Data-driven algorithm for temperature predictions and corrections from low-resolution thermal images at fire scenes
An accurate and efficient temperature measurement at fire scenes is crucial for structural safety predictions and fire emergency responses. The application of thermal images provides advantages of spatial and stable measurements over thermocouples. A data-driven algorithmic system for temperature me...
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| Vydáno v: | Expert systems with applications Ročník 282; s. 127771 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier Ltd
05.07.2025
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| Témata: | |
| ISSN: | 0957-4174 |
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| Abstract | An accurate and efficient temperature measurement at fire scenes is crucial for structural safety predictions and fire emergency responses. The application of thermal images provides advantages of spatial and stable measurements over thermocouples. A data-driven algorithmic system for temperature measurement is proposed, utilizing thermal images and comprising a sequence of resolution enhancements, temperature predictions, and error corrections. The system starts with transformation of low-resolution images to super-resolution ones through convolutional neural networks (CNN) with hybrid scaling factors and attention fusion post-residual blocks. The temperatures are predicted from super-resolution thermal images based on cascade feedforward neural networks (CFNN) using a two-stage temperature division strategy. The errors of temperature predictions are corrected by comparing results between thermal images and thermocouples. The effectiveness, influencing factor and optimization strategy of the proposed system are validated through a series of large-scale fire tests. The mean absolute errors of temperature prediction models are within 20 °C, while over 70 % of error correction results are within ±30 °C. The proposed algorithm provides an effective tool to predict and correct temperature fields, aiming at a fast and smart fire emergency decision-making. |
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| AbstractList | An accurate and efficient temperature measurement at fire scenes is crucial for structural safety predictions and fire emergency responses. The application of thermal images provides advantages of spatial and stable measurements over thermocouples. A data-driven algorithmic system for temperature measurement is proposed, utilizing thermal images and comprising a sequence of resolution enhancements, temperature predictions, and error corrections. The system starts with transformation of low-resolution images to super-resolution ones through convolutional neural networks (CNN) with hybrid scaling factors and attention fusion post-residual blocks. The temperatures are predicted from super-resolution thermal images based on cascade feedforward neural networks (CFNN) using a two-stage temperature division strategy. The errors of temperature predictions are corrected by comparing results between thermal images and thermocouples. The effectiveness, influencing factor and optimization strategy of the proposed system are validated through a series of large-scale fire tests. The mean absolute errors of temperature prediction models are within 20 °C, while over 70 % of error correction results are within ±30 °C. The proposed algorithm provides an effective tool to predict and correct temperature fields, aiming at a fast and smart fire emergency decision-making. |
| ArticleNumber | 127771 |
| Author | Chen, Wei Jiang, Jian Ye, Jihong Dong, Yichuan |
| Author_xml | – sequence: 1 givenname: Yichuan orcidid: 0009-0009-6994-0061 surname: Dong fullname: Dong, Yichuan – sequence: 2 givenname: Jian orcidid: 0000-0001-8021-9851 surname: Jiang fullname: Jiang, Jian email: jian.jiang@cumt.edu.cn – sequence: 3 givenname: Wei surname: Chen fullname: Chen, Wei – sequence: 4 givenname: Jihong surname: Ye fullname: Ye, Jihong |
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| Cites_doi | 10.1007/s10765-014-1709-y 10.1016/j.eswa.2023.123111 10.1016/j.conbuildmat.2022.128862 10.1016/j.istruc.2021.02.008 10.1088/1361-6501/ac09b2 10.1016/j.firesaf.2013.01.006 10.1016/j.jobe.2024.109592 10.1016/j.jcsr.2018.08.020 10.1016/j.eswa.2019.03.030 10.1016/j.eswa.2020.114450 10.1007/978-3-030-11021-5_5 10.1016/j.jobe.2024.110228 10.29207/resti.v6i2.3934 10.1016/j.eswa.2023.121650 10.1109/ACCESS.2017.2769687 10.1111/mice.12022 10.1016/j.eswa.2024.124758 10.3390/app12094131 10.1007/s10765-013-1476-1 10.1016/j.eswa.2022.117356 10.1016/j.eswa.2024.125428 10.1016/j.infrared.2018.09.022 10.1016/j.firesaf.2023.103746 10.1016/j.eswa.2023.121997 10.1109/JSEN.2021.3055757 10.1016/j.eswa.2023.120392 10.1109/TCSVT.2018.2864777 10.1016/j.tsep.2023.102319 10.1080/2374068X.2022.2091085 10.3390/en13061487 10.1016/j.autcon.2021.103829 10.1016/j.infrared.2019.103020 10.1016/j.eswa.2023.122494 10.1109/TPAMI.2020.2982166 10.3390/electronics11050757 10.1007/s11760-022-02421-x 10.1111/mice.12792 10.1016/j.eswa.2022.118898 10.1016/j.eswa.2024.125247 10.1016/j.firesaf.2019.04.006 10.1007/978-3-030-67070-2_3 10.1016/j.energy.2022.126321 10.1016/j.infrared.2014.05.001 10.1109/TIP.2003.819861 10.1016/j.jobe.2022.105499 10.1016/j.firesaf.2022.103577 10.1016/j.engstruct.2023.117417 10.1016/j.eswa.2023.119899 10.1007/978-3-319-10593-2_13 |
