Search Results - (( java implication tree algorithm ) OR ( using computing ((data algorithm) OR (new algorithm)) ))
Search alternatives:
- java implication »
- implication tree »
- using computing »
- tree algorithm »
- data algorithm »
- new algorithm »
-
1
-
2
A block cipher based on genetic algorithm
Published 2016“…In many algorithms which are based on the genetic algorithm approach, diffusion properties using crossover and mutation function are being generated to produce a secure data transmission. …”
Get full text
Get full text
Get full text
Thesis -
3
New signed-digit {0,1,3}-NAF scalar multiplication algorithm for elliptic curve over binary field
Published 2011“…The special NAF property is adopted in the new {0,1,3}-NAF scalar. Also, a new point tripling formula and algorithm are introduced for elliptic curve over binary field using Lopez-Dahab projective coordinates. …”
Get full text
Get full text
Thesis -
4
-
5
Integrating genetic algorithms and fuzzy c-means for anomaly detection
Published 2005“…In this paper we propose an intrusion detection method that combines Fuzzy Clustering and Genetic Algorithms. Clustering-based intrusion detection algorithm which trains on unlabeled data in order to detect new intrusions. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
6
-
7
Performance evaluation of load balancing algorithm for virtual machine in data centre in cloud computing
Published 2018“…Cloud computing has become biggest buzz in the computer era these days.It runs entire operating systems on the cloud and doeverything on cloud to store data off-site.Cloud computing is primarily based on grid computing, but it’s a new computational model.Cloud computing has emerged into a new opportunity to further enhance way of hosting data centre and provide services.The primary substance of cloud computing is to deal the computing power,storage,different sort of stages and services which assigned tothe external users on demand through the internet.Task scheduling in cloud computing is vital role optimisation and effective dynamic resource allocation for load balancing.In cloud, the issue focused is under utilisation and over utilisation of the resources to distribute workload of multiple network links for example,when cloud clients try to access and send request tothe same cloud server while the other cloud server remain idle at that moment, leads to the unbalanced of workload on cloud data centers.Thus, load balancing is to assign tasks to the individual cloud data centers of the shared system so that no single cloud data centers is overloaded or under loaded.A Hybrid approach of Honey Bee (HB) and Particle Swarm Optimisation (PSO) load balancing algorithm is combined in order to get effective response time.The proposed hybrid algorithm has been experimented by using CloudSim simulator.The result shows that the hybrid load balancing algorithm improves the cloud system performance by reducing the response time compared to the Honey Bee (HB) and Particle Swarm Optimisation (PSO) load balancing algorithm.…”
Get full text
Get full text
Get full text
Article -
8
-
9
A hybrid approach for artificial immune recognition system / Mahmoud Reza Saybani
Published 2016“…The components of the AIRS2 algorithm that pose problems will be modified. This thesis proposes three new hybrid algorithms: The FRA-AIRS2 algorithm uses fuzzy logic to improve data reduction capability of AIRS2 and to solve the linearity problem associated with resource allocation of AIRS. …”
Get full text
Get full text
Thesis -
10
DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH
Published 2005“…The project's objective is identifying the available data mining algorithms in data classification and applying new data mining algorithm to perform classification tasks. …”
Get full text
Get full text
Final Year Project -
11
An adaptive density-based method for clustering evolving data streams / Amineh Amini
Published 2014“…This study proposes a density-based algorithm for clustering evolving data streams. The proposed method, which is called MuDi-Stream (Multi Density clustering algorithm for evolving data Stream), is an online-offline algorithm with four main components. …”
Get full text
Get full text
Get full text
Thesis -
12
-
13
Steganography algorithm to hide secret message inside an image
Published 2011Get full text
Get full text
Article -
14
Enhancing Classification Algorithms with Metaheuristic Technique
Published 2024Get full text
Get full text
Get full text
Article -
15
Effectiveness of silhouette rendering algorithms in terrain visualisation
Published 2002Get full text
Get full text
Conference or Workshop Item -
16
Data clustering using the bees algorithm
Published 2007Get full text
Get full text
Conference or Workshop Item -
17
-
18
MuDi-Stream: A multi density clustering algorithm for evolving data stream
Published 2016Get full text
Get full text
Article -
19
Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem
Published 2017“…Big data offer a new paradigm shift in data exploration and utilization. …”
Get full text
Get full text
Get full text
Thesis -
20
Intrusion Detection Systems, Issues, Challenges, and Needs
Published 2021Get full text
Get full text
Get full text
Article
