GitHub

A set of tutorial-style examples to get started with qalx-orcaflex

This repository contains examples of a number of different approaches to solving a very simple batch of load cases in OrcaFlex. All the cases are based on the Orcina provided example A05 Lazy wave ...
Daily Excelsior

Machine Learning Methods Used for Portfolio Optimization and Risk Management

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
IEEE

A Class Incremental Learning Method With Forward-Compatible and Covariance-Aware for Specific Emitter Identification

Abstract: Specific Emitter Identification (SEI) is essential for IoT security. Due to the continuous emergence of new communication devices in the real world, SEI needs to cope with an increasing ...
GitHub

An opensource python implementation of the Method of moving asymptotes (MMA)

The MMA algorithm is used largely in the topology optimization field. Here we have a python implementation of the algorithm. To understand the API, kindly see mma_test.py. If you use this code in your ...
IEEE

A Distributed Class-Incremental Learning Method Based on Neural Network Parameter Fusion

Abstract: Class-incremental learning has received considerable attention due to the better adaptability to constantly changing characteristic of online learning. The neural network is suitable for ...