IEEE

Enhancing Random Forest Using Genetic Algorithm for Lifelong Machine Learning

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...
IEEE

Genetic Algorithms for a Scheduling Problem of Parcel Delivery and Pickup by Drones

Abstract: Recent studies have been conducted actively on scheduling in a parcel delivery system using a truck and drones to deliver parcels more effectively. In logistics, it is necessary to provide ...
The Scientist

Then and Now: Erica Larschan Harnesses Modern Technologies to Study Gene Regulation

Using CRISPR, multiomics, and machine learning, molecular biologist Larschan unravels the mysteries of the X chromosome.
SciELO

Multi-Objective Task Scheduling for Earth Observation InSAR Satellites via Non-Dominated Sorting Student Psychology Based Optimization Algorithm

This paper investigates the task scheduling problem for the Earth observation Interferometric Synthetic Aperture Radar (InSAR) satellite system. The mission time window generation method is introduced ...
GitHub

Flash LiDAR Vehicle Detection with MATLAB Dataset and Deep Learning Benchmarks

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...