Literatura científica selecionada sobre o tema "Physics-guided"
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Artigos de revistas sobre o assunto "Physics-guided"
Gutierrez, Mario A., Jack Dvorkin e Amos Nur. "Stratigraphy-guided rock physics". Leading Edge 21, n.º 1 (janeiro de 2002): 98–103. http://dx.doi.org/10.1190/1.1445859.
Texto completo da fonteEaton, D. J. "Physics Support of Image-guided Radiotherapy". Clinical Oncology 25, n.º 3 (março de 2013): e31. http://dx.doi.org/10.1016/j.clon.2012.12.003.
Texto completo da fontePawar, Suraj, Omer San, Burak Aksoylu, Adil Rasheed e Trond Kvamsdal. "Physics guided machine learning using simplified theories". Physics of Fluids 33, n.º 1 (1 de janeiro de 2021): 011701. http://dx.doi.org/10.1063/5.0038929.
Texto completo da fontePawar, Suraj, Omer San, Burak Aksoylu, Adil Rasheed e Trond Kvamsdal. "Physics guided machine learning using simplified theories". Physics of Fluids 33, n.º 1 (1 de janeiro de 2021): 011701. http://dx.doi.org/10.1063/5.0038929.
Texto completo da fonteKeyser, Paul T. "Aristotle's Physics: A Guided Study. Joe Sachs". Isis 87, n.º 4 (dezembro de 1996): 716–17. http://dx.doi.org/10.1086/357668.
Texto completo da fonteLu, XinPei, e Kostya (Ken) Ostrikov. "Guided ionization waves: The physics of repeatability". Applied Physics Reviews 5, n.º 3 (setembro de 2018): 031102. http://dx.doi.org/10.1063/1.5031445.
Texto completo da fonteYang, Gangjun, Liping Xie, Ying Tan e Zhihua Cui. "Artificial physics optimisation algorithm guided by diversity". International Journal of Computer Applications in Technology 46, n.º 4 (2013): 369. http://dx.doi.org/10.1504/ijcat.2013.053428.
Texto completo da fonteYusuf, Yusniati H. Muh. "PENERAPAN MODEL PEMBELAJARAN PROCESS ORIENTED GUIDED INQUIRY DAN MODEL PEMBELAJARAN GUIDED INQUIRY UNTUK MENINGKATKAN PENGETAHUAN PROSEDURAL FISIKA SISWA SMP NEGERI 3 AMANUBAN TENGAH". Jurnal Fisika : Fisika Sains dan Aplikasinya 4, n.º 2 (25 de outubro de 2019): 100–107. http://dx.doi.org/10.35508/fisa.v4i2.1835.
Texto completo da fonteSyamsidar, S., Khaeruddin Khaeruddin e Helmi Helmi. "The Effectiveness of using Student Worksheets to Practice Science Process Skills on Hooke's Law Material". Jurnal Penelitian & Pengembangan Pendidikan Fisika 7, n.º 1 (30 de julho de 2021): 83–90. http://dx.doi.org/10.21009/1.07109.
Texto completo da fonteMurphy, Cara P., e John P. Kerekes. "Physics-guided neural network for predicting chemical signatures". Applied Optics 60, n.º 11 (7 de abril de 2021): 3176. http://dx.doi.org/10.1364/ao.420688.
Texto completo da fonteTeses / dissertações sobre o assunto "Physics-guided"
Lynn, Hermes B. "Guided inquiry using the 5E instructional model with high school physics". Montana State University, 2012. http://etd.lib.montana.edu/etd/2012/lynn/LynnH0812.pdf.
Texto completo da fonteShahdi, Arya. "Physics-guided Machine Learning Approaches for Applications in Geothermal Energy Prediction". Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/103603.
Texto completo da fonteMaster of Science
Machine learning and artificial intelligence have transformed many research fields and industries. In this thesis, we investigate the applicability of machine learning and data-driven approaches in the field of geothermal energy exploration. Given the uncertainties and simplifying assumptions associated with the current state of physics-based models, we show that machine learning can provide viable alternative solutions for geothermal energy mapping. First, we explore a suite of machine learning algorithms such as neural networks (DNN), Ridge regression (R-reg) models, and decision-tree based models (e.g., XGBoost and Random Forest). We find that XGBoost and Random Forests result in the highest accuracy for subsurface temperature prediction. Accuracy measures show that machine learning models are at par with physics-based models and can even outperform the thermal conductivity model. Second, we incorporate the thermal conductivity theory with machine learning and propose an innovative clustering-regression approach in the emerging area of physics-guided machine learning that results in a smaller error than black-box machine learning methods.
Pizzati, Fabio <1993>. "Exploring domain-informed and physics-guided learning in image-to-image translation". Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amsdottorato.unibo.it/10499/1/pizzati_fabio_tesi.pdf.
Texto completo da fonteGuisti, Brett M. "Comparison of Guided and Open Inquiry Instruction in a High School Physics Classroom". Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2572.pdf.
Texto completo da fonteBaloyi, Vonani Michael. "Influence of guided inquiry-based laboratory activities on outcomes achieved in first-year physics". Thesis, University of Pretoria, 2017. http://hdl.handle.net/2263/62910.
Texto completo da fonteThesis (PhD)--University of Pretoria, 2017.
Science, Mathematics and Technology Education
PhD
Unrestricted
Karunanayaka, Prasanna Rasika. "A Dispersion Formula for Analyzing Modal Interference Among Guided and Free Electromagnetic Wave Modes and Other Phenomena in a Circular Optical Fiber". University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1100844976.
Texto completo da fonteMithani, Murad A. "The Development and Marketing of an Online Guided Study Program for the GRE Physics Exam Towards an Understanding of Future Instructional Methodologies". Case Western Reserve University School of Graduate Studies / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=case1225102470.
Texto completo da fonteZhao, Zhiling. "The Response of O(1S) and OH Emission Brightness to Gravity Wave Perturbations". University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin989251411.
Texto completo da fonteDjordjevic, Milos. "Evaluation of Geometric Accuracy and Image Quality of an On-Board Imager (OBI)". Thesis, Stockholm University, Medical Radiation Physics (together with KI), 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-6967.
Texto completo da fonteIn this project several tests were performed to evaluate the performance of an On-Board Imager® (OBI) mounted on a clinical linear accelerator. The measurements were divided into three parts; geometric accuracy, image registration and couch shift accuracy, and image quality. A cube phantom containing a radiation opaque marker was used to study the agreement with treatment isocenter for both kV-images and cone-beam CT (CBCT) images. The long term stability was investigated by acquiring frontal and lateral kV images twice a week over a 3 month period. Stability in vertical and longitudinal robotic arm motion as well as the stability of the center-of-rotation was evaluated. Further, the agreement of kV image and CBCT center with MV image center was examined.
A marker seed phantom was used to evaluate and compare the three applications in image registration; 2D/2D, 2D/3D and 3D/3D. Image registration using kV-kV image sets were compared with MV MV and MV-kV image sets. Further, the accuracy in 2D/2D matches with images acquired at non-orthogonal gantry angles was evaluated. The image quality in CBCT images was evaluated using a Catphan® phantom. Hounsfield unit (HU) uniformity and linearity was compared with planning CT. HU accuracy is crucial for dose verification using CBCT data.
The geometric measurements showed good long term stability and accurate position reproducibility after robotic arm motions. A systematic error of about 1 mm in lateral direction of the kV-image center was detected. A small difference between kV and CBCT center was observed and related to a lateral kV detector offset. The vector disagreement between kV- and MV-image centers was 2 mm at some gantry angles. Image registration with the different match applications worked sufficiently. 2D/3D match was seen to correct more accurately than 2D/2D match for large translational and rotational shifts. CBCT images acquired with full-fan mode showed good HU uniformity but half fan images were less uniform. In the soft tissue region the HU agreement with planning CT was reasonable while a larger disagreement was observed at higher densities. This work shows that the OBI is robust and stable in its performance. With regular QC and calibrations the geometric precision of the OBI can be maintained within 1 mm of treatment isocenter.
Madonia, Rosalia [Verfasser], Dr Kraus Ute [Akademischer Betreuer] Prof e Dr Grabmayr Peter [Gutachter] Prof. "A Nature of Science guided approach to the physics teaching of Cosmic Rays / Rosalia Madonia ; Gutachter: Peter Prof. Dr. Grabmayr ; Betreuer: Ute Prof. Dr. Kraus". Hildesheim : Universität Hildesheim, 2019. http://d-nb.info/1202921086/34.
