Search Results - (( pre implementation affects algorithm ) OR ( java implication based algorithm ))
Search alternatives:
- implementation affects »
- pre implementation »
- affects algorithm »
- implication based »
- java implication »
-
1
-
2
Implementation of Frequency Drift for Identification of Solar Radio Burst Type II
Published 2016“…The results of the frequency drift implementation in classification algorithm show that the algorithm developed gave almost similar determination as in manual detection. …”
Get full text
Get full text
Get full text
Article -
3
Implementation of Frequency Drift for Identification of Solar Radio Burst Type II
Published 2016“…The results of the frequency drift implementation in classification algorithm show that the algorithm developed gave almost similar determination as in manual detection. …”
Get full text
Get full text
Article -
4
-
5
Autism Spectrum Disorder Classification Using Deep Learning
Published 2021“…In this research, the convolutional neural find processes that can classify ASD with a higher level of accuracy. The image data is pre-processed; the CNN algorithm is then applied to classify the ASD and non-ASD, and the steps of implementing the CNN algorithm are clearly stated. …”
Get full text
Get full text
Get full text
Get full text
Article -
6
High Rise Building Evacuation Route Model Using DIJKSTRA'S Algorithm
Published 2015“…The information then is used to generate a directed graph in order to obtain the shortest path results through the implementation of shortest path algorithm. The main algorithms involve is Dijkstra’s algorithm and then an Ant Colony Optimization algorithm is used as hybrid versions of Dijkstra’s algorithm. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
7
Instruction Set Extension Of A Low-End Reconfigurable Microcontroller In Bit-Sorting Implementation
Published 2018“…However, there is clearly a lack of computational capability of the low-end architecture that will affect the pre-processing stage of the received data. …”
Get full text
Get full text
Get full text
Article -
8
An intelligent categorization tool for malay research articles
Published 2015“…This research addresses issues that involve improving several pre-processing processes that affect the performance of the clustering process. …”
Get full text
Get full text
Research Report -
9
An improved pheromone-based kohonen self-organising map in clustering and visualising balanced and imbalanced datasets
Published 2021“…Therefore, this proposed algorithm can be implemented in clustering other complex datasets, such as high dimensional and streaming data.…”
Get full text
Get full text
Get full text
Article -
10
Improving the efficiency of clustering algorithm for duplicates detection
Published 2023“…In this paper, we propose a data pre-processing method that increases the efficiency of window algorithms in grouping similar records together. …”
Get full text
Get full text
Get full text
Get full text
Article -
11
An Improved Pheromone-Based Kohonen Self- Organising Map in Clustering and Visualising Balanced and Imbalanced Datasets
Published 2021“…Therefore, this proposed algorithm can be implemented in clustering other complex datasets, such as high dimensional and streaming data.…”
Get full text
Get full text
Get full text
Get full text
Article -
12
Weighted subsethood and reasoning based fuzzy time series for moving holiday electricity load demand forecasting
Published 2021“…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of four main phases; data pre-processing, model development, model implementation and model evaluation. …”
Get full text
Get full text
Get full text
Thesis -
13
M-Factors Fuzzy Time Series for Forecasting Moving Holiday Electricity Load Demand in Malaysia (S/O 14589)
“…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of four main phases; data pre-processing, model development, model implementation and model evaluation. …”
Get full text
Get full text
Monograph -
14
An improved diabetes risk prediction framework : An Indonesian case study
Published 2018“…In conclusion,DRPF is implementable as prototype and has been highly accepted by Indonesian practitioners as aid for the diagnostics of diabetes.…”
Get full text
Get full text
Get full text
Thesis -
15
Hybrid neural network in medicolegal degree of injury determination based on Visum et Repertum
Published 2023“…Then, the selection of the critical features is chosen via Neural Network (NN) as classification algorithm and Genetic Algorithm (GA) as an optimization technique. …”
Get full text
Get full text
Get full text
Thesis -
16
Prediction of blood-brain barrier permeability of compounds by machine learning algorithms
Published 2024“…Data pre-processing and feature selection enhanced the prediction of the model. …”
Get full text
Get full text
Get full text
Article -
17
Focal and non-focal epilepsy localization: a review
Published 2018“…Generally, the techniques developed for detecting the epileptic seizures were based on tensors, entropy, empirical mode decomposition, wavelet transform and dynamic analysis. The existing algorithms were compared and the need for implementing a practical and reliable new algorithm is highlighted. …”
Get full text
Get full text
Get full text
Article -
18
An efficient real-time terrain data organization and visualization algorithm based on enhanced triangle-based level of detail technique
Published 2006“…The purpose of this research is to design, develop and implement an algorithm for enhancing the rendering efficiency of triangle-based LOD technique. …”
Get full text
Get full text
Thesis -
19
Monitoring the impacts of drought on land use/cover: a developed object-based algorithm for NOAA AVHRR time series data
Published 2011“…This project was implemented on Zayandeh-Rud basin which is one of the most important and strategic regions of Iran. …”
Get full text
Get full text
Get full text
Article -
20
The classification of wink-based eeg signals by means of transfer learning models
Published 2021“…The implementation of pre-processing algorithms has been demonstrated to be able to mitigate the signal noises that arises from the winking signals without the need for the use signal filtering algorithms. …”
Get full text
Get full text
Thesis
