Search Results - (( pre implementation using algorithm ) OR ( java data optimization algorithm ))
Search alternatives:
- implementation using »
- pre implementation »
- data optimization »
- using algorithm »
- java »
-
1
Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
2
Fuzzy modeling using Bat Algorithm optimization for classification
Published 2018“…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
Get full text
Get full text
Get full text
Undergraduates Project Papers -
3
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
Get full text
Get full text
Article -
4
A random search based effective algorithm for pairwise test data generation
Published 2011“…This paper proposes an effective random search based pairwise test data generation algorithm named R2Way to optimize the number of test cases. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
5
Scalable approach for mining association rules from structured XML data
Published 2009Get full text
Get full text
Conference or Workshop Item -
6
EasyA: Easy and effective way to generate pairwise test data
Published 2013“…This paper proposes a matrix based calculation for pairwise test data generation algorithm named EasyA to optimize the number of test cases. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
7
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
Get full text
Get full text
Thesis -
8
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
Get full text
Get full text
Thesis -
9
A Study And Development Of Digital Control Technique For Power Factor Correction Using Pre-Calculated Algorithm With A Low Cost 8-Bit Microcontroller
Published 2013“…A digital control technique for power factor correction using pre-calculated algorithm with a low cost 8-bit microcontroller is studied and presented in this paper. …”
Get full text
Get full text
Thesis -
10
-
11
Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
Get full text
Get full text
Get full text
Book -
12
DEEP LEARNING ALGORITHM IMPLEMENTATION FOR SHIP DETECTION IN SPOT SATELLITE IMAGES
Published 2019“…The deep-learning algorithm to be deployed is Faster R-CNN and to be implemented using MATLAB. …”
Get full text
Get full text
Final Year Project -
13
Effects of Different Pre-Trained Deep Learning Algorithms as Feature Extractor in Tomato Plant Health Classification
Published 2023“…Five different pre-trained deep learning algorithms (i.e. Resnet-50, AlexNet, GoogleNet, VGG16, and VGG19) were studied and compared. …”
Get full text
Get full text
Get full text
Article -
14
Simulation model algorithm for pre-hospital emergency care (PHEC) volunteers in Indonesia
Published 2018“…The statistic test used in this research is t-test. The results reveals that simulation model using algorithm influences the improvement of traffic volunteers’ emergency management capabilities with p-value of < 0.05 and mean score difference of 34.5%, and the model is highly effective to be implemented to improve the capability of traffic assistant volunteers to manage trauma emergency with the mean score difference of 11.5%. …”
Get full text
Get full text
Get full text
Article -
15
Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…In the algorithm development a step-by-step example of the algorithm implementation is presented and then successfully implemented in Lego Mindstorm obstacle avoiding mobile robot as a proof of concept implementation of the hybrid AI algorithm. …”
Get full text
Get full text
Thesis -
16
Enhancement of stemming process for malay illicit web content
Published 2012“…The result for the test for implementation of Rule 2 shows that by using Sembok’s algorithm it produced only 17% corrected words compared with enhanced stemming algorithm produced 62% corrected words. …”
Get full text
Get full text
Thesis -
17
Acceleration of Retinex Algorithm for Image Processing on Android Device Using Renderscript
Published 2013“…This paper presents an implementation of rsRetinex, an optimized Retinex algorithm by using Renderscript technique. …”
Get full text
Get full text
Conference or Workshop Item -
18
Implementation Of Hardware Software Partitioning In Embedded System
Published 2018Get full text
Get full text
Monograph -
19
Implementation of Autoregressive(AR)Method to Pre-Filter the Set of Measurements
Published 2009Get full text
Get full text
Get full text
Citation Index Journal -
20
Effects of Different Pre-Trained Deep Learning Algorithms as Feature Extractor in Tomato Plant Health Classification
Published 2023“…Five different pre-trained deep learning algorithms (i.e. Resnet-50, AlexNet, GoogleNet, VGG16, and VGG19) were studied and compared. …”
Get full text
Get full text
Get full text
Article
