YOLO-Ginseng: a detection method for ginseng fruit in natural agricultural environment by Zhedong Xie, Zhuang Yang, Chao Li, Zhen Zhang, Jiazhuo Jiang, Hongyu Guo

“…Its unique structure enables the interactive processing of cross-window feature information, expanding the deep perception field of the network while effectively preserving important weight information. …”
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Optimal Design of a Sensor Network for Guided Wave-Based Structural Health Monitoring Using Acoustically Coupled Optical Fibers by Rohan Soman, Jee Myung Kim, Alex Boyer, Kara Peters

“…The non-sorting genetic algorithm (NSGA-II) is implemented for finding the optimal solution for both problems. …”
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Maglev Derived Systems: An Interoperable Freight Vehicle Application Focused on Minimal Modifications to the Rail Infrastructure and Vehicles by Jesus Felez, Miguel A. Vaquero-Serrano, William Z. Liu, Carlos Casanueva, Michael Schultz-Wildelau, Gerard Coquery, Pietro Proietti

“…Target speed profiles were precomputed using dynamic programming, while a model predictive control algorithm determined the optimal train state and control trajectories. …”
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Non-Iterative Reconstruction and Selection Network-Assisted Channel Estimation for mmWave MIMO Communications by Jing Yang, Yabo Guo, Xinying Guo, Pengpeng Wang

“…Simulations show the NIRNet-based algorithm achieves a superior normalized mean squared error (NMSE) and an achievable sum rate (ASR) with lower complexity and reduced training overhead.…”
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Deep learning framework for fruit counting and yield mapping in tart cherry using YOLOv8 and YOLO11 by Anderson L.S. Safre, Alfonso Torres-Rua, Brent L. Black, Sierra Young

“…Fruit counting was performed using a combination of YOLO models and the BoT-SORT tracking algorithm. The resulting number of fruits was compared to the actual weights of harvested fruit from individual trees. …”
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Evaluation of future land use change impacts on soil erosion for holota watershed, Ethiopia by Abebe Chala Guder, Worku Firomsa Kabeta

“…Cropland, built-up areas, and grassland are expected to be the major contributors to future soil erosion, while forest and shrubland are likely to play a mitigating role. …”
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Quantifying conformational heterogeneity of 3D genome organization in fruit fly. by Samira Mali, Igor S Tolokh, Erik Cross, Alexey V Onufriev

“…Two of the approaches use bulk Hi-C and lamina-DamID data, while the third relies on single-cell Hi-C maps. …”
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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

“…High-frequency NSCT subbands are fused to extract oscillatory portions, while low-frequency subbands are averaged to detect transients. …”
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Development of a Short-Range Multispectral Camera Calibration Method for Geometric Image Correction and Health Assessment of Baby Crops in Greenhouses by Sabina Laveglia, Giuseppe Altieri, Francesco Genovese, Attilio Matera, Luciano Scarano, Giovanni Carlo Di Renzo

“…The approach relied on selecting the red band image as a reference, while the remaining bands were treated as moving images. …”
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Modernizing the Design Process for US Organ Allocation Policy: Toward a Continuous Distribution Policy for Kidneys by Elijah Pivo, PhD(c), James Alcorn, JD, Dimitris Bertsimas, PhD, Sarah E. Booker, MPH, Keighly Bradbrook, PhD, Thomas G. Dolan, MS, Lindsay V. Larkin, BA, Kayla R. Temple, BA, Nikolaos Trichakis, PhD

“…Methods. A new simulation algorithm was developed that reduces the time required to simulate 1 y of allocation from >6 h down to about 15 s while using the same simulation model as the preexisting simulator used by the Organ Procurement and Transplantation Network. …”
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Evaluating a digital prehabilitation tool in patients with colorectal surgery: protocol for a multisite randomised controlled trial by George J Chang, Emily Finlayson, Cindy Kin, Kelsey Ogomori, Jeanette Broering, Camille Rogine