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| Keywords | Temperature prediction Data-driven Super-resolution thermal image Temperature correction CFNN |
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| References | Concha (b0155) 2024; 237 Shi, Liu, Zhu, Pan, Sun, Wang (b0370) 2014; 35 Zhang, Wang, Zhao (b0195) 2021; 54 Shan, Huang, Hong, Zhao, Wang, Kong (b0225) 2020; 13 Puliti, Montaggioli, Sabato (b0020) 2021; 129 Woo, Park, Lee, Kweon (b0290) 2018 Huang, Li, Li, Zhou (b0105) 2021; 169 Jiang, Wang, Lou, Li (b0335) 2018; 150 (Vol. 6279). Feng, Sun (b0165) 2024; 240 Wang, Bovik, Sheikh, Simoncelli (b0275) 2004; 13 Wang, Fan, Sun (b0175) 2024; 125806 Nitesh (b0380) 2002; 16 Gao, Zhou (b0090) 2023; 213 Mao, Shen, Yang (b0095) 2016 Chen, Y., **a, R., Yang, K., & Zou, K. (2024). MICU: Image super-resolution via multi-level information compensation and U-net. Wang, Chen, Hoi (b0260) 2020; 43 Xu, Zhao, Wang, Liu (b0185) 2013; 56 Song, Xiao, Tian, Hu, You, Zhang (b0310) 2022; 11 Lou, Hou, Qi, Jiang, Zhong, Pang, Li (b0340) 2024; 302 Ismail, Yefriadi, Yuhefizar, Hendri (b0305) 2022; 6 Cao, Zhang, Yang (b0205) 2024; 44 (pp. 56-72). Springer International Publishing. He, Tang, Yang, Cao, Yang, Cao (b0120) 2018; 29 Lupion, Polo-Rodriguez, Medina-Quero, Sanjuan, Ortigosa (b0045) 2022; 203 Naik, Hegde, Giri (b0215) 2024; 95 Shen, Zhang, Xing (b0055) 2018; 94 123111. Wang, X., Yu, K., Wu, S., Gu, J., Liu, Y., Dong, C., ... & Change Loy, C. (2018). Esrgan: Enhanced super-resolution generative adversarial networks. In Song, Wang, Ge, Li, Lu, An (b0250) 2024; 47 , Yu, Ning, Peng, Haoyang, Wei, Dajian, Xiaonan (b0200) 2021; 61 0-0. Shi, Pan, Zhu, Sun (b0375) 2013; 34 Chen, Yang, Chen, Zhang, Gan (b0160) 2024; 238 Manoreken (2024). ESRGAN Single Image Super Resolution Matlab port (https://www.mathworks.com/matlabcentral/fileexchange/111175-esrgan-single-image-super-resolution-matlab-port), MATLAB Central File Exchange. Wang, Yu, Wu, Gu, Liu, Dong, Change Loy (b0315) 2018 Ji, Li, Zhu, Li, Qi, Wang (b0150) 2024; 255 Guo, Zhu, Schaefer, Ding, Fang (b0065) 2024; 258 Pan, Jiang, Maldague, Gui (b0190) 2021; 21 Jebadurai, Jebadurai, Paulraj, Samuel (b0285) 2019; 8 Dong, Jiang, Wang, Chen, Ye (b0345) 2024; 20 Hou, X., Zhao, W., & Yao, B. (2007, January). 27th International Congress on High-Speed Photography and Photonics. In Kansal, Nathan (b0035) 2020 Prajapati, Chudasama, Patel, Sarvaiya, Upla, Raja, Busch (b0125) 2021 Dong, C., Loy, C. C., He, K., & Tang, X. (2014). Learning a deep convolutional network for image super-resolution. In Choi, Kim, Hwang, Kweon (b0265) 2016 Chen, Zhai, Wang, Hu, Chen (b0040) 2016 Khan, Iqbal, Jalal, Amin, Alam, Bardhan (b0360) 2022; 352 Hwang, Park, Kim, Choi, So Kweon (b0115) 2015 Chinchanikar, Shinde, Gaikwad, Shaikh, Rondhe, Naik (b0355) 2024; 10 Pan, Zhang (b0245) 2022; 37 Zhou, Zheng, Sun (b0100) 2023; 229 Zhao, Liao, Huang, Lu (b0170) 2023; 63 Mnoreken (2024). EDSR (Enhanced Deep Super-Resolution) Matlab port (https://www.mathworks.com/matlabcentral/fileexchange/87799-edsr-enhanced-deep-super-resolution-matlab-port), MATLAB Central File Exchange. Tam, Fu, Li, Peacock, Reneke, Ngai, Huang (b0145) 2023; 223 Lu, Mei, Qiu, Li, Hao, Xu, Tang (b0070) 2025; 261 Zhang, Li, Li, Wang, Zhong, Fu (b0240) 2018 Lim, Son, Kim, Nah, Mu Lee (b0295) 2017 Zhang, Wang, Fu, Yan, Kong (b0050) 2019; 102 Nathan, Kansal (b0015) 2021 184-199. Rivadeneira, Sappa, Vintimilla (b0110) 2020; 4 Yin, Li, Wang, Li, Tian, Niu (b0210) 2024; 91 Zamarripa-Ramírez, Moreno-Hernández, Martinez-Gonzalez (b0230) 2021; 32 Gendy, Hou, Sabor, He (b0085) 2024; 125683 Sousa, Moutinho, Almeida (b0025) 2019; 129 Kim, Sunderland (b0135) 2019; 106 Cheng, Chen, Liao, Zhou (b0235) 2022; 12 Hu, Shen, Sun (b0330) 2018 Shi, Zou, Wang, Zhu, Sun (b0365) 2014; 66 Baldwin, Sunderland (b0130) 2023; 136 Sun, Liu, Xu, Xu (b0180) 2022; 130 Sun, Ye (b0255) 2024 Lee, Lee, Lee, Hwang, Lee (b0270) 2017; 5 Li, Wei, Li, Pang, Chen, Sun (b0220) 2023; 265 Hu, Nan, Zhou, Lin, Shen (b0030) 2024; 125639 Pallares-Munoz, Paya-Zaforteza, Hospitaler (b0010) 2021; 31 Lundberg, Lee (b0350) 2017 Luo, Ibrahim, Ismail, Xu (b0005) 2013; 28 Zhang, Hu, Yan, Ma (b0060) 2023; 17 Zhao, H., Kong, X., He, J., Qiao, Y., & Dong, C. (2020). Efficient image super-resolution using pixel attention. In Zhang (10.1016/j.eswa.2025.127771_b0195) 2021; 54 Pan (10.1016/j.eswa.2025.127771_b0245) 2022; 37 Rivadeneira (10.1016/j.eswa.2025.127771_b0110) 2020; 4 Pan (10.1016/j.eswa.2025.127771_b0190) 2021; 21 Jiang (10.1016/j.eswa.2025.127771_b0335) 2018; 150 Yin (10.1016/j.eswa.2025.127771_b0210) 2024; 91 Zhang (10.1016/j.eswa.2025.127771_b0050) 2019; 102 Puliti (10.1016/j.eswa.2025.127771_b0020) 2021; 129 Kansal (10.1016/j.eswa.2025.127771_b0035) 2020 Lee (10.1016/j.eswa.2025.127771_b0270) 2017; 5 Tam (10.1016/j.eswa.2025.127771_b0145) 2023; 223 Song (10.1016/j.eswa.2025.127771_b0250) 2024; 47 Song (10.1016/j.eswa.2025.127771_b0310) 2022; 11 10.1016/j.eswa.2025.127771_b0300 Gao (10.1016/j.eswa.2025.127771_b0090) 2023; 213 Jebadurai (10.1016/j.eswa.2025.127771_b0285) 2019; 8 Dong (10.1016/j.eswa.2025.127771_b0345) 2024; 20 Nathan (10.1016/j.eswa.2025.127771_b0015) 2021 Shen (10.1016/j.eswa.2025.127771_b0055) 