An efficient classification system for excavated soils using soil image deep learning and TDR cone penetration test

Zhan, Liangtong; Guo, Qimeng; Chen, Yunmin; Wang, Shun-yu; Tian, Feng; Yi, Baolian; Wu, Jian-jun; Yin, Zhen‐Yu

doi:10.1016/j.compgeo.2022.105207

Cited by 9 publications

(2 citation statements)

References 29 publications

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“…The initial learning rate of VGG16 and ResNet18 are both 0.0001. 32 The VGG16 and ResNet18 model network architecture details are provided in the Supporting Information. Using the strategy of natural learning rate reduction, 33−35 it can be seen that the loss value of the VGG16 model basically remains stable after undergoing 60 epoch training with no significant increase in accuracy.…”

Section: Machine Learning Resultsmentioning

confidence: 99%

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Room-Temperature Smart Sensor Based on Indium Acetate-Functionalized Perovskite CsPbBr₃ Nanocrystals for Monitoring Electrolyte in Lithium-Ion Batteries

Gao,

Zhuang,

Gao

et al. 2024

ACS Appl. Mater. Interfaces

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Monitoring electrolyte components is an effective means of determining the safety status of lithium-ion batteries. In this study, indium acetate was taken as a ligand to functionalize perovskite CsPbBr 3 nanocrystals, and then the room-temperature electrolyte sensor based on CsPbBr 3 nanocrystals with ligand indium acetate was prepared. The sensor offers high response, longterm stability (21 days), and low detection limits for ethyl methyl carbonate (10 ppm), diethyl carbonate (10 ppm), and ethyl butyrate (1 ppm) gases at room temperature and boasts a fast response/recovery time (1500 ppm, 58.27/103.82 s, 33.58/40.62 s, and 45.05/103.08 s, respectively). Density functional theory results show that the gas sensitivity comes from the adsorption of an electrolyte, which changes the density-of-state distribution so that the electrical response curve changes. And using computational fluid dynamics simulation, it was found that the time required for gas detection by the built-in sensor (3.1 s) was 8.7 times shorter than that of the implantable sensor. This work provides inspiration and rationale for embedding and integrating room-temperature sensors into lithium-ion batteries to monitor safety and health conditions.

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Section: Machine Learning Resultsmentioning

confidence: 99%

“…As shown in Figure b, the change values of training loss and validation loss are in the model training process. The initial learning rate of VGG16 and ResNet18 are both 0.0001 . The VGG16 and ResNet18 model network architecture details are provided in the Supporting Information.…”

Section: Results and Discussionmentioning

confidence: 99%

Room-Temperature Smart Sensor Based on Indium Acetate-Functionalized Perovskite CsPbBr₃ Nanocrystals for Monitoring Electrolyte in Lithium-Ion Batteries

Gao,

Zhuang,

Gao

et al. 2024

ACS Appl. Mater. Interfaces

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Artificial Intelligence and Deep Learning in Civil Engineering

Ocak

Niğdeli

Bekdaş

et al. 2023

Studies in Systems, Decision and Control

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Effect of soil consolidation on the interface direct shear behavior of excavated clay soil reinforced with a geocomposite drainage layer

Wang,

Hu,

Qian

et al. 2024

Bull Eng Geol Environ

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An efficient classification system for excavated soils using soil image deep learning and TDR cone penetration test

Cited by 9 publications

References 29 publications

Room-Temperature Smart Sensor Based on Indium Acetate-Functionalized Perovskite CsPbBr₃ Nanocrystals for Monitoring Electrolyte in Lithium-Ion Batteries

Room-Temperature Smart Sensor Based on Indium Acetate-Functionalized Perovskite CsPbBr₃ Nanocrystals for Monitoring Electrolyte in Lithium-Ion Batteries

Artificial Intelligence and Deep Learning in Civil Engineering

Effect of soil consolidation on the interface direct shear behavior of excavated clay soil reinforced with a geocomposite drainage layer

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An efficient classification system for excavated soils using soil image deep learning and TDR cone penetration test

Cited by 9 publications

References 29 publications

Room-Temperature Smart Sensor Based on Indium Acetate-Functionalized Perovskite CsPbBr3 Nanocrystals for Monitoring Electrolyte in Lithium-Ion Batteries

Room-Temperature Smart Sensor Based on Indium Acetate-Functionalized Perovskite CsPbBr3 Nanocrystals for Monitoring Electrolyte in Lithium-Ion Batteries

Artificial Intelligence and Deep Learning in Civil Engineering

Effect of soil consolidation on the interface direct shear behavior of excavated clay soil reinforced with a geocomposite drainage layer

Contact Info

Product

Resources

About

Room-Temperature Smart Sensor Based on Indium Acetate-Functionalized Perovskite CsPbBr₃ Nanocrystals for Monitoring Electrolyte in Lithium-Ion Batteries

Room-Temperature Smart Sensor Based on Indium Acetate-Functionalized Perovskite CsPbBr₃ Nanocrystals for Monitoring Electrolyte in Lithium-Ion Batteries