FMCW Radar-Aided Navigation for Unmanned Aircraft Approach and Landing in AAM Scenarios: System Requirements and Processing Pipeline by Paolo Veneruso, Luca Manica, Enrico Miccio, Roberto Opromolla, Carlo Tiana, Giacomo Gentile, Giancarmine Fasano

“…The radar is designed to detect high-reflectivity targets placed in the landing area and uses a matching algorithm to associate these detections with their known positions, enabling reliable corrections to the aircraft navigation state. …”
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End-to-end deep learning pipeline for real-time Bragg peak segmentation: from training to large-scale deployment by Cong Wang, Valerio Mariani, Frédéric Poitevin, Matthew Avaylon, Jana Thayer

“…We present an end-to-end deep learning pipeline with three key components: (1) a data engine that combines traditional algorithms with our peak matching algorithm to generate high-quality training data at scale, (2) a modular architecture that scales from a few million to hundreds of million parameters, enabling us to train large expert-level models offline while deploying smaller, distilled models at the edge, and (3) a decoupled producer-consumer architecture that separates specialized data source layer from model inference, enabling flexible deployment across diverse computing environments. …”
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Design of a Heterogeneous-Based Network Intrusion Detection System and Compiler by Zhigui Lin, Xiaofeng Zhang, Qi Liu, Jun Cui

“…We construct an FPGA + CPU heterogeneous detection system featuring a five-tuple segmented matching architecture, which integrates hash bitmap and shift-or algorithms to achieve fast-pattern matching. …”
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AGEN: Adaptive Error Control-Driven Cross-View Geo-Localization Under Extreme Weather Conditions by Mengmeng Xu, Hongxiang Lv, Hai Zhu, Enlai Dong, Fei Wu

“…Inspired by the strengths of the DINOv2 network, particularly its strong performance in global feature extraction, while acknowledging its limitations in capturing fine-grained details, we integrate the DINOv2 network with the Local Pattern Network (LPN) algorithm module to extract valuable classification features more efficiently. …”
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Advancing Sika deer detection and distance estimation through comprehensive camera calibration and distortion analysis by Sandhya Sharma, Stefan Baar, Bishnu P. Gautam, Shinya Watanabe, Satoshi Kondo, Kazuhiko Sato

“…Using the cv2.TM_CCOEFF_NORMED template matching algorithm with templates scaled from 0.01 to 2.0 and a confidence threshold of 0.6, the resolution threshold was defined as the distance at which the observed circle size deviated from the expected size. …”
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A New Comprehensive Model to Simulate and Optimize Fluid Flow in Complex Well‐Formation System for In Situ Leaching Uranium by Zhaokun Li, Xuebin Su, Yangquan Jiao, Yu Zhang, Yang Qiu, Xiaodong Hu

“…It achieves ISL of uranium through the deployment of injection and extraction vertical well patterns. The optimization of parameter matching between injection and extraction wells is key to improving the efficiency of uranium development. …”
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Pain in the Foot: Pathogenesis, Diagnosis and Treatment by Yatskevych A.

“…The causes and pathogenetic mechanisms of pain in the foot are extremely diverse, the patterns of their occurrence and the combination are insufficiently studied. …”
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Individual tree segmentation of airborne and UAV LiDAR point clouds based on the watershed and optimized connection center evolution clustering by Yi Li, Donghui Xie, Yingjie Wang, Shuangna Jin, Kun Zhou, Zhixiang Zhang, Weihua Li, Wuming Zhang, Xihan Mu, Guangjian Yan

“…Here, we propose a new individual tree segmentation method, which couples the classical and efficient watershed algorithm (WS) and the newly developed connection center evolution (CCE) clustering algorithm in pattern recognition. …”
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Etude on Recursion Elimination by Nikolay Shilov

“…In the paper, we examine just a single example (but new we hope) of recursion elimination via program manipulations and problem analysis. The recursion pattern of the example matches descending dynamic programming but is neither tail-recursion nor corecursion pattern. …”
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Nailfold videocapillaroscopy in patients with deficiency of adenosine deaminase 2 (DADA2): a case-control study by Pietro Francesco Bica, Caterina Matucci-Cerinic, Elvis Hysa, Andrea Cere, Silvia Rosina, Stefano Volpi, Roberta Caorsi, Alberto Sulli, Sabrina Paolino, Vanessa Smith, Maurizio Cutolo, Marco Gattorno

