Search Results - (( java implementation path algorithm ) OR ( using big using algorithm ))
Search alternatives:
- java implementation »
- implementation path »
- using algorithm »
- path algorithm »
- using big »
-
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
An efficient parallel clustering algorithm on big data using Spark
Published 2022“…Here we are proposing a new parallel fuzzy clustering algorithm called "An efficient parallel clustering algorithm on big data using spark" which deals with real-time processing. …”
Get full text
Get full text
Get full text
Article -
6
Big data clustering using grid computing and ant-based algorithm
Published 2013“…Big data has the power to dramatically change the way institutes and organizations use their data. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
7
A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption
Published 2019“…In this chapter, we present a theoretical study of energy issues related to applications of computational intelligent algorithms in big data analytics. This work highlights that big data analytics using computational intelligent algorithms generates a very high amount of energy, especially during the training phase. …”
Get full text
Get full text
Article -
8
Two objectives big data task scheduling using swarm intelligence in cloud computing
Published 2016“…The proposed method is evaluated using CloudSim and big data applications are used as sample of applications. …”
Get full text
Get full text
Get full text
Article -
9
Zot-mk: A New Algorithm For Big Integer Multiplication
Published 2009Get full text
Get full text
Thesis -
10
ZOT-MK: a new algorithm for big integer multiplication[QA75].
Published 2009“…However, there are only a few existing algorithms today that gain their efficiency through the multiplication of the big integer characteristic. …”
Get full text
Get full text
Thesis -
11
Development of heuristic task scheduling algorithm in cloud computing
Published 2016“…As a result, many scheduling algorithms are proposed by researchers for scheduling big data analytics from static to heuristics algorithms. …”
Get full text
Get full text
Proceeding Paper -
12
Mapreduce algorithm for weather dataset
Published 2017“…This original dataset is stored in Hadoop Distributed File System. Next, MapReduce Algorithm is developed using Java programming. The algorithm is tested using small and big dataset. …”
Get full text
Get full text
Thesis -
13
A theoretical framework for big data analytics based on computational intelligent algorithms with the potential to reduce energy consumption
Published 2019“…In this chapter, we present a theoretical study of energy issues related to applications of computational intelligent algorithms in big data analytics. This work highlights that big data analytics using computational intelligent algorithms generates a very high amount of energy, especially during the training phase. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Book Chapter -
14
MapReduce algorithm for weather dataset
Published 2018“…This original dataset is stored in Hadoop Distributed File System. Next, MapReduce Algorithm is developed using Java programming. The algorithm is tested using small and big dataset. …”
Get full text
Get full text
Research Report -
15
ZOT -Mk: A New Algorithm For Big Integer Multiplication
Published 2009“…We named the new numbering structure as "ZOT". The new algorithm for big numbers mUltiplication, ZOT-MK, is constructed from the combination of Karatsuba algorithm and the ZOT structure.…”
Get full text
Get full text
Thesis -
16
Efficient Big Integer Multiplication and Squaring Algorithms for Cryptographic Applications
Published 2014“…In this paper, we introduce new symbols extracted from binary representation of integers called Big-ones.We present a modified version of the classicalmultiplication and squaring algorithms based on the Big-ones to improve the efficiency of big integermultiplication and squaring in number theory based cryptosystems. …”
Get full text
Get full text
Get full text
Article -
17
Optimal search algorithm in a big database using interpolation–extrapolation method
Published 2019“…Search using traditional binary-search algorithm can be accelerated by employing an interpolation search technique when the data is regularly distributed. …”
Get full text
Get full text
Get full text
Article -
18
A big data prediction framework for weather forecast using MapReduce algorithm
Published 2017“…This paper presents a big data analysis framework for weather dataset based on MapReduce Algorithm, and offers not only weather dataset analysis, but also various analytic capabilities on huge amounts of data. …”
Get full text
Get full text
Get full text
Article -
19
Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem
Published 2017“…The proposed algorithm is evaluated using tasks scheduling in the scheduling load simulator and validated using statistical modeling. …”
Get full text
Get full text
Get full text
Thesis -
20
MapReduce scheduling algorithms: a review
Published 2018“…Our study can serve as the benchmark to expert researchers for proposing a novel MapReduce scheduling algorithm. However, for novice researchers, the study can be used as a starting point.…”
Get full text
Get full text
Get full text
Article
