marzo de 2021): 192. http://dx.doi.org/10.30977/bul.2219-5548.2021.92.1.192.
Texto completoPatil, Prof Sachin Sambhaji, Mahesh Manohar Sirsat, Ajitkumar Vishwakarma Sharma, Aashish Shahi y Omkar Maruti Halgi. "Web Based Machine Learning Automated Pipeline". International Journal for Research in Applied Science and Engineering Technology 11, n.º 4 (30 de abril de 2023): 1875–78. http://dx.doi.org/10.22214/ijraset.2023.50406.
Texto completoDing, Yakui, Yongping Li, Heran Zheng, Jing Meng, Jing Lv y Guohe Huang. "Identifying critical energy-water paths and clusters within the urban agglomeration using machine learning algorithm". Energy 250 (julio de 2022): 123880. http://dx.doi.org/10.1016/j.energy.2022.123880.
Texto completoRazzak, Imran, Guandong Xu y Muhammad Khurram Khan. "Guest Editorial: Privacy-Preserving Federated Machine Learning Solutions for Enhanced Security of Critical Energy Infrastructures". IEEE Transactions on Industrial Informatics 18, n.º 5 (mayo de 2022): 3449–51. http://dx.doi.org/10.1109/tii.2021.3128962.
Texto completoPeplow, Andrew, Javad Isavand, Afshar Kasaei, Babak Afzali y Delphine Bard-Hagberg. "A Speed-Variant Balancing Method for Flexible Rotary Machines Based on Acoustic Responses". Sustainability 13, n.º 13 (28 de junio de 2021): 7237. http://dx.doi.org/10.3390/su13137237.
Texto completoJason, Sebagenzi. "Real-time Virtual Machine Energy-Efficient Allocation in Cloud Data Centers Using Interval-packing Methods". Transactions on Machine Learning and Artificial Intelligence 10, n.º 6 (2 de diciembre de 2022): 15–34. http://dx.doi.org/10.14738/tmlai.106.13419.
Texto completoPriyadi, Ardyono, Nazila Iyyaya Fariha, Talitha Puspita Sari, Vita Lystianingrum, Margo Pujiantara y Sjamsjul Anam. "Efek Penambahan SCES Pada Sistem Multimesin dengan Damping dan Kontroler Berdasarkan Metode Critical Trajectory". Jurnal FORTECH 1, n.º 2 (23 de agosto de 2020): 79–84. http://dx.doi.org/10.32492/fortech.v1i2.228.
Texto completoChen, Chun-Wei, Chun-Chang Li y Chen-Yu Lin. "Combine Clustering and Machine Learning for Enhancing the Efficiency of Energy Baseline of Chiller System". Energies 13, n.º 17 (24 de agosto de 2020): 4368. http://dx.doi.org/10.3390/en13174368.
Texto completoSalonitis, Konstantinos. "Energy efficiency assessment of grinding strategy". International Journal of Energy Sector Management 9, n.º 1 (7 de abril de 2015): 20–37. http://dx.doi.org/10.1108/ijesm-04-2013-0009.
Texto completoKishore, Somasundaram Chandra, Suguna Perumal, Raji Atchudan, Muthulakshmi Alagan, Ashok K. Sundramoorthy y Yong Rok Lee. "A Critical Review on Artificial Intelligence for Fuel Cell Diagnosis". Catalysts 12, n.º 7 (5 de julio de 2022): 743. http://dx.doi.org/10.3390/catal12070743.
Texto completoNaik, Ketaki Bhalchandra, G. Meera Gandhi y S. H. Patil. "Pareto Based Virtual Machine Selection with Load Balancing in Cloud Data Centre". Cybernetics and Information Technologies 18, n.º 3 (1 de septiembre de 2018): 23–36. http://dx.doi.org/10.2478/cait-2018-0036.
Texto completoYılmaz, Beyza y Ramazan Yıldırım. "Critical review of machine learning applications in perovskite solar research". Nano Energy 80 (febrero de 2021): 105546. http://dx.doi.org/10.1016/j.nanoen.2020.105546.
