Search Results - (( developing a missing algorithm ) OR ( java implementation path algorithm ))
Search alternatives:
- java implementation »
- implementation path »
- missing algorithm »
- path algorithm »
- a missing »
-
1
Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer
Published 2017“…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
Get full text
Get full text
Thesis -
2
Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
Get full text
Get full text
Thesis -
3
Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment
Published 2021“…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
Get full text
Get full text
Get full text
Get full text
Article -
4
Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
Get full text
Get full text
Thesis -
5
Missing tags detection algorithm for radio frequency identification (RFID) data stream
Published 2019“…Thus in this research, an AC complement algorithm with hashing algorithm and Detect False Negative Read algorithm (DFR) is used to developed the Missing Tags Detection Algorithm (MTDA). …”
Get full text
Get full text
Get full text
Get full text
Thesis -
6
An Evaluation of Machine Learning Algorithms for Missing Values Imputation
Published 2019“…We considered the algorithms in a global, hybrid, local, and knowledge-based technique. …”
Get full text
Get full text
Get full text
Article -
7
Detection Of Misplaced And Missing Regions In Image Using Neural Network
Published 2017“…Therefore, it is necessary to develop an algorithm that is able to detect both misplaced and missing jigsaw puzzles. …”
Get full text
Get full text
Thesis -
8
Missing-values imputation algorithms for microarray gene expression data
Published 2019“…The purpose of this review is to focus on developments in the current techniques for scientists rather than applying different or newly developed algorithms with identical functional goals. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Get full text
Book Chapter -
9
Auto-feed hyperparameter support vector regression prediction algorithm in handling missing values in oil and gas dataset
Published 2020“…This problem inspires the idea to develop a prediction algorithm to predict the missing values in the dataset, where Support vector regression (SVR) has been proposed as a prediction method to predict missing values in several academic types of researches. …”
Get full text
Get full text
Article -
10
Enhanced mechanism to handle missing data of Hadith classifier
Published 2011Get full text
Get full text
Get full text
Proceeding Paper -
11
Development of an imputation technique - INI for software metric database with incomplete data
Published 2007“…Missing data causes significant problem. With inaccurate data or missing data, it is very difficult to know how much a project will cost or worth. …”
Get full text
Get full text
Get full text
Book Section -
12
MISSING DAILY RAINFALL PREDICTION USING GREY WOLF OPTIMIZER-BASED NEURAL NETWORK
Published 2024“…This research chapter presents the integration of the Grey Wolf Optimizer (GWO) algorithm for training a Feedforward Neural Network (FNN) to address the issue of missing daily rainfall records. …”
Get full text
Get full text
Get full text
Book Chapter -
13
Data-driven continuous-time Hammerstein modeling with missing data using improved Archimedes optimization algorithm
Published 2024“…The primary focus is on developing a novel data-driven approach for modeling continuous-time Hammerstein models, particularly in the presence of missing output data. …”
Get full text
Get full text
Get full text
Article -
14
Imputation Analysis of Time-Series Data Using a Random Forest Algorithm
Published 2024“…Missing data poses a significant challenge in extensive datasets, particularly those containing time-series information, leading to potential inaccuracies in data analysis and machine learning model development. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
15
-
16
New Learning Models for Generating Classification Rules Based on Rough Set Approach
Published 2000“…Another challenge is how to solve the problem of missing data. Rough set theory is a new mathematical tool to deal with vagueness and uncertainty. …”
Get full text
Get full text
Thesis -
17
-
18
Neural Network with Genetic Algorithm Prediction Model of Energy Consumption for Billing Integrity in Gas Pipeline
Published 2012“…Along the development of oil and gas industry, missing data is one of the contributors that restrains in analyzing and processing data task in database. …”
Get full text
Get full text
Final Year Project -
19
A Rough Set-Based Approach for Identifying and Replacing Missing Concepts in Incomplete Sentences in Computer Domain Texts
Published 2026thesis::master thesis -
20
Real time power quality event detection using continuous wavelet transform
Published 2023“…A test bench setup with voltage sag generator is used to test the performance of the proposed algorithm. …”
Conference paper
