Artykuły w czasopismach na temat „Hot spot prediction”
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Sprawdź 50 najlepszych artykułów w czasopismach naukowych na temat „Hot spot prediction”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Przeglądaj artykuły w czasopismach z różnych dziedzin i twórz odpowiednie bibliografie.
Zhang, Sijia, Le Zhao, Chun-Hou Zheng i Junfeng Xia. "A feature-based approach to predict hot spots in protein–DNA binding interfaces". Briefings in Bioinformatics 21, nr 3 (8.04.2019): 1038–46. http://dx.doi.org/10.1093/bib/bbz037.
Pełny tekst źródłaKenneth Morrow, John, i Shuxing Zhang. "Computational Prediction of Protein Hot Spot Residues". Current Drug Metabolism 18, nr 9 (1.03.2012): 1255–65. http://dx.doi.org/10.2174/138920012799362909.
Pełny tekst źródłaKenneth Morrow, John, i Shuxing Zhang. "Computational Prediction of Protein Hot Spot Residues". Current Pharmaceutical Design 18, nr 9 (1.03.2012): 1255–65. http://dx.doi.org/10.2174/138161212799436412.
Pełny tekst źródłaNair B.J, Bipin, i Lijo Joy. "A hybrid approach for hot spot prediction and deep representation of hematological protein – drug interactions". International Journal of Engineering & Technology 7, nr 1.9 (1.03.2018): 145. http://dx.doi.org/10.14419/ijet.v7i1.9.9752.
Pełny tekst źródłaTuncbag, N., O. Keskin i A. Gursoy. "HotPoint: hot spot prediction server for protein interfaces". Nucleic Acids Research 38, Web Server (5.05.2010): W402—W406. http://dx.doi.org/10.1093/nar/gkq323.
Pełny tekst źródłaLiu, Siyu, Chuyao Liu i Lei Deng. "Machine Learning Approaches for Protein–Protein Interaction Hot Spot Prediction: Progress and Comparative Assessment". Molecules 23, nr 10 (4.10.2018): 2535. http://dx.doi.org/10.3390/molecules23102535.
Pełny tekst źródłaRoll, Uri, Lewi Stone i Shai Meiri. "Hot-Spot Facts and Artifacts-Questioning Israel's Great Biodiversity". Israel Journal of Ecology and Evolution 55, nr 3 (6.05.2009): 263–79. http://dx.doi.org/10.1560/ijee.55.3.263.
Pełny tekst źródłaWang, Ao, i Yimin Xuan. "Multiscale prediction of localized hot-spot phenomena in solar cells". Renewable Energy 146 (luty 2020): 1292–300. http://dx.doi.org/10.1016/j.renene.2019.07.073.
Pełny tekst źródłaGrosdidier, Solene, i Juan Fernandez-Recio. "Protein-protein Docking and Hot-spot Prediction for Drug Discovery". Current Pharmaceutical Design 18, nr 30 (23.08.2012): 4607–18. http://dx.doi.org/10.2174/138161212802651599.
Pełny tekst źródłaZhang, Ming, i Wei Chen. "Hot Spot Data Prediction Model Based on Wavelet Neural Network". Mathematical Problems in Engineering 2018 (30.10.2018): 1–10. http://dx.doi.org/10.1155/2018/3719564.
Pełny tekst źródłaRommel, D. P., D. Di Maio i T. Tinga. "Transformer hot spot temperature prediction based on basic operator information". International Journal of Electrical Power & Energy Systems 124 (styczeń 2021): 106340. http://dx.doi.org/10.1016/j.ijepes.2020.106340.
Pełny tekst źródłaSkillen, Alex, Alistair Revell, Hector Iacovides i Wei Wu. "Numerical prediction of local hot-spot phenomena in transformer windings". Applied Thermal Engineering 36 (kwiecień 2012): 96–105. http://dx.doi.org/10.1016/j.applthermaleng.2011.11.054.
Pełny tekst źródłaZhang, Yue, Lianfei Shan, Jianming Yu i Hongwei Lv. "Transformer winding hot spot temperature prediction based on ε -fuzzy tree". IOP Conference Series: Earth and Environmental Science 300 (9.08.2019): 042034. http://dx.doi.org/10.1088/1755-1315/300/4/042034.
Pełny tekst źródłaDíaz-Valle, Armando, José Marcos Falcón-González i Mauricio Carrillo-Tripp. "Hot Spots and Their Contribution to the Self-Assembly of the Viral Capsid: In Silico Prediction and Analysis". International Journal of Molecular Sciences 20, nr 23 (27.11.2019): 5966. http://dx.doi.org/10.3390/ijms20235966.
Pełny tekst źródłaJin, Jae Sik, i Joon Sik Lee. "Electron–Phonon Interaction Model and Prediction of Thermal Energy Transport in SOI Transistor". Journal of Nanoscience and Nanotechnology 7, nr 11 (1.11.2007): 4094–100. http://dx.doi.org/10.1166/jnn.2007.010.
Pełny tekst źródłaJin, Jae Sik, i Joon Sik Lee. "Electron–Phonon Interaction Model and Prediction of Thermal Energy Transport in SOI Transistor". Journal of Nanoscience and Nanotechnology 7, nr 11 (1.11.2007): 4094–100. http://dx.doi.org/10.1166/jnn.2007.18084.
Pełny tekst źródłaHiga, Roberto Hiroshi, i Clésio Luis Tozzi. "Prediction of binding hot spot residues by using structural and evolutionary parameters". Genetics and Molecular Biology 32, nr 3 (2009): 626–33. http://dx.doi.org/10.1590/s1415-47572009000300029.
Pełny tekst źródłaDeng, Lei, Yuanchao Sui i Jingpu Zhang. "XGBPRH: Prediction of Binding Hot Spots at Protein–RNA Interfaces Utilizing Extreme Gradient Boosting". Genes 10, nr 3 (21.03.2019): 242. http://dx.doi.org/10.3390/genes10030242.
Pełny tekst źródłaChen, Peng, Jinyan Li, Limsoon Wong, Hiroyuki Kuwahara, Jianhua Z. Huang i Xin Gao. "Accurate prediction of hot spot residues through physicochemical characteristics of amino acid sequences". Proteins: Structure, Function, and Bioinformatics 81, nr 8 (23.07.2013): 1351–62. http://dx.doi.org/10.1002/prot.24278.
Pełny tekst źródłaShao, Yong-Bo, Zhi-Fu Du i Seng-Tjhen Lie. "Prediction of hot spot stress distribution for tubular K-joints under basic loadings". Journal of Constructional Steel Research 65, nr 10-11 (październik 2009): 2011–26. http://dx.doi.org/10.1016/j.jcsr.2009.05.004.
Pełny tekst źródłaChen, Zixi, Fuqiang Liu, Bin Li, Xiaoqing Peng, Lin Fan i Aijing Luo. "Prediction of hot spot areas of hemorrhagic fever with renal syndrome in Hunan Province based on an information quantity model and logistical regression model". PLOS Neglected Tropical Diseases 14, nr 12 (21.12.2020): e0008939. http://dx.doi.org/10.1371/journal.pntd.0008939.
Pełny tekst źródłaDeng, Yongqing, Jiangjun Ruan, Yu Quan, Ruohan Gong, Daochun Huang, Cihan Duan i Yiming Xie. "A Method for Hot Spot Temperature Prediction of a 10 kV Oil-Immersed Transformer". IEEE Access 7 (2019): 107380–88. http://dx.doi.org/10.1109/access.2019.2924709.
Pełny tekst źródłaMohamadi, Bahaa, Timo Balz i Ali Younes. "Towards a PS-InSAR Based Prediction Model for Building Collapse: Spatiotemporal Patterns of Vertical Surface Motion in Collapsed Building Areas—Case Study of Alexandria, Egypt". Remote Sensing 12, nr 20 (12.10.2020): 3307. http://dx.doi.org/10.3390/rs12203307.
Pełny tekst źródłaKim, Jeong Guk, Byeong Choon Goo, Sung Cheol Yoon i Sung Tae Kwon. "Thermographic Investigation of Hot Spots in Railway Brake Discs". Key Engineering Materials 385-387 (lipiec 2008): 669–72. http://dx.doi.org/10.4028/www.scientific.net/kem.385-387.669.
Pełny tekst źródłaZhao, Yueyao, Jiawei Zhang i Haojie Li. "Deformation prediction analysis of vertical displacement of deep foundation pit based on LIBSVM". E3S Web of Conferences 206 (2020): 01021. http://dx.doi.org/10.1051/e3sconf/202020601021.
Pełny tekst źródłaXu, Yan, Kai Zhang, Hong Liang Zheng, Yu Cheng Sun i Xue Lei Tian. "An Improved Geometric Model to Predict Hot Spots of Castings". Materials Science Forum 689 (czerwiec 2011): 29–32. http://dx.doi.org/10.4028/www.scientific.net/msf.689.29.
Pełny tekst źródłaZhang, Yiyi, Xingxiao Wei, Xianhao Fan, Ke Wang, Ran Zhuo, Wei Zhang, Shuo Liang, Jian Hao i Jiefeng Liu. "A Prediction Model of Hot Spot Temperature for Split-Windings Traction Transformer Considering the Load Characteristics". IEEE Access 9 (2021): 22605–15. http://dx.doi.org/10.1109/access.2021.3056529.
Pełny tekst źródłaShabarek, Abdullah, Steven Chien i Soubhi Hadri. "Deep Learning Framework for Freeway Speed Prediction in Adverse Weather". Transportation Research Record: Journal of the Transportation Research Board 2674, nr 10 (27.08.2020): 28–41. http://dx.doi.org/10.1177/0361198120947421.
Pełny tekst źródłaXia, Linyuan, Qiumei Huang i Dongjin Wu. "Decision Tree-Based Contextual Location Prediction from Mobile Device Logs". Mobile Information Systems 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/1852861.
Pełny tekst źródłaPruncu, C. I., Z. Azari, C. Casavola i C. Pappalettere. "Characterization and Prediction of Cracks in Coated Materials: Direction and Length of Crack Propagation in Bimaterials". International Scholarly Research Notices 2015 (31.01.2015): 1–13. http://dx.doi.org/10.1155/2015/594147.
Pełny tekst źródłaFreitas e Silva, Kleber Santiago, Raisa Melo Lima, Patrícia de Sousa Lima, Lilian Cristiane Baeza, Roosevelt Alves da Silva, Célia Maria de Almeida Soares i Maristela Pereira. "Interaction of Isocitrate Lyase with Proteins Involved in the Energetic Metabolism in Paracoccidioides lutzii". Journal of Fungi 6, nr 4 (23.11.2020): 309. http://dx.doi.org/10.3390/jof6040309.
Pełny tekst źródłaMatijosaitiene, Irina, Peng Zhao, Sylvain Jaume i Joseph Gilkey Jr. "Prediction of Hourly Effect of Land Use on Crime". ISPRS International Journal of Geo-Information 8, nr 1 (31.12.2018): 16. http://dx.doi.org/10.3390/ijgi8010016.
Pełny tekst źródłaKim, Sung-Min, Yosoon Choi i Hyeong-Dong Park. "New Outlier Top-Cut Method for Mineral Resource Estimation via 3D Hot Spot Analysis of Borehole Data". Minerals 8, nr 8 (11.08.2018): 348. http://dx.doi.org/10.3390/min8080348.
Pełny tekst źródłaKunicki, Borucki, Cichoń i Frymus. "Modeling of the Winding Hot-Spot Temperature in Power Transformers: Case Study of the Low-Loaded Fleet". Energies 12, nr 18 (17.09.2019): 3561. http://dx.doi.org/10.3390/en12183561.
Pełny tekst źródłaGuan, Mingxiang, Le Wang i Liming Chen. "Channel allocation for hot spot areas in HAPS communication based on the prediction of mobile user characteristics". Intelligent Automation & Soft Computing 22, nr 4 (7.04.2016): 613–20. http://dx.doi.org/10.1080/10798587.2016.1152771.
Pełny tekst źródłaZhu, Xiaolei, i Julie C. Mitchell. "KFC2: A knowledge-based hot spot prediction method based on interface solvation, atomic density, and plasticity features". Proteins: Structure, Function, and Bioinformatics 79, nr 9 (6.07.2011): 2671–83. http://dx.doi.org/10.1002/prot.23094.
Pełny tekst źródłaAraújo, J. A., L. Susmel, D. Taylor, J. C. T. Ferro i J. L. A. Ferreira. "On the prediction of high-cycle fretting fatigue strength: Theory of critical distances vs. hot-spot approach". Engineering Fracture Mechanics 75, nr 7 (maj 2008): 1763–78. http://dx.doi.org/10.1016/j.engfracmech.2007.03.026.
Pełny tekst źródłaSun, Yuanyuan, Gongde Xu, Na Li, Kejun Li, Yongliang Liang, Hui Zhong, Lina Zhang i Ping Liu. "Hotspot Temperature Prediction of Dry-Type Transformers Based on Particle Filter Optimization with Support Vector Regression". Symmetry 13, nr 8 (22.07.2021): 1320. http://dx.doi.org/10.3390/sym13081320.
