Recent Developments in Deep Learning for Engineering Applications.
作者信息
Voulodimos Athanasios, Doulamis Nikolaos, Bebis George, Stathaki Tania
机构信息
University of West Attica, Athens, Greece.
National Technical University of Athens, Athens, Greece.
出版信息
Comput Intell Neurosci. 2018 May 10;2018:8141259. doi: 10.1155/2018/8141259. eCollection 2018.
Abstract
摘要
相似文献
1
Recent Developments in Deep Learning for Engineering Applications.深度学习在工程应用中的最新进展。
Comput Intell Neurosci. 2018 May 10;2018:8141259. doi: 10.1155/2018/8141259. eCollection 2018.
2
The Next Era: Deep Learning in Pharmaceutical Research.下一个时代：药物研究中的深度学习。
Pharm Res. 2016 Nov;33(11):2594-603. doi: 10.1007/s11095-016-2029-7. Epub 2016 Sep 6.
3
Recent developments in machine learning for medical imaging applications.医学成像应用中机器学习的最新进展。
Comput Med Imaging Graph. 2017 Apr;57:1-3. doi: 10.1016/j.compmedimag.2017.04.001.
4
Machine learning and data science in soft materials engineering.软材料工程中的机器学习与数据科学。
J Phys Condens Matter. 2018 Jan 31;30(4):043002. doi: 10.1088/1361-648X/aa98bd.
5
From machine learning to deep learning: progress in machine intelligence for rational drug discovery.从机器学习到深度学习：用于理性药物发现的机器智能的进展。
Drug Discov Today. 2017 Nov;22(11):1680-1685. doi: 10.1016/j.drudis.2017.08.010. Epub 2017 Sep 4.
6
[Applications of Machine Learning for Radiation Therapy].[机器学习在放射治疗中的应用]
Igaku Butsuri. 2016;36(1):35-38. doi: 10.11323/jjmp.36.1_35.
7
Applications of Deep Learning in Biomedicine.深度学习在生物医学中的应用。
Mol Pharm. 2016 May 2;13(5):1445-54. doi: 10.1021/acs.molpharmaceut.5b00982. Epub 2016 Mar 29.
8
Deep Convolutional Extreme Learning Machine and Its Application in Handwritten Digit Classification.深度卷积极限学习机及其在手写数字分类中的应用
Comput Intell Neurosci. 2016;2016:3049632. doi: 10.1155/2016/3049632. Epub 2016 Aug 17.
9
Recent Advances in Learning Theory.学习理论的最新进展
Comput Intell Neurosci. 2015;2015:395948. doi: 10.1155/2015/395948. Epub 2015 Nov 16.
10
Discovery and Optimization of Materials Using Evolutionary Approaches.利用进化方法发现和优化材料。
Chem Rev. 2016 May 25;116(10):6107-32. doi: 10.1021/acs.chemrev.5b00691. Epub 2016 May 12.
引用本文的文献
1
Efficient attention vision transformers for monocular depth estimation on resource-limited hardware.用于资源受限硬件上的单目深度估计的高效注意力视觉Transformer
Sci Rep. 2025 Jul 5;15(1):24001. doi: 10.1038/s41598-025-06112-8.
2
A Deep Learning-Based Approach to Characterize Skull Physical Properties: A Phantom Study.一种基于深度学习的颅骨物理特性表征方法：体模研究。
J Biophotonics. 2025 Jan;18(1):e202400131. doi: 10.1002/jbio.202400131. Epub 2024 Nov 14.
3
Rapid bacterial identification through volatile organic compound analysis and deep learning.通过挥发性有机化合物分析和深度学习实现快速细菌鉴定。
BMC Bioinformatics. 2024 Nov 6;25(1):347. doi: 10.1186/s12859-024-05967-4.
4
Comparison of estimating vegetation index for outdoor free-range pig production using convolutional neural networks.使用卷积神经网络估算户外自由放养式生猪生产植被指数的比较。
J Anim Sci Technol. 2023 Nov;65(6):1254-1269. doi: 10.5187/jast.2023.e81. Epub 2023 Nov 30.
5
GraphsformerCPI: Graph Transformer for Compound-Protein Interaction Prediction.GraphsformerCPI：用于化合物-蛋白质相互作用预测的图Transformer。
Interdiscip Sci. 2024 Jun;16(2):361-377. doi: 10.1007/s12539-024-00609-y. Epub 2024 Mar 8.
6
Automated Identification of Overheated Belt Conveyor Idlers in Thermal Images with Complex Backgrounds Using Binary Classification with CNN.基于 CNN 的二分类算法对复杂背景热图像中过热输送带托辊的自动识别
Sensors (Basel). 2022 Dec 19;22(24):10004. doi: 10.3390/s222410004.
7
Applications of Artificial Intelligence to Obesity Research: Scoping Review of Methodologies.人工智能在肥胖研究中的应用：方法学的范围综述。
J Med Internet Res. 2022 Dec 7;24(12):e40589. doi: 10.2196/40589.
8
A Functional Contextual Account of Background Knowledge in Categorization: Implications for Artificial General Intelligence and Cognitive Accounts of General Knowledge.分类中背景知识的功能情境解释：对通用人工智能和常识认知解释的启示。
Front Psychol. 2022 Mar 2;13:745306. doi: 10.3389/fpsyg.2022.745306. eCollection 2022.
9
Predicting Slurry Pressure Balance with a Long Short-Term Memory Recurrent Neural Network in Difficult Ground Condition.在复杂地质条件下使用长短期记忆循环神经网络预测泥浆压力平衡
Comput Intell Neurosci. 2021 Feb 20;2021:6678355. doi: 10.1155/2021/6678355. eCollection 2021.
10
Sea Clutter Suppression Method of HFSWR Based on RBF Neural Network Model Optimized by Improved GWO Algorithm.基于改进灰狼算法优化的径向基函数神经网络模型的高频地波雷达海杂波抑制方法
Comput Intell Neurosci. 2020 Nov 12;2020:8842390. doi: 10.1155/2020/8842390. eCollection 2020.
Zotero 插件