Search Results - (( java application mining algorithm ) OR ( model identification task algorithm ))
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Direct approach for mining association rules from structured XML data
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Thesis -
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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Complex word identification model for lexical simplification in the Malay language for non-native speakers
Published 2023“…Lexical Simplification (LS), a method in TS, is the task of converting words into simpler words. Past studies have shown weaknesses in the LS first task, called Complex Word Identification (CWI), where simple and complex words have been misidentified in previous CWI model. …”
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Thesis -
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Comparison between multi-objective and single-objective optimization for the modeling of dynamic systems
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Working Paper -
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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Conference or Workshop Item -
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A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Final Year Project / Dissertation / Thesis -
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An improved plant identification system by Fuzzy c-means bag of visual words model and sparse coding
Published 2020“…Performance of proposed methods surpass the classic bag of words algorithm for plant identification tasks.…”
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A Robust Firearm Identification Algorithm of Forensic Ballistics Specimens
Published 2017“…This study found that the proposed algorithm is able to perform the identical task on the noisy images with noise levels as high as 70%, while maintaining a firearm identification accuracy rate of over 90%. …”
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Conference or Workshop Item -
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Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani
Published 2016“…The algorithm simulates two important tasks that are frequently used by the human experts to identify summarizing strategies used to produce the summary sentences: 1) sentences relevance identification; and 2) summarizing strategies identification. …”
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Thesis -
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Nonlinear identification of a small scale unmanned helicopter using optimized NARX network with multiobjective differential evolution
Published 2014“…This study proposes a hybrid of conventional back propagation training algorithm for the NARX network and multiobjective differential evolution (MODE) algorithm for identification of a nonlinear model of an unmanned small scale helicopter from experimental flight data.The proposed hybrid algorithm was able to produce models with Pareto-optimal compromise between the design objectives. …”
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Optimization of modified Bouc–Wen model for magnetorheological damper using modified cuckoo search algorithm
Published 2021“…An engineering optimization application was chosen to evaluate the performance of the algorithm in complex engineering applications. The optimization task involved hysteresis parameter identification of the root mean square error between the model and an actual magnetorheological damper. …”
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Rockfall source identification using a hybrid Gaussian mixture-ensemble machine learning model and LiDAR data
Published 2019“…The availability of high-resolution laser scanning data and advanced machine learning algorithms has enabled an accurate potential rockfall source identification. …”
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Educational project on a simple voice identification using mel-frequency cepstrum coefficients and vector quantization
Published 2008“…The estimation fundamental frequency is performed with Harmonic Product Spectrum (HPS) algorithm, whilst MFCC is calculated using Discrete Cosine Transform, then, is modeled with Vector Quantization to compress the size of data to be processed and to assist identification.…”
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Proceeding Paper -
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Next generation insect taxonomic classification by comparing different deep learning algorithms
Published 2022“…Insect taxonomy lies at the heart of many aspects of ecology, and identification tasks are challenging due to the enormous inter- and intraspecies variation of insects. …”
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Article -
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Text independent speaker identification using gaussian mixture model
Published 2007“…This paper describes text-independent (TI) Speaker Identification (ID) using Gaussian mixture models (GMM). …”
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Conference or Workshop Item -
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Classification of Citrus (Rutaceae) by Using Image Processing
Published 2019“…A machine learning algorithms, SVM have been used to build species identification models. …”
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Undergraduate Final Project Report
