Assessing the carbon footprint of soccer events through a lightweight CNN model utilizing transfer learning in the pursuit of carbon neutrality
IntroductionSoccer events require a lot of energy, resulting in significant carbon emissions. To achieve carbon neutrality, it is crucial to reduce the cost and energy consumption of soccer events. However, current methods for cost minimization often have high equipment requirements, time-consuming...
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| Vydané v: | Frontiers in ecology and evolution Ročník 11 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
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Frontiers Media S.A
24.07.2023
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| ISSN: | 2296-701X, 2296-701X |
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| Abstract | IntroductionSoccer events require a lot of energy, resulting in significant carbon emissions. To achieve carbon neutrality, it is crucial to reduce the cost and energy consumption of soccer events. However, current methods for cost minimization often have high equipment requirements, time-consuming training, and many parameters, making them unsuitable for real-world industrial scenarios. To address this issue, we propose a lightweight CNN model based on transfer learning to study cost minimization strategies for soccer events in a carbon-neutral context.MethodsOur proposed lightweight CNN model uses a downsampling module based on the human brain for efficient information processing and a transfer learning-based module to speed up the training progress. We conducted experiments to evaluate the performance of our model and compared it with existing models in terms of the number of parameters and computation and recognition accuracy.ResultsThe experimental results show that our proposed network model has significant advantages over existing models in terms of the number of parameters and computation while achieving higher recognition accuracy than conventional models. Our model effectively predicts soccer event data and proposes more reasonable strategies to optimize event costs and accelerate the realization of carbon neutral goals.DiscussionOur proposed lightweight CNN model based on transfer learning is a promising method for studying cost minimization strategies for soccer events in a carbon-neutral context. The use of a downsampling module based on the human brain and a transfer learning-based module allows for more efficient information processing and faster training progress. The results of our experiments indicate that our model outperforms existing models and can effectively predict soccer event data and propose cost optimization strategies. Our model can contribute to the realization of carbon-neutral goals in the sports industry. |
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| AbstractList | IntroductionSoccer events require a lot of energy, resulting in significant carbon emissions. To achieve carbon neutrality, it is crucial to reduce the cost and energy consumption of soccer events. However, current methods for cost minimization often have high equipment requirements, time-consuming training, and many parameters, making them unsuitable for real-world industrial scenarios. To address this issue, we propose a lightweight CNN model based on transfer learning to study cost minimization strategies for soccer events in a carbon-neutral context.MethodsOur proposed lightweight CNN model uses a downsampling module based on the human brain for efficient information processing and a transfer learning-based module to speed up the training progress. We conducted experiments to evaluate the performance of our model and compared it with existing models in terms of the number of parameters and computation and recognition accuracy.ResultsThe experimental results show that our proposed network model has significant advantages over existing models in terms of the number of parameters and computation while achieving higher recognition accuracy than conventional models. Our model effectively predicts soccer event data and proposes more reasonable strategies to optimize event costs and accelerate the realization of carbon neutral goals.DiscussionOur proposed lightweight CNN model based on transfer learning is a promising method for studying cost minimization strategies for soccer events in a carbon-neutral context. The use of a downsampling module based on the human brain and a transfer learning-based module allows for more efficient information processing and faster training progress. The results of our experiments indicate that our model outperforms existing models and can effectively predict soccer event data and propose cost optimization strategies. Our model can contribute to the realization of carbon-neutral goals in the sports industry. |
