A comprehensive review on Jaya optimization algorithm

LSA da Silva, YLS Lúcio, LS Coelho… - Artificial Intelligence …, 2023 - Springer
Abstract The Jaya Algorithm is a relatively new population-based optimization, which has
become a progressively valuable tool in swarm intelligence. The Jaya algorithm …

A self-learning discrete jaya algorithm for multiobjective energy-efficient distributed no-idle flow-shop scheduling problem in heterogeneous factory system

F Zhao, R Ma, L Wang - IEEE Transactions on Cybernetics, 2021 - ieeexplore.ieee.org
In this study, a self-learning discrete Jaya algorithm (SD-Jaya) is proposed to address the
energy-efficient distributed no-idle flow-shop scheduling problem (FSP) in a heterogeneous …

An efficient deep learning approach to automatic glaucoma detection using optic disc and optic cup localization

M Nawaz, T Nazir, A Javed, U Tariq, HS Yong… - Sensors, 2022 - mdpi.com
Glaucoma is an eye disease initiated due to excessive intraocular pressure inside it and
caused complete sightlessness at its progressed stage. Whereas timely glaucoma screening …

[PDF][PDF] Intrusion Detection Systems, Issues, Challenges, and Needs.

M Al-Janabi, MA Ismail, AH Ali - Int. J. Comput. Intell. Syst., 2021 - academia.edu
Intrusion detection systems (IDSs) are one of the promising tools for protecting data and
networks; many classification algorithms, such as neural network (NN), Naive Bayes (NB) …

IoT-based pest detection and classification using deep features with enhanced deep learning strategies

B Prasath, M Akila - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Agriculture is an essential source of sustenance. Here, pest detection is very helpful in
increasing food quality, and also it helps to increase the country's economy. Moreover, the …

An automated glaucoma detection from fundus images based on deep learning network

R Yugha, V Vinodhini, JR Arunkumar… - … Conference on I …, 2022 - ieeexplore.ieee.org
A condition known as glaucoma, is an eye illness brought on by high intraocular pressure,
may lead to total blindness. On the other hand, prompt glaucoma screening-based therapy …

[PDF][PDF] Improved intrusion detection algorithm based on TLBO and GA algorithms.

M Al-Janabi, MA Ismail - Int. Arab J. Inf. Technol., 2021 - ccis2k.org
Optimization algorithms are widely used for the identification of intrusion. This is attributable
to the increasing number of audit data features and the decreasing performance of human …

Improved TLBO‐JAYA algorithm for subset feature selection and parameter optimisation in intrusion detection system

M Aljanabi, MA Ismail, V Mezhuyev - Complexity, 2020 - Wiley Online Library
Many optimisation‐based intrusion detection algorithms have been developed and are
widely used for intrusion identification. This condition is attributed to the increasing number …

[PDF][PDF] Optimized machine learning algorithm for intrusion detection

RAI Alhayali, M Aljanabi, AH Ali… - Indonesian Journal of …, 2021 - academia.edu
Intrusion detection is mainly achieved by using optimization algorithms. The need for
optimization algorithms for intrusion detection is necessitated by the increasing number of …

[PDF][PDF] Rao-SVM machine learning algorithm for intrusion detection system

SN Abd, M Alsajri, HR Ibraheem - Iraqi Journal For Computer Science and …, 2020 - iasj.net
Most of the intrusion detection systems are developed based on optimization algorithms as a
result of the increase in audit data features; optimization algorithms are also considered for …