Search Results - (( set detection using algorithm ) OR ( java application sensor algorithm ))
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Design & Development of a Robotic System Using LEGO Mindstorm
Published 2006“…For this research, several set of robots by using Lego has been developed and it uses LeJos and C programming techniques as a platform. …”
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The process begins through the monitoring of plants using sensors connected to the Arduino device. Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. …”
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Detection and extraction features for signatures images via different techniques
Published 2019“…In this paper, three widely used feature detection algorithms, SURF, BRISK and FAST, these algorithms are compared to calculate the processing time and accuracy for set of signatures correctly. …”
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Integrating genetic algorithms and fuzzy c-means for anomaly detection
Published 2005“…We used data set from 1999 KDD intrusion detection contest.…”
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Enhanced feature selections of Adaboost training for face detection using genetic algorithm (GABoost)
Published 2007“…Experiments on a set of images from BioID database proved that by using GA to search on large number of feature types and sets, GABoost is able to obtain cascade of boosted classifiers for a face detection system that can give higher detection rates, lower false positive rates and less training time. …”
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Experimenting the dendrite cell algorithm for disease outbreak detection model
Published 2014“…The characteristics of early outbreak signal which are weak and behaved under uncertainties has brought to the development of outbreak detection model based on dendrite cell algorithm.Although the algorithm is proven can improve detection performance, it relies on several parameters which need to be defined before mining.In this study, the most appropriate parameter setting for outbreak detection using dendrite cell algorithm is examined.The experiment includes four parameters; the number of cell cycle update, the number of dendrite cell allowed to be in population, weight, and migration threshold value. …”
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Missing tags detection algorithm for radio frequency identification (RFID) data stream
Published 2019“…Thus in this research, an AC complement algorithm with hashing algorithm and Detect False Negative Read algorithm (DFR) is used to developed the Missing Tags Detection Algorithm (MTDA). …”
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Enhanced feature selections of Adaboost training for face detection using genetic algorithm
Published 2007“…With these new feature types and larger search space, Genetic Algorithm (GA) is used within the Adaboost framework, to find sets of features which can provide a better cascade of boosted classifiers with a shorter training time. …”
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10
Extended development of a Computer Aided Detection (CAD) system for brain bleed in CT / Muhammad Illyas Abdul Muhji
Published 2018“…Then the new rotation angle is used to detect bleeding in the patient and evaluate the performance of the new algorithm. …”
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Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak
Published 2019“…Therefore, there is a need to find a new valuation method that does not require large data sets yet yields the same results. Thus, this study proposes the development of algorithms to detect and classify jamming attacks using a set of parameters on the physical layer and MAC in MANET. …”
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DEVELOPMENT OF DRIVER DROWSINESS DETECTION ALGORITHM
Published 2022“…To contribute to the existing works of driver drowsiness detection systems, this project aims to develop a more useful drowsiness detection algorithm with low complexity and high performance using Python 3.10.1 software. …”
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Evaluation of fall detection classification approaches
Published 2012“…Results show that the Multilayer Perceptron algorithm is the best option among other mentioned algorithms, due to its high accuracy in fall detection.…”
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Face detection using artificial neural network approach
Published 2007“…A frontal face detection system using artificial neural network is presented. …”
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Enhanced AI-based anomaly detection method in the intrusion detection system (IDS) / Kayvan Atefi
Published 2019“…Some of the previous researchers used a feature set selection which is introduced for IDS but there still shortage in their detection rate and selected amounts of features. …”
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Bayesian Network Classifiers for Damage Detection in Engineering Material
Published 2007“…The automation of damage detection in engineering material using intelligent techniques (e.g. …”
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Swarm negative selection algorithm for electroencephalogram signals classification
Published 2009“…The SNS classification model use negative selection and PSO algorithms to form a set of memory Artificial Lymphocytes (ALCs) that have the ability to distinguish between normal and epileptic EEG patterns. …”
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Design Of Robot Motion Planning Algorithm For Wall Following Robot
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