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An Enhanced Quorum Selection Algorithm

An Enhanced Quorum Selection Algorithm

... The quorum algorithm has been extensively studied since its earlier days, adapting it to mobile devices with connectivity issues and providing a solid quality of service for quorum members is still ... See full document

9

PSO Optimized Communication Modeling For Wireless Sensor Network With Mobile Sink

PSO Optimized Communication Modeling For Wireless Sensor Network With Mobile Sink

... In this dissertation, a novel energy-efficient mechanism based on Particle Swarm optimization is presented for wireless sensor networks having mobile sinks. The selection of cluster heads is enhanced by ... See full document

5

ENHANCED LEVY-FLIGHTCUCKOO SEARCH ALGORITHM (ELCSA) FOR CLUSTER MEMBER SELECTION AND MEMBER REPLACEMENT

ENHANCED LEVY-FLIGHTCUCKOO SEARCH ALGORITHM (ELCSA) FOR CLUSTER MEMBER SELECTION AND MEMBER REPLACEMENT

... Head selection and Cluster Member selection should be considered as important ...Member Selection is carried to form effective clusters for providingreliable data ...work, Enhanced Levy-Flight ... See full document

10

Antibiotic Mediated Selection of Quorum Sensing Negative Staphylococcus aureus

Antibiotic Mediated Selection of Quorum Sensing Negative Staphylococcus aureus

... agr imposes a fitness cost during antibiotic treatment. To determine if the presence of antibiotics affects the cost of carrying an intact agr operon, we conducted competition assays (~8 cell divisions) of the WT and ⌬ ... See full document

7

Enhanced Insertion Sort Algorithm

Enhanced Insertion Sort Algorithm

... making enhanced insertion sort more efficient for bigger list as it gives less than O(n ...proposed algorithm is compared with some recent used algorithms like bubble sort, selection sort ... See full document

5

Enhanced Prediction of Heart Disease with Feature Subset Selection using Genetic Algorithm

Enhanced Prediction of Heart Disease with Feature Subset Selection using Genetic Algorithm

... feature selection techniques are heuristic ...Feature selection techniques fall under two ...attribute selection, backward attribute selection, simulated annealing, and genetic ... See full document

7

Computational Framework for Heart Disease Prediction using Deep Belief Neural Network with Fuzzy Logic

Computational Framework for Heart Disease Prediction using Deep Belief Neural Network with Fuzzy Logic

... proposed enhanced prediction model for Heart Disease through the hybridization of genetic algorithm with Decision Tree for feature subset selection, Genetic with Naive Bayes and Genetic with ... See full document

9

Artificial Bee Colony Algorithm with Flower Pollination (ABCAFP) for Cluster Formation in MANET

Artificial Bee Colony Algorithm with Flower Pollination (ABCAFP) for Cluster Formation in MANET

... Head selection and Cluster Member selection should be considered as important ...Member Selection is carried to form effective clusters for providingreliable data ...work, Enhanced Artificial ... See full document

10

Enhanced Medical Tweet Opinion Mining using Improved Dolphin Echolocation Algorithm Based Feature Selection

Enhanced Medical Tweet Opinion Mining using Improved Dolphin Echolocation Algorithm Based Feature Selection

... The three important categories of opinion mining that are utilized to extract public opinions from tweets are lexicon-based methods, machine learning-based methods, and hybrid methods [7]. Lexicon-based methods utilize ... See full document

7

Enhanced Max-min Task Scheduling Algorithm
in Cloud Computing

Enhanced Max-min Task Scheduling Algorithm in Cloud Computing

... scheduling algorithm to outperform appropriate allocation map of tasks on ...scheduling algorithm is proposed. The algorithm is built based on comprehensive study of the impact of Improved Max-min ... See full document

6

Multi-Objective QoS-based Reusable Service
Selection enhanced with Artificial Bee Colony
(MQRSABC)

Multi-Objective QoS-based Reusable Service Selection enhanced with Artificial Bee Colony (MQRSABC)

... An enhanced Artificial Bee Colony (ABC) optimization algorithm, called the QoS-Based Reusable Service Selection with Multi-Objective Constraints using Artificial Bee Colony (MQRSABC) ... See full document

6

MFSPFA: An Enhanced Filter based Feature Selection Algorithm

MFSPFA: An Enhanced Filter based Feature Selection Algorithm

... Feature selection algorithms are categorized into Supervised Algorithms [2, 3], Unsupervised Algorithms [4, 5] and Semi-supervised Algorithms [6, ...The selection criterion is a key component in feature ... See full document

5

AN ENHANCED SELECTION SORT ALGORITHM

AN ENHANCED SELECTION SORT ALGORITHM

... are Selection sort, Insertion sort, Bubble sort, Shell sort, Merge sort, Quick sort and many ...an enhanced version of the selection sort algorithm is ...here. Enhanced selection ... See full document

5

Genetic Algorithm: An Enhanced Feature Selection Tool for Face Detection

Genetic Algorithm: An Enhanced Feature Selection Tool for Face Detection

... In this paper, we have extended the work of Treptow and Zell by implementing GA inside the Adaboost framework to select features. Fifteen stages of cascaded classifiers are set up rather than building just a single stage ... See full document

6

Selection of Lactic Acid Bacteria Isolated from Thai Traditional Fermented Foods to use as Starter Cultures Based on Antioxidant Activity and no Histidine Production

Selection of Lactic Acid Bacteria Isolated from Thai Traditional Fermented Foods to use as Starter Cultures Based on Antioxidant Activity and no Histidine Production

... Significant improvement with regards to the time complexity was noted based on the test results. The improvement can be attributed to the elimination of the identified problems from the procedure of classical se- lection ... See full document

8

On The Design Optimization for Enhanced Face Recognition

On The Design Optimization for Enhanced Face Recognition

... detection algorithm that uses Particle Swarm Optimization (PSO) for searching the image is ...The algorithm uses a linear Support Vector Machine (SVM) as a fast and accurate classifier in order to search ... See full document

7

AHAC: Decision Tree Classification with Agglomerative Hierarchical Algorithm Clustering for Time Series Data Clustering

AHAC: Decision Tree Classification with Agglomerative Hierarchical Algorithm Clustering for Time Series Data Clustering

... an enhanced method such as Similarity Measure Selection for Clustering Time Series Databases using Agglomerative Hierarchical algorithm Clustering (AHAC) based logical cluster tree method to solve ... See full document

5

Enhanced Feature Selection Algorithm (FAST) for Large Data

Enhanced Feature Selection Algorithm (FAST) for Large Data

... Dhillon et al. [23] proposes new theoretical discrimination algorithms for groups of words and applies to the classification text, Butterworth and faculty [24] proposing group elements using distance measurements. ... See full document

10

Using Quorum for Solving Channel Allocation Problem

Using Quorum for Solving Channel Allocation Problem

... allocation algorithm was proposed by Prkash-Shivartri-Singhal [3] in ...Singhal algorithm was able to handle the failure of MHs and ...tolerant algorithm to solve channel allocation problem. Their ... See full document

6

The efficient selection methods of genetic algorithm used in scheduling problems

The efficient selection methods of genetic algorithm used in scheduling problems

... genetic algorithm for permutation scheduling problems with limited buffers with the objective to minimize the ...genetic algorithm to solve practical scheduling ...Two selection methods: RWS and TTS ... See full document

5

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