Search Results - (( pattern organization learning algorithm ) OR ( java application sensor algorithm ))
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Multilevel learning in Kohonen SOM network for classification problems
Published 2006“…Classification is one of the most active research and application areas of neural networks. Self-organizing map (SOM) is a feed-forward neural network approach that uses an unsupervised learning algorithm has shown a particular ability for solving the problem of classification in pattern recognition. …”
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Thesis -
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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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Underwater Image Recognition using Machine Learning
Published 2024“…It encompasses the procedure for feeding algorithms information to create the algorithms realize patterns in the data and then increase the performance of the algorithms. …”
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Deep plant: A deep learning approach for plant classification / Lee Sue Han
Published 2018“…The existing CNN based approaches can only capture the similar region-wise patterns within an image but not the structural patterns of a plant composed of varying number of plant views images composed of one or more organs. …”
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Thesis -
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Characterization of water quality conditions in the Klang River Basin, Malaysia using self organizing map and K-means algorithm
Published 2015“…The self organizing map (SOM) combined with the K-means algorithm arranged the data based on the relationships of 25 variables. …”
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Survival versus non-survival prediction after acute coronary syndrome in Malaysian population using machine learning technique / Nanyonga Aziida
Published 2019“…Self-Organizing Feature (SOM) was used to visualize and identify the relationship and pattern between factors affecting mortality after ACS. …”
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Herbs recognition based on chemical properties using machine learning algorithm
Published 2023“…This method has demonstrated promising results in identifying herb species, and the classification method based on machine learning algorithms has proven successful in recognizing and distinguishing herb species…”
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Preserving the topology of self-organizing maps for data analysis: A review
Published 2020“…In Kohonen's Self-Organizing Maps (SOM) algorithm, preserving the map structure to represent the real input patterns appears to be a significant process. …”
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Conference or Workshop Item -
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Design Of Robot Motion Planning Algorithm For Wall Following Robot
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Monograph -
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Human activity recognition via accelerometer and gyro sensors
Published 2023“…To implement the data engineering system proposed, two mobile applications, SensorData and SensorDataLogger with user-friendly interfaces and intuitive functionalities are developed using Java programming language and Android Studio. …”
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Final Year Project / Dissertation / Thesis -
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A performance comparison study of pattern recognition systems for volatile organic compounds detection / Emilia Noorsal, Muhammad Khusairi Osman and Norfadzilah Mokhtar
Published 2007“…It is well known that the use of a gas sensor array and pattern recognition system offers an effective technique for the identification of volatile organic molecules because of the poor selectivity of a lot of other gas sensors. …”
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Research Reports -
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Immune network algorithm in monthly streamflow prediction at Johor river
Published 2014“…AIS has the abilities of self-organizing, memory, recognition, adaptive and ability of learning inspired from the immune system. …”
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Proceeding Paper -
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Immune network algorithm in monthly streamflow prediction at Johor river
Published 2023“…AIS has the abilities of self-organizing, memory, recognition, adaptive and ability of learning inspired from the immune system. …”
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Immune network algorithm in monthly streamflow prediction at Johor river
Published 2015“…AIS has the abilities of self-organizing, memory, recognition, adaptive and ability of learning inspired from the immune system. …”
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Social media mining: a genetic based multiobjective clustering approach to topic modelling
Published 2021“…Clustering defines or organizes a group of patterns or objects into clusters, allows high-dimensional data to be presented in an apprehensive fashion to humans. …”
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A lightweight graph-based pattern recognition scheme in mobile ad hoc networks.
Published 2012“…The comparison study between DGHN and the iterative, highly computational self organizing map (SOM) is also reviewed. Both algorithms show comparable detection results. …”
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Book Section -
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Social media mining: a genetic based multiobjective clustering approach to topic modelling
Published 2021“…Clustering defines or organizes a group of patterns or objects into clusters, allows high-dimensional data to be presented in an apprehensive fashion to humans. …”
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