Real estate price estimation in French cities using geocoding and machine learning

D Tchuente, S Nyawa - Annals of Operations Research, 2022 - Springer
This paper reviews real estate price estimation in France, a market that has received little
attention. We compare seven popular machine learning techniques by proposing a different …

Anti-conflict AGV path planning in automated container terminals based on multi-agent reinforcement learning

H Hu, X Yang, S Xiao, F Wang - International Journal of Production …, 2023 - Taylor & Francis
AGV conflict prevention path planning is a key factor to improve transportation cost and
operation efficiency of the container terminal. This paper studies the anti-conflict path …

[HTML][HTML] COVID-19 vaccine hesitancy: a social media analysis using deep learning

S Nyawa, D Tchuente, S Fosso-Wamba - Annals of operations research, 2022 - Springer
Hesitant attitudes have been a significant issue since the development of the first vaccines—
the WHO sees them as one of the most critical global health threats. The increasing use of …

Modelling and analysis of artificial intelligence for commercial vehicle assembly process in VUCA world: a case study

A Manimuthu, VG Venkatesh… - … Journal of Production …, 2022 - Taylor & Francis
Real-time monitoring, is now the integral component in smart manufacturing with the rapid
application of Artificial Intelligence (AI) in manufacturing. Machine Learning (ML) algorithms …

A prediction-based iterative Kuhn-Munkres approach for service vehicle reallocation in ride-hailing

Y Guo, W Li, L Xiao, H Allaoui - International Journal of Production …, 2024 - Taylor & Francis
Online ride-hailing services provide additional transportation capability by recruiting private
vehicles to meet people's growing travel demand. To ensure the profitability of drivers and …

Solving the shortest path interdiction problem via reinforcement learning

D Huang, Z Mao, K Fang, L Chen - International Journal of …, 2023 - Taylor & Francis
This paper addresses the shortest path interdiction problem, in which the leader aims to
maximise the length of the shortest path that the follower can traverse subject to a limited …

A two-stage stochastic programming model for collaborative asset protection routing problem enhanced with machine learning: a learning-based matheuristic …

E Nikzad, M Bashiri - International Journal of Production Research, 2023 - Taylor & Francis
In this paper, a two-stage stochastic mathematical model is developed for an asset
protection routing problem under a wildfire. The main aim of this study is to reduce the …

Analytics and machine learning in scheduling and routing research

R Bai, ZL Chen, G Kendall - International Journal of Production …, 2023 - Taylor & Francis
1. Background This special issue largely originated from various discussions during several
cross-domain, multi-disciplinary conferences and workshops, especially the 9th …

Eco-friendly lane reservation-based autonomous truck transportation network design

L Xu, P Wu, C Chu, A D'Ariano - International Journal of Production …, 2024 - Taylor & Francis
As one of the primary sources of carbon emissions, transportation sector has proposed
various measures to reduce its carbon emissions. Introducing energy-efficient and low …

Millisecond-Scale Real-Time Scheduling of Buses: A Controller-Based Approach

F Wang, X Zuo, B Wu, M Zhou, X Wan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Bus scheduling is vital for public transportation to ensure high transit service quality. In
actual bus operation, buses' travel time may change due to some uncertain factors, which …