Texto completo da fonteLivros sobre o assunto "Physics-guided"
Aristotle, ed. Aristotle's physics: A guided study. New Brunswick, N.J: Rutgers University Press, 1995.
Encontre o texto completo da fonteSachs, Joe. Aristotle's physics: A guided study. New Brunswick, N.J: Rutgers University Press, 1995.
Encontre o texto completo da fonte(Eleftherios), Papantonopoulos E., ed. Physics of black holes: A guided tour. Berlin: Springer, 2009.
Encontre o texto completo da fonteAzzopardi, Francis. Accessible physics for A-level: Guided coursebook. Basingstoke: Macmillan, 1995.
Encontre o texto completo da fonteCelesia, Jon A. Preparation for introductory college physics: A guided student primer. Pacific Grove, CA: Brooks/Cole Pub. Co., 1998.
Encontre o texto completo da fonteMichael, Stone. Mathematics for physics: A guided tour for graduate students. Cambridge, UK: Cambridge University Press, 2009.
Encontre o texto completo da fonteM, Goldbart Paul, ed. Mathematics for physics: A guided tour for graduate students. Cambridge, UK: Cambridge University Press, 2009.
Encontre o texto completo da fonteNonlinear Guided-Wave Phenomena, Physics and Applications Topical Meeting (1989 Houston, Tex.). Nonlinear guided-wave phenomena: Physics and applications : summaries of papers presented at the Nonlinear Guided-Wave Phenomena, Physics Applications Topical Meeting, February 2-4, 1989, Houston, Texas. Washington, D.C: Optical Society of America, 1989.
Encontre o texto completo da fonteAliev, Yuri M. Guided-Wave-Produced Plasmas. Berlin: Springer Berlin Heidelberg, 2000.
Encontre o texto completo da fonteLaura, Judith. Second Enlarged Edition: From Kabbalah to Quantum Physics. USA: Open Sea Press, 2008.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Physics-guided"
Kirisits, Christian, Kari Tanderup, Taran Paulsen Hellebust e Robert Cormack. "Physics for Image-Guided Brachytherapy". In Gynecologic Radiation Therapy, 143–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68958-4_12.
Texto completo da fonteStegeman, G. I., e C. T. Seaton. "Nonlinear Guided Waves : Physics and Applications". In Trends in Quantum Electronics, 179–205. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-662-10624-2_16.
Texto completo da fonteWang, Rui, Robin Walters e Rose Yu. "Physics-Guided Deep Learning for Spatiotemporal Forecasting". In Knowledge-Guided Machine Learning, 179–210. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003143376-8.
Texto completo da fonteXu, Siqi, e Shiguang Liu. "Physics-Guided Sound Synthesis for Rotating Blades". In Advances in Computer Graphics, 233–44. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61864-3_20.
Texto completo da fonteSalunkhe, Amol, Dwyer Deighan, Paul E. DesJardin e Varun Chandola. "ChemTab: A Physics Guided Chemistry Modeling Framework". In Computational Science – ICCS 2022, 75–88. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08751-6_6.
Texto completo da fonteJia, Xiaowei, Jared D. Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael Steinbach e Vipin Kumar. "Physics-Guided Recurrent Neural Networks for Predicting Lake Water Temperature". In Knowledge-Guided Machine Learning, 373–98. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003143376-16.
Texto completo da fonteMarcu, Loredana, Eva Bezak e Barry Allen. "Image guided radiotherapy: radiobiology and physics aspects of treatment". In Biomedical Physics in Radiotherapy for Cancer, 155–81. London: Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-733-4_7.
Texto completo da fonteDaw, Arka, Anuj Karpatne, William D. Watkins, Jordan S. Read e Vipin Kumar. "Physics-Guided Neural Networks (PGNN): An Application in Lake Temperature Modeling". In Knowledge-Guided Machine Learning, 353–72. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003143376-15.
Texto completo da fonteSzydlowski, Michal J., Christoph Schwingshackl e Ludovic Renson. "Modeling Nonlinear Structures Using Physics-Guided, Machine-Learnt Models". In Nonlinear Structures & Systems, Volume 1, 71–74. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-36999-5_9.
