Patterns and variability of projected bioclimatic habitat for Pinus albicaulis in the Greater Yellowstone Area. by Tony Chang, Andrew J Hansen, Nathan Piekielek

“…Projected climate change at a regional level is expected to shift vegetation habitat distributions over the next century. …”
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Delivering Dual Polarization-Division-Multiplexing Millimeter-Wave Signals at W-Band by One Pair of Antennas by Yifan Chen, Jiangnan Xiao, Ze Dong

“…The bit error ratio (BER) is less than the new-generation forward-error-correction (eFEC) threshold of 2 × 10^−2 with CMA algorithm for equalization.…”
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Direct Collapse Pre-supermassive Black Hole Objects as Lyα Emitters by Yang Luo, Isaac Shlosman

“…The Ly α transfer is performed using a Monte Carlo algorithm, accounting for the destruction of Ly α photons and the emergence of two-photon emission. …”
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Enhancing Physical Layer Security in WPCNs With IRS and Controlled Jamming for 6G IoT Applications by Iqra Hameed, Abid Afridi, Myung-Sun Baek, Hyoung-Kyu Song

“…Specifically, we jointly optimize the downlink/uplink time allocation, IRS phase shift matrices, and jamming interference to maximize the sum secrecy throughput. …”
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Classifying Power Quality Issues in Railway Electrification Systems Using a Nonsubsampled Contourlet Transform Approach by Pampa Sinha, Kaushik Paul, I. M. Elzein, Mohamed Metwally Mahmoud, Ali M. El‐Rifaie, Wulfran Fendzi Mbasso, Ahmed M. Ewais

“…This study proposes a robust signal decomposition and classification framework combining nonsubsampled contourlet transform (NSCT) with morphological component analysis (MCA) to accurately identify PQ disturbances. NSCT's shift‐invariant, multiscale, and multidirectional capabilities allow for precise separation of oscillatory and transient components, while the split augmented Lagrangian shrinkage algorithm enhances decomposition efficiency. …”
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Road Pothole Recognition and Size Measurement Based on the Fusion of Camera and LiDAR by Yongxiang Cai, Mingxing Deng, Xin Xu, Wei Wang, Xiaowei Xu

“…We then utilize roughness feature description and the Mean-shift clustering algorithm to extract precise sets of pothole points, which allows us to determine the depth, length, width, and relative coordinates of the potholes with respect to the vehicle. …”
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PMD-Transformer: A Domain Generalization Approach for Person Re-Identification by Xingguo Jiang, Ling Yu, Guojun Lin, Yuchao Zhang

“…Domain generalization person re-identification (DG-ReID) aims to address the performance degradation caused by domain shift between the training domain and unseen target domains. …”
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Selection Seeder with a Robotic Cassette Loading Device Mounted on Self-Propelled Chassis by A. S. Chulkov, M. M. Shaykhov, A. Kh. Tekushev

“…Additionally a diagram and an operational algorithm for the robotic carousel-type cassette loading device are presented. …”
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Integrity verified lightweight ciphering for secure medical image sharing between embedded SoCs by Siva Janakiraman, Vinoth Raj R, R. Sivaraman, A. Sridevi, Har Narayan Upadhyay, Rengarajan Amirtharajan

“…The proposed method uses keys derived from the Lorentz attractor for diffusion and a 16-bit Linear Feedback Shift Register (LFSR) for pseudo-random confusion. …”
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A Time-Segmented SAI-Krylov Subspace Approach for Large-Scale Transient Electromagnetic Forward Modeling by Ya’nan Fan, Kailiang Lu, Juanjuan Li, Tianchi Fu

“…The Arnoldi algorithm is used to construct the orthogonal basis for the Krylov subspace, and the preconditioned conjugate gradient (PCG) method is applied to solve large-scale linear equations. …”
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A Portable Smartphone-Based 3D-Printed Biosensing Platform for Kidney Function Biomarker Quantification by Sangeeta Palekar, Sharayu Kalambe, Jayu Kalambe, Madhusudan B. Kulkarni, Manish Bhaiyya

