Littérature scientifique sur le sujet « Physics-guided »
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Articles de revues sur le sujet "Physics-guided"
Gutierrez, Mario A., Jack Dvorkin et Amos Nur. « Stratigraphy-guided rock physics ». Leading Edge 21, no 1 (janvier 2002) : 98–103. http://dx.doi.org/10.1190/1.1445859.
Texte intégralEaton, D. J. « Physics Support of Image-guided Radiotherapy ». Clinical Oncology 25, no 3 (mars 2013) : e31. http://dx.doi.org/10.1016/j.clon.2012.12.003.
Texte intégralPawar, Suraj, Omer San, Burak Aksoylu, Adil Rasheed et Trond Kvamsdal. « Physics guided machine learning using simplified theories ». Physics of Fluids 33, no 1 (1 janvier 2021) : 011701. http://dx.doi.org/10.1063/5.0038929.
Texte intégralPawar, Suraj, Omer San, Burak Aksoylu, Adil Rasheed et Trond Kvamsdal. « Physics guided machine learning using simplified theories ». Physics of Fluids 33, no 1 (1 janvier 2021) : 011701. http://dx.doi.org/10.1063/5.0038929.
Texte intégralKeyser, Paul T. « Aristotle's Physics : A Guided Study. Joe Sachs ». Isis 87, no 4 (décembre 1996) : 716–17. http://dx.doi.org/10.1086/357668.
Texte intégralLu, XinPei, et Kostya (Ken) Ostrikov. « Guided ionization waves : The physics of repeatability ». Applied Physics Reviews 5, no 3 (septembre 2018) : 031102. http://dx.doi.org/10.1063/1.5031445.
Texte intégralYang, Gangjun, Liping Xie, Ying Tan et Zhihua Cui. « Artificial physics optimisation algorithm guided by diversity ». International Journal of Computer Applications in Technology 46, no 4 (2013) : 369. http://dx.doi.org/10.1504/ijcat.2013.053428.
Texte intégralYusuf, 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, no 2 (25 octobre 2019) : 100–107. http://dx.doi.org/10.35508/fisa.v4i2.1835.
Texte intégralSyamsidar, S., Khaeruddin Khaeruddin et Helmi Helmi. « The Effectiveness of using Student Worksheets to Practice Science Process Skills on Hooke's Law Material ». Jurnal Penelitian & ; Pengembangan Pendidikan Fisika 7, no 1 (30 juillet 2021) : 83–90. http://dx.doi.org/10.21009/1.07109.
Texte intégralMurphy, Cara P., et John P. Kerekes. « Physics-guided neural network for predicting chemical signatures ». Applied Optics 60, no 11 (7 avril 2021) : 3176. http://dx.doi.org/10.1364/ao.420688.
Texte intégralThèses sur le sujet "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.
Texte intégralShahdi, Arya. « Physics-guided Machine Learning Approaches for Applications in Geothermal Energy Prediction ». Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/103603.
Texte intégralMaster 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.
Texte intégralGuisti, 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.
Texte intégralBaloyi, 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.
Texte intégralThesis (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.
Texte intégralMithani, 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.
Texte intégralZhao, 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.
Texte intégralDjordjevic, 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.
Texte intégralIn 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 et 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.
Texte intégralLivres sur le sujet "Physics-guided"
Aristotle, dir. Aristotle's physics : A guided study. New Brunswick, N.J : Rutgers University Press, 1995.
Trouver le texte intégralSachs, Joe. Aristotle's physics : A guided study. New Brunswick, N.J : Rutgers University Press, 1995.
Trouver le texte intégral(Eleftherios), Papantonopoulos E., dir. Physics of black holes : A guided tour. Berlin : Springer, 2009.
Trouver le texte intégralAzzopardi, Francis. Accessible physics for A-level : Guided coursebook. Basingstoke : Macmillan, 1995.
Trouver le texte intégralCelesia, Jon A. Preparation for introductory college physics : A guided student primer. Pacific Grove, CA : Brooks/Cole Pub. Co., 1998.
Trouver le texte intégralMichael, Stone. Mathematics for physics : A guided tour for graduate students. Cambridge, UK : Cambridge University Press, 2009.
Trouver le texte intégralM, Goldbart Paul, dir. Mathematics for physics : A guided tour for graduate students. Cambridge, UK : Cambridge University Press, 2009.
Trouver le texte intégralNonlinear 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.
Trouver le texte intégralAliev, Yuri M. Guided-Wave-Produced Plasmas. Berlin : Springer Berlin Heidelberg, 2000.
Trouver le texte intégralLaura, Judith. Second Enlarged Edition : From Kabbalah to Quantum Physics. USA : Open Sea Press, 2008.
Trouver le texte intégralChapitres de livres sur le sujet "Physics-guided"
Kirisits, Christian, Kari Tanderup, Taran Paulsen Hellebust et Robert Cormack. « Physics for Image-Guided Brachytherapy ». Dans Gynecologic Radiation Therapy, 143–64. Berlin, Heidelberg : Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68958-4_12.
Texte intégralStegeman, G. I., et C. T. Seaton. « Nonlinear Guided Waves : Physics and Applications ». Dans Trends in Quantum Electronics, 179–205. Berlin, Heidelberg : Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-662-10624-2_16.
Texte intégralWang, Rui, Robin Walters et Rose Yu. « Physics-Guided Deep Learning for Spatiotemporal Forecasting ». Dans Knowledge-Guided Machine Learning, 179–210. Boca Raton : Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003143376-8.
Texte intégralXu, Siqi, et Shiguang Liu. « Physics-Guided Sound Synthesis for Rotating Blades ». Dans Advances in Computer Graphics, 233–44. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61864-3_20.
