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models optimization » level optimization (Expand Search), motor optimization (Expand Search), mongoose optimization (Expand Search)
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models optimization » level optimization (Expand Search), motor optimization (Expand Search), mongoose optimization (Expand Search)
large models » tree models (Expand Search)
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Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
Published 2016Get full text
doctoralThesis -
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Machine Learning Model for a Sustainable Drilling Process
Published 2023Get full text
doctoralThesis -
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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine
Published 2024“…Lastly, a newly improved learning algorithm encompasses a modified pelican optimization algorithm (MOD-POA) and an extreme learning machine (ELM) for classification tasks. …”
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Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review
Published 2021“…In addition, this review analyzes recent automatic architecture optimization algorithms for DL-based PVPF. Next, the notable DL technologies are thoroughly described. …”
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A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata
Published 2025Get full text
doctoralThesis -
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Multi-UAV-Enabled Mobile Edge Computing IoT Systems: Joint Association and Resource Allocation Framework
Published 2024Get full text
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Autonomous Vehicles Delivery Systems: Analyzing Vehicle Routing Problems with a Moving Depot
Published 2019Get full text
doctoralThesis -
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Active distribution network type identification method of high proportion new energy power system based on source-load matching
Published 2023“…Firstly, the typical daily output scenarios of DG are extracted by clustering method, and the generalized load curve model is solved by the optimization algorithm to obtain the source load operation data; Secondly, calculate the source-load matching indicators (including matching performance, matching degree, and matching rate) according to the source load data of each region, and identify the distribution network type according to the range of the index values; Finally, several indicators are introduced to quantify the characteristics of different types of distribution networks. …”
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