Reptile search algorithm: Theory, variants, applications, and performance evaluation

B Sasmal, AG Hussien, A Das, KG Dhal… - Archives of Computational …, 2024 - Springer
Abstract Reptile Search Algorithm (RSA) is a recently developed nature-inspired meta-
heuristics optimization algorithm inspired by the encircling mechanism, hunting mechanism …

An Empirical Analysis on Detection and Recognition of Intra-Cranial Hemorrhage (ICH) using 3D Computed Tomography (CT) images

J Sengupta, R Alzbutas, H Kl - 2022 IEEE 2nd Mysore Sub …, 2022 - ieeexplore.ieee.org
An immediate rescue condition known as a brain stroke is primarily brought on by
inadequate blood flow to the brain and the Cellular damage on a permanent scale is the …

A novel reinforcement learning-based reptile search algorithm for solving optimization problems

M Ghetas, M Issa - Neural Computing and Applications, 2024 - Springer
This work proposes a novel reptile search algorithm (RSA) to solve optimization problems
called reinforcement reptile search algorithm (RLRSA). The basic RSA performs exploitation …

Integrated approach for dynamic economic/emission dispatch problem: multi-objective moth flame optimizer with transmission loss prediction using cascaded forward …

N Nalini, C Kumar, P Vijayarajan… - Electrical Engineering, 2024 - Springer
This paper presents improved single-and multi-objective algorithms based on the original
moth flame optimizer (MFO) to tackle the dynamic economic emission dispatch (DEED) …

A Novel Transfer Learning Technique for Rice Leaf Disease Detection

N Kumar, T Nikshepa, PK Pareek… - … in Intelligent Control …, 2022 - ieeexplore.ieee.org
Image processing has become more sophisticated over the course of the last several years.
In this study, we are presenting a model that, based on a convolution network, can identify …

Hybrid Boosted Chameleon and modified Honey Badger optimization algorithm-based energy efficient cluster routing protocol for cognitive radio sensor network

G Sathya, C Balasubramanian - Sustainable Computing: Informatics and …, 2024 - Elsevier
Single clustering protocols cannot meet the event-driven and time-triggered traffic
requirements of Cognitive Radio Sensor Networks (CRSNs). The long wait between the …

Churn Prediction in Financial Risk Management using Deep Learning Techniques

VS Kumar, S Sowmyashree, PK Pareek… - … in Intelligent Control …, 2022 - ieeexplore.ieee.org
It is essential to develop an efficient Client Relationship Model in order to make use of the
estimations about customer turnover (CRM). Finding and breaking down the facts …

[HTML][HTML] MULTI-TASK crow swarm-intelligent algorithm for enhancing spectrum efficiency and energy conservation in cognitive radio ad-hoc networking

S Govindasamy, K Ramudu, K Suriyakrishnaan… - Measurement …, 2024 - Elsevier
Abstract Cognitive Radio Ad-hoc Networking (CRAHN) could unlicensed users access
neglected spectrum assets. This research offers an innovative Multi-task Crow Swarm …

[PDF][PDF] Secure Cluster based Routing Using Multiobjective Trust Centric Reptile Search Algorithm for WSN.

SVK Reddy, JK Murthy - International Journal of Intelligent Engineering & …, 2023 - inass.org
Wireless sensor networks (WSN) is self-organizing network that has numerous tiny sensor
nodes used to track and monitor applications in an extensive range. However, security and …

Secure distance based multi-objective artificial rabbits algorithm for clustering and routing in cognitive radio network

KNS Gudihatti, KP Kumar - International Journal of Advanced …, 2023 - search.proquest.com
Cognitive radio networks (CRNs) are presently undergoing extensive research and are
gaining popularity in a wide range of applications. The nodes in a cognitive radio sensor …