2018; 94 10.1016/j.eswa.2025.127771_b0140 Wang (10.1016/j.eswa.2025.127771_b0315) 2018 Zhou (10.1016/j.eswa.2025.127771_b0100) 2023; 229 Wang (10.1016/j.eswa.2025.127771_b0275) 2004; 13 Xu (10.1016/j.eswa.2025.127771_b0185) 2013; 56 Lu (10.1016/j.eswa.2025.127771_b0070) 2025; 261 Baldwin (10.1016/j.eswa.2025.127771_b0130) 2023; 136 Sun (10.1016/j.eswa.2025.127771_b0255) 2024 Lim (10.1016/j.eswa.2025.127771_b0295) 2017 Chen (10.1016/j.eswa.2025.127771_b0040) 2016 Zhang (10.1016/j.eswa.2025.127771_b0240) 2018 Pallares-Munoz (10.1016/j.eswa.2025.127771_b0010) 2021; 31 Lupion (10.1016/j.eswa.2025.127771_b0045) 2022; 203 Lou (10.1016/j.eswa.2025.127771_b0340) 2024; 302 Luo (10.1016/j.eswa.2025.127771_b0005) 2013; 28 Zamarripa-Ramírez (10.1016/j.eswa.2025.127771_b0230) 2021; 32 10.1016/j.eswa.2025.127771_b0280 Wang (10.1016/j.eswa.2025.127771_b0260) 2020; 43 10.1016/j.eswa.2025.127771_b0080 Cheng (10.1016/j.eswa.2025.127771_b0235) 2022; 12 Kim (10.1016/j.eswa.2025.127771_b0135) 2019; 106 Shi (10.1016/j.eswa.2025.127771_b0365) 2014; 66 Ji (10.1016/j.eswa.2025.127771_b0150) 2024; 255 Mao (10.1016/j.eswa.2025.127771_b0095) 2016 Sousa (10.1016/j.eswa.2025.127771_b0025) 2019; 129 Chen (10.1016/j.eswa.2025.127771_b0160) 2024; 238 Li (10.1016/j.eswa.2025.127771_b0220) 2023; 265 10.1016/j.eswa.2025.127771_b0325 Concha (10.1016/j.eswa.2025.127771_b0155) 2024; 237 10.1016/j.eswa.2025.127771_b0320 Feng (10.1016/j.eswa.2025.127771_b0165) 2024; 240 Chinchanikar (10.1016/j.eswa.2025.127771_b0355) 2024; 10 Zhao (10.1016/j.eswa.2025.127771_b0170) 2023; 63 He (10.1016/j.eswa.2025.127771_b0120) 2018; 29 Shi (10.1016/j.eswa.2025.127771_b0370) 2014; 35 Choi (10.1016/j.eswa.2025.127771_b0265) 2016 Yu (10.1016/j.eswa.2025.127771_b0200) 2021; 61 Gendy (10.1016/j.eswa.2025.127771_b0085) 2024; 125683 Nitesh (10.1016/j.eswa.2025.127771_b0380) 2002; 16 Lundberg (10.1016/j.eswa.2025.127771_b0350) 2017 Naik (10.1016/j.eswa.2025.127771_b0215) 2024; 95 Hu (10.1016/j.eswa.2025.127771_b0030) 2024; 125639 Prajapati (10.1016/j.eswa.2025.127771_b0125) 2021 Khan (10.1016/j.eswa.2025.127771_b0360) 2022; 352 Guo (10.1016/j.eswa.2025.127771_b0065) 2024; 258 Woo (10.1016/j.eswa.2025.127771_b0290) 2018 Ismail (10.1016/j.eswa.2025.127771_b0305) 2022; 6 Zhang (10.1016/j.eswa.2025.127771_b0060) 2023; 17 Cao (10.1016/j.eswa.2025.127771_b0205) 2024; 44 Hwang (10.1016/j.eswa.2025.127771_b0115) 2015 Sun (10.1016/j.eswa.2025.127771_b0180) 2022; 130 Shi (10.1016/j.eswa.2025.127771_b0375) 2013; 34 Huang (10.1016/j.eswa.2025.127771_b0105) 2021; 169 Shan (10.1016/j.eswa.2025.127771_b0225) 2020; 13 10.1016/j.eswa.2025.127771_b0075 Wang (10.1016/j.eswa.2025.127771_b0175) 2024; 125806 Hu (10.1016/j.eswa.2025.127771_b0330) 2018 |
| References_xml | – start-page: 1037 year: 2015 end-page: 1045 ident: b0115 article-title: Multispectral pedestrian detection: Benchmark dataset and baseline – volume: 20 start-page: 169 year: 2024 end-page: 178 ident: b0345 article-title: Super-resolution reconstruction and high-precision temperature measurement of thermal images under high temperature scenes based on neural network – reference: , 184-199. – volume: 125806 year: 2024 ident: b0175 article-title: Classification of sewer pipe defects based on an automatically designed convolutional neural network – volume: 37 start-page: 1468 year: 2022 end-page: 1487 ident: b0245 article-title: Dual attention deep learning network for automatic steel surface defect segmentation – volume: 35 start-page: 1545 year: 2014 end-page: 1556 ident: b0370 article-title: Study on relationships between the spectral emissivity of DC01 steel and temperature in an oxidizing environment – reference: Mnoreken (2024). EDSR (Enhanced Deep Super-Resolution) Matlab port (https://www.mathworks.com/matlabcentral/fileexchange/87799-edsr-enhanced-deep-super-resolution-matlab-port), MATLAB Central File Exchange. – volume: 44 start-page: 209 year: 2024 end-page: 216 ident: b0205 article-title: Research on key technologies of uncooled infrared thermal imaging temperature measurement – reference: , 0-0. – volume: 10 start-page: 22 year: 2024 end-page: 32 ident: b0355 article-title: ANN modelling of surface roughness of FDM parts considering the effect of hidden layers, neurons, and process parameters – volume: 12 start-page: 4131 year: 2022 ident: b0235 article-title: Multi-scale factor image super-resolution algorithm with information distillation network – volume: 213 year: 2023 ident: b0090 article-title: A very lightweight and efficient image super-resolution network – volume: 13 start-page: 1487 year: 2020 ident: b0225 article-title: Temperature measurement method of flame image fusion with different exposures – volume: 94 start-page: 207 year: 2018 end-page: 213 ident: b0055 article-title: The study on the measurement accuracy of non-steady state temperature field under different emissivity using infrared thermal image – volume: 237 year: 2024 ident: b0155 article-title: A robust carbonation depth model in recycled aggregate concrete (RAC) using neural network – start-page: 1 year: 2024 end-page: 30 ident: b0255 article-title: Research on Quantitative Assessment Method for Fire Spread Risk in Enclosed Buildings – reference: Chen, Y., **a, R., Yang, K., & Zou, K. (2024). MICU: Image super-resolution via multi-level information compensation and