Telemedicine Queuing System Study: Integrating Queuing Theory, Artificial Neural Networks (ANNs) and Particle Swarm Optimization (PSO)
Telemedicine has emerged as a vital tool for expanding healthcare access, particularly in underserved areas, yet its effectiveness is often hindered by inefficient queuing systems, fluctuating patient demand, and limited resources. This study addresses these challenges by developing a hybrid Artific...
Saved in:
| Main Authors: | Deborah Tshiamala, Lagouge Tartibu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/11/6349 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Development, optimization and modelling of performance parameters for remote-controlled mechatronic precision planter using RSM and Hybrid PSO-ANN model
by: Vimalsinh Vala, et al.
Published: (2025-08-01) -
Dynamic load balancing algorithm based on queuing theory comprehensive index evaluation
by: Wenbo WANG, et al.
Published: (2018-07-01) -
On The Queuing System M/Er/1/N
by: Baghdad Science Journal
Published: (2012-06-01) -
CALCULATIONS OF PERFOMANCE PRODUCTIVITY OF ATC AS A QUEUING SYSTEM WITH FAILURES
by: I. N. Shestakov, et al.
Published: (2016-11-01) -
Novel hybrid model to improve the monthly streamflow prediction: Integrating ANN and PSO
by: Baydaa Abdul Kareem, et al.
Published: (2023-08-01)