FasNet: a hybrid deep learning model with attention mechanisms and uncertainty estimation for liver tumor segmentation on LiTS17 by Rahul Singh, Sheifali Gupta, Ahmad Almogren, Ateeq Ur Rehman, Salil Bharany, Ayman Altameem, Jaeyoung Choi

“…The Channel and Spatial Attention mechanisms in FasNet enhance feature selection, focusing on the most relevant spatial and channel information, while Monte Carlo Dropout improves model robustness and uncertainty estimation. …”
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Mapping the road ahead: understanding social factors that shape vehicle residents’ information grounds by Kaitlin E. Montague

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Transfer learning for accurate brain tumor classification in MRI: a step forward in medical diagnostics by Muhammad Adnan Khan, Muhammad Zahid Hussain, Shahid Mehmood, Muhammad Farhan Khan, Munir Ahmad, Tehseen Mazhar, Tariq Shahzad, Mamoon M. Saeed

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The role of information skewness in shaping extremist content: A look at four extremists by Waseem Afzal

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Neural Network Models for Prostate Zones Segmentation in Magnetic Resonance Imaging by Saman Fouladi, Luca Di Palma, Fatemeh Darvizeh, Deborah Fazzini, Alessandro Maiocchi, Sergio Papa, Gabriele Gianini, Marco Alì

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FinSafeNet: securing digital transactions using optimized deep learning and multi-kernel PCA(MKPCA) with Nyström approximation by Ahmad Raza Khan, Shaik Shakeel Ahamad, Shailendra Mishra, Mohd Abdul Rahim Khan, Sunil Kumar Sharma, Abdullah AlEnizi, Osama Alfarraj, Majed Alowaidi, Manoj Kumar

“…This research focuses new Deep Learning (DL) model referred as FinSafeNet to secure loose cash transactions over the digital banking channels. …”
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High-Quality Road Detection Using U-Net-Based Semantic Segmentation with High-Resolution Orthophotos and DSM Data in Urban Environments by M. Fawzy, M. Fawzy, A. Juhász, A. Barsi

“…Building on prior works by the authors, which include digital surface modelling and satellite image classification using U-Net and other neural network architectures, this research applies state-of-the-art techniques to leverage the spatial richness of orthophotos and the vertical information embedded in DSMs. …”
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LViT-Net: a domain generalization person re-identification model combining local semantics and multi-feature cross fusion by Xintong Hu, Peishun Liu, Xuefang Wang, Peiyao Wu, Ruichun Tang

“…LViT-Net adopts a dual-branch encoder with a parallel hierarchical structure to extract both local and global discriminative features. …”
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CWCM-Net: A Novel Feature Fusion Method for Oil Spill Detection Using Single- and Quad-Polarization SAR Data by Sohail Jamal, Guangmin Sun, Yu Li, Abdul Qadir Khan, Yuanzhi Zhang, Anna Verlanti, Ferdinando Nunziata

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MF-FusionNet: A Lightweight Multimodal Network for Monitoring Drought Stress in Winter Wheat Based on Remote Sensing Imagery by Qiang Guo, Bo Han, Pengyu Chu, Yiping Wan, Jingjing Zhang

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Semantic Segmentation of Corn Leaf Blotch Disease Images Based on U-Net Integrated with RFB Structure and Dual Attention Mechanism by Ye Mu, Ke Li, Yu Sun, Yu Bao

“…Findings from the study show that the proposed NCLB-Net has significantly improved the MIoU and PA indexes, reaching 92.43% and 94.71%, respectively. …”
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MF-ShipNet: a multi-feature weighted fusion and PCA-SVM model for ship detection in remote sensing images by Jianfeng Li, Yibing Yang, Liutong Yang, Yang Zhao, Qinghua Luo, Chenxu Wang

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SG-ResNet: Spatially Adaptive Gabor Residual Networks with Density-Peak Guidance for Joint Image Steganalysis and Payload Location by Zhengliang Lai, Chenyi Wu, Xishun Zhu, Jianhua Wu, Guiqin Duan

“…SG-ResNet employs a dual-stream collaborative architecture to achieve precise detection and reconstruction of steganographic information. …”
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MSFF-Net: Multi-Sensor Frequency-Domain Feature Fusion Network with Lightweight 1D CNN for Bearing Fault Diagnosis by Miao Dai, Hangyeol Jo, Moonsuk Kim, Sang-Woo Ban

“…This study proposes MSFF-Net, a lightweight deep learning framework for bearing fault diagnosis based on frequency-domain multi-sensor fusion. …”
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A Fire Segmentation Method with Flame Detail Enhancement U-Net in Multispectral Remote Sensing Images Under Category Imbalance by Rui Zou, Zhihui Xin, Guisheng Liao, Penghui Huang, Rui Wang, Yuhu Qiao

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scSEETