GPU Ray Tracing for the Analysis of Light Deflection in Inhomogeneous Refractive Index Fields of Hot Tailored Forming Components by Pascal Kern, Max Brower-Rabinowitsch, Lennart Hinz, Markus Kästner, Eduard Reithmeier

“…Although hybrid components are key to meeting modern technical requirements and saving resources, they exhibit complex shrinkage behavior due to differing thermal expansion coefficients. …”
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Enhanced Fault Diagnosis in Milling Machines Using CWT Image Augmentation and Ant Colony Optimized AlexNet by Niamat Ullah, Muhammad Umar, Jae-Young Kim, Jong-Myon Kim

“…A contrast enhancement filter is applied to highlight key features, thereby improving the model’s learning and fault detection capability. The enhanced images are fed into a modified AlexNet model with three residual blocks to efficiently extract both spatial and temporal features from the CWT images. …”
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Big Data for Veterinary Sciences: Instructions for Use by Oscar TAMBURIS

“…In livestock management, the integration of smart cameras and artificial intelligence supports real-time health monitoring and predictive analytics, helping farmers detect early signs of disease, optimize resource allocation, and improve production efficiency. …”
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IKEChecker: grammar-guided stateful fuzzer for IKE protocol implementions by ZHENG Yonghui, ZHAO Dongliang, GU Chunxiang, ZHANG Xieli

“…By comparing IKEChecker with other fuzz testing tools, its efficiency in vulnerability detection was evaluated.…”
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HASSDE-NAS: Heuristic–Adaptive Spectral–Spatial Neural Architecture Search with Dynamic Cell Evolution for Hyperspectral Water Body Identification by Feng Chen, Baishun Su, Zongpu Jia

“…This approach outperforms existing methods in delineating narrow river systems and resolving water bodies with weak spectral contrast under complex backgrounds, such as vegetation or cloud shadows. …”
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A Platform For Solar Energy An Alternative Source For Kabale District at Kabale University. by Amanya, Devis

“…In terms of cost, it is cheaper, less complex, and still achieves the required efficiency.…”
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Serum-biomarker-based population screening model for hepatocellular carcinoma by Wenmin Liao, Wenbin Lin, Zhonglian He, Chenyang Feng, Yuying Liu, Zixian Wang, Ruizhi Wang, Meifang He, Shuqin Dai, Ying Sun, Wei Wei, Peisong Chen, Chaofeng Li

“…This two-stage model offers a practical, cost-efficient tool for early HCC detection, addressing a significant public health need.…”
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Image quality evaluation of imaging skins, a novel stretchable X-ray detector for intraoperative tumour imaging by Solène Dietsch, Harry Allan, Lukas Lindenroth, Robert Moss, Agostino Stilli, Danail Stoyanov

“…In addition, we examined how the stretching capabilities of these detectors influenced the image quality. Our imaging detection stack demonstrated consistent linearity across various fabrication parameters with the coefficient of determination ( $$R^2$$ ) more than 0.99998, showing that the silicone elastomer does not affect the conversion of the X-ray into light. …”
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Convolutional block attention gate-based Unet framework for microaneurysm segmentation using retinal fundus images by C. B. Vanaja, P. Prakasam

“…However, because of the complex background and varied lighting factors, it is challenging to recognize microaneurysms in fundus images automatically. …”
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Assessment of the applicability of multi-satellite precipitation products on the Loess Plateau over the past four decades by Rui Liu, Liu Yang, Zhengguo Shi, Mengdao Xing

“…The findings indicate that the CPC is the most suitable product for inverting daily precipitation on the LP, with the highest correlation coefficient of 0.774 between CPC and observations, and the highest Probability of Detection of 0.667. …”
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Multi-Mode Coupling Enabled Broadband Coverage for Terahertz Biosensing Applications by Dongyu Hu, Mengya Pan, Yanpeng Shi, Yifei Zhang

“…Conventional quasi-bound states in the continuum (QBIC) metasurfaces achieve high quality factor (Q) but suffer from narrow bandwidth, while angle-scanning strategies for broadband detection require complex large-angle illumination. …”
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Real defect partial discharge identification method for power cables joints based on integrated PJS-M and GA-SVM algorithm with multi-source fusion by Ling-Xuan Zhang, Yi-Yang Zhou, Shen-Jiong Yao, Jia-Luo Chai, Ying-Jing Chen, Zhou-Sheng Zhang