“…These patients are at increased risk of adverse outcomes following major cancer surgery. While prehabilitation has been shown to mitigate this risk, multiple barriers to implementation remain. …”
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Predictive Modeling of Heart Failure Outcomes Using ECG Monitoring Indicators and Machine Learning by Jia Liu, Dan Zhu, Lingzhi Deng, Xiaoliang Chen

“…Feature selection employed Gini importance and the Boruta algorithm, while SHAP values provided model interpretability. …”
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Polygraph and audio synchronization applied to apnea event analysis based on non-negative matrix factorization by Francisco David Gonzalez-Martinez, Juan De La Torre-Cruz, Julio Jose Carabias-Orti, Francisco Jesus Canadas-Quesada, Alejandro Antonio Salvador-Navarro, Jose Ranilla, Lyam Lamrini-H. Laarbi

“…The primary clinical methods for OSA detection are polysomnography (PSG) and polygraphy (PG). While these tests provide an accurate assessment of the patient’s condition, they remain impractical for large-scale population screening. …”
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Convex Optimization of Markov Decision Processes Based on Z Transform: A Theoretical Framework for Two-Space Decomposition and Linear Programming Reconstruction by Shiqing Qiu, Haoyu Wang, Yuxin Zhang, Zong Ke, Zichao Li

“…The proposed approach introduces three mathematical innovations: (i) a spectral clustering mechanism that reduces state-space dimensionality while preserving Markovian properties, (ii) a Lagrangian dual formulation with adaptive penalty functions to handle operational constraints, and (iii) a warm start algorithm accelerating convergence in high-dimensional convex optimization. …”
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The Impact of Simulated Spectral Noise on Random Forest and Oblique Random Forest Classification Performance by Na’eem Hoosen Agjee, Onisimo Mutanga, Kabir Peerbhay, Riyad Ismail

“…Despite machine learning algorithms being regarded as robust classifiers that generalize well under unfavourable noisy conditions, the extent of this is poorly understood. …”
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Prototypical Few-Shot Learning for Histopathology Classification: Leveraging Foundation Models With Adapter Architectures by Kazi Rakib Hasan, Sijin Kim, Junghwan Cho, Hyung Soo Han

“…The iBOT model with multilayer perception adapters fine-tuned using the bias-diminishing cosine similarity-based prototypical network algorithm achieved remarkable accuracy, reaching 95.04% on Camelyon17 Wilds and 96.55% on the NCT dataset with 20 images per class while using less than 0.002% of the dataset. …”
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Estimating the summer residual flow based on sea surface temperature within a narrow strait by Juncheng Xie, Peng Bai, Xiaowei Xu, Lingling Xie, Mingming Li, Ying Gao

“…Addressing this gap, we developed an innovative algorithm to inversely calculate residual flow using satellite-derived sea surface temperature (SST) data, with a case study on the tide-dominated narrow Qiongzhou Strait in the northern South China Sea. …”
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Reconstruction of reservoir rock using attention-based convolutional recurrent neural network by Indrajeet Kumar, Anugrah Singh

“…These reservoir rock images are crucial for the digital characterization of the reservoir. We propose a novel algorithm consisting of the convolutional neural network, an attention mechanism, and a recurrent neural network for the reconstruction of reservoir rock or porous media images. …”
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Dynamic UAV Inspection Boosted by Vehicle Collaboration Under Harsh Conditions in the IoT Realm by Dai Hou, Zhiheng Yao, Bo Jin, Xingwei Cai, Huan Xu, Jiaxiang Xu, Tianping Deng

“…Compared to traditional algorithms, KGTSA shortens data collection time and adapts better to dynamic IoT environments for real-world efficiency.…”
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Classification of Chicken Carcass Breast Blood-Related Defects Using Hyperspectral Imaging Combined with Convolutional Neural Networks by Liukui Duan, Juanfang Bao, Hao Yang, Liuqian Gao, Xu Zhang, Shengjie Li, Huihui Wang

“…To process hyperspectral data, the Improved Firefly Band Selection Algorithm was constructed with the 1-D CNN CBD classification model as the objective function, achieving a reduction in the dimensionality of hyperspectral data. …”
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