Výsledky vyhledávání - physics-embedded algorithm structure*

Physics-informed machine learning in prognostics and health management: State of the art and challenges Autor DENG, Weikun, NGUYEN, Khanh T.P., MEDJAHER, Kamal, GOGU, Christian, MORIO, Jérôme

“…•Systematic bibliometric analysis of PIML in PHM.•Novel perspectives for PIML from the “Informed knowledge forms” and “Informed methods”.•Taxonomy of PIML…”
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A review of physics-informed machine learning for building energy modeling Autor Ma, Zhihao, Jiang, Gang, Hu, Yuqing, Chen, Jianli

“…) algorithms in recent years, several challenges remain to apply these data-driven approaches in BEM, including the necessity of obtaining sufficient and high-quality training data in algorithm…”
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Physics-embedded inverse analysis with algorithmic differentiation for the earth’s subsurface Autor Wu, Hao, Greer, Sarah Y., O’Malley, Daniel

“… We use a physics-embedded generative model, which takes statistically simple parameters as input and outputs subsurface properties (e.g…”
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Layered Soil Remote Sensing With Multichannel Passive Microwave Observations Using a Physics-Embedded Artificial Intelligence Framework: A Theoretical Study Autor Bai, Xuyang, Tan, Shurun

“… using multichannel passive microwave observations. To enhance the inversion efficiency and accuracy, a novel physics-embedded artificial neural network (P-ANN…”
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Physics‐Embedded Machine Learning for Fatigue Cumulative Damage Prediction Autor Gao, Zhiyuan, Jiang, Xiaomo, Guo, Yifan, Cui, Mingqing, Wang, Shengbo

“… This study proposes an innovative physics‐embedded machine learning (ML) framework to enhance residual fatigue damage prediction by integrating the Manson–Halford (MH…”
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Physics-embedded deep learning inversion for transient electromagnetic method survey data Autor Li, Ruiyou, Zhang, Yong, Ju, Jiayi, Liu, Rongqiang

“…The transient electromagnetic method (TEM) is a widely used geophysical technique for investigating complex geological conditions. Deep learning (DL) provides…”
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Layered Soil Remote Sensing with Multi-Channel Passive Microwave Observations Using A Physics Embedded Artificial Intelligence Framework: A Theoretical Study Autor Bai, Xuyang, Tan, Shurun

“… using multi-channel passive microwave observations. To enhance the inversion efficiency and accuracy, a novel Physics-Embedded Artificial Neural Network (P-ANN…”
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A physics-embedded deep-learning framework for efficient multi-fidelity modeling applied to guided wave based structural health monitoring Autor Nerlikar, Vivek, Miorelli, Roberto, Recoquillay, Arnaud, d’Almeida, Oscar

“…Health monitoring of structures using ultrasonic guided waves is an evolving technology with potential applications in monitoring pipelines, civil bridges, and aircraft components…”
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Data-Driven Perovskite Design via High-Throughput Simulation and Machine Learning Autor Wang, Yidi, Sun, Dan, Zhao, Bei, Zhu, Tianyu, Liu, Chengcheng, Xu, Zixuan, Zhou, Tianhang, Xu, Chunming

“…) in accelerating perovskite discovery. By harnessing existing experimental datasets and high-throughput computational results, ML models elucidate structure-property relationships and predict performance metrics for solar cells, (photo…”
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A Planar Array Synthesis Method Based on Deep Learning and Radiation Pattern Superposition Method Autor Huang, Jianming, Liu, Rui, Zhang, Naibo, Cui, Yansong, Ren, Weizheng, Guo, Qiuquan, Du, Yanjun, Zhao, Jiayu

“…A dual-branched convolutional neural network (CNN) integrated with hybrid training criteria is proposed for real-time multibeam synthesis in planar uniform…”
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Rings: An efficient Java/Scala library for polynomial rings Autor Poslavsky, Stanislav

“… Rings can be easily interacted or embedded in applications in high-energy physics and other research areas via a simple API with fully typed hierarchy of algebraic structures and algorithms for commutative algebra…”
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A particle model on an unstructured mesh Autor Kazeminezhad, F., Zalesak, S., Spicer, D.

“… As such the model exploits the power of finite element techniques to better investigate the rich physics embedded in the particle or kinetic models…”
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Rings: an efficient Java/Scala library for polynomial rings Autor Poslavsky, Stanislav

“… \Rings can be easily interacted or embedded in applications in high-energy physics and other research areas via a simple API with fully typed hierarchy of algebraic structures and algorithms for commutative algebra…”
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A Model-Driven Realization of AUV Controllers Based on the MDA/MBSE Approach Autor Van Thuan Truong, Ngoc Tam Bui, Ngo Van Hien

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Digital System Design - Use of Microcontroller Autor Dawoud, Shenouda, Peplow, R

“…Embedded systems are today, widely deployed in just about every piece of machinery from toasters to spacecraft…”
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Computational techniques for studying protein-protein interactions

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Chapter 9 - Computational techniques for studying protein-protein interactions Autor Al-Khafaji, Khattab, Taskin-Tok, Tugba

“… The developers, engineers, and scientists are working to develop algorithms and methodological strategies for PPIs analysis, where the laws…”
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