Intelligent Scheduling Algorithms for the Enhancement of Drone-Based Innovative Logistic Supply Chain Systems

Author:

Banjar Ameen1,Jemmali Mahdi2ORCID,Melhim Loai Kayed B.3ORCID,Boulila Wadii4ORCID,Ladhari Talel5ORCID,Sarhan Akram Y.6

Affiliation:

1. Department of Information Systems and Technology, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia

2. College of Computing and Informatics, University of Sharjah, Sharjah, United Arab Emirates

3. Department of Health Information Management and Technology, College of Applied Medical Sciences, University of Hafr Al Batin, Hafar Al Batin, Saudi Arabia

4. Robotics and Internet-of-Things Laboratory, Prince Sultan University, Riyadh, Saudi Arabia

5. Business Analytics and Decision Making Laboratory (BADEM), Tunis Business School, Université de Tunis, Tunis, Tunisia

6. Department of Information Technology, College of Computing and Information Technology at Khulis, University of Jeddah, Jeddah, Saudi Arabia

Funder

Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Data Analytics Platform with Last-Mile Delivery Decision Support for PWDs Using Metaheuristics Optimization;2024 International Conference on Data Science and Its Applications (ICoDSA);2024-07-10

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