Occluded person re-identification with deep learning: a survey and perspectives
Person re-identification (Re-ID) technology plays an increasingly crucial role in intelligent
surveillance systems. Widespread occlusion significantly impacts the performance of person …
surveillance systems. Widespread occlusion significantly impacts the performance of person …
Rise of multiattribute decision‐making in combating COVID‐19: A systematic review of the state‐of‐the‐art literature
Considering the coronavirus disease 2019 (COVID‐19) pandemic, the government and
health sectors are incapable of making fast and reliable decisions, particularly given the …
health sectors are incapable of making fast and reliable decisions, particularly given the …
Review and empirical analysis of sparrow search algorithm
Y Yue, L Cao, D Lu, Z Hu, M Xu, S Wang, B Li… - Artificial Intelligence …, 2023 - Springer
In recent years, swarm intelligence algorithms have received extensive attention and
research. Swarm intelligence algorithms are a biological heuristic method, which is widely …
research. Swarm intelligence algorithms are a biological heuristic method, which is widely …
Sustainable fuzzy multi-trip location-routing problem for medical waste management during the COVID-19 outbreak
The performance of waste management system has been recently interrupted and
encountered a very serious situation due to the epidemic outbreak of the novel Coronavirus …
encountered a very serious situation due to the epidemic outbreak of the novel Coronavirus …
Fuzzy integrated cell formation and production scheduling considering automated guided vehicles and human factors
In today's competitive environment, it is essential to design a flexible-responsive
manufacturing system with automatic material handling systems. In this article, a fuzzy mixed …
manufacturing system with automatic material handling systems. In this article, a fuzzy mixed …
Multi-objective optimization for the reliable pollution-routing problem with cross-dock selection using Pareto-based algorithms
Cross-docking practice plays an important role in improving the efficiency of distribution
networks, especially, for optimizing supply chain operations. Moreover, transportation route …
networks, especially, for optimizing supply chain operations. Moreover, transportation route …
Integrated design of sustainable supply chain and transportation network using a fuzzy bi-level decision support system for perishable products
This study introduces a fuzzy bi-level Decision Support System (DSS) to optimize a
sustainable multi-level multi-product Supply Chain (SC) and co-modal transportation …
sustainable multi-level multi-product Supply Chain (SC) and co-modal transportation …
Ambulance routing in disaster response considering variable patient condition: NSGA-II and MOPSO algorithms.
The shortage of relief vehicles capacity is a common issue throughout disastrous situations
due to the abundance of injured people who need urgent medical aid. Hence, ambulances …
due to the abundance of injured people who need urgent medical aid. Hence, ambulances …
Sustainable supply chain network design using products' life cycle in the aluminum industry
This study provides a three-objective mixed-integer linear mathematical model to design a
sustainable closed-loop supply chain network in the aluminum industry. In this regard, the …
sustainable closed-loop supply chain network in the aluminum industry. In this regard, the …
[PDF][PDF] A robust time-cost-quality-energy-environment trade-off with resource-constrained in project management: A case study for a bridge construction project
Özet© 2022. All Rights Reserved. Sustainable development requires scheduling and
implementation of projects by considering cost, environment, energy, and quality factors …
implementation of projects by considering cost, environment, energy, and quality factors …