Texto completoAgarala, Ajaysekhar, Sunil S. Bhat, Arghya Mitra, Daria Zychma y Pawel Sowa. "Transient Stability Analysis of a Multi-Machine Power System Integrated with Renewables". Energies 15, n.º 13 (1 de julio de 2022): 4824. http://dx.doi.org/10.3390/en15134824.
Texto completoJunaid, Muhammad, Adnan Sohail, Fadi Al Turjman y Rashid Ali. "Agile Support Vector Machine for Energy-efficient Resource Allocation in IoT-oriented Cloud using PSO". ACM Transactions on Internet Technology 22, n.º 1 (28 de febrero de 2022): 1–35. http://dx.doi.org/10.1145/3433541.
Texto completoChoi, Gilsu. "Analysis and Experimental Verification of the Demagnetization Vulnerability in Various PM Synchronous Machine Configurations for an EV Application". Energies 14, n.º 17 (1 de septiembre de 2021): 5447. http://dx.doi.org/10.3390/en14175447.
Texto completoHusainy, Avesahemad S. N., Sairam A. Patil, Atharva S. Sinfal, Vasim M. Mujawar y Chandrashekhar S. Sinfal. "Parameter Optimization of Refrigeration Chiller by Machine Learning". Asian Journal of Electrical Sciences 12, n.º 1 (22 de junio de 2023): 39–45. http://dx.doi.org/10.51983/ajes-2023.12.1.3684.
Texto completoRECHTIN, CYDNEY, CHITTA RANJAN, ANTHONY LEWIS y BETH ANN ZARKO. "Creating adaptive predictions for packaging-critical quality parameters using advanced analytics and machine learning". November 2019 18, n.º 11 (1 de diciembre de 2019): 679–89. http://dx.doi.org/10.32964/tj18.11.679.
Texto completoScafà, Martina, Marco Marconi y Michele Germani. "A critical review of symbiosis approaches in the context of Industry 4.0☆". Journal of Computational Design and Engineering 7, n.º 3 (3 de abril de 2020): 269–78. http://dx.doi.org/10.1093/jcde/qwaa022.
Texto completoAlHaddad, Ulaa, Abdullah Basuhail, Maher Khemakhem, Fathy Elbouraey Eassa y Kamal Jambi. "Towards Sustainable Energy Grids: A Machine Learning-Based Ensemble Methods Approach for Outages Estimation in Extreme Weather Events". Sustainability 15, n.º 16 (21 de agosto de 2023): 12622. http://dx.doi.org/10.3390/su151612622.
Texto completoBorunda, Monica, Adrián Ramírez, Raul Garduno, Gerardo Ruíz, Sergio Hernandez y O. A. Jaramillo. "Photovoltaic Power Generation Forecasting for Regional Assessment Using Machine Learning". Energies 15, n.º 23 (24 de noviembre de 2022): 8895. http://dx.doi.org/10.3390/en15238895.
Texto completoChen, James Ming y Mobeen Ur Rehman. "A Pattern New in Every Moment: The Temporal Clustering of Markets for Crude Oil, Refined Fuels, and Other Commodities". Energies 14, n.º 19 (24 de septiembre de 2021): 6099. http://dx.doi.org/10.3390/en14196099.
Texto completoDel Ser, J., D. Casillas-Perez, L. Cornejo-Bueno, L. Prieto-Godino, J. Sanz-Justo, C. Casanova-Mateo y S. Salcedo-Sanz. "Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives". Applied Soft Computing 118 (marzo de 2022): 108526. http://dx.doi.org/10.1016/j.asoc.2022.108526.
Texto completoForootan, Mohammad Mahdi, Iman Larki, Rahim Zahedi y Abolfazl Ahmadi. "Machine Learning and Deep Learning in Energy Systems: A Review". Sustainability 14, n.º 8 (18 de abril de 2022): 4832. http://dx.doi.org/10.3390/su14084832.
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