ParaU-Net: An improved UNet parallel coding network for lung nodule segmentation by Yingqi Lu, Xiangsuo Fan, Jinfeng Wang, Shaojun Chen, Jie Meng

“…Traditional segmentation methods face several challenges, such as the overlap between nodules and surrounding anatomical structures like blood vessels and bronchi, as well as the variability in nodule size and shape, which complicates the segmentation algorithms. …”
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Integrating LLM-based code optimization with human-like exclusionary reasoning for computational education by Yi Rong, Tianfeng Du, Roubing Li, Wenting Bao

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Speech rhythms and multiplexed oscillatory sensory coding in the human brain. by Joachim Gross, Nienke Hoogenboom, Gregor Thut, Philippe Schyns, Stefano Panzeri, Pascal Belin, Simon Garrod

“…Cortical oscillations are likely candidates for segmentation and coding of continuous speech. …”
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Panoptic Segmentation Method Based on Feature Fusion and Edge Guidance by Lanshi Yang, Shiguo Wang, Shuhua Teng

“…Panoptic segmentation, a pivotal research direction in computer vision, unifies pixel-level object and background recognition within a scene, crucial for applications like autonomous driving. …”
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Timing and Speculative Execution Attacks: Defeating State-of-the-Art Code-Reuse Defenses by Zhang Tianning, Cai Miao, Zhang Diming, Huang Hao

“…Recently, numerous effective defensive strategies like ASLR and execute-no-read have been put forward to counter code-reuse attacks in software systems. …”
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Generative adversarial DacFormer network for MRI brain tumor segmentation by Muqing Zhang, Qiule Sun, Yutong Han, Mingli Zhang, Wei Wang, Jianxin Zhang

“…Abstract Current brain tumor segmentation methods often utilize a U-Net architecture based on efficient convolutional neural networks. …”
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A User-Friendly Machine Learning Pipeline for Automated Leaf Segmentation in by Michelle Lynn Yung, Kamila Murawska-Wlodarczyk, Alicja Babst-Kostecka, Raina Margaret Maier, Nirav Merchant, Aikseng Ooi

“…In addition, we integrate QR codes for automated sample identification and benchmark multiple QR code decoding libraries, evaluating their robustness under real-world imaging conditions like distortion and lighting variation. …”
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A simple preprocessing approach for improving semantic segmentation in unsupervised domain adaptation by Shahaf Ettedgui, Shady Abu-Hussein, Raja Giryes

“…In this work, we propose ProCST, a novel preprocessing framework that translates source images into target-like images while preserving essential semantic content. …”
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MergeBot: A platform of semi-structured merge conflict resolution for C/C++ code by Hua He, Xiaofan Liu, Lei Xu, Guanghui Mei, Jifeng Xuan

“…In software version control systems, like Git, merge conflicts typically arise when multiple developers edit the same segment of a source file from different branches. …”
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Technological change in the wine market? The role of QR codes and wine apps in consumer wine purchases by Lindsey M. Higgins, Marianne McGarry Wolf, Mitchell J. Wolf

“…Using a sample of 631 US wine consumers, this research aims to identify the role of mobile applications and QR codes in the wine purchase decision. Results suggest that wine consumers that consider themselves wine connoisseurs or experts, enjoy talking about wine, and are interested in wine that is produced locally, organically, or sustainably are more likely to employ technology in their wine purchase decision. …”
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New Method of Impact Localization on Plate-like Structures Using Deep Learning and Wavelet Transform by Asaad Migot, Ahmed Saaudi, Victor Giurgiutiu

“…The generated WT diagrams of these segments’ signals were cropped and resized using MATLAB code to be used as input image datasets to train, validate, and test the proposed CNN model. …”
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HOLa: HoloLens Object Labeling by Schwimmbeck Michael, Khajarian Serouj, Holzapfel Konstantin, Schmidt Johannes, Remmele Stefanie

“…In the context of medical Augmented Reality (AR) applications, object tracking is a key challenge and requires a significant amount of annotation masks. As segmentation foundation models like the Segment Anything Model (SAM) begin to emerge, zero-shot segmentation requires only minimal human participation obtaining high-quality object masks. …”
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Scaled Fenwick Trees by Matthew Cushman

“…It enables an efficient on-chain encoding and processing of an order book-like data structure used to manage lending, interest, and collateral.…”
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LKDA-Net: Hierarchical transformer with large Kernel depthwise convolution attention for 3D medical image segmentation. by Ming Li, Jingang Ma, Jing Zhao

“…For example, hierarchical transformers like Swin UNETR have reintroduced several prior knowledge of convolutional networks, further enhancing the model's volumetric segmentation ability on three-dimensional medical datasets. …”
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A trans-activator-like structure in RCNMV RNA1 evokes the origin of the trans-activator in RNA2. by Laura R Newburn, K Andrew White

“…However, by examining results from RCNMV genome analyses in the ViRAD virus (re-)annotation database, a putative functional RNA element in the polymerase-coding region of RNA1 was identified. Structural and functional analyses revealed that the novel RNA element adopts a TA-like structure (TALS) and, similar to the requirement of the TA for RNA2 replication, the TALS is necessary for the replication of RNA1. …”
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Fine-Tunned Segment Anything Model (SAM) for Reservoir Extractions Compared With Popular CNNs: An Experiment for Space-Borne Synthetic-Aperture Radar Images by Nguyen Hong Quang, Hanna Lee, Eui-Myoung Kim, Gihong Kim

“…This study&#x2019;s accuracy assessment showed the SAM was the most precise model (accuracy overall <inline-formula> <tex-math notation="LaTeX">$\approx ~0.95$ </tex-math></inline-formula>) followed by the DeepLab(ResNet50), YOLOv8, U-net(ResNet50), and DeepLab(EfficientNet) model. Almost all models segmented highly accurate lake areas fitted well with ground-truth masks, nevertheless, the SAM (code link) presented the most well-performance model. …”
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Optimizing plane detection in point clouds through line sampling by José María Martínez-Otzeta, Jon Azpiazu, Iñigo Mendialdua, Basilio Sierra

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A FastSurfer Database for Age‐Specific Brain Volumes in Healthy Children: A Tool for Quantifying Localized and Global Brain Volume Alterations in Pediatric Patients by Ibrahim Zughayyar, Martin Bauer, Christopher Güttler, Ana Luisa de Almeida Marcelino, Fabienne Kühne, Claudia Buss, Christine Heim, Annette Aigner, Anna Tietze, Andrea Dell'Orco

“…Automated segmentation tools like FreeSurfer can identify differences in brain volumes between healthy and non‐healthy individuals. …”
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Genome-wide identification and characterization of the CCT gene family in Chinese cabbage (Brassica rapa) response to abiotic stress by Haoqi Liu, Zhiyuan Yin, Mengping Qiu, Yan Yang, Ye Xu, Han Wang, Min Yan, Guohua Xu

“…Abstract Background The CCT (CONSTANS, CONSTANS-LIKE and TOC1) gene family plays a crucial role in regulating diurnal rhythms and responding to abiotic stress, which significantly impacts crop growth, development, and yield. …”
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SVPDSA: Selective View Perception Data Synthesis With Annotations Using Lightweight Diffusion Network by S. Raghavendra, Vijayalakshmi, Vainidhi, S. K. Abhilash, Venu Madhav Nookala, P. V. Arun Kumar, Ramyashree

“…A decoder module is introduced to expand latent code features and generate labeled annotations for tasks such as semantic segmentation, instance segmentation, and depth estimation. …”
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