Search Results - (( java application tree algorithm ) OR ( dramatic implementation model algorithm ))
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Mining Sequential Patterns using I-PrefixSpan
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Feedforward backpropagation, genetic algorithm approaches for predicting reference evapotranspiration
Published 2015“…The capabilities of feedforward backpropagation neural networks (FFBP) in predicting reference evapotranspiration (ET0) are evaluated in this paper in comparison with the empirical FAO Penman-Monteith (P-M) equation, later a model of FFBP+Genetic Algorithm (GA) is implemented for the same evaluation purpose. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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An automatic diacritization algorithm for undiacritized Arabic text
Published 2017“…Moreover, this research is to implement and evaluate the accuracy of the algorithm for dialectal Arabic text. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…In this paper, we propose an improvement of pattern growth-based PrefixSpan algorithm, called I-PrefixSpan. The general idea of I-PrefixSpan is to use the efficient data structure for general tree-like framework and separator database to reduce the execution time and memory usage. …”
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A technical framework analysis of digital twin control algorithms for HVAC-BMS Integration and implementation challenges for Malaysian green buildings
Published 2025“…Break-even points typically occur between 2.2 - 3.1 years, with ROI averaging 120% - 150% over five years. Security implementation increased dramatically from 34% prior to 2022 to 87%.…”
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Students’ attitude towards video-based learning: machine learning analysis with rapid software / Abdullah Sani Abd Rahman ... [et al.]
Published 2022“…The recent computer and Internet technologies have dramatically impacted many facets of education. There has been a rapid rise mainly since the COVID19 pandemic in the use of video-based learning implemented via online classroom setting. …”
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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AI powered asthma prediction towards treatment formulation : An android app approach
Published 2022“…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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Development of low-overhead soft error mitigation technique for safety critical neural networks applications
Published 2021“…A comprehensive vulnerability analysis was performed using a SASSIFI fault injector at the CNN AlexNet and DenseNet201 models: layers, kernels, and instructions to show both models’ resilience and identify the most vulnerable portions and harden them by injecting them while implemented on NVIDIA’s GPUs. …”
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Simulation of quantum growing network / Ong Boon Teong
Published 2003“…At such scales, the current model of computation, based on a mathematical idealization known as the Universal Turing Machine, is simply invalid. …”
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Beyond the classroom: digital language learning in the Malaysian context
Published 2024“…Break-even points typically occur between 2.2 - 3.1 years, with ROI averaging 120% - 150% over five years. Security implementation increased dramatically from 34% prior to 2022 to 87%.…”
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Machine learning techniques for flood forecasting
Published 2025“…The Forecasting was implemented for current (1986?2000) and near future (2020?…”
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Structural crack detection using deep convolutional neural network / Raza Ali
Published 2022“…For balanced data, existing DL models attempt to segment both crack pixels and non-crack pixels equally. …”
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Assessment of proposed lateral resistance system used with framed structures
Published 2016“…The research methodology in the current study can be categorized into two general sections include of numerical simulation and experimental test.Configurations of devices and mathematical models are established. The specific finite element algorithms are developed and implemented in the finite element program code for the nonlinear analysis of RC framed buildings. …”
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