[HTML][HTML] Intelligent Waste-Volume Management Method in the Smart City Concept
This research paper proposes an innovative approach to urban waste management using
intelligent methods of classification, clustering, and forecasting. The application of this …
intelligent methods of classification, clustering, and forecasting. The application of this …
Integrated strategies for road transportation-related multi-pollutant control: A cross-departmental policy mix
Road transportation significantly contributes to air pollution. However, how different air
pollutant concentrations are subject to transportation-related factors and what policymakers …
pollutant concentrations are subject to transportation-related factors and what policymakers …
Applying machine learning to model and estimate environmental impacts of transportation
Conclusions The eight papers in this special issue offered new insights into the application
of ML in modeling and estimating the environmental impacts of transportation, particularly by …
of ML in modeling and estimating the environmental impacts of transportation, particularly by …
Prediction and Feed-In Tariffs of Municipal Solid Waste Generation in Beijing: Based on a GRA-BiLSTM Model
X Zhang, B Liu - Sustainability, 2024 - mdpi.com
To cope with the increasing energy demand of people and solve the problem of a “Garbage
Siege”, most cities have begun to adopt waste power generation (WTE). Compared to other …
Siege”, most cities have begun to adopt waste power generation (WTE). Compared to other …
Regression Analysis using Machine Learning Algorithms to Predict CO2 Emissions
LA Joshy, RK Sambandam… - … on Computing for …, 2024 - ieeexplore.ieee.org
Precise measurement of fuel consumption and emissions plays an important role in
evaluating the environmental effects of materials and stringent emission control methods …
evaluating the environmental effects of materials and stringent emission control methods …
Financial market trend prediction model based on LSTM neural network algorithm
P Dong, X Wang, Z Shi - Journal of Computational Methods in …, 2024 - content.iospress.com
The financial market has randomness, and the prediction of the financial market is an
important task in the financial market. In traditional financial market prediction models, the …
important task in the financial market. In traditional financial market prediction models, the …