U-net. – start-page: 1 year: 2016 end-page: 4 ident: b0040 article-title: Color guided thermal image super resolution – start-page: 286 year: 2018 end-page: 301 ident: b0240 article-title: Image super-resolution using very deep residual channel attention networks – volume: 34 start-page: 1100 year: 2013 end-page: 1109 ident: b0375 article-title: Effect on the spectral emissivity of SPHC steel by surface oxidization – volume: 4 start-page: 111 year: 2020 end-page: 119 ident: b0110 article-title: Thermal Image Super-resolution: A Novel Architecture and Dataset – volume: 136 year: 2023 ident: b0130 article-title: Ratio pyrometry of emulated firebrand streaks – volume: 54 start-page: 763 year: 2021 end-page: 770 ident: b0195 article-title: Influences of target distance and angle on temperature measurement accuracy of infrared thermal imager – volume: 11 start-page: 757 year: 2022 ident: b0310 article-title: A Dual CNN for Image Super-Resolution – reference: Manoreken (2024). ESRGAN Single Image Super Resolution Matlab port (https://www.mathworks.com/matlabcentral/fileexchange/111175-esrgan-single-image-super-resolution-matlab-port), MATLAB Central File Exchange. – volume: 106 start-page: 88 year: 2019 end-page: 93 ident: b0135 article-title: Fire ember pyrometry using a color camera – volume: 13 start-page: 600 year: 2004 end-page: 612 ident: b0275 article-title: Image quality assessment: From error visibility to structural similarity – start-page: 29 year: 2016 ident: b0095 article-title: Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections – start-page: 7132 year: 2018 end-page: 7141 ident: b0330 article-title: Squeeze-and-excitation networks publication-title: Proceedings of the IEEE conference on computer vision and pattern recognition – volume: 258 year: 2024 ident: b0065 article-title: Self-supervised memory learning for scene text image super-resolution – reference: Dong, C., Loy, C. C., He, K., & Tang, X. (2014). Learning a deep convolutional network for image super-resolution. In – volume: 265 year: 2023 ident: b0220 article-title: Application of infrared thermal imaging technique in in-situ temperature field measurement of hydrate-bearing sediment under thermal stimulation – reference: Hou, X., Zhao, W., & Yao, B. (2007, January). 27th International Congress on High-Speed Photography and Photonics. In – start-page: 4332 year: 2021 end-page: 4338 ident: b0015 article-title: Leveraging multi scale backbone with multilevel supervision for thermal image super resolution – volume: 28 start-page: 531 year: 2013 end-page: 541 ident: b0005 article-title: Optimization of the geometries of biconical tapered fiber sensors for monitoring the early‐age curing temperatures of concrete specimens – volume: 95 year: 2024 ident: b0215 article-title: A novel method based on thermal imaging and FEA simulation for depth prediction of internal defects in concrete slabs – start-page: 223 year: 2016 end-page: 230 ident: b0265 article-title: Thermal image enhancement using convolutional neural network – start-page: 136 year: 2017 end-page: 144 ident: b0295 article-title: Enhanced deep residual networks for single image super-resolution – reference: , 123111. – volume: 150 start-page: 277 year: 2018 end-page: 287 ident: b0335 article-title: Quantitative evaluation of progressive collapse process of steel portal frames in fire – volume: 47 year: 2024 ident: b0250 article-title: Study on flame height and temperature distribution of double-deck bridge fire based on large-scale fire experiments – volume: 8 year: 2019 ident: b0285 article-title: Learning based resolution enhancement of digital images – volume: 66 start-page: 6 year: 2014 end-page: 12 ident: b0365 article-title: Effect of surface oxidization on the spectral emissivity of steel 304 at the elevated temperature in air – volume: 56 start-page: 74 year: 2013 end-page: 80 ident: b0185 article-title: Prediction of temperature of tubular truss under fire using artificial neural networks – volume: 102 year: 2019 ident: b0050 article-title: An experimental method for improving temperature measurement accuracy of infrared thermal imager – volume: 203 year: 2022 ident: b0045 article-title: On the limits of Conditional Generative Adversarial Neural Networks to reconstruct the identification of inhabitants from IoT low-resolution thermal sensors – volume: 240 year: 2024 ident: b0165 article-title: Multiscale network based on feature fusion for fire disaster detection in complex scenes – volume: 129 start-page: 216 year: 2019 end-page: 232 ident: b0025 article-title: Classification of potential fire outbreaks: A fuzzy modeling approach based on thermal images – reference: , – start-page: 3 year: 2018 end-page: 19 ident: b0290 article-title: Cbam: Convolutional block attention module – start-page: 30 year: 2017 ident: b0350 article-title: A unified approach to interpreting model predictions – reference: (pp. 56-72). Springer International Publishing. – volume: 129 year: 2021 ident: b0020 article-title: Automated subsurface defects' detection using point cloud reconstruction from infrared images – volume: 43 start-page: 3365 year: 2020 end-page: 3387 ident: b0260 article-title: Deep learning for image super-resolution: A survey publication-title: IEEE transactions on pattern analysis and machine intelligence – volume: 238 year: 2024 ident: b0160 article-title: Tempnet: A graph convolutional network for temperature field prediction of fire-damaged concrete – volume: 16 start-page: 321 year: 2002 ident: b0380 article-title: SMOTE: Synthetic minority over‐sampling technique – volume: 261 year: 2025 ident: b0070 article-title: Information sparsity guided transformer for multi-modal medical image super-resolution – volume: 223 year: 2023 ident: b0145 article-title: Real-time flashover prediction model for multi-compartment building structures using attention based recurrent neural networks – volume: 63 year: 2023 ident: b0170 article-title: Intelligent beam layout design for frame structure based on graph neural networks – volume: 21 start-page: 10546 year: 2021 end-page: 10555 ident: b0190 article-title: Research on the influence of multiple interference factors on infrared temperature measurement – reference: Zhao, H., Kong, X., He, J., Qiao, Y., & Dong, C. (2020). Efficient image super-resolution using pixel attention. In – reference: Wang, X., Yu, K., Wu, S., Gu, J., Liu, Y., Dong, C., ... & Change Loy, C. (2018). Esrgan: Enhanced super-resolution generative adversarial networks. In – volume: 130 year: 2022 ident: b0180 article-title: BP neural network-based adaptive spatial-temporal data generation technology for predicting ceiling temperature in tunnel fire and full-scale experimental verification – volume: 29 start-page: 2310 year: 2018 end-page: 2322 ident: b0120 article-title: Cascaded deep networks with multiple receptive fields for infrared image super-resolution – volume: 229 year: 2023 ident: b0100 article-title: Cross-scale collaborative network for single image super resolution – year: 2018 ident: b0315 article-title: Esrgan: Enhanced super-resolution generative adversarial networks – volume: 5 start-page: 26867 year: 2017 end-page: 26879 ident: b0270 article-title: Brightness-based convolutional neural network for thermal image enhancement – volume: 17 start-page: 2073 year: 2023 end-page: 2081 ident: b0060 article-title: Thermal image super-resolution via multi-path residual attention network – start-page: 94 year: 2020 end-page: 95 ident: b0035 article-title: A multi-level supervision model: A novel approach for thermal image super resolution – volume: 169 year: 2021 ident: b0105 article-title: Dual-path attention network for single image super-resolution – volume: 31 start-page: 462 year: 2021 end-page: 483 ident: b0010 article-title: A new methodology using beam elements for the analysis of steel frames subjected to non-uniform temperatures due to fires – volume: 255 year: 2024 ident: b0150 article-title: Machine learning-driven real-time identification of large-space building fires and forecast of temperature development – start-page: 4368 year: 2021 end-page: 4377 ident: b0125 article-title: Channel split convolutional neural network (ChaSNet) for thermal image super-resolution – volume: 302 year: 2024 ident: b0340 article-title: Experimental, numerical and analytical analysis of a single-span steel portal frame exposed to fire – volume: 61 start-page: 730 year: 2021 end-page: 737 ident: b0200 article-title: Engineering application and factors affecting infrared temperature measurements of mass concrete surfaces – volume: 352 year: 2022 ident: b0360 article-title: Hybrid ANN models for durability of GFRP rebars in alkaline concrete environment using three swarm-based optimization algorithms – volume: 125639 year: 2024 ident: b0030 article-title: A model-based infrared and visible image fusion network with cooperative optimization – volume: 32 year: 2021 ident: b0230 article-title: Simultaneous measurement of temperature and color spectrum of axisymmetric premixed flames using digital laser speckle photography and an image processing approach – volume: 125683 year: 2024 ident: b0085 article-title: Lightweight image super-resolution network based on dynamic graph message passing and convolution mixer publication-title: Expert Systems with Applications – reference: (Vol. 6279). – volume: 91 year: 2024 ident: b0210 article-title: Infrared temperature evolution law and thermal effect mechanism of concrete impact failure – volume: 6 start-page: 289 year: 2022 end-page: 294 ident: b0305 article-title: The Generating Super Resolution of Thermal Image based on Deep Learning – start-page: 29 year: 2016 ident: 10.1016/j.eswa.2025.127771_b0095 article-title: Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections – start-page: 136 year: 2017 ident: 10.1016/j.eswa.2025.127771_b0295 article-title: Enhanced deep residual networks for single image super-resolution – start-page: 3 year: 2018 ident: 10.1016/j.eswa.2025.127771_b0290 article-title: Cbam: Convolutional block attention module – volume: 35 start-page: 1545 year: 2014 ident: 10.1016/j.eswa.2025.127771_b0370 article-title: Study on relationships between the spectral emissivity of DC01 steel and temperature in an oxidizing environment publication-title: International Journal of Thermophysics doi: 10.1007/s10765-014-1709-y – start-page: 7132 year: 2018 ident: 10.1016/j.eswa.2025.127771_b0330 article-title: Squeeze-and-excitation networks – ident: 10.1016/j.eswa.2025.127771_b0080 doi: 10.1016/j.eswa.2023.123111 – volume: 352 year: 2022 ident: 10.1016/j.eswa.2025.127771_b0360 