A multi-objective mean–semivariance model for project selection using reinvestment and synergy under uncertainty

KR Hong, X Huang, JS Kim, NH Kim - Expert Systems with Applications, 2023 - Elsevier
Project selection problems with imprecise parameters is one of the hot spots that have
attracted many scholars' interest. In this paper, we first propose a multi-objective mean …

A comparative study of supervised learning techniques for remote sensing image classification

A Joshi, A Dhumka, Y Dhiman, C Rawat… - Soft computing: theories …, 2022 - Springer
Remote sensing image classification has long attracted the attention of the remote‐sensing
community because classification results are the basis for many environmental and …

Sustainable and Cost-Effective Work Zone Scheduling on Two-Lane Highways With Managed Lanes

AZ Edrees - 2024 - search.proquest.com
Roadway maintenance projects greatly influence the roadway capacity, resulting in potential
traffic disturbances captured by delays. Additionally, costs associated with these projects …

Minimizing cost of highway maintenance considering the impact of vehicle emissions using an artificial bee Colony approach

C Semaan, S Chien, CJ Ting - Transportation Research …, 2020 - journals.sagepub.com
The increasing traffic demand has reduced the efficiency of road networks and intensified
the maintenance need for mobility and safety, increasing vehicle emissions, reducing air …

Optimizing Work Zone Schedules Considering Traffic Diversion with Artificial Bee Colony Algorithm

C Semaan - 2021 - search.proquest.com
Highway maintenance activities often decrease roadway capacity and intrude traffic
movements. The need to finish the project on time and under a specific budget while …