| Author | Liu, Zhewei Guo, Dayong |
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| References | He (B10) 2022; 22 Shen (B28) 2018; 1069 Pereira (B25) 2020; 1 Niu (B23) 2022 Akanksha (B2) 2021 Sayed (B27) 2022; 115 Jenkins (B15) 2005 Wen (B34) 2020; 32 Zhang (B41) 2023; 35 Zhang (B40) 2022 Jamil (B14) 2021; 5 Huang (B13) 2022 Dong (B4) 2023 Ning (B21) 2023; 136 Yang (B37) 2022; 15 Zhang (B39) 2019; 30 Vrbančič (B30) 2020; 8 Yang (B38) 2022 Mattson (B20) 2014 Wang (B33) 2022; 124 Heidari (B12) 2023; 55 Fathi (B6) 2020; 133 Ning (B22) 2022 Drachman (B5) 1974; 30 Ahmad (B1) 2022; 160 Wu (B35) 2022 Glickman (B7) 2015; 11 Gui-xiang (B8) 2018; 307 Wang (B32) 2021; 21 Han (B9) 2023; 8 Reza (B26) 2022; 12 He (B11) 2016 Ljubenkov (B18) 2020 Marques (B19) 2020; 96 Wang (B31) 2022 Chen (B3) 2019; 6 Panzer (B24) 2022; 60 Yang (B36) 2023; 17 Li (B16) 2020; 261 Liu (B17) 2021; 23 Sun (B29) 2021; 15 |
| References_xml | – volume: 15 start-page: 205 year: 2022 ident: B37 article-title: A review: machine learning for combinatorial optimization problems in energy areas publication-title: Algorithms doi: 10.3390/a15060205 – start-page: 1 year: 2022 ident: B38 article-title: Evaluation of sports public service under fuzzy integral and deep neural network publication-title: J. Supercomputing – volume: 35 start-page: 1 year: 2023 ident: B41 article-title: The optimization of supply chain financing for bank green credit using stackelberg game theory in digital economy under internet of things publication-title: J. Organizational End User Computing (JOEUC) doi: 10.4018/JOEUC.318474 – start-page: 770 year: 2016 ident: B11 article-title: Deep residual learning for image recognition – volume: 11 start-page: 1 year: 2015 ident: B7 article-title: Introduction to the ncaa men’s basketball prediction methods issue publication-title: J. Quantitative Anal. Sports doi: 10.1515/jqas-2015-0013 – volume: 15 start-page: 229 year: 2021 ident: B29 article-title: Long short-term memory network-based emission models for conventional and new energy buses publication-title: Int. J. Sustain. Transportation doi: 10.1080/15568318.2020.1734887 – start-page: 635 year: 2022 ident: B35 article-title: Research on individual recognition and matching of whale and dolphin based on efficientnet model – start-page: 756 year: 2022 ident: B23 article-title: Image segmentation for pneumothorax disease based on based on nested unet model – volume: 23 start-page: 2188 year: 2021 ident: B17 article-title: Human memory update strategy: a multi-layer template update mechanism for remote visual monitoring publication-title: IEEE Trans. Multimedia doi: 10.1109/TMM.2021.3065580 – volume: 136 start-page: 109216 year: 2023 ident: B21 article-title: Hyper-sausage coverage function neuron model and learning algorithm for image classification publication-title: Pattern Recognition doi: 10.1016/j.patcog.2022.109216 – volume: 30 start-page: 113 year: 1974 ident: B5 article-title: Human memory and the cholinergic system: a relationship to aging publication-title: Arch. Neurol. doi: 10.1001/archneur.1974.00490320001001 – volume: 22 start-page: 1410 year: 2022 ident: B10 article-title: A bearing fault diagnosis method based on wavelet packet transform and convolutional neural network optimized by simulated annealing algorithm publication-title: Sensors doi: 10.3390/s22041410 – volume: 1 start-page: 100004 year: 2020 ident: B25 article-title: Projecting the carbon footprint of tourist accommodation at the 2030 fifa world cuptm publication-title: Cleaner Responsible Consumption doi: 10.1016/j.clrc.2020.100004 – volume: 115 start-page: 105254 year: 2022 ident: B27 article-title: Deep and transfer learning for building occupancy detection: a review and comparative analysis publication-title: Eng. Appl. Artif. Intell. doi: 10.1016/j.engappai.2022.105254 – volume: 8 start-page: 196197 year: 2020 ident: B30 article-title: Transfer learning with adaptive fine-tuning publication-title: IEEE Access doi: 10.1109/ACCESS.2020.3034343 – volume: 17 start-page: 851 year: 2023 ident: B36 article-title: A conceptual model of home-based cardiac rehabilitation exercise adherence in patients with chronic heart failure: a constructivist grounded theory study publication-title: Patient Preference Adherence doi: 10.2147/PPA.S404287 – volume: 8 year: 2023 ident: B9 article-title: Challenge and opportunity: deep learning-based stock price prediction by using bi-directional lstm model publication-title: Front. Business Econom. Manage. doi: 10.54097/fbem.v8i2.6616 – volume: 30 start-page: 2193 year: 2019 ident: B39 article-title: Fault diagnosis strategy of cnc machine tools based on cascading failure publication-title: J. Intelligent Manufacturing doi: 10.1007/s10845-017-1382-7 – volume: 133 start-page: 110287 year: 2020 ident: B6 article-title: Machine learning applications in urban