“…Findings NVC data of 9 DADA2 patients (mean age 18 ± 6 y) followed at the Children Gaslini Institute were retrospectively retrieved and compared to age and sex cross matched 11 HCs and 7 with primary RP patients. The NVC parameters were classified according to the EULAR SG Fast Track Algorithm and distinguished between scleroderma-pattern (giant capillaries and/or loss of capillaries combined with abnormally shaped capillaries) and non-scleroderma patterns (non-specific NVC alterations). …”
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A cross-sectional study of evaluating cervical spondylotic myelopathy based on gait and plantar pressures by Xuhong Zhang, Zichuan Wu, Hanlin Song, Aochen Xu, Junbin Liu, Junzhe Sheng, Baifeng Sun, Min Qi, Chen Xu, Yang Liu

“…Gender, age, and body mass index were employed as matching variables, resulting in 102 matched pairs. …”
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Estimated Disease Progression Trajectory of White Matter Disruption in Unilateral Temporal Lobe Epilepsy: A Data-Driven Machine Learning Approach by Daichi Sone, Noriko Sato, Yoko Shigemoto, Iman Beheshti, Yukio Kimura, Hiroshi Matsuda

“…Methods: We investigated the disease progression patterns of WM damage and its associations with clinical metrics. …”
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Lysophospholipid metabolism, clinical characteristics, and artificial intelligence-based quantitative assessments of chest CT in patients with stable COPD and healthy smokers by Qiqiang Zhou, Lvxinhe Xing, Mi Ma, Bianba Qiongda, Deyuan Li, Ping Wang, Yahong Chen, Ying Liang, Meilang ChuTso, Yongchang Sun

“…We determined serum LysoPLs in 20 patients with stable COPD and 20 healthy smokers using liquid chromatography–mass spectrometry (LC–MS) and matching with the lipidIMMS library, and integrated these data with spirometry, systemic inflammation markers, and quantitative chest CT generated by an automated 3D-U-Net artificial intelligence algorithm model. …”
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Identification of surface thermal environment differentiation and driving factors in urban functional zones based on multisource data: a case study of Lanzhou, China by Yixuan Wang, Yixuan Wang, Shuwen Yang, Shuwen Yang, Shuwen Yang

“…This model is based on multisource data and considers the perspective of urban functional supply and demand matching. We then analyzed the spatial differentiation and driving factors of the relationship between urban functional zones and the surface thermal environment using the random forest algorithm, bivariate spatial autocorrelation, geographical detectors, and geographically weighted regression models. …”
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Development of wireless electronic nose and using of remote monitoring by HU Ying, WANG Jun

“…At the same time, selecting the appropriate pattern recognition algorithm can make the system more accurate.…”
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Vision-Based Grasping Method for Prosthetic Hands via Geometry and Symmetry Axis Recognition by Yi Zhang, Yanwei Xie, Qian Zhao, Xiaolei Xu, Hua Deng, Nianen Yi

“…A mapping relationship between object geometry and grasp patterns is established. Then, target object images are captured using binocular depth cameras, and the YOLO algorithm is employed for object detection. …”
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Automated Text Structuring: Natural Language Processing and Regular Expressions in XML Tag Filling by Ivan P. Malashin, Vadim S. Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksei S. Borodulin

“…NLP enhances content understanding, while regex enables precise pattern matching. This approach streamlines the conversion process, reducing manual effort and ensuring standardized tagging. …”
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A Transformer-Based Approach for Efficient Geometric Feature Extraction from Vector Shape Data by Longfei Cui, Xinyu Niu, Haizhong Qian, Xiao Wang, Junkui Xu

“…These vectors facilitate downstream tasks like shape classification, pattern recognition, and cartographic generalization. …”
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Across-Beam Signal Integration Approach with Ubiquitous Digital Array Radar for High-Speed Target Detection by Le Wang, Haihong Tao, Aodi Yang, Fusen Yang, Xiaoyu Xu, Huihui Ma, Jia Su

“…This algorithm first corrects ABU by rotating beam–domain coordinates to align scattered energy into the final beam unit, reshaping the signal distribution pattern. …”
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Vision-Based 6D Pose Analytics Solution for High-Precision Industrial Robot Pick-and-Place Applications by Balamurugan Balasubramanian, Kamil Cetin

“…A robust software infrastructure developed in LabVIEW (ver.2019) integrated with the NI Vision (ver.2019) library processes the images through a series of steps, including particle filtering, equalization, and pattern matching, to determine the X-Y positions and Z-axis rotation of the object. …”
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