article-title: Hybrid ANN models for durability of GFRP rebars in alkaline concrete environment using three swarm-based optimization algorithms publication-title: Construction and Building Materials doi: 10.1016/j.conbuildmat.2022.128862 – volume: 31 start-page: 462 year: 2021 ident: 10.1016/j.eswa.2025.127771_b0010 article-title: A new methodology using beam elements for the analysis of steel frames subjected to non-uniform temperatures due to fires publication-title: Structures doi: 10.1016/j.istruc.2021.02.008 – volume: 32 issue: 10 year: 2021 ident: 10.1016/j.eswa.2025.127771_b0230 article-title: Simultaneous measurement of temperature and color spectrum of axisymmetric premixed flames using digital laser speckle photography and an image processing approach publication-title: Measurement Science and Technology doi: 10.1088/1361-6501/ac09b2 – volume: 56 start-page: 74 year: 2013 ident: 10.1016/j.eswa.2025.127771_b0185 article-title: Prediction of temperature of tubular truss under fire using artificial neural networks publication-title: Fire Safety Journal doi: 10.1016/j.firesaf.2013.01.006 – ident: 10.1016/j.eswa.2025.127771_b0325 – volume: 91 year: 2024 ident: 10.1016/j.eswa.2025.127771_b0210 article-title: Infrared temperature evolution law and thermal effect mechanism of concrete impact failure publication-title: Journal of Building Engineering doi: 10.1016/j.jobe.2024.109592 – volume: 150 start-page: 277 year: 2018 ident: 10.1016/j.eswa.2025.127771_b0335 article-title: Quantitative evaluation of progressive collapse process of steel portal frames in fire publication-title: Journal of Constructional Steel Research doi: 10.1016/j.jcsr.2018.08.020 – volume: 129 start-page: 216 year: 2019 ident: 10.1016/j.eswa.2025.127771_b0025 article-title: Classification of potential fire outbreaks: A fuzzy modeling approach based on thermal images publication-title: Expert systems with applications doi: 10.1016/j.eswa.2019.03.030 – volume: 169 year: 2021 ident: 10.1016/j.eswa.2025.127771_b0105 article-title: Dual-path attention network for single image super-resolution publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2020.114450 – ident: 10.1016/j.eswa.2025.127771_b0280 doi: 10.1007/978-3-030-11021-5_5 – volume: 44 start-page: 209 issue: 2 year: 2024 ident: 10.1016/j.eswa.2025.127771_b0205 article-title: Research on key technologies of uncooled infrared thermal imaging temperature measurement publication-title: Journal of Vibration, Measurement and Diagnosis – volume: 95 year: 2024 ident: 10.1016/j.eswa.2025.127771_b0215 article-title: A novel method based on thermal imaging and FEA simulation for depth prediction of internal defects in concrete slabs publication-title: Journal of Building Engineering doi: 10.1016/j.jobe.2024.110228 – volume: 6 start-page: 289 issue: 2 year: 2022 ident: 10.1016/j.eswa.2025.127771_b0305 article-title: The Generating Super Resolution of Thermal Image based on Deep Learning publication-title: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) doi: 10.29207/resti.v6i2.3934 – volume: 237 year: 2024 ident: 10.1016/j.eswa.2025.127771_b0155 article-title: A robust carbonation depth model in recycled aggregate concrete (RAC) using neural network publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2023.121650 – volume: 5 start-page: 26867 year: 2017 ident: 10.1016/j.eswa.2025.127771_b0270 article-title: Brightness-based convolutional neural network for thermal image enhancement publication-title: IEEE Access doi: 10.1109/ACCESS.2017.2769687 – volume: 28 start-page: 531 issue: 7 year: 2013 ident: 10.1016/j.eswa.2025.127771_b0005 article-title: Optimization of the geometries of biconical tapered fiber sensors for monitoring the early‐age curing temperatures of concrete specimens publication-title: Computer‐Aided Civil and Infrastructure Engineering doi: 10.1111/mice.12022 – ident: 10.1016/j.eswa.2025.127771_b0320 – start-page: 286 year: 2018 ident: 10.1016/j.eswa.2025.127771_b0240 article-title: Image super-resolution using very deep residual channel attention networks – volume: 125639 year: 2024 ident: 10.1016/j.eswa.2025.127771_b0030 article-title: A model-based infrared and visible image fusion network with cooperative optimization publication-title: Expert Systems with Applications – volume: 125683 year: 2024 ident: 10.1016/j.eswa.2025.127771_b0085 article-title: Lightweight image super-resolution network based on dynamic graph message passing and convolution mixer publication-title: Expert Systems with Applications – volume: 255 year: 2024 ident: 10.1016/j.eswa.2025.127771_b0150 article-title: Machine learning-driven real-time identification of large-space building fires and forecast of temperature development publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2024.124758 – volume: 12 start-page: 4131 issue: 9 year: 2022 ident: 10.1016/j.eswa.2025.127771_b0235 article-title: Multi-scale factor image super-resolution algorithm with information distillation network publication-title: Applied Sciences doi: 10.3390/app12094131 – ident: 10.1016/j.eswa.2025.127771_b0140 – volume: 34 start-page: 1100 year: 2013 ident: 10.1016/j.eswa.2025.127771_b0375 article-title: Effect on the spectral emissivity of SPHC steel by surface oxidization publication-title: International Journal of Thermophysics doi: 