building energy performance forecasting: a systematic review publication-title: Renewable Sustain. Energy Rev. doi: 10.1016/j.rser.2020.110287 – volume: 1069 start-page: 012112 year: 2018 ident: B28 article-title: Fault analysis of machine tools based on grey relational analysis and main factor analysis publication-title: J. Physics: Conf. Ser. – volume: 124 start-page: 108498 year: 2022 ident: B33 article-title: Uncertainty estimation for stereo matching based on evidential deep learning publication-title: Pattern Recognition doi: 10.1016/j.patcog.2021.108498 – volume: 307 start-page: 012023 year: 2018 ident: B8 article-title: Research on criticality analysis method of cnc machine tools components under fault rate correlation publication-title: IOP Conf. Series: Mater. Sci. Eng. doi: 10.1088/1757-899X/307/1/012023 – volume: 21 start-page: 6369 year: 2021 ident: B32 article-title: A muscle fatigue classification model based on lstm and improved wavelet packet threshold publication-title: Sensors doi: 10.3390/s21196369 – volume: 60 start-page: 4316 year: 2022 ident: B24 article-title: Deep reinforcement learning in production systems: a systematic literature review publication-title: Int. J. Prod. Res. doi: 10.1080/00207543.2021.1973138 – year: 2014 ident: B20 article-title: Superior pattern processing is the essence of the evolved human brain publication-title: Front. Neurosci. doi: 10.3389/fnins.2014.00265 – year: 2022 ident: B31 article-title: Design of sports training simulation system for children based on improved deep neural network publication-title: Comput. Intell. Neurosci doi: 10.1155/2022/9727415 – start-page: 1 year: 2022 ident: B13 article-title: Estimating mangrove above-ground biomass at maowei sea, beibu gulf of china using machine learning algorithm with sentinel-1 and sentinel-2 data publication-title: Geocarto Int. doi: 10.1080/10106049.2022.2102226 – volume: 261 start-page: 114398 year: 2020 ident: B16 article-title: Reducing carbon footprint of deep-sea oil and gas field exploitation by optimization for floating production storage and offloading publication-title: Appl. Energy doi: 10.1016/j.apenergy.2019.114398 – volume: 32 start-page: 6111 year: 2020 ident: B34 article-title: A transfer convolutional neural network for fault diagnosis based on resnet-50 publication-title: Neural Computing Appl. doi: 10.1007/s00521-019-04097-w – start-page: 1 volume-title: 2020 IEEE European technology and engineering management summit (E-TEMS) year: 2020 ident: B18 article-title: Optimizing bike sharing system flows using graph mining, convolutional and recurrent neural networks doi: 10.1109/E-TEMS46250.2020.9111707 – start-page: 41 year: 2022 ident: B22 article-title: Active learning for open-set annotation – start-page: 1 year: 2022 ident: B40 article-title: Posture positioning estimation for players based on attention mechanism and hierarchical context publication-title: Neural Computing Appl. doi: 10.1007/s00521-022-07800-6 – volume: 160 start-page: 112128 year: 2022 ident: B1 article-title: Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: key developments, challenges, and future research opportunities in the context of smart grid paradigm publication-title: Renewable Sustain. Energy Rev. doi: 10.1016/j.rser.2022.112128 – volume: 5 start-page: 53 year: 2021 ident: B14 article-title: Bag of features (bof) based deep learning framework for bleached corals detection publication-title: Big Data Cogn. Computing doi: 10.3390/bdcc5040053 – volume-title: Sports science handbook: IZ, vol. 2 year: 2005 ident: B15 – volume: 96 start-page: 106691 year: 2020 ident: B19 article-title: Automated medical diagnosis of covid-19 through efficientnet convolutional neural network publication-title: Appl. Soft Computing doi: 10.1016/j.asoc.2020.106691 – year: 2023 ident: B4 article-title: A recognizable expression line portrait synthesis method in portrait rendering robot publication-title: IEEE Trans. Comput. Soc. Syst doi: 10.1109/TCSS.2023.3241003 – volume: 55 start-page: 1 year: 2023 ident: B12 article-title: Machine learning applications in internet-of-drones: systematic review, recent deployments, and open issues publication-title: ACM Computing Surveys doi: 10.1145/3571728 – start-page: 1416 year: 2021 ident: B2 article-title: Review on reinforcement learning, research evolution and scope of application – volume: 12 start-page: 5149 year: 2022 ident: B26 article-title: Traffic state prediction using one-dimensional convolution neural networks and long short-term memory publication-title: Appl. Sci. doi: 10.3390/app12105149 – volume: 6 start-page: 1901072 year: 2019 ident: B3 article-title: Time-tailoring van der waals heterostructures for human memory system programming publication-title: Adv. Sci. doi: 10.1002/advs.201901072 |
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