Enhanced leader PSO (ELPSO): a new algorithm for allocating distributed TCSC's in power systems
Allocation of flexible AC transmission systems (FACTS) devices is a challenging power
system problem. This paper proposes a new particle swarm optimisation (PSO) variant …
system problem. This paper proposes a new particle swarm optimisation (PSO) variant …
Computational intelligence optimization approach based on particle swarm optimizer and neutrosophic set for abdominal CT liver tumor segmentation
AM Anter, AE Hassenian - Journal of Computational Science, 2018 - Elsevier
In this paper, an improved segmentation approach for abdominal CT liver tumor based on
neutrosophic sets (NS), particle swarm optimization (PSO), and fast fuzzy C-mean algorithm …
neutrosophic sets (NS), particle swarm optimization (PSO), and fast fuzzy C-mean algorithm …
Pasikeitimo taškų aptikimas naudojant dalinių sumų proceso p-variaciją
T Danielius - 2023 - epublications.vu.lt
Abstract [eng] In recent decades, there has been a significant increase in the amount of data
collected in various fields, such as nature, medicine, economics, and personal devices like …
collected in various fields, such as nature, medicine, economics, and personal devices like …
[PDF][PDF] An Adaptive Kernel Layer Deep Neural Network for Remote Sensing Imageries
T Al Shoura - 2022 - prism.ucalgary.ca
Convolutional neural networks in recent years have become wildly utilized for the various
applications that deal with images, going through different architectures and development to …
applications that deal with images, going through different architectures and development to …
[PDF][PDF] Integration of entropy maximization and quantum behaved particle swarm algorithm for unsupervised change detection of MR skull bone lesions
Entropy is the measure of randomness in a system whereas the entropy maximization
procedure leads to the most probable state of a system behaviour. Entropy maximization …
procedure leads to the most probable state of a system behaviour. Entropy maximization …
Machine learning approach to track the progress of lesions using Change Detection
Brain MR image requires analysis of complex data. In this article use of machine learning
approaches together with the Change detection algorithms is aimed at identifying changes …
approaches together with the Change detection algorithms is aimed at identifying changes …