Pełny tekst źródłaSHI, GUANGLIN, LIN ZHU i DONGBIN WEI. "A NEW PREDICTION APPROACH FOR THE STRUCTURAL FATIGUE LIFE BASED ON MULTI-FACTOR CORRECTION". Surface Review and Letters 25, nr 05 (lipiec 2018): 1850095. http://dx.doi.org/10.1142/s0218625x18500956.
Pełny tekst źródłaMo, Shu Min, Ke Feng Zeng i Chao Liu. "Early Warning Mechanism of Huangshan World Geopark to Divert Passenger Traffic". Advanced Materials Research 1030-1032 (wrzesień 2014): 2014–18. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.2014.
Pełny tekst źródłaSRINIVASAN, M., i A. KRISHNAN. "ASSESSING THE RELIABILITY OF TRANSFORMER TOP OIL TEMPERATURE MODEL". International Journal of Reliability, Quality and Safety Engineering 19, nr 05 (październik 2012): 1250024. http://dx.doi.org/10.1142/s0218539312500246.
Pełny tekst źródłaRuzicka, Filip, i Tim Connallon. "Is the X chromosome a hot spot for sexually antagonistic polymorphisms? Biases in current empirical tests of classical theory". Proceedings of the Royal Society B: Biological Sciences 287, nr 1937 (21.10.2020): 20201869. http://dx.doi.org/10.1098/rspb.2020.1869.
Pełny tekst źródłaMatijosaitiene, Irina, Anthony McDowald i Vishal Juneja. "Predicting Safe Parking Spaces: A Machine Learning Approach to Geospatial Urban and Crime Data". Sustainability 11, nr 10 (19.05.2019): 2848. http://dx.doi.org/10.3390/su11102848.
Pełny tekst źródłaLu, Jian Hui, Meng Bing Wei i Kai Yuan Zheng. "Multiaxial Fatigue Life Prediction of the CII Platform Leg Based on Critical Plane Energy Method". Applied Mechanics and Materials 624 (sierpień 2014): 255–61. http://dx.doi.org/10.4028/www.scientific.net/amm.624.255.
Pełny tekst źródłaFeuerstein, Stefanie, i Kerstin Schepanski. "Identification of Dust Sources in a Saharan Dust Hot-Spot and Their Implementation in a Dust-Emission Model". Remote Sensing 11, nr 1 (20.12.2018): 4. http://dx.doi.org/10.3390/rs11010004.
Pełny tekst źródłaOrozco, G. A., J. R. Gomez, O. F. Sanchez, I. D. Gil i A. Duran. "Effect of kinetic models on hot spot temperature prediction for phthalic anhydride production in a multitubular packed bed reactor". Canadian Journal of Chemical Engineering 88, nr 2 (kwiecień 2010): 224–31. http://dx.doi.org/10.1002/cjce.20276.
Pełny tekst źródłaSchlee, Sandra, Kristina Straub, Thomas Schwab, Thomas Kinateder, Rainer Merkl i Reinhard Sterner. "Prediction of quaternary structure by analysis of hot spot residues in protein‐protein interfaces: the case of anthranilate phosphoribosyltransferases". Proteins: Structure, Function, and Bioinformatics 87, nr 10 (10.06.2019): 815–25. http://dx.doi.org/10.1002/prot.25744.
Pełny tekst źródłaChen, Ya Bo, Yue Sun, Xu Ri Sun, Ge Hao Sheng i Xiu Chen Jiang. "Real-Time Temperature On-Line Monitoring and Analysis System for Transformers". Applied Mechanics and Materials 521 (luty 2014): 409–13. http://dx.doi.org/10.4028/www.scientific.net/amm.521.409.
Pełny tekst źródłaDing, Guangyu, i Liangxi Qin. "Study on the prediction of stock price based on the associated network model of LSTM". International Journal of Machine Learning and Cybernetics 11, nr 6 (30.11.2019): 1307–17. http://dx.doi.org/10.1007/s13042-019-01041-1.
Pełny tekst źródłaShi, H. L., i G. W. Lan. "A GREY MODEL FOR SHORT-TERM PREDICTION OF THE IONOSPHERIC TEC". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W10 (8.02.2020): 1161–67. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w10-1161-2020.
Pełny tekst źródła