Enhanced leader PSO (ELPSO): a new algorithm for allocating distributed TCSC's in power systems

AR Jordehi, J Jasni, N Abd Wahab, MZ Kadir… - International Journal of …, 2015 - Elsevier
Allocation of flexible AC transmission systems (FACTS) devices is a challenging power
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 …

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 …

[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 …

[PDF][PDF] Integration of entropy maximization and quantum behaved particle swarm algorithm for unsupervised change detection of MR skull bone lesions

A Mitra, A De, AK Bhattacharjee - International Journal of Computer …, 2015 - Citeseer
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 …

Machine learning approach to track the progress of lesions using Change Detection

A Mitra, A De, AK Bhattacharjee - Journal of Network and Innovative …, 2014 - cspub-jnic.org
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 …