|
|
|
|
|
Yanjun Liu, Yifan Xue, Shuting Huang, Gang Xue and Qianfeng Jing
Reducing the carbon emissions of ships and increasing the utilization of marine renewable energy are the important ways to achieve the goal of carbon neutrality in ocean engineering. Establishing an accurate mathematical model is the foundation of simula...
ver más
|
|
|
|
|
|
|
|
|
Mohammad Asad Tariq, Vasanthi Sethu, Senthilkumar Arumugasamy, Anurita Selvarajoo
Pág. 1 - 14
In the present research, local rambutan seed extract was used as a bio-coagulant for the treatment of palm oil mill effluent (POME). Jar test experiments were conducted to find the optimal operating conditions for the removal of turbidity and total suspe...
ver más
|
|
|
|
|
|
|
|
|
Austin D. Lewis and Katrina M. Groth
Dynamic Bayesian networks (DBNs) represent complex time-dependent causal relationships through the use of conditional probabilities and directed acyclic graph models. DBNs enable the forward and backward inference of system states, diagnosing current sys...
ver más
|
|
|
|
|
|
|
|
|
Hyun-Joo Oh, Mutiara Syifa, Chang-Wook Lee and Saro Lee
To effectively prevent land subsidence over abandoned coal mines, it is necessary to quantitatively identify vulnerable areas. In this study, we evaluated the performance of predictive Bayesian, functional, and meta-ensemble machine learning models in ge...
ver más
|
|
|
|
|
|
|
|
|
Mahmood Shafiee, Evenye Enjema and Athanasios Kolios
Engineering systems such as energy production facilities, aviation systems, maritime vessels, etc. continue to grow in size and complexity. This growth has made the identification, quantification and mitigation of risks associated with the failure of suc...
ver más
|
|
|
|