Literatura científica selecionada sobre o tema "Physics-based invertible models"
Crie uma referência precisa em APA, MLA, Chicago, Harvard, e outros estilos
Consulte a lista de atuais artigos, livros, teses, anais de congressos e outras fontes científicas relevantes para o tema "Physics-based invertible models".
Ao lado de cada fonte na lista de referências, há um botão "Adicionar à bibliografia". Clique e geraremos automaticamente a citação bibliográfica do trabalho escolhido no estilo de citação de que você precisa: APA, MLA, Harvard, Chicago, Vancouver, etc.
Você também pode baixar o texto completo da publicação científica em formato .pdf e ler o resumo do trabalho online se estiver presente nos metadados.
Artigos de revistas sobre o assunto "Physics-based invertible models"
Bellotti, Renato, Romana Boiger e Andreas Adelmann. "Fast, Efficient and Flexible Particle Accelerator Optimisation Using Densely Connected and Invertible Neural Networks". Information 12, n.º 9 (28 de agosto de 2021): 351. http://dx.doi.org/10.3390/info12090351.
Texto completo da fonteVisone, Ciro, e Mårten Sjöström. "Exact invertible hysteresis models based on play operators". Physica B: Condensed Matter 343, n.º 1-4 (janeiro de 2004): 148–52. http://dx.doi.org/10.1016/j.physb.2003.08.087.
Texto completo da fonteYang, Pan, Minqing Zhang, Riming Wu, Yunxuan Su e Kaiyang Guo. "Hiding Image within Image Based on Deep Learning". Journal of Physics: Conference Series 2337, n.º 1 (1 de setembro de 2022): 012009. http://dx.doi.org/10.1088/1742-6596/2337/1/012009.
Texto completo da fonteTavakkoli, Vahid, Jean Chamberlain Chedjou e Kyandoghere Kyamakya. "A Novel Recurrent Neural Network-Based Ultra-Fast, Robust, and Scalable Solver for Inverting a “Time-Varying Matrix”". Sensors 19, n.º 18 (16 de setembro de 2019): 4002. http://dx.doi.org/10.3390/s19184002.
Texto completo da fonteAl Hayek, Marianne, Catherine Baskiotis, Josselin Aval, Marwa Elbouz e Bachar El Hassan. "Invertible Physics-Based Hyperspectral Signature Models: A review". IEEE Geoscience and Remote Sensing Magazine, 2023, 2–20. http://dx.doi.org/10.1109/mgrs.2023.3315520.
Texto completo da fonteXing, Xudong, Zhaobo Chen, Dong Yu, Zhongqiang Feng e Yuechen Liu. "An invertible hysteresis model for magnetorheological damper with improved adaption capability in frequency and amplitude". Smart Materials and Structures, 27 de março de 2024. http://dx.doi.org/10.1088/1361-665x/ad38a5.
Texto completo da fonteTeses / dissertações sobre o assunto "Physics-based invertible models"
Al, Hayek Marianne. "Modélisation optique de signatures spectrales et polarimétriques d'objets pour augmenter les performances d'un système de reconnaissance". Electronic Thesis or Diss., Brest, 2023. http://www.theses.fr/2023BRES0101.
Texto completo da fonteConventional imaging, limited to object shapes and colors, faces limitations in object recognition. To enhance imaging system performance, hyperspectral and polarimetric imaging provides a wealth of information, includingchallenging-to-obtain physical parameters. This facilitates improved object detection, quantitative characterization, and classification. However, the processing of complex data from these modalities remains a challenge. The aim of this work is to propose a generic methodology for the analysis of optical signals, with a primary focus on hyperspectral imaging (HSI). An original classification of invertible physics-based hyperspectral models is presented, along with descriptions of recent diverse models for various applications: MPBOM for algae and bacteria biofilm, MARMIT for soil, PROSPECT for plant leaves, Farrell for turbid biological tissues, Schmitt for human skin, and Hapke for objects in the solar system. A convergence between the PROSPECT and Farrell models for intermediate objects (green apple and leek) paves the way for the development of a new generic and comprehensive modeling approach.Particularly in the field of biology, in collaboration with the ANSES laboratory, we conducted early detection ollowed by quantification of biofilms forming in fish farming basins using hyperspectral and polarimetric imaging. This is crucial as the current visual detection method is not efficient in preventing biofilm accumulation and implementingcleaning and disinfection procedures. Hence, an initial version of a dedicated physical modeling approach called "DNA-HSI" has been established
Trabalhos de conferências sobre o assunto "Physics-based invertible models"
ZENG, JICE, MICHAEL D. TODD e HU ZHEN. "DEGRADATION MODEL UPDATING FOR FAILURE PROGNOSTICS USING A SEQUENTIAL LIKELIHOOD- FREE BAYESIAN INFERENCE METHOD AND VIDEO MONITORING DATA". In Structural Health Monitoring 2023. Destech Publications, Inc., 2023. http://dx.doi.org/10.12783/shm2023/36804.
Texto completo da fonte