Texte intégralSalunkhe, Amol, Dwyer Deighan, Paul E. DesJardin et Varun Chandola. « ChemTab : A Physics Guided Chemistry Modeling Framework ». Dans Computational Science – ICCS 2022, 75–88. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08751-6_6.
Texte intégralJia, Xiaowei, Jared D. Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael Steinbach et Vipin Kumar. « Physics-Guided Recurrent Neural Networks for Predicting Lake Water Temperature ». Dans Knowledge-Guided Machine Learning, 373–98. Boca Raton : Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003143376-16.
Texte intégralMarcu, Loredana, Eva Bezak et Barry Allen. « Image guided radiotherapy : radiobiology and physics aspects of treatment ». Dans Biomedical Physics in Radiotherapy for Cancer, 155–81. London : Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-733-4_7.
Texte intégralDaw, Arka, Anuj Karpatne, William D. Watkins, Jordan S. Read et Vipin Kumar. « Physics-Guided Neural Networks (PGNN) : An Application in Lake Temperature Modeling ». Dans Knowledge-Guided Machine Learning, 353–72. Boca Raton : Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003143376-15.
Texte intégralSzydlowski, Michal J., Christoph Schwingshackl et Ludovic Renson. « Modeling Nonlinear Structures Using Physics-Guided, Machine-Learnt Models ». Dans Nonlinear Structures & ; Systems, Volume 1, 71–74. Cham : Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-36999-5_9.
Texte intégralSemage, Buddhika Laknath, Thommen George Karimpanal, Santu Rana et Svetha Venkatesh. « Intuitive Physics Guided Exploration for Sample Efficient Sim2real Transfer ». Dans 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.
Texte intégralActes de conférences sur le sujet "Physics-guided"
Hendrick*, Natasha, et Caitlin Davis. « Rock-Physics Guided Seismic Exploration ». Dans 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.
Texte intégralLi, Yan, Shashi Shekhar, Pengyue Wang et William Northrop. « Physics-guided energy-efficient path selection ». Dans 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.
Texte intégralLe, Huy, Anshuman Pradhan, Nader C. Dutta, Biondo Biondi, Tapan Mukerji et Stewart A. Levin. « Rock physics guided velocity model building ». Dans SEG Technical Program Expanded Abstracts 2018. Society of Exploration Geophysicists, 2018. http://dx.doi.org/10.1190/segam2018-2998543.1.
Texte intégralOzdagli, Ali, Peter Volgyesi et Xenofon Koutsoukos. « Surrogate Modeling using Physics-guided Learning ». Dans 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.
Texte intégralLubbe, R., et M. El Mardi. « Rock Physics Guided Quantitative Seismic Inversion ». Dans Third EAGE Workshop on Rock Physics. Netherlands : EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201414388.
Texte intégralTETALI, HARSHA VARDHAN, et JOEL B. HARLEY. « PHYSICS-INFORMED GUIDED WAVEFIELD DATA COMPLETION ». Dans Structural Health Monitoring 2023. Destech Publications, Inc., 2023. http://dx.doi.org/10.12783/shm2023/36993.
Texte intégralGhosh, Abantika, Mohannad Elhamod, Jie Bu, Wei-Cheng Lee, Anuj Karpatne et Viktor A. Podolskiy. « Physics-guided machine learning for Maxwell's equations ». Dans Metamaterials, Metadevices, and Metasystems 2021, sous la direction de Nader Engheta, Mikhail A. Noginov et Nikolay I. Zheludev. SPIE, 2021. http://dx.doi.org/10.1117/12.2594575.
Texte intégralPhan, Son, et Mrinal K. Sen. « Seismic nonstationary deconvolution with physics-guided autoencoder ». Dans First International Meeting for Applied Geoscience & Energy. Society of Exploration Geophysicists, 2021. http://dx.doi.org/10.1190/segam2021-3582130.1.
Texte intégralYuan, Ye, Jiaming Song, Umar Iqbal, Arash Vahdat et Jan Kautz. « PhysDiff : Physics-Guided Human Motion Diffusion Model ». Dans 2023 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2023. http://dx.doi.org/10.1109/iccv51070.2023.01467.
Texte intégralNestmeyer, Thomas, Jean-Francois Lalonde, Iain Matthews et Andreas Lehrmann. « Learning Physics-Guided Face Relighting Under Directional Light ». Dans 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. http://dx.doi.org/10.1109/cvpr42600.2020.00517.
Texte intégralRapports d'organisations sur le sujet "Physics-guided"
Pocher, Liam, John Rose, Travis Peery et Jonathan Mace. Physics Guided Simulation of Electrostatic Discharge : Technical Report. Office of Scientific and Technical Information (OSTI), février 2022. http://dx.doi.org/10.2172/1845236.
Texte intégralLin, Youzuo. Physics-guided Machine Learning : from Supervised Deep Networks to Unsupervised Lightweight Models. Office of Scientific and Technical Information (OSTI), août 2023. http://dx.doi.org/10.2172/1994110.
Texte intégralSun, Alexander, Bridget Scanlon, Clint Dawson, Paola Passalacqua, Dev Niyogi, Zong-Liang Yang et Susanne Pierce. Bridging Multiscale Processes in Earth System Models with Physics-Guided Hierarchical Machine Learning. Office of Scientific and Technical Information (OSTI), avril 2021. http://dx.doi.org/10.2172/1769682.
Texte intégralSmalley. L51984 Engine-Compressor Performance Data Normalization. Chantilly, Virginia : Pipeline Research Council International, Inc. (PRCI), janvier 2003. http://dx.doi.org/10.55274/r0011172.
Texte intégral