Výsledky vyhľadávania - S.I.: Timely Advances of Deep Learning with applications and Data Driven Modeling

Advances in Deep Learning-Driven Metasurface Design and Application in Holographic Imaging Autor Lv, Manxu, Feng, Huizhen, Jin, Yongxing, Tian, Ying

“…; however, reviews on this topic remain scarce. This review introduces the development of neural networks and the relevant content on metasurface design using the four types of networks and the applications of deep learning-designed metasurface holographic imaging technology, thereby enhancing readers’ systematic understanding of such technologies…”
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Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches: Theory and Practical Applications Autor Harrou, Fouzi, Sun, Ying, Hering, Amanda S, Madakyaru, Muddu, Dairi, abdelkader

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Advances in deep learning-driven photo identification and meta analysis of cetaceans in large data repositories Autor Barnhill, Alexander, Towers, Jared R., Shaw, Tasli J.H., Arias, Magdalena, Bécares, Adrián, Doniol-Valcroze, Thomas, von Fersen, Lorenzo, Genoves, Rodrigo, Rörup, Tim, Sutton, Gary J., Thornton, Sheila, Weiss, Michael, Maier, Andreas, Nöth, Elmar, Bergler, Christian

“… We present a scalable, end-to-end framework that automates this process using lightweight deep learning models optimized for resource-constrained environments…”
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Leveraging advances in data-driven deep learning methods for hybrid epidemic modeling Autor Chen, Shi, Janies, Daniel, Paul, Rajib, Thill, Jean-Claude

“…) for more than 12 rounds since early 2021 for informed decision support. We emphasize the importance of deep learning techniques for epidemic modeling via a flexible DD…”
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From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare Autor Chakraborty, Chiranjib, Bhattacharya, Manojit, Pal, Soumen, Lee, Sang-Soo

“… The medicine and healthcare sector has been evolving and advancing very fast. The advancement has been initiated and shaped by the applications of data-driven, robust, and efficient machine learning (ML) to deep learning (DL) technologies…”
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Data-Driven Optimization under Uncertainty in the Era of Big Data and Deep Learning: General Frameworks, Algorithms, and Applications Autor Ning, Chao

“…This dissertation deals with the development of fundamental data-driven optimization under uncertainty, including its modeling frameworks, solution algorithms, and a wide variety of applications…”
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The application of deep learning in data-driven modeling of process industries Autor Xiaofeng YUAN, Yalin WANG, Chunhua YANG, Weihua GUI

“… industries.Firstly,the history of deep learning was introduced.Then,four widely used deep networks and their applications were introduced in data-driven modeling of process…”
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Application of Machine Learning Method of Data-Driven Deep Learning Model to Predict Well Production Rate in the Shale Gas Reservoirs Autor Han, Dongkwon, Kwon, Sunil

“… Since we need to simulate the physical phenomenon of multi-stage hydraulic fracturing. To overcome these limitations, this paper presents an alternative proxy model based on data-driven deep learning model…”
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Advances in Prior-Driven Machine Learning Techniques for Health Applications With Limited Data Autor Saffarpour, Mahya

“…Adoption of machine learning (ML) techniques in healthcare applications is hindered by several challenges, including difficulty in accessing large volumes of retrospective data due to regulatory constraints, or the cost and delay…”
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Data-driven novel deep learning applications for the prediction of rainfall using meteorological data Autor Li, Hongli, Li, Shanzhi, Ghorbani, Hamzeh

“…), minimum temperature (°C), wind speed (m/s), relative humidity (%), and solar radiation (MJ/m 2 ). Three novel and robust Deep Learning models were used…”
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A Spark ML driven preprocessing approach for deep learning based scholarly data applications Autor Khan, Samiya, Liu, Xiufeng, Alam, Mansaf

“… With the advent of advanced machine and deep learning techniques, the accuracy and novelty of such applications have risen manifold…”
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Direct Error-Driven Learning for Deep Neural Networks With Applications to Big Data Autor Krishnan, R., Jagannathan, S., Samaranayake, V. A.

“…In this brief, heterogeneity and noise in big data are shown to increase the generalization error for a traditional learning regime utilized for deep neural networks (deep NNs…”
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MolAI: A Deep Learning Framework for Data-Driven Molecular Descriptor Generation and Advanced Drug Discovery Applications Autor Mahdizadeh, Sayyed Jalil, Eriksson, Leif A

“…This study introduces MolAI, a robust deep learning model designed for data-driven molecular descriptor generation…”
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Application of Data-Driven Deep Learning Method in Thrust Prediction of Solid Rocket Motor Autor Wang, Pang, Liu, Peijin, Ao, Wen

“… prediction with small sample data. This article proposes a hybrid deep neural network (DNN) model that combines convolutional neural networks…”
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A Data-Driven Soft Sensor Modeling Method Based on Deep Learning and its Application Autor Yan, Weiwu, Tang, Di, Lin, Yujun

“… This paper introduces deep learning to soft sensor modeling and proposes a novel soft sensor modeling method based on a deep learning network that integrates denoising autoencoders with a neural network (DAE-NN…”
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Data-Driven Deep Reinforcement Learning Control: Application to New Energy Aircraft PMSM Autor Li, Xin, Qi, Yiwen, Zhao, Tienan, Liu, Yuanqiang, Zhang, Lei, Xu, Hai, Yu, Wenke, Zhao, Xiujuan, Zhang, Chi

“… Aiming at the PMSM speed control, this paper proposes a novel data-driven deep reinforcement learning method…”
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SynSection: Sedimentology-driven data generation for deep learning applications in carbonates petrography Autor Ransinangue, Axel, Labourdette, Richard, Houzay, Erwann, Guillon, Sebastien, Bourillot, Raphael, Dujoncquoy, Emmanuel, Chehata, Nesrine

“…; however, the field remains constrained by limited training data availability, as manual annotation requires considerable time investment and can result in variable interpretations…”
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Data-Driven Bayesian Signal Processing for Selected Wireless Communication Applications: From Classical to Deep Learning Autor Jha, Nilesh Kumar

“… technologies, and algorithm design. However, as traditional algorithm approach saturation in their modelling, inference and robustness capabilities, data driven methods for supporting the above novel designs has received significant research focus…”
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Data Driven Surrogate Modeling of Phase Array Antennas Using Deep Learning for Millimetric Band Applications Autor Tulum, Mehmet Akif, Turk, Ahmet Serdar, Mahouti, Peyman

“…Phased Array Antenna (PAA) technology plays an important role in fields such as radar, 5G and satellite or any application which requires wide bandwidth and high gain…”
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MolAI: A Deep Learning Framework for Data-driven Molecular Descriptor Generation and Advanced Drug Discovery Applications Autor Mahdizadeh, Sayyed Jalil, Eriksson, Leif A.

“…This study introduces MolAI, a robust deep learning model designed for data-driven molecular descriptor generation…”
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