A comparative analysis of meta-heuristic optimization algorithms for feature selection on ML-based classification of heart-related diseases
This study aims to use a machine learning (ML)-based enhanced diagnosis and survival
model to predict heart disease and survival in heart failure by combining the cuckoo search …
model to predict heart disease and survival in heart failure by combining the cuckoo search …
[HTML][HTML] An improved image interpolation technique using OLA e-spline
J Panda, S Meher - Egyptian Informatics Journal, 2022 - Elsevier
Image upscaling aims to increase the resolution and size of a low resolution (LR) image in
order to generate a high resolution (HR) image of high frequency (HF). There are several …
order to generate a high resolution (HR) image of high frequency (HF). There are several …
A cuckoo search algorithm to improve a routing problem adapted to last mile e-commerce logistics
A Escudero-Santana, L Onieva… - … European Journal of …, 2024 - Springer
The rapid growth of e-commerce as an alternative to traditional face-to-face commerce has
highlighted the logistical challenges of efficiently delivering goods to end consumers. A …
highlighted the logistical challenges of efficiently delivering goods to end consumers. A …
Cost optimality of an erratic GeoX/G/1 retrial queue under J-vacation scheme using nature inspired algorithms
R Agarwal, S Upadhyaya… - … Journal of Industrial …, 2023 - inderscienceonline.com
In this article, we have explored a GeoX/G/1 model with Bernoulli feedback wherein the
clients that enter and find the system to be busy, halt for a while prior to attempting again to …
clients that enter and find the system to be busy, halt for a while prior to attempting again to …