Assessing the carbon footprint of soccer events through a lightweight CNN model utilizing transfer learning in the pursuit of carbon neutrality
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Assessing the carbon footprint of soccer events through a lightweight CNN model utilizing transfer learning in the pursuit of carbon neutrality
Authors
Keywords
-
Journal
Frontiers in Ecology and Evolution
Volume 11, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2023-07-24
DOI
10.3389/fevo.2023.1208643
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Conceptual Model of Home-Based Cardiac Rehabilitation Exercise Adherence in Patients with Chronic Heart Failure: A Constructivist Grounded Theory Study
- (2023) Zhen Yang et al. Patient Preference and Adherence
- The Optimization of Supply Chain Financing for Bank Green Credit Using Stackelberg Game Theory in Digital Economy Under Internet of Things
- (2023) Hui Zhang et al. Journal of Organizational and End User Computing
- A Bearing Fault Diagnosis Method Based on Wavelet Packet Transform and Convolutional Neural Network Optimized by Simulated Annealing Algorithm
- (2022) Feng He et al. SENSORS
- 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
- (2022) Tanveer Ahmad et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Design of Sports Training Simulation System for Children Based on Improved Deep Neural Network
- (2022) Xuesheng Wang et al. Computational Intelligence and Neuroscience
- Traffic State Prediction Using One-Dimensional Convolution Neural Networks and Long Short-Term Memory
- (2022) Selim Reza et al. Applied Sciences-Basel
- Estimating mangrove above-ground biomass at Maowei Sea, Beibu Gulf of China using machine learning algorithm with Sentinel-1 and Sentinel-2 data
- (2022) Zhuomei Huang et al. Geocarto International
- A Review: Machine Learning for Combinatorial Optimization Problems in Energy Areas
- (2022) Xinyi Yang et al. Algorithms
- Deep and transfer learning for building occupancy detection: A review and comparative analysis
- (2022) Aya Nabil Sayed et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Machine Learning Applications in Internet-of-Drones: Systematic Review, Recent Deployments, and Open Issues
- (2022) Arash Heidari et al. ACM COMPUTING SURVEYS
- Posture positioning estimation for players based on attention mechanism and hierarchical context
- (2022) Lulu Zhang et al. NEURAL COMPUTING & APPLICATIONS
- Hyper-sausage coverage function neuron model and learning algorithm for image classification
- (2022) Xin Ning et al. PATTERN RECOGNITION
- Deep reinforcement learning in production systems: a systematic literature review
- (2021) Marcel Panzer et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- A Muscle Fatigue Classification Model Based on LSTM and Improved Wavelet Packet Threshold
- (2021) Junhong Wang et al. SENSORS
- Uncertainty estimation for stereo matching based on evidential deep learning
- (2021) Chen Wang et al. PATTERN RECOGNITION
- Reducing carbon footprint of deep-sea oil and gas field exploitation by optimization for Floating Production Storage and Offloading
- (2020) Zhuochao Li et al. APPLIED ENERGY
- A transfer convolutional neural network for fault diagnosis based on ResNet-50
- (2019) Long Wen et al. NEURAL COMPUTING & APPLICATIONS
- Time‐Tailoring van der Waals Heterostructures for Human Memory System Programming
- (2019) Huawei Chen et al. Advanced Science
- Fault diagnosis strategy of CNC machine tools based on cascading failure
- (2017) Yingzhi Zhang et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Superior pattern processing is the essence of the evolved human brain
- (2014) Mark P. Mattson Frontiers in Neuroscience
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now