Search Results - (( solution extraction method algorithm ) OR ( variable detection sensor algorithm ))
Search alternatives:
- solution extraction »
- variable detection »
- extraction method »
- method algorithm »
- detection sensor »
- sensor algorithm »
-
1
New global maximum power point tracking and modular voltage equalizer topology for partially shaded photovoltaic system / Immad Shams
Published 2022“…Only one dynamic variable is used as a tuning parameter reducing the complexity of the algorithm. …”
Get full text
Get full text
Get full text
Thesis -
2
Observer-based fault detection with fuzzy variable gains and its application to industrial servo system
Published 2020“…Also, a scoring algorithm has been implemented, to evaluate the classification ability of the algorithm and the early fault detection ability. …”
Get full text
Get full text
Get full text
Article -
3
Deforestation detection in Kinabalu Area, Sabah, Malaysia by using multi-sensor remote sensing approach
Published 2004“…This paper examines use of multi-sensor remote sensing approach for deforestation detection in the tropics. …”
Get full text
Get full text
Get full text
Article -
4
Algorithm enhancement for host-based intrusion detection system using discriminant analysis
Published 2004“…Misuse detection algorithms model know attack behavior. They compare sensor data to attack patterns learned from the training data. …”
Get full text
Get full text
Thesis -
5
A study on advanced statistical analysis for network anomaly detection
Published 2005“…Misuse detection algorithms model know attack behavior. They compare sensor data to attack patterns learned from the training data. …”
Get full text
Monograph -
6
Cluster head selection using fuzzy logic and chaotic based genetic algorithm in wireless sensor network
Published 2013“…Wireless sensor networks (WSNs) are composed of hundreds or thousands of sensor nodes in order to detect and transmit information from its surrounding environment. …”
Get full text
Get full text
Article -
7
Modelling and analysis of sensor fault tolerant control using behavioral approach to systems theory
Published 2015“…State observers are then implemented as the fault detection method in which the discrepancies between the measured values by the sensors and the values of the model are expressed as residuals. …”
Get full text
Get full text
Get full text
Thesis -
8
DESIGN OF SMART TRAFFIC LIGHT SYSTEM BASED ON INTERNET OF THINGS
Published 2018“…Density of the traffic is calculated by the algorithm that have various variables. This project will use Arduino as it microcontroller and the ultrasonic is used to detect the congestion. …”
Get full text
Get full text
Final Year Project Report / IMRAD -
9
Multi-sensor fusion and deep learning framework for automatic human activity detection and health monitoring using motion sensor data / Henry Friday Nweke
Published 2019“…This is further worsen by the use of single sensors modality and machine learning algorithms. …”
Get full text
Get full text
Get full text
Thesis -
10
Faulty sensor detection mechanism using multi-variate sensors in IoT
Published 2019“…Because of this, we proposed two methods for Faulty Sensor Detection and Identification mechanism based on multi-variate sensors for Smart Parking System and smart agriculture. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
11
Single Fitness Function to Optimize Energy using Genetic Algorithms for Wireless Sensor Network
Published 2024journal::journal article -
12
Gas Identi cation by Using a Cluster-k-Nearest-Neighbor
Published 2009“…Among the most serious limitations facing the success of future consumer gas identification systems are the drift problem and the real-time detection due to the slow response of most of todays gas sensors. …”
Get full text
Get full text
Article -
13
Obstacle avoidance robot using sonar sensor (OARuS)
Published 2008“…For this operation, if sensor detect obstacle, robot will move direction no restriction to reach to last post.…”
Get full text
Learning Object -
14
Fused multivariate empirical mode decomposition (MEMD) and inverse solution method for EEG source localization
Published 2018“…We also developed an unsupervised algorithm utilizing a wavelet method to remove eye blink artifacts. …”
Get full text
Get full text
Article -
15
Fused multivariate empirical mode decomposition (MEMD) and inverse solution method for EEG source localization
Published 2018“…We also developed an unsupervised algorithm utilizing a wavelet method to remove eye blink artifacts. …”
Get full text
Get full text
Get full text
Article -
16
EEG-and MRI-based epilepsy source localization using multivariate empirical mode decomposition and inverse solution method
Published 2018“…Therefore, in this study a coupled Multivariate Empirical Mode Decomposition (MEMD) with embedded automated artifact remover algorithm and inverse solution method is proposed. …”
Get full text
Get full text
Thesis -
17
Arabic Text Clustering Methods And Suggested Solutions For Theme-based Quran Clustering: Analysis Of Literature
Published 2024journal::journal article -
18
Fault detection and diagnosis using correlation coefficients
Published 2005“…This research is to formulate a FDD algorithm based on MSPC via correlation coefficients. …”
Get full text
Get full text
Thesis -
19
Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking
Published 2012“…The first contribution is automatic detection of seed points which serve as a prerequisite step for centerline extraction algorithm. The solution consists of an algorithm for automatic collection of candidate seed points using efficient grid line searching mechanism and a validation method which uses local geometric and intensity based features as effective validation rules to discriminate between the actual seed point and false alarms. …”
Get full text
Get full text
Thesis -
20
Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur’s entropy
Published 2014“…This algorithm is used to obtain the best solution or best fitness value from the initial random threshold values, and to evaluate the quality of a solution, correlation function is used. …”
Get full text
Get full text
Article
