Search Results - (( java implication force algorithm ) OR ( based mitigation clustering algorithm ))
Search alternatives:
- implication force »
- java implication »
- based mitigation »
- force algorithm »
-
1
A Hybrid K-Means Hierarchical Algorithm for Natural Disaster Mitigation Clustering
Published 2022“…Therefore, the proposed hybrid algorithm can provide relatively homogeneous clustering results in natural disaster mitigation.…”
Get full text
Get full text
Get full text
Get full text
Article -
2
Enhancement Of Clustering Algorithm Using 3D Euclidean Distance To Improve Network Connectivity In Wireless Sensor Networks For Correlated Node Behaviours
Published 2024“…Thus, this research proposes enhancement on clustering algorithm to mitigate the impact of correlated node behaviour on network performances. …”
thesis::doctoral thesis -
3
-
4
Optimised content-social based features for fake news detection in social media using text clustering approach
Published 2025“…In general, the process of fake news detection was conducted in two different phases, the topic detection phase using a graph-based unsupervised clustering method based on HFPA and Markov Clustering Algorithm (MCL) called (HFPA-MCL) and the fake news detection phase using an unsupervised clustering method based on K-means algorithm. …”
Get full text
Get full text
Get full text
Thesis -
5
An efficient up-link load reduction model based on clustering in vanets
Published 2019“…This study proposed an Efficient Up-link Load Reduction (EULR) model to mitigate the uplink load at BSs. EULR model consisted of three parts: the first part, two novel algorithms Smart CH Election (SCHE) and Hybrid Cluster-Head Election (HCHE) to increase cluster stability and reduce the number of CHs changes in the network by selecting the best vehicle as cluster head (CH) based on two dynamic thresholds. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
6
Data redundancy reduction scheme for data aggregation in wireless sensor network
Published 2020“…However, many issues are explored in the clustered-based data aggregation and reduced data aggregation efficiency. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Thesis -
7
Hybrid metaheuristic method for clustering in wireless sensor networks / Bryan Raj Peter Jabaraj
Published 2023“…The performance of aHSSOGA is evaluated based on average residual energy, network lifetime, total re-clustering occurrence, total data delivery, network throughput and end-to-end delay metrics. …”
Get full text
Get full text
Get full text
Thesis -
8
Detecting lung cancer region from CT image using meta-heuristic optimized segmentation approach
Published 2022“…In this paper, the butterfly optimization algorithm-based K-means clustering (BOAKMC) method is introduced for reducing CT image segmentation uncertainty. …”
Get full text
Get full text
Get full text
Get full text
Article -
9
An Effective Power Dispatch Strategy for Clustered Micro-grids while Implementing Optimal Energy Management and Power Sharing Control using Power Line Communication
Published 2019“…This paper proposes an effective power dispatch strategy for clustered micro-grids. The developed hybrid algorithm implements optimal energy management and power sharing control using binary data. …”
Get full text
Get full text
Get full text
Proceeding -
10
-
11
A coalition model for efficient indexing in wireless sensor network with random mobility / Hazem Jihad Ali Badarneh
Published 2021“…The proposed model consists of Dynamic-Coalition framework, Static-Coalition algorithm, and Coalition-Based Index-Tree framework. …”
Get full text
Get full text
Get full text
Thesis -
12
Detection And Identification Of Stiction In Control Valves Based On Fuzzy Clustering Method
Published 2016“…This modification prevents the fuzzy clustering algorithm from turning into numerical problem. …”
Get full text
Get full text
Thesis -
13
-
14
Power management system for smart microgrid considering meteorological and load demand data / Sam Koohikamali
Published 2015“…An algorithm is also proposed which helps to precisely design the battery energy storage plant. …”
Get full text
Get full text
Thesis -
15
Model-based hybrid variational level set method applied to object detection in grey scale images
Published 2024“…To tackle the persistent challenge of segmenting grayscale images with both uneven characteristics and high noise levels, a hybrid level-set algorithm based on kernel metrics is introduced. This algorithm leverages an improved multi-scale mean filter to mitigate grayscale inhomogeneity while reducing the impact of scale parameter selection. …”
Get full text
Get full text
Thesis -
16
An enhanced synthetic oversampling framework with self-supervised contrastive learning for multi-class image imbalance
Published 2025“…The second contribution is the introduction of the Clustering and Nearest Centroid Neighbour-based Synthetic Minority Oversampling (CLNCN-SMOTE) algorithm to resolve multi-class imbalance. …”
Get full text
Get full text
Thesis
