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Decision tree learning

Machine learning approaches for predicting the link of the global trade network of liquefied natural gas

Pei Zhao, Hao Song, Guang Ling

Machine learning based method for analyzing vibration and noise in large cruise ships

Wenwei Wu, Tao He, [ ... ], Lei Chen

A quantitative geospatial analysis of the risk that Boko Haram will target a school

Lirika Sola, Youdinghuan Chen, V. S. Subrahmanian

A novel performance scoring quantification framework for stress test set-ups

Tal Kozlovski, Jeffrey M. Hausdorff, [ ... ], Yoav Benjamini

Detection of false position attacks in VANETs through bagging ensemble learning

Bekan Kitaw Mekonen, Lemi Bane, Negasa Berhanu Fite

Evaluating how different balancing data techniques impact on prediction of premature birth using machine learning models

Anna Beatriz Silva, Elisson da Silva Rocha, João Fausto Lorenzato, Patricia Takako Endo

Optimizing network bandwidth slicing identification: NADAM-enhanced CNN and VAE data preprocessing for enhanced interpretability

Md. Fahim Ul Islam, Shahriar Hossain, [ ... ], Amitabha Chakrabarty

Tracking and analyzing the spatio-temporal changes of rice planting structure in Poyang Lake using multi-model fusion method with sentinel-2 multi temporal data

Fenglan Pi, Yang Chen, [ ... ], Yuanzhi Shi

Research on the effect of multiple credit ratings from the perspective of financial regulatory systems in Chinese bond market

Xiangyun Zhou, Huiling Wang, Luping Zhang

Machine learning-based prediction of the axial load capacity of UHPC strengthened reinforced concrete columns: A comparative analysis

Viet Hai Hoang, Minh Quang Tran, Van Thuc Ngo

PoPI: A machine learning-based consensus mechanism for blockchain-enabled IoT systems

Mubtasim Kamal Dihan, Abdullah, [ ... ], Md Sakhawat Hossen

Machine learning-driven Diabetes Health Tracer (DHT): Optimizing prognosis using RaSK_GraDe and RaSK_GraDeL models

Muhammad Noman, Maria Hanif, [ ... ], Basit Qureshi

Analyzing and predicting short-term substance use behaviors of persons who use drugs in the great plains of the U.S.

Nguyen Thach, Patrick Habecker, [ ... ], Hau Chan

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