9   Artículos

 
en línea
Tran Dinh Khang, Manh-Kien Tran and Michael Fowler    
Clustering is an unsupervised machine learning method with many practical applications that has gathered extensive research interest. It is a technique of dividing data elements into clusters such that elements in the same cluster are similar. Clustering... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Carlo Cunanan, Manh-Kien Tran, Youngwoo Lee, Shinghei Kwok, Vincent Leung and Michael Fowler    
Greenhouse gas emissions from the freight transportation sector are a significant contributor to climate change, pollution, and negative health impacts because of the common use of heavy-duty diesel vehicles (HDVs). Governments around the world are worki... ver más
Revista: Clean Technologies    Formato: Electrónico

 
en línea
Kanishkavikram Purohit, Shivangi Srivastava, Varun Nookala, Vivek Joshi, Pritesh Shah, Ravi Sekhar, Satyam Panchal, Michael Fowler, Roydon Fraser, Manh-Kien Tran and Chris Shum    
The proliferation of electric vehicle (EV) technology is an important step towards a more sustainable future. In the current work, two-layer feed-forward artificial neural-network-based machine learning is applied to design soft sensors to estimate the s... ver más
Revista: Applied System Innovation    Formato: Electrónico

 
en línea
Tran Dinh Khang, Nguyen Duc Vuong, Manh-Kien Tran and Michael Fowler    
Clustering is an unsupervised machine learning technique with many practical applications that has gathered extensive research interest. Aside from deterministic or probabilistic techniques, fuzzy C-means clustering (FCM) is also a common clustering tech... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Manh-Kien Tran and Michael Fowler    
The usage of Lithium-ion (Li-ion) batteries has increased significantly in recent years due to their long lifespan, high energy density, high power density, and environmental benefits. However, various internal and external faults can occur during the ba... ver más
Revista: Algorithms    Formato: Electrónico

« Anterior     Página: 1 de 1     Siguiente »