Abstract: The progression of nuclear power plant accident scenarios involves complex parameter uncertainties and partial signal unavailability, significantly impacting the accuracy of risk analysis ...
State Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum (Beijing), Beijing 102249, China College of Petroleum Engineering, China University of Petroleum (Beijing), ...
Synthetic dataset outputs for public analysis without privacy risk. Part of my current workflow as survey leader of the Data Engineering Pilipinas group. Comparable distributions per column: based on ...
We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Introduction: Risk coupling (RC) analysis of underground gas storage (UGS) leakage accident risks is critical to overall natural gas storage safety. Consequently, the interactions among diverse risk ...
The following results were produced on a desktop computer with an AMD Ryzen Threadripper PRO 5945WX 12-core CPU and 64 GB of RAM. Termination with 1% gap or after 1 hour. Solver is Gurobi v12.0.3. The ...
SSEN Transmission is implementing dynamic line rating (DLR) network in the UK for increasing wind power transmission capacity and to make the GB electricity grid more efficient. The company has ...
Incomplete data significantly hampers risk analysis for high-sea maritime accidents (HSMAs). This paper introduces a novel multi-source data-driven Bayesian network (DDBN) framework to address this ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results