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Direct approach for mining association rules from structured XML data
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Thesis -
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Variable order variable stepsize algorithm for solving nonlinear Duffing oscillator
Published 2024“…By selecting the appropriate restrictions, the VOS algorithm provides a cost efficient computational code without affecting its accuracy. …”
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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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3D surface roughness measurement for scaliness scoring of psoriasis lesions
Published 2013“…The algorithm has been validated with an accuracy of 94.12. …”
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Optimization of machining parameters in turning for different hardness using multi-objective genetic algorithm / Mimi Muzlina Mukri, Nor Atiqah Zolpaka and Sunil Pathak
Published 2023“…Cutting depth, cutting speed, and feed rate are the machining variables that are used in the process of optimization. …”
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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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CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING
Published 2017“…ANN based STLF models commonly use back-propagation algorithm, which generally exhibits a slow and improper convergence that affects the forecast accuracy. …”
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Application of machine learning algorithms to predict the thyroid disease risk: an experimental comparative study
Published 2022“…The experiment shows that theANNClassifier with an F1-score of 0.957 outperforms the other nine algorithms in terms of accuracy.…”
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Sediment load forecasting from a biomimetic optimization perspective: Firefly and Artificial Bee Colony algorithms empowered neural network modeling in �oruh River
Published 2025“…The service life of downstream dams, river hydraulics, waterworks construction, and reservoir management is significantly affected by the amount of sediment load (SL). This study combined models such as the artificial neural network (ANN) algorithm with the Firefly algorithm (FA) and Artificial Bee Colony (ABC) optimization techniques for the estimation of monthly SL values in the �oruh River in Northeastern Turkey. …”
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A review of crossover methods and problem representation of genetic algorithm in recent engineering applications
Published 2020“…The algorithm operates on three simple genetic operators called selection, crossover and mutation. …”
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Comparison of meta-heuristic algorithms for fuzzy modelling of covid-19 illness’ severity classification
Published 2022“…It causes some symptoms in the affected person. COVID-19 symptoms are quite variable, ranging from none to severe sickness. …”
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Image Based Congestion Detection Algorithms And Its Real Time Implementation
Published 2015“…The methodology includes vehicle detection by using backlight pairing feature algorithm and modified Watershed algorithm. The results returned by the algorithms are transmitted and received wirelessly using the SFFSDR platform, including the use of RF, FPGA, and DSP modules for variable distances. …”
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Thesis -
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A proactive fuzzy-guided link labeling algorithm based on MIH framework in heterogeneous wireless networks
Published 2023“…Future wireless networks aim to provide a seamless connectivity among different communication networks, while offering a rich range of services with variable bandwidth and quality of service anytime and anywhere. …”
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Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed
Published 2012“…Modeling of hydrological process has been increasingly complicated since we need to take into consideration an increasing number of descriptive variables. In recent years soft computing methods like fuzzy logic and genetic algorithm are being used in modeling complex processes of hydrologic events. …”
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Seismic wave modeling and high-resolution imaging
Published 2022“…Using input seismic variables such as velocity, frequency, depth, and migration aperture, an algorithm is developed to observe the behavior of diffraction hyperbolas. …”
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Book -
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Detection of mental disorders based on the analysis of emotion, facial expressions and facial movements in a video stream
Published 2025“…Using machine learning techniques and deep learning algorithms, we aim to create an algorithm for emotion recognition using a personalized approach. …”
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