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making algorithm » cosine algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
models making » mold making (Expand Search)
element » elements (Expand Search)
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On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise
Published 2005Get full text
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CNN and HEVC Video Coding Features for Static Video Summarization
Published 2022Get full text
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A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008)
Published 2008Get full text
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A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT
Published 2023“…This training dataset helps to train the model, which allows for efficient decision-making in optimum energy usage. …”
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Nonlinear analysis of shell structures using image processing and machine learning
Published 2023“…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …”
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Automatic Video Summarization Using HEVC and CNN Features
Published 2022Get full text
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A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai
Published 2024“…These models are applied on top of ISO 55001 to create A data-driven decision-making framework for fleet management in the government sector of Dubai. …”
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A machine learning model for early detection of diabetic foot using thermogram images
Published 2021“…However, the distribution of plantar temperature may be heterogeneous, making it difficult to quantify and utilize to predict outcomes. …”
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Intelligent Rapidly-Exploring Random Tree Star Algorithm
Published 2024Get full text
doctoralThesis -
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A geographic information system method to generate long term regional solar radiation resource maps: enhancing decision-making
Published 2024“…The regression-kriging algorithm and its variants are used to calibrate satellite data, through interpolation of ground solar radiation data. …”