Search Results - (( develop event detection algorithm ) OR ( java data optimization algorithm ))
Search alternatives:
- data optimization »
- event detection »
- develop »
- java »
-
1
Real time power quality event detection using continuous wavelet transform
Published 2023“…The proposed algorithm is also capable to perform voltage sag and voltage transient classification for event count upon event detection. …”
Conference paper -
2
An enhanced binary bat and Markov clustering algorithms to improve event detection for heterogeneous news text documents
Published 2022“…Event Detection (ED) works on identifying events from various types of data. …”
Get full text
Get full text
Thesis -
3
Fuzzy modeling using Bat Algorithm optimization for classification
Published 2018“…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
Get full text
Get full text
Get full text
Undergraduates Project Papers -
4
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
Get full text
Get full text
Article -
5
Fatigue Features Extraction of Road Load Time Data Using the S-Transform
Published 2013“…Three types of road load fatigue data were used for simulation purpose, pave track, highway and country road. In this study, an algorithm was developed, to detect the damaging events in the original fatigue signal. …”
Get full text
Get full text
Article -
6
Leveraging Web Scraping in Predictive Modelling of Supply Risk Detection
Published 2022“…For these purposes, a web scraping program is developed to identify the supply risks caused by these temporary events. …”
Get full text
Get full text
Get full text
Final Year Project Report / IMRAD -
7
Classification and detection of intelligent house resident activities using multiagent
Published 2013“…The intelligent home research requires understanding of the human behavior and recognizing patterns of activities of daily living (ADL).However instead of understand the psychosomatic nature of human early projects in this area simply employed intelligence to the household appliance.This paper proposed an algorithm for detecting ADL.The proposed method is based on two opposite state entity extraction.The method reflects on the common data flow of smart home event sequence.The developed algorithm clusters the smart home events by isolating opposite status of home appliance. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
8
Improving EEG Signal Peak Detection Using Feature Weight Learning of a Neural Network with Random Weights for Eye Event-Related Applications
Published 2017“…The optimization of peak detection algorithms for electroencephalogram (EEG) signal analysis is an ongoing project; previously existing algorithms have been used with different models to detect EEG peaks in various applications. …”
Get full text
Get full text
Get full text
Get full text
Article -
9
Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: A comprehensive review
Published 2020“…This paper reviews the existing conventional and intelligent models developed for early detection and prediction of lost circulation events. …”
Get full text
Get full text
Article -
10
Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: a comprehensive review
Published 2020“…This paper reviews the existing conventional and intelligent models developed for early detection and prediction of lost circulation events. …”
Get full text
Get full text
Get full text
Get full text
Article -
11
Wearable based-sensor fall detection system using machine learning algorithm
Published 2021“…In this project, a wearable sensor-based fall detection system using a machine-learning algorithm had been developed. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
12
Walking gait event detection based on electromyography signals using artificial neural network
Published 2019“…In many gait applications, the focal events are the stance and swing phases. Although detecting gait events using electromyography signals will help the development of assistive devices such as exoskeleton, orthoses, and prostheses, stance and swing phases have yet to be observed using electromyography signals. …”
Get full text
Get full text
Article -
13
Methods of intrusion detection in information security incident detection: a comparative study
Published 2018“…These algorithms and methods provide fast and high rate of detection. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
14
A random search based effective algorithm for pairwise test data generation
Published 2011“…This paper proposes an effective random search based pairwise test data generation algorithm named R2Way to optimize the number of test cases. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
15
Development of a wearable human fall detection system
Published 2022“…The accuracy of the fall detection algorithm was determined to be at 98.41%. …”
Get full text
Get full text
Article -
16
Epileptic Seizure Detection Using Singular Values And Classical Features Of EEG Signals
Published 2014“…This project aims at developing an automated epileptic seizure event detection algorithm. …”
Get full text
Get full text
Final Year Project -
17
Scalable approach for mining association rules from structured XML data
Published 2009Get full text
Get full text
Conference or Workshop Item -
18
EasyA: Easy and effective way to generate pairwise test data
Published 2013“…This paper proposes a matrix based calculation for pairwise test data generation algorithm named EasyA to optimize the number of test cases. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
19
Abnormal event detection in video surveillance / Lim Mei Kuan
Published 2014“…The third contribution aims to provide an integrated solution to detect multiple events in different regions-of-interest of a given scene. …”
Get full text
Get full text
Thesis -
20
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
