Improving the prediction of biochar production from various biomass sources through the implementation of eXplainable machine learning approaches
Examining the game-changing possibilities of explainable machine learning techniques, this
study explores the fast-growing area of biochar production prediction. The paper …
study explores the fast-growing area of biochar production prediction. The paper …
An insight into the Application of AI in maritime and Logistics toward Sustainable Transportation
PT Le, TMT Do, TTH Nguyen, NBM Tran… - … : International Journal on …, 2024 - joiv.org
This review article looks at the developing field of artificial intelligence and machine learning
in maritime and marine environment management. The marine industry is increasingly …
in maritime and marine environment management. The marine industry is increasingly …
Methodology for Severe Convective Cloud Identification Using Lightweight Neural Network Model Ensembling
J Zhang, M He - Remote Sensing, 2024 - mdpi.com
This study introduces an advanced ensemble methodology employing lightweight neural
network models for identifying severe convective clouds from FY-4B geostationary …
network models for identifying severe convective clouds from FY-4B geostationary …
Forecasting energy consumption and carbon dioxide emission of Vietnam by prognostic models based on explainable machine learning and time series
This study assessed the usefulness of algorithms in estimating energy consumption and
carbon dioxide emissions in Vietnam, in which the training dataset was used to train the …
carbon dioxide emissions in Vietnam, in which the training dataset was used to train the …
Cluster Analysis of Japanese Whiskey Product Review Using K-Means Clustering
Since 2008, the Japanese whiskey business has grown steadily. Overall, the whiskey
market (at factory price) is expected to reach $2.95 billion in 2019, accounting for 8.6 percent …
market (at factory price) is expected to reach $2.95 billion in 2019, accounting for 8.6 percent …