Search Results - (( developing stream learning algorithm ) OR ( java application optimized algorithm ))
Search alternatives:
- optimized algorithm »
- learning algorithm »
- developing stream »
- java application »
- stream learning »
-
1
Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
Published 2013Get full text
Get full text
Conference or Workshop Item -
2
Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
Get full text
Get full text
Conference or Workshop Item -
3
Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
Get full text
Get full text
Final Year Project -
4
-
5
Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things
Published 2022“…On the other hand, existing stream data learning models with limited labelling have many limitations. …”
Get full text
Get full text
Thesis -
6
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
Get full text
Get full text
Article -
7
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
Get full text
Get full text
Thesis -
8
Using streaming data algorithm for intrusion detection on the vehicular controller area network
Published 2022“…In this paper, the adapted streaming data Isolation Forest (iForestASD) algorithm has been applied to CAN intrusion detection. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
9
Ant colony optimization algorithm for load balancing in grid computing
Published 2012Get full text
Get full text
Get full text
Monograph -
10
-
11
Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT
Published 2006“…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
Get full text
Get full text
Thesis -
12
-
13
Music Recommender System Using Machine Learning Content-Based Filtering Technique
Published 2022“…These are the popular algorithm for unsupervised learning, a machine learning method to analyse and cluster datasets. …”
Get full text
Get full text
Undergraduates Project Papers -
14
Examination timetabling using genetic algorithm case study: KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
Get full text
Get full text
Thesis -
15
Study of machine learning in computer vision using Raspberry Pi
Published 2024text::Final Year Project -
16
Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
Get full text
Get full text
Get full text
Thesis -
17
Improving Class Timetabling using Genetic Algorithm
Published 2006“…We have targeted the research on class timetabling problem. Hence, Genetic Algorithm (GA) is used as one of the most popular optimization solutions. …”
Get full text
Get full text
Get full text
Thesis -
18
Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq
Published 2016“…In this study, the potential of a relatively new data-driven method, namely the extreme learning machine (ELM) method, was explored for forecasting monthly stream-flow discharge rates in the Tigris River, Iraq. …”
Get full text
Get full text
Article -
19
-
20
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper
