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Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1677-1
● MSWNet was proposed to classify municipal solid waste.
Keywords: Municipal solid waste sorting Deep residual network Transfer learning Cyclic learning rate Visualization
Amit SHIULY; Debabrata DUTTA; Achintya MONDAL
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 3, Pages 347-358 doi: 10.1007/s11709-022-0819-z
Keywords: support vector machine deep convolutional neural network microscope digital image curing period
Machine vision-based automatic fruit quality detection and grading
Frontiers of Agricultural Science and Engineering doi: 10.15302/J-FASE-2023532
● A machine vision-based prototype system was developed for fruit grading
Keywords: Computer and machine vision convolution neural network deep learning defective fruit detection fruit
Adversarial Attacks and Defenses in Deep Learning Feature Article
Kui Ren, Tianhang Zheng, Zhan Qin, Xue Liu
Engineering 2020, Volume 6, Issue 3, Pages 346-360 doi: 10.1016/j.eng.2019.12.012
With the rapid developments of artificial intelligence (AI) and deep learning (DL) techniques, itbr />
Hence, adversarial attack and defense techniques have attracted increasing attention from both machine
learning and security communities and have become a hot research topic in recent years.
Keywords: Machine learning Deep neural network Adversarial example Adversarial attack Adversarial defense
Physics-Informed Deep Learning-Based Real-Time Structural Response Prediction Method
Ying Zhou,Shiqiao Meng,Yujie Lou,Qingzhao Kong,
Engineering doi: 10.1016/j.eng.2023.08.011
Keywords: response prediction Physics information informed Real-time prediction Earthquake engineering Data-driven machinelearning
Spatial prediction of soil contamination based on machine learning: a review
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1693-1
● A review of machine learning (ML) for spatial prediction of soil
Keywords: Soil contamination Machine learning Prediction Spatial distribution
Elucidate long-term changes of ozone in Shanghai based on an integrated machine learning method
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 11, doi: 10.1007/s11783-023-1738-5
● A novel integrated machine learning method to analyze O3
Keywords: Ozone Integrated method Machine learning
Diffractive Deep Neural Networks at Visible Wavelengths Article
Hang Chen, Jianan Feng, Minwei Jiang, Yiqun Wang, Jie Lin, Jiubin Tan, Peng Jin
Engineering 2021, Volume 7, Issue 10, Pages 1485-1493 doi: 10.1016/j.eng.2020.07.032
Optical deep learning based on diffractive optical elements offers unique advantages for parallelOne landmark method is the diffractive deep neural network (D2NN) based on three-dimensional printing
Keywords: Optical computation Optical neural networks Deep learning Optical machine learning Diffractive deep
State-of-the-art applications of machine learning in the life cycle of solid waste management
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 4, doi: 10.1007/s11783-023-1644-x
● State-of-the-art applications of machine learning (ML) in solid waste
Keywords: Machine learning (ML) Solid waste (SW) Bibliometrics SW management Energy utilization Life cycle
Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2, Pages 183-197 doi: 10.1007/s11705-021-2073-7
Keywords: machine learning flowsheet simulations constraints exploration
Current applications of artificial intelligence for intraoperative decision support in surgery
Allison J. Navarrete-Welton, Daniel A. Hashimoto
Frontiers of Medicine 2020, Volume 14, Issue 4, Pages 369-381 doi: 10.1007/s11684-020-0784-7
Keywords: artificial intelligence decision support clinical decision support systems intraoperative deep learning computer vision machine learning surgery
Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework
Frontiers of Structural and Civil Engineering Pages 994-1010 doi: 10.1007/s11709-023-0942-5
Keywords: dynamic prediction moving trajectory pipe jacking GRU deep learning
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0673-7
Keywords: deep reinforcement learning hyper parameter optimization convolutional neural network fault diagnosis
Evaluation and prediction of slope stability using machine learning approaches
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4, Pages 821-833 doi: 10.1007/s11709-021-0742-8
Keywords: slope stability factor of safety regression machine learning repeated cross-validation
Machine learning in building energy management: A critical review and future directions
Frontiers of Engineering Management 2022, Volume 9, Issue 2, Pages 239-256 doi: 10.1007/s42524-021-0181-1
Keywords: building energy management machine learning integrated framework knowledge evolution
Title Author Date Type Operation
MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal
Journal Article
Assessing compressive strengths of mortar and concrete from digital images by machine learning techniques
Amit SHIULY; Debabrata DUTTA; Achintya MONDAL
Journal Article
Adversarial Attacks and Defenses in Deep Learning
Kui Ren, Tianhang Zheng, Zhan Qin, Xue Liu
Journal Article
Physics-Informed Deep Learning-Based Real-Time Structural Response Prediction Method
Ying Zhou,Shiqiao Meng,Yujie Lou,Qingzhao Kong,
Journal Article
Elucidate long-term changes of ozone in Shanghai based on an integrated machine learning method
Journal Article
Diffractive Deep Neural Networks at Visible Wavelengths
Hang Chen, Jianan Feng, Minwei Jiang, Yiqun Wang, Jie Lin, Jiubin Tan, Peng Jin
Journal Article
State-of-the-art applications of machine learning in the life cycle of solid waste management
Journal Article
Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet
Journal Article
Current applications of artificial intelligence for intraoperative decision support in surgery
Allison J. Navarrete-Welton, Daniel A. Hashimoto
Journal Article
Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework
Journal Article
A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis
Journal Article