|
|
|
|
|
Shenglong Zhang
A high-accuracy objective function evaluation method is crucial in ship hull form optimization. This study proposes a novel approximate ship hull form optimization framework using the deep learning technology, deep belief network algorithm. To illustrate...
ver más
|
|
|
|
|
|
|
|
|
Abdul Razaque, Marzhan Abenova, Munif Alotaibi, Bandar Alotaibi, Hamoud Alshammari, Salim Hariri and Aziz Alotaibi
Time series data are significant, and are derived from temporal data, which involve real numbers representing values collected regularly over time. Time series have a great impact on many types of data. However, time series have anomalies. We introduce a...
ver más
|
|
|
|
|
|
|
|
|
Wilson Pérez, Punit Tulpule, Shawn Midlam-Mohler and Giorgio Rizzoni
Advanced energy management strategies (EMS) are used to control the power flow through a vehicle?s powertrain. However, the cost of high-power computational hardware and lack of a priori knowledge of future road conditions poses difficult challenges for ...
ver más
|
|
|
|
|
|
|
|
|
Tianjing Wang, Lanyong Zhang and Sheng Liu
Robust nonlinear filtering is an important method for tracking maneuvering targets in non-Gaussian noise environments. Although there are many robust filters for nonlinear systems, few of them have ideal performance for mixed Gaussian noise and non-Gauss...
ver más
|
|
|
|
|
|
|
|
|
Patcharin Buayen and Jeeraporn Werapun
The multiple knapsack problem (0/1-mKP) is a valuable NP-hard problem involved in many science-and-engineering applications. In current research, there exist two main approaches: 1. the exact algorithms for the optimal solutions (i.e., branch-and-bound, ...
ver más
|
|
|
|