“…The sensor relies on colorimetric analysis, where a reagent reacts with blood serum to produce a color shift proportional to the biomarker concentration. …”
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Efficient automated detection of power quality disturbances using nonsubsampled contourlet transform & PCA-SVM by Pampa Sinha, Kaushik Paul, Asit Mohanty, IM Elzein, Chandra Sekhar Mishra, Mohamed Metwally Mahmoud, Daniel Eutyche Mbadjoun Wapet, Abdulrahman Al Ayidh, Ahmed Althobaiti, Hany S Hussein, Thamer AH Alghamdi, Ahmed M Ewais

“…The NSCT's multiscale, multidirectional, and shift-invariant properties enable the decomposition of signals into transient and oscillatory components. …”
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A skipping spectrum sensing scheme based on deep reinforcement learning for transform domain communication systems by Ce Li, Yanhua Wu, Rangang Zhu, Ruochen Wu, Zhengkun Zhang, Zunhui Wang

“…By assigning different weights to balance sensing overhead and spectrum utilization while reducing conflicts, the algorithm’s adaptability and performance are improved. …”
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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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A Two-Point Association Tracking System Incorporated With YOLOv11 for Real-Time Visual Tracking of Laparoscopic Surgical Instruments by Nyi Nyi Myo, Apiwat Boonkong, Kovit Khampitak, Daranee Hormdee

“…In this context, advancements in deep learning, particularly through detection models and modern tracking algorithms, have opened new avenues for addressing the challenges posed by real-time laparoscopic instrument tracking. …”
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Flexible self-rectifying synapse array for energy-efficient edge multiplication in electrocardiogram diagnosis by Younghyun Lee, Hakseung Rhee, Geunyoung Kim, Woon Hyung Cheong, Do Hoon Kim, Hanchan Song, Sooyeon Narie Kay, Jongwon Lee, Kyung Min Kim

“…Then, we design a neural network training algorithm through hardware-aware approaches and conduct real-time edge ECG diagnosis. …”
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CLINICAL PRESENTATION FEATURES IN THE ORAL CAVITY PATIENTS WITH GASTROESOPHAGEAL REFLUX DISEASE by O.P. Kerzyuk, N.M. Rozhko, A.V. Kindrat

“…The prospect of our further research will be to develop an algorithm for diagnosis and treatment of oral GERD manifestations and secondary dental disease prevention. …”
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Real-time prediction of HFNC treatment failure in acute hypoxemic respiratory failure using machine learning by Xiaojie Li, Chunliang Jiang, Qingyan Xie, Huiquan Wang, Jiameng Xu, Guanjun Liu, Panpan Chang, Guang Zhang

“…Our study enrolled 427 patients with 498 treatment records. The soft-voting ensemble algorithm achieved an optimal predictive performance with an AUC of 0.839 (95% CI 0.786–0.889) for the all-features model, while logistic regression using common features achieved an AUC of 0.767 (95% CI 0.704–0.825), outperforming ROX and mROX indices. …”
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Organizational problems and possible ways of its resolve when providing emergency surgical care to patients with comorbid status in a highly specialized medical institution by I. M. Khokhlova, V. B. Kozhevnikov, K. N. Movchan, B. S. Artyushin, E. V. Bartashevich, A. V. Zharkov, E. V. Zheleznyi

“…Petersburg were studied, in which the main activity of the staff is the examination of patients with surgical infection of soft tissues (particularly, the critical limb ischemia).Results. …”
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A low-cost autonomous portable poultry egg freshness machine using majority voting-based ensemble machine learning classifiers by Jirayut Hansot, Wongsakorn Wongsaroj, Thaksin Sangsuwan, Natee Thong-un

“…The proposed Hard voting model improved accuracy and robustness of final prediction compared to a Soft voting classifier. The proposed model obtained an accuracy of 100 % when compared with the typical Yolk index method. …”
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