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Strategic Deconfliction of 4D Trajectory and Perturbation Analysis for Air Traffic Control and Automation System
Published 2016-01-01“…To resolve potential conflicts during strategic 4D conflict-free trajectory planning, a protection-zone conflict-control model based on air traffic control separation constraints was proposed, in which relationships between expected arrival time and adjusted arrival time at conflicting waypoints for aircraft queues were built and transformed into dynamic linear equations under the definition of max-plus algebra. …”
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82
A Novel Audio Copy Move Forgery Detection Method With Classification of Graph-Based Representations
Published 2025-01-01“…In the first stage, the frequency range containing the forged segments is identified by extracting high-resolution spectrograms from the audio and matching keypoints within the spectrogram images to detect duplicated segments. …”
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83
R-CNN Based Vehicle Object Detection via Segmentation Capabilities in Road Scenes
Published 2025-01-01“…Next, in the feature extraction phase, the detected vehicles are analyzed using Maximally Stable Estimated Features (MSER), Geometric features and Binary Robust Invariant Scalable Keypoints (BRISK) features. We employ the Recurrent Convolutional Neural Network (R-CNN) classifier for classification. …”
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84
3D Semantic VSLAM of Indoor Environment Based on Mask Scoring RCNN
Published 2020-01-01“…Firstly, feature points of images are extracted by Binary Robust Invariant Scalable Keypoints (BRISK) algorithm. Secondly, map points of reference key frame are projected to current frame for feature matching and pose estimation, and an inverse depth filter is used to estimate scene depth of created key frame to obtain camera pose changes. …”
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85
Multifeature Alignment and Matching Network for SAR and Optical Image Registration
Published 2025-01-01“…In MFAM, point features are extracted by graph neural networks, and edge features are constructed by the feature similarity between two keypoints. Inspired by graph matching, we design linear and quadratic contrastive learning to mine the correspondence of point and edge features of intramodal and intermodal images. …”
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86
Face Recognition Method for Underground Engineering Based on Dual-Target Domain Adaptation and Discriminative Feature Learning
Published 2025-01-01“…The results show that <xref ref-type="disp-formula" rid="deqn1">(1)</xref> dual domain adversarial loss, dual CORAL loss, Blur-to-Sharp and NIR-to-VIS image reconstruction, and face keypoints intermediate domain can improve the DTDA performance of the model. …”
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87
Computed tomography enterography-based radiomics nomograms to predict inflammatory activity for ileocolonic Crohn’s disease: a preliminary single-center retrospective study
Published 2025-01-01“…Conclusions Nomograms that combined CTE-based radiomics and morphological features could serve as valuable tools for assessing inflammatory activity, thereby supporting clinical decision-making in managing CD. Keypoints. 1. Radiomics features from CTE could predict the inflammatory activity of CD.…”
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88
Research on path planning for coal mine rescue robots
Published 2024-12-01“…A hierarchical smoothing optimization strategy is employed to remove redundant points and sharp turns, reducing both the number of waypoints and the overall path length, while enhancing smoothness. …”
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89
Marigold: a machine learning-based web app for zebrafish pose tracking
Published 2025-01-01“…Results Marigold features an intuitive graphical user interface, tracks up to 10 user-defined keypoints, supports both single- and multiwell formats, and exports a range of kinematic parameters in addition to publication-quality data visualizations. …”
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