10.1007/s10765-013-1476-1 – volume: 203 year: 2022 ident: 10.1016/j.eswa.2025.127771_b0045 article-title: On the limits of Conditional Generative Adversarial Neural Networks to reconstruct the identification of inhabitants from IoT low-resolution thermal sensors publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2022.117356 – volume: 16 start-page: 321 issue: 1 year: 2002 ident: 10.1016/j.eswa.2025.127771_b0380 article-title: SMOTE: Synthetic minority over‐sampling technique publication-title: Journal of Artificial Intelligence Research – volume: 261 year: 2025 ident: 10.1016/j.eswa.2025.127771_b0070 article-title: Information sparsity guided transformer for multi-modal medical image super-resolution publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2024.125428 – volume: 94 start-page: 207 year: 2018 ident: 10.1016/j.eswa.2025.127771_b0055 article-title: The study on the measurement accuracy of non-steady state temperature field under different emissivity using infrared thermal image publication-title: Infrared Physics & Technology doi: 10.1016/j.infrared.2018.09.022 – volume: 136 year: 2023 ident: 10.1016/j.eswa.2025.127771_b0130 article-title: Ratio pyrometry of emulated firebrand streaks publication-title: Fire Safety Journal doi: 10.1016/j.firesaf.2023.103746 – start-page: 30 year: 2017 ident: 10.1016/j.eswa.2025.127771_b0350 article-title: A unified approach to interpreting model predictions – volume: 238 year: 2024 ident: 10.1016/j.eswa.2025.127771_b0160 article-title: Tempnet: A graph convolutional network for temperature field prediction of fire-damaged concrete publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2023.121997 – volume: 21 start-page: 10546 issue: 9 year: 2021 ident: 10.1016/j.eswa.2025.127771_b0190 article-title: Research on the influence of multiple interference factors on infrared temperature measurement publication-title: IEEE Sensors Journal doi: 10.1109/JSEN.2021.3055757 – volume: 229 year: 2023 ident: 10.1016/j.eswa.2025.127771_b0100 article-title: Cross-scale collaborative network for single image super resolution publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2023.120392 – volume: 29 start-page: 2310 issue: 8 year: 2018 ident: 10.1016/j.eswa.2025.127771_b0120 article-title: Cascaded deep networks with multiple receptive fields for infrared image super-resolution publication-title: IEEE transactions on circuits and systems for video technology doi: 10.1109/TCSVT.2018.2864777 – volume: 47 year: 2024 ident: 10.1016/j.eswa.2025.127771_b0250 article-title: Study on flame height and temperature distribution of double-deck bridge fire based on large-scale fire experiments publication-title: Thermal Science and Engineering Progress doi: 10.1016/j.tsep.2023.102319 – volume: 10 start-page: 22 issue: 1 year: 2024 ident: 10.1016/j.eswa.2025.127771_b0355 article-title: ANN modelling of surface roughness of FDM parts considering the effect of hidden layers, neurons, and process parameters publication-title: Advances in Materials and Processing Technologies doi: 10.1080/2374068X.2022.2091085 – volume: 54 start-page: 763 issue: 07 year: 2021 ident: 10.1016/j.eswa.2025.127771_b0195 article-title: Influences of target distance and angle on temperature measurement accuracy of infrared thermal imager publication-title: Journal of Tianjin University (Science and Technology) – volume: 13 start-page: 1487 issue: 6 year: 2020 ident: 10.1016/j.eswa.2025.127771_b0225 article-title: Temperature measurement method of flame image fusion with different exposures publication-title: Energies doi: 10.3390/en13061487 – volume: 4 start-page: 111 year: 2020 ident: 10.1016/j.eswa.2025.127771_b0110 article-title: Thermal Image Super-resolution: A Novel Architecture and Dataset publication-title: VISAPP – start-page: 223 year: 2016 ident: 10.1016/j.eswa.2025.127771_b0265 article-title: Thermal image enhancement using convolutional neural network – start-page: 4368 year: 2021 ident: 10.1016/j.eswa.2025.127771_b0125 article-title: Channel split convolutional neural network (ChaSNet) for thermal image super-resolution – volume: 129 year: 2021 ident: 10.1016/j.eswa.2025.127771_b0020 article-title: Automated subsurface defects' detection using point cloud reconstruction from infrared images publication-title: Automation in Construction doi: 10.1016/j.autcon.2021.103829 – volume: 102 year: 2019 ident: 10.1016/j.eswa.2025.127771_b0050 article-title: An experimental method for improving temperature measurement accuracy of infrared thermal imager publication-title: Infrared Physics & Technology doi: 10.1016/j.infrared.2019.103020 – volume: 240 year: 2024 ident: 10.1016/j.eswa.2025.127771_b0165 article-title: Multiscale network based on feature fusion for fire disaster detection in complex scenes publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2023.122494 – volume: 43 start-page: 3365 issue: 10 year: 2020 ident: 10.1016/j.eswa.2025.127771_b0260 article-title: Deep learning for image super-resolution: A survey publication-title: IEEE transactions on pattern analysis and machine intelligence doi: 10.1109/TPAMI.2020.2982166 – volume: 11 start-page: 757 issue: 5 year: 2022 ident: 10.1016/j.eswa.2025.127771_b0310 article-title: A Dual CNN for Image Super-Resolution publication-title: Electronics doi: 10.3390/electronics11050757 – volume: 17 start-page: 2073 issue: 5 year: 2023 ident: 10.1016/j.eswa.2025.127771_b0060 article-title: Thermal image super-resolution via multi-path residual attention network publication-title: Signal, Image and Video Processing doi: 10.1007/s11760-022-02421-x – volume: 37 start-page: 1468 issue: 11 year: 2022 ident: 10.1016/j.eswa.2025.127771_b0245 article-title: Dual attention deep learning network for automatic steel surface defect segmentation publication-title: Computer‐Aided Civil and Infrastructure Engineering doi: 10.1111/mice.12792 – volume: 8 issue: 6 year: 2019 ident: 10.1016/j.eswa.2025.127771_b0285 article-title: Learning based resolution enhancement of digital images publication-title: International Journal of Engineering and Advanced Technology – start-page: 94 year: 2020 ident: 10.1016/j.eswa.2025.127771_b0035 article-title: A multi-level supervision model: A novel approach for thermal image super resolution – volume: 213 year: 2023 ident: 10.1016/j.eswa.2025.127771_b0090 article-title: A very lightweight and efficient image super-resolution network publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2022.118898 – start-page: 4332 year: 2021 ident: 10.1016/j.eswa.2025.127771_b0015 article-title: Leveraging multi scale backbone with multilevel supervision for thermal image super resolution – volume: 258 year: 2024 ident: 10.1016/j.eswa.2025.127771_b0065 article-title: Self-supervised memory learning for scene text image super-resolution publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2024.125247 – start-page: 1 year: 2024 ident: 10.1016/j.eswa.2025.127771_b0255 article-title: Research on Quantitative Assessment Method for Fire Spread Risk in Enclosed Buildings publication-title: Fire Technology – volume: 106 start-page: 88 year: 2019 ident: 10.1016/j.eswa.2025.127771_b0135 article-title: Fire ember pyrometry using a color camera publication-title: Fire Safety Journal doi: 10.1016/j.firesaf.2019.04.006 – ident: 10.1016/j.eswa.2025.127771_b0300 doi: 10.1007/978-3-030-67070-2_3 – volume: 125806 year: 2024 ident: 10.1016/j.eswa.2025.127771_b0175 article-title: Classification of sewer pipe defects based on an automatically designed convolutional neural network publication-title: Expert Systems with Applications – volume: 265 year: 2023 ident: 10.1016/j.eswa.2025.127771_b0220 article-title: Application of infrared thermal imaging technique in in-situ temperature field measurement of hydrate-bearing sediment under thermal stimulation publication-title: Energy doi: 10.1016/j.energy.2022.126321 – volume: 66 start-page: 6 year: 2014 ident: 10.1016/j.eswa.2025.127771_b0365 article-title: Effect of surface oxidization on the spectral emissivity of steel 304 at the elevated temperature in air publication-title: Infrared Physics & Technology doi: 10.1016/j.infrared.2014.05.001 – volume: 13 start-page: 600 issue: 4 year: 2004 ident: 10.1016/j.eswa.2025.127771_b0275 article-title: Image quality assessment: From error visibility to structural similarity publication-title: IEEE transactions on image processing doi: 10.1109/TIP.2003.819861 – volume: 61 start-page: 730 issue: 7 year: 2021 ident: 10.1016/j.eswa.2025.127771_b0200 article-title: Engineering application and factors affecting infrared temperature measurements of mass concrete surfaces publication-title: Journal of Tsinghua University (Science and Technology) – start-page: 1037 year: 2015 ident: 10.1016/j.eswa.2025.127771_b0115 article-title: Multispectral pedestrian detection: Benchmark dataset and baseline – volume: 63 year: 2023 ident: 10.1016/j.eswa.2025.127771_b0170 article-title: Intelligent beam layout design for frame structure based on graph neural networks publication-title: Journal of Building Engineering doi: 10.1016/j.jobe.2022.105499 – volume: 130 year: 2022 ident: 10.1016/j.eswa.2025.127771_b0180 article-title: BP neural network-based adaptive spatial-temporal data generation technology for predicting ceiling temperature in tunnel fire and full-scale experimental verification publication-title: Fire Safety Journal doi: 10.1016/j.firesaf.2022.103577 – volume: 302 year: 2024 ident: 10.1016/j.eswa.2025.127771_b0340 article-title: Experimental, numerical and analytical analysis of a single-span steel portal frame exposed to fire publication-title: Engineering Structures doi: 10.1016/j.engstruct.2023.117417 – volume: 223 year: 2023 ident: 10.1016/j.eswa.2025.127771_b0145 article-title: Real-time flashover prediction model for multi-compartment building structures using attention based recurrent neural networks publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2023.119899 – year: 2018 ident: 10.1016/j.eswa.2025.127771_b0315 article-title: Esrgan: Enhanced super-resolution generative adversarial networks – volume: 20 start-page: 169 issue: 2 year: 2024 ident: 10.1016/j.eswa.2025.127771_b0345 article-title: Super-resolution reconstruction and high-precision temperature measurement of thermal images under high temperature scenes based on neural network publication-title: Advanced Steel Construction – start-page: 1 year: 2016 ident: 10.1016/j.eswa.2025.127771_b0040 article-title: Color guided thermal image super resolution – ident: 10.1016/j.eswa.2025.127771_b0075 doi: 10.1007/978-3-319-10593-2_13 |
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