Explanipedia

Using machine learning to forecast conflict events for use in forced migration models Open

Yani Xue, Thomas Schincariol, Thomas Chadefaux, Derek Groen · 2025

YOLO-ELWNet: A lightweight object detection network Open

Baoye Song, Jianyu Chen, Weibo Liu, Jin Fang, Yani Xue , et al. · 2025

Extreme Wind Speed Prediction Under Noisy Labels: A Transfer-Learning-Assisted Cooperative Sample Selection Approach Open

Weibo Liu, Zidong Wang, Jingzhong Fang, Yu Cao, Yang Liu , et al. · 2025

Recently, deep learning (DL) techniques have been extensively applied to extreme weather prediction, which demonstrates their potential to address complex meteorological challenges. However, the success of DL-based weather prediction metho…

Many-Objective Simulation Optimization for Camp Location Problems in Humanitarian Logistics Open

Yani Xue, Miqing Li, Hamid Arabnejad, Diana Suleimenova, Alireza Jahani , et al. · 2024

Article Many-Objective Simulation Optimization for Camp Location Problems in Humanitarian Logistics Yani Xue 1,*, Miqing Li 2, Hamid Arabnejad 1, Diana Suleimenova 1, Alireza Jahani 1, Bernhard C. Geiger 3, Freek Boesjes 4, Anastasia Anagn…

Flee 3: Flexible agent-based simulation for forced migration Open

Maziar Ghorbani, Diana Suleimenova, Alireza Jahani, Arindam Saha, Yani Xue , et al. · 2024

Flee 3: Flexible Agent-Based Simulation for Forced Migration Open

Maziar Ghorbani, Diana Suleimenova, Alireza Jahani, Arindam Saha, Yani Xue , et al. · 2024

Facilitating simulation development for global challenge response and anticipation in a timely way Open

Derek Groen, Diana Suleimenova, Alireza Jahani, Yani Xue · 2023

FACS-CHARM: A Hybrid Agent-Based and Discrete-Event Simulation Approach for Covid-19 Management at Regional Level Open

Anastasia Anagnostou, Derek Groen, Simon J. E. Taylor, Diana Suleimenova, Nura Tijjani Abubakar , et al. · 2022

Pandemics have huge impact on all aspect of people's lives. As we have experienced during the Coronavirus pandemic, healthcare, education and the economy have been put under extreme strain. It is important therefore to be able to respond t…

FabSim3: An automation toolkit for verified simulations using high performance computing Open

Derek Groen, Hamid Arabnejad, Diana Suleimenova, Wouter Edeling, Erwan Raffin , et al. · 2022

An effective and efficient evolutionary algorithm for many-objective optimization Open

Yani Xue, Miqing Li, Xiaohui Liu · 2022

CALMS: Modelling the long-term health and economic impact of Covid-19 using agent-based simulation Open

Kate Mintram, Anastasia Anagnostou, Nana Anokye, Edward Okine, Derek Groen , et al. · 2022

We present our agent-based CoronAvirus Lifelong Modelling and Simulation (CALMS) model that aspires to predict the lifelong impacts of Covid-19 on the health and economy of a population. CALMS considers individual characteristics as well a…

Camp Location Selection in Humanitarian Logistics: A Multiobjective Simulation Optimization Approach Open

Yani Xue, Miqing Li, Hamid Arabnejad, Diana Suleimenova, Alireza Jahani , et al. · 2022

Clinical Analysis of Bilateral Thalamic Infarction Caused by Percheron Artery Occlusion Open

Peng Chen, Mei-mei Hao, Yong Chen, Hong Zhang, Zhe Wang , et al. · 2021

The Percheron artery (artery of Percheron, AOP) is a rare variant vessel. Its acute occlusion can cause a bilateral symmetrical thalamic stroke; typical symptoms of bilateral paramedian thalamic infarcts due to occlusion of AOP are vertica…

Angle-Based Crowding Degree Estimation for Many-Objective Optimization Open

Yani Xue, Miqing Li, Xiaohui Liu · 2020

© 2020, The Author(s). Many-objective optimization, which deals with an optimization problem with more than three objectives, poses a big challenge to various search techniques, including evolutionary algorithms. Recently, a meta-objective…

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