“…These results demonstrate that the proposed method significantly improves the accuracy of identifying complex real-type defects in 10 kV cable intermediate joints under multi-source feature conditions, providing a reliable diagnostic basis and technical reference for partial discharge detection in industrial applications.…”
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Natural language processing reveals network structure of pain communication in social media using discrete mathematical analysis by Nobuo Okui, Shigeo Horie

“…The constructed network, comprising 5,630 nodes and 86,972 edges, revealed complex patterns of pain-related language use. The network exhibited a sparse overall density (0.0055) but a high clustering coefficient (0.7700), indicating the presence of distinct thematic communities. …”
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Calculation Method of Phenotypic Traits for Tomato Canopy in Greenhouse Based on the Extraction of Branch Skeleton by Xiaodan Ma, Qiu Jiang, Haiou Guan, Lu Wang, Xia Wu

“…The experimental results show that the detection accuracies of branches and leaves were above 88% and 93%, respectively, and the coefficients of determination between the calculated and measured values of mean leaf inclination, digital biomass, and light penetration depth were 0.9419, 0.9612, and 0.9093, respectively. …”
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Typical characteristics of deep coal seams with high outburst risk, outburst inducing mechanism and prevention measures by Baiquan LIN, Wei YANG, Tong LIU

“…With the continuous increase in mining depth, the outburst risk of coal seam has significantly increased, with both the frequency and intensity of outbursts rising noticeably, posing huge challenges to the safe and efficient development of deep coal resources. This paper first analyzes the complex stress environment faced by coal seams at different depths in deep areas, then systematically studies the typical characteristics of high-risk coal seams in deep regions, elucidates the mechanisms of outburst induction in deep mining, and finally proposes countermeasures for preventing outburst disasters in deep mining. …”
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Research on Parameter Influence of Offshore Wind Turbines Based on Measured Data Analysis by Renfei Kuang, Jinhai Zhao, Tuo Zhang, Chengyang Li

“…However, under complex external conditions and varying structural parameters, existing methods struggle to accurately and quickly detect damage. …”
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Research on Self-Diagnosis and Self-Healing Technologies for Intelligent Fiber Optic Sensing Networks by Ruiqi Zhang, Liang Fan, Dongzhu Lu

“…To address the issue of insufficient reliability of fiber optic sensing networks in complex environments, this study proposes a self-diagnosis and self-healing method based on intelligent algorithms. …”
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Nonlocal flat optics for size-selective image processing and denoising by Sandeep Kumar Chamoli, Chunqi Jin, Yandong Fan, Mehdi Kiani, Heedong Goh, Chen Huang, Shuyu Guo, Yuntong Wang, Fei Zhu, Guohua Xing, Bo Li, Tian Bai, Andrea Alù, Wei Li

“…So far, the proposed devices have been focusing on canonical operations, such as differentiations to perform edge detection across all objects in a complex scene. Yet, undesired background noise and clutter can hinder such operations, requiring target selection with digital post-processing which inherently limits the overall accuracy, efficiency and speed. …”
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A novel approach to skin disease segmentation using a visual selective state spatial model with integrated spatial constraints by Yu Bai, Hai Zhou, Hongjie Zhu, Shimin Wen, Binbin Hu, Haotian Li, Huazhang Wang, Daji Ergu, Fangyao Liu

“…To address limitations in existing approaches, we introduce a novel U-shaped segmentation architecture based on our Residual Space State Block. This efficient model, termed ‘SSR-UNet,’ leverages bidirectional scanning to capture both global and local features in image data, achieving strong performance with low computational complexity. …”
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Study on the fusion of improved YOLOv8 and depth camera for bunch tomato stem picking point recognition and localization by Guozhu Song, Jian Wang, Rongting Ma, Yan Shi, Yaqi Wang

“…The experimental results demonstrate that the algorithm accurately identifies and locates the picking points of string tomatoes under complex background conditions, with the identification success rate of the picking points reaching 91.3%. …”
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