Search Results - (( processes evaluation step algorithm ) OR ( java application learning algorithm ))
Search alternatives:
- processes evaluation »
- application learning »
- learning algorithm »
- java application »
- evaluation step »
- step algorithm »
-
1
-
2
Algorithmic approaches in model selection of the air passengers flows data
Published 2015“…Algorithm is an important element in any problem solving situation.In statistical modelling strategy, the algorithm provides a step by step process in model building, model testing, choosing the ‘best’ model and even forecasting using the chosen model.Tacit knowledge has contributed to the existence of a huge variability in manual modelling process especially between expert and non-expert modellers.Many algorithms (automated model selection) have been developed to bridge the gap either through single or multiple equation modelling.This study aims to evaluate the forecasting performances of several selected algorithms on air passengers flow data based on Root Mean Square Error (RMSE) and Geometric Root Mean Square Error (GRMSE).The findings show that multiple models selection performed well in one and two step-ahead forecast but was outperformed by single model in three step-ahead forecasts.…”
Get full text
Get full text
Get full text
Conference or Workshop Item -
3
Enhanced Image View Synthesis Using Multistage Hybrid Median Filter For Stereo Images
Published 2018“…Disparity depth map estimation of stereo matching algorithm is one of the most active research topics in computer vision.In the field of image processing,many existing stereo matching algorithms to obtain disparity depth map are developed and designed with low accuracy.To improve the accuracy of disparity depth map is quite challenging and difficult especially with uncontrolled dynamic environment.The accuracy is affected by many unwanted aspects including random noises,horizontal streaks,low texture,depth map non-edge preserving, occlusion,and depth discontinuities.Thus,this research proposed a new robust method of hybrid stereo matching algorithm with significant accuracy of computation.The thesis will present in detail the development,design, and analysis of performance on Multistage Hybrid Median Filter (MHMF).There are two main parts involved in our developed method which combined in two main stages.Stage 1 consists of the Sum of Absolute Differences (SAD) from Basic Block Matching (BBM) algorithm and the part of Scanline Optimization (SO) from Dynamic Programming (DP) algorithm.While,Stage 2 is the main core of our MHMF as a post-processing step which included segmentation,merging, and hybrid median filtering.The significant feature of the post-processing step is on its ability to handle efficiently the unwanted aspects obtained from the raw disparity depth map on the step of optimization.In order to remove and overcome the challenges unwanted aspects, the proposed MHMF has three stages of filtering process along with the developed approaches in Stage 2 of MHMF algorithm.There are two categories of evaluation performed on the obtained disparity depth map: subjective evaluation and objective evaluation.The objective evaluation involves the evaluation on Middlebury Stereo Vision system and evaluation using traditional methods such as Mean Square Errors (MSE),Peak to Signal Noise Ratio (PSNR) and Structural Similarity Index Metric (SSIM).Based on the results of the standard benchmarking datasets from Middlebury,the proposed algorithm is able to reduce errors of non-occluded and all errors respectively.While,the subjective evaluation is done for datasets captured from MV BLUE FOX camera using human's eyes perception.Based on the results,the proposed MHMF is able to obtain accurate results, specifically 69% and 71% of non-occluded and all errors for disparity depth map, and it outperformed some of the existing methods in the literature such as BBM and DP algorithms.…”
Get full text
Get full text
Get full text
Get full text
Thesis -
4
Effects of Different Superpixel Algorithms on Interactive Segmentations
Published 2022“…Though employed as pre-processing step in many interactive segmentation algorithms, to date, no study has been conducted to assess the effects of such incorporations on the segmentation algorithms. …”
Get full text
Get full text
Get full text
Article -
5
-
6
Effects of Different Superpixel Algorithms on Interactive Segmentations
Published 2022“…Though employed as pre-processing step in many interactive segmentation algorithms, to date, no study has been conducted to assess the effects of such incorporations on the segmentation algorithms. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
7
A Model for Evaluation of Cryptography Algorithm on UUM Portal
Published 2004“…The development of the simulation model consists of seven steps. The steps are problem definition, construct the simulation model, test and validate the model, design the simulation experiments, conduct the simulation experiments, evaluate the result and implement the result. …”
Get full text
Get full text
Get full text
Thesis -
8
An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
9
A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
Get full text
Get full text
Get full text
Thesis -
10
Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications
Published 2016“…There are two categorized evaluations done on the disparity maps obtained by the algorithms : objective evaluation and subjective evaluation. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
11
DC-link capacitor voltage control for single-phase shunt active power filter with step size error cancellation in self-charging algorithm
Published 2016“…For evaluation and comparison analysis, self-charging with PI and FLC algorithms have been developed too. …”
Get full text
Get full text
Get full text
Article -
12
Solving computational algorithm using CLONALNet technique based on artificial clonal selection
Published 2023“…CLONALNet enforces an algorithm that is much more robust in evaluating the fitness for each antibody cells since it initiates boundaries so that the initialization process doesn't run off as of previous CLONALG algorithm but still maintains the immune network interaction as in aiNet. …”
Conference paper -
13
DC-link capacitor voltage control for single-phase shunt active power filter with step size error cancellation in self-charging algorithm
Published 2016“…For evaluation and comparison analysis, self-charging with PI and FLC algorithms have been developed too. …”
Get full text
Get full text
Article -
14
Performance evaluation of automatic number plate recognition on android smartphone platform
Published 2017“…It shows that our proposed ANPR algorithm improved the recognition rate with negligible additional processing time.…”
Get full text
Get full text
Get full text
Get full text
Article -
15
A Fast Vertical Edge Detection Algorithm for Car License Plate Detection
Published 2009“…Pre-processing step is performed in order to enhance and initialize the input image for the next steps. …”
Get full text
Get full text
Thesis -
16
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
Get full text
Get full text
Get full text
Thesis -
17
Modified Contrast Limited Adaptive Histogram Equalization for high dynamic range images
Published 2012“…For assessment, a subjective and an objective evaluation were conducted to evaluate the performance of the tone mapping algorithm. …”
Get full text
Get full text
Thesis -
18
Implication of image processing algorithm in remote sensing and GIS applications
Published 2011“…This review presents evaluation and utilization of different algorithms such as Simple Recursive Algorithm, Backtracking Algorithm, Divide and Conquer Algorithm, Dynamic Algorithm, Branch and Bound Algorithm, Brute Force Algorithm and Randomized Algorithm. …”
Get full text
Get full text
Get full text
Article -
19
Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…It shows that our proposed algorithm improved the recognition rate with negligible additional processing time.…”
Get full text
Get full text
Get full text
Book -
20
Autism Spectrum Disorder Classification Using Deep Learning
Published 2021“…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
