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learner algorithm » learning algorithm (Expand Search), learning algorithms (Expand Search), search algorithm (Expand Search)
custom algorithm » fusion algorithm (Expand Search), control algorithm (Expand Search), lasso algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
level coding » level according (Expand Search), level modeling (Expand Search), level using (Expand Search)
learner algorithm » learning algorithm (Expand Search), learning algorithms (Expand Search), search algorithm (Expand Search)
custom algorithm » fusion algorithm (Expand Search), control algorithm (Expand Search), lasso algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
level coding » level according (Expand Search), level modeling (Expand Search), level using (Expand Search)
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TIR-Learner v3: New generation TE annotation program for identifying TIRs
Published 2025“…<h3><b>Abstract</b></h3><p dir="ltr">TIR-Learner is an ensemble pipeline for Terminal Inverted Repeat (TIR) transposable elements annotation, which combines homology-based detection, de novo tools and convolutional neural network to classify candidate sequences into five major TIR superfamilies. …”
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Customer point clustering results.
Published 2025“…First, the paper systematically sorts out the classification and definition of no-fly zones as well as their impact mechanisms on UAV path planning, and elaborates on the theoretical basis of vehicle-UAV collaborative delivery, including the constituent elements of the problem, methods for quantifying customer satisfaction, and the application framework of heuristic algorithms. …”
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Basic information of customer points.
Published 2025“…First, the paper systematically sorts out the classification and definition of no-fly zones as well as their impact mechanisms on UAV path planning, and elaborates on the theoretical basis of vehicle-UAV collaborative delivery, including the constituent elements of the problem, methods for quantifying customer satisfaction, and the application framework of heuristic algorithms. …”
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Open-source code for the Spatial Optimization Model for Land Use (SSFLA-MLAS)
Published 2025“…<p dir="ltr">The open-source content is the source code of a land use spatial optimization model (SSFLA-MLAS) that couples the spatial leapfrog algorithm with multi-level multi-agent systems. …”
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