Search Results - (( a distribution means algorithm ) OR ( _ evaluation ((based algorithm) OR (new algorithm)) ))
Search alternatives:
- distribution means »
- means algorithm »
- a distribution »
- new algorithm »
-
1
Beta Distribution Weighted Fuzzy C-Ordered-Means Clustering
Published 2024“…The fuzzy C-ordered-means clustering (FCOM) is a fuzzy clustering algorithm that enhances robustness and clustering accuracy through the ordered mechanism based on fuzzy C-means (FCM). …”
Get full text
Get full text
Get full text
Get full text
Article -
2
Levy tunicate swarm algorithm for solving numerical and real-world optimization problems
Published 2022“…The proposed Levy Tunicate Swarm Algorithm (LTSA) is a novel metaheuristic algorithm that integrates the Levy distribution into a new metaheuristic algorithm called Tunicate Swarm Algorithm (TSA) to solve numerical and real-world optimization problems. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
3
Replica Creation Algorithm for Data Grids
Published 2012“…This thesis presents a new replication algorithm that improves data access performance in data grids by distributing relevant data copies around the grid. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
4
-
5
Priority based fair scheduling : Enhancing efficiency in cloud job distribution
Published 2023“…These metrics were chosen to evaluate and analyze the effectiveness of the proposed scheduling algorithm.…”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
6
Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation
Published 2019“…In order to train Ridgelet probabilistic neural network, a modified differential evolution algorithm with new mutation phase, crossover process, and selection mechanism is introduced. …”
Get full text
Get full text
Thesis -
7
A Novel Approach Of Groebner Bases Computation For Safety Analysis Of Distributed Discrete Controllers
Published 2019“…In this research, our main objective is to generate a new model checking computation method based on Groebner bases algorithm for safety property analysis of distributed discrete controllers. …”
Get full text
Get full text
Get full text
Technical Report -
8
Confidence intervals (CI) for concentration parameter in von Mises distribution and analysis of missing values for circular data / Siti Fatimah binti Hassan
Published 2015“…By ignoring the existence of missing values, leads to the biasness and lack of efficiency of a statistics. In this study, three imputation methods are considered namely expectation-maximization (EM) algorithm and data augmentation (DA) algorithm. …”
Get full text
Get full text
Thesis -
9
Efficient back-off mechanism for multimedia support in IEEE 802.11E
Published 2012“…This research attempts to look into ways to produce an effective back-off mechanism that is adaptive dynamically to the network status and able to support QoS for realtime applications over wireless ad-hoc networks based on the IEEE 802.11e standard. The current research proposes a new algorithm so-called Dynamic Fast Adaptation of back-off algorithm for contention-based EDCA (DFA-EDCA) mechanism. …”
Get full text
Get full text
Thesis -
10
Development an accurate and stable range-free localization scheme for anisotropic wireless sensor networks
Published 2022“…Accordingly, this study aspires to bridge the research gap by exploring a new DV-Hop algorithm to build a fast, costefficient, strong range-free localization scheme. …”
Get full text
Get full text
Thesis -
11
A new Gompertz-three-parameter-lindley distribution for modeling survival time data
Published 2025“…Moreover, a new regression model based on the proposed distribution is presented. …”
Get full text
Get full text
Get full text
Article -
12
An observation of different clustering algorithms and clustering evaluation criteria for a feature selection based on linear discriminant analysis
Published 2022“…The k-means and the Gaussian mixture distribution were adopted as the clustering algorithms and each algorithm was tested on four datasets with four distinct clustering evaluation criteria: Calinski-Harabasz, Davies-Bouldin, Gap and Silhouette. …”
Get full text
Get full text
Get full text
Book Chapter -
13
Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…One of the main issues in genetic k-means based algorithms is their sensitivity to outliers and unevenly distributed clusters due to the mean compromised computations. …”
Get full text
Get full text
Thesis -
14
Optimal planning of photovoltaic distributed generation considering uncertainties using monte carlo pdf embedded MVMO-SH
Published 2021“…A new method of probabilistic backward – forward sweep power flow (BFSPF) based on Monte Carlo – PDF is developed as the fitness evaluation for the PVDG planning. …”
Get full text
Get full text
Thesis -
15
Semantic-Based, Scalable, Decentralized and Dynamic Resource Discovery for Internet-Based Distributed System
Published 2010“…Resource Discovery (RD) is a key issue in Internet-based distributed sytems such as grid. …”
Get full text
Get full text
Thesis -
16
Semantic-Based, Scalable, Decentralized and Dynamic Resource Discovery for Internet-Based Distributed System
Published 2010“…Resource Discovery (RD) is a key issue in Internet-based distributed sytems such as grid. …”
Get full text
Get full text
Thesis -
17
-
18
Geometric feature descriptor and dissimilarity-based registration of remotely sensed imagery
Published 2024journal::journal article -
19
Low-distortion MMSE speech enhancement estimator based on laplacian prior
Published 2017“…The proposed estimators are derived based on a minimum mean squared error (MMSE) sense to minimize the distortion in different conditions of the underlying speech. …”
Get full text
Get full text
Get full text
Article -
20
An optimal under frequency load shedding scheme for islanded distribution network / Amalina Izzati Md Isa
Published 2018“…Two new algorithms i.e., Load Classification based Fuzzy Logic (LCFL) and Binary Evolutionary Programming (BEP) are introduced in the module. …”
Get full text
Get full text
Thesis
