Application of Generative Adversarial Networks Based on Global and Local Feature Information in Hippocampus Segmentation by WEI Zhihong, KONG Xudong, KONG Yan, YAN Shiju, DING Yang, WEI Xianding, KONG Dong, YANG Bo

“…Second, since the discriminator is essentially a binary classifier and is not sensitive to small local changes, we introduced a GAN method of dual discriminator network structure that integrates both global and local feature information. Finally, a total loss function was designed to balance GAN adversarial loss and 3D u-net segmentation loss. …”
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DSC-Net: Enhancing Blind Road Semantic Segmentation with Visual Sensor Using a Dual-Branch Swin-CNN Architecture by Ying Yuan, Yu Du, Yan Ma, Hejun Lv

“…To overcome these limitations, we introduce Dual-Branch Swin-CNN Net(DSC-Net), a new method that integrates the global modeling capabilities of the Swin-Transformer with the CNN-based U-Net architecture. …”
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Sectorial pathways to achieve net-zero and 1.5 °C targets for EU-27: energy and emissions data to inform science-based decarbonization targets by Sven Teske, Jonathan Rispler, Maartje Feenstra, Sarah Niklas, Saori Miyake

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Surface water mapping from remote sensing in Egypt’s dry season using an improved U-Net model with multi-scale information and attention mechanism by Yong Li, Xiuhui Liu, Vagner Ferreira, Heiko Balzter, Huiyu Zhou, Ying Ge, Meiyun Lai, Simin Chu, Han Ding, Zhenrong Gu

“…This paper proposes an improved U-Net model with multi-scale information and attention mechanism for precise surface water mapping by multispectral Sentinel-2 satellite images. …”
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Using Petri Nets and 4M1E Identification Resolution for Manufacturing Process Control and Information Tracking: Case Study of Transformer Coil Production by Xuedong Zhang, Wenlei Sun, Shijie Song, Chen Lu

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DE-Net: A Dual-Encoder Network for Local and Long-Distance Context Information Extraction in Semantic Segmentation of Large-Scale Scene Point Clouds by Zhipeng He, Jing Liu, Shuai Yang

“…To address this limitation, we propose a dual-encoder segmentation network called DE-Net. DE-Net effectively learns both the local and long-distance contextual information for each point to achieve accurate point segmentation. …”
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Advanced semantic lung segmentation with a hybrid SegNet-ResNet50 network by Mohammad Farukh Hashmi, M. Devipriyanka, B. Raghavaram, Amreen Aijaz Husain

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MFPI-Net: A Multi-Scale Feature Perception and Interaction Network for Semantic Segmentation of Urban Remote Sensing Images by Xiaofei Song, Mingju Chen, Jie Rao, Yangming Luo, Zhihao Lin, Xingyue Zhang, Senyuan Li, Xiao Hu

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SOCIAL NETS AS A NEW FACTOR OF SYSTEM SECURITY IN RUSSIA IN THE 21ST CENTURY by S. A. Kravchenko, A. I. Podberezkin

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Informal savings groups and food security during the COVID-19 pandemic: evidence from Nigeria by Didier Yelognisse Alia, C. Leigh Anderson, Marlous de Milliano, Aline Meysonnat, Conor Hennessy, Thomas de Hoop

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Synthesis of MR fingerprinting information from magnitude-only MR imaging data using a parallelized, multi network U-Net convolutional neural network by Kiaran P. McGee, Yi Sui, Robert J. Witte, Ananya Panda, Norbert G. Campeau, Thomaz R. Mostardeiro, Nahil Sobh, Umberto Ravaioli, Shuyue (Lucia) Zhang, Kianoush Falahkheirkhah, Nicholas B. Larson, Christopher G. Schwarz, Jeffrey L. Gunter

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U-Net Driven High-Resolution Complex Field Information Prediction in Single-Shot Four-Step Phase-Shifted Digital Holography Using Polarization Camera by Askari Mehdi, Yongjun Lim, Kwan-Jung Oh, Jae-Hyeung Park

“…We present a novel high-resolution complex field extraction technique utilizing U-Net-based architecture to effectively overcome the inherent resolution limitations of polarization cameras with micro-polarized arrays. …”
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AFN-Net: Adaptive Fusion Nucleus Segmentation Network Based on Multi-Level U-Net by Ming Zhao, Yimin Yang, Bingxue Zhou, Quan Wang, Fu Li

“…Therefore, a novel nucleus segmentation method based on the U-Net architecture is proposed to overcome this issue. …”
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DermaTransNet: Where Transformer Attention Meets U-Net for Skin Image Segmentation by Anum Abdul Salam, Muhammad Usman Akram, Muhammad Haroon Yousaf, Babar Rao

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SDD-Net: A Steel Surface Defect Detection Method Based on Contextual Enhancement and Multiscale Feature Fusion by Chao Liang, Zi-Zheng Wang, Xiao-Lin Liu, Peng Zhang, Zhi-Wei Tian, Ru-Liang Qian

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Heartbeat information prediction based on transformer model using millimetre‐wave radar by Bojun Hu, Biao Jin, Hao Xue, Zhenkai Zhang, Zhaoyang Xu, Xiaohua Zhu

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EffRes-DrowsyNet: A Novel Hybrid Deep Learning Model Combining EfficientNetB0 and ResNet50 for Driver Drowsiness Detection by Sama Hussein Al-Gburi, Kanar Alaa Al-Sammak, Ion Marghescu, Claudia Cristina Oprea, Ana-Maria Claudia Drăgulinescu, Nayef A. M. Alduais, Khattab M. Ali Alheeti, Nawar Alaa Hussein Al-Sammak

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MEASegNet: 3D U-Net with Multiple Efficient Attention for Segmentation of Brain Tumor Images by Ruihao Zhang, Peng Yang, Can Hu, Bin Guo

“…Through the integration of various attention mechanisms, we enhance the capacity for detailed feature extraction, facilitate the interplay among distinct features, and ensure the retention of more comprehensive feature information. Consequently, this leads to an enhancement in the segmentation precision of 3D U-Net for brain tumor MRI images. …”
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DMSU-Net++: A dual multiscale retinal vessel segmentation method based on improved U-Net+. by Liu Ming, Li Qi

“…To address the above problems, we propose an improved retinal segmentation method DMSU-Net++ (Double Multiscale U-Net++) based on U-Net++. …”
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XPolypNet: A U-Net-Based Model for Semantic Segmentation of Gastrointestinal Polyps With Explainable AI by Arjun Kumar Bose Arnob, Muhammad Mostafa Monowar, Md. Abdul Hamid, M. F. Mridha

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