Texto completo da fonteSemage, Buddhika Laknath, Thommen George Karimpanal, Santu Rana e Svetha Venkatesh. "Intuitive Physics Guided Exploration for Sample Efficient Sim2real Transfer". In Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 674–86. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37742-6_52.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Physics-guided"
Hendrick*, Natasha, e Caitlin Davis. "Rock-Physics Guided Seismic Exploration". In International Conference and Exhibition, Melbourne, Australia 13-16 September 2015. Society of Exploration Geophysicists and American Association of Petroleum Geologists, 2015. http://dx.doi.org/10.1190/ice2015-2211521.
Texto completo da fonteLi, Yan, Shashi Shekhar, Pengyue Wang e William Northrop. "Physics-guided energy-efficient path selection". In SIGSPATIAL '18: 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3274895.3274933.
Texto completo da fonteLe, Huy, Anshuman Pradhan, Nader C. Dutta, Biondo Biondi, Tapan Mukerji e Stewart A. Levin. "Rock physics guided velocity model building". In SEG Technical Program Expanded Abstracts 2018. Society of Exploration Geophysicists, 2018. http://dx.doi.org/10.1190/segam2018-2998543.1.
Texto completo da fonteOzdagli, Ali, Peter Volgyesi e Xenofon Koutsoukos. "Surrogate Modeling using Physics-guided Learning". In CPS-IoT Week '23: Cyber-Physical Systems and Internet of Things Week 2023. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3576914.3587532.
Texto completo da fonteLubbe, R., e M. El Mardi. "Rock Physics Guided Quantitative Seismic Inversion". In Third EAGE Workshop on Rock Physics. Netherlands: EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201414388.
Texto completo da fonteTETALI, HARSHA VARDHAN, e JOEL B. HARLEY. "PHYSICS-INFORMED GUIDED WAVEFIELD DATA COMPLETION". In Structural Health Monitoring 2023. Destech Publications, Inc., 2023. http://dx.doi.org/10.12783/shm2023/36993.
Texto completo da fonteGhosh, Abantika, Mohannad Elhamod, Jie Bu, Wei-Cheng Lee, Anuj Karpatne e Viktor A. Podolskiy. "Physics-guided machine learning for Maxwell's equations". In Metamaterials, Metadevices, and Metasystems 2021, editado por Nader Engheta, Mikhail A. Noginov e Nikolay I. Zheludev. SPIE, 2021. http://dx.doi.org/10.1117/12.2594575.
Texto completo da fontePhan, Son, e Mrinal K. Sen. "Seismic nonstationary deconvolution with physics-guided autoencoder". In First International Meeting for Applied Geoscience & Energy. Society of Exploration Geophysicists, 2021. http://dx.doi.org/10.1190/segam2021-3582130.1.
Texto completo da fonteYuan, Ye, Jiaming Song, Umar Iqbal, Arash Vahdat e Jan Kautz. "PhysDiff: Physics-Guided Human Motion Diffusion Model". In 2023 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2023. http://dx.doi.org/10.1109/iccv51070.2023.01467.
Texto completo da fonteNestmeyer, Thomas, Jean-Francois Lalonde, Iain Matthews e Andreas Lehrmann. "Learning Physics-Guided Face Relighting Under Directional Light". In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. http://dx.doi.org/10.1109/cvpr42600.2020.00517.
Texto completo da fonteRelatórios de organizações sobre o assunto "Physics-guided"
Pocher, Liam, John Rose, Travis Peery e Jonathan Mace. Physics Guided Simulation of Electrostatic Discharge: Technical Report. Office of Scientific and Technical Information (OSTI), fevereiro de 2022. http://dx.doi.org/10.2172/1845236.
Texto completo da fonteLin, Youzuo. Physics-guided Machine Learning: from Supervised Deep Networks to Unsupervised Lightweight Models. Office of Scientific and Technical Information (OSTI), agosto de 2023. http://dx.doi.org/10.2172/1994110.
Texto completo da fonteSun, Alexander, Bridget Scanlon, Clint Dawson, Paola Passalacqua, Dev Niyogi, Zong-Liang Yang e Susanne Pierce. Bridging Multiscale Processes in Earth System Models with Physics-Guided Hierarchical Machine Learning. Office of Scientific and Technical Information (OSTI), abril de 2021. http://dx.doi.org/10.2172/1769682.
Texto completo da fonteSmalley. L51984 Engine-Compressor Performance Data Normalization. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), janeiro de 2003. http://dx.doi.org/10.55274/r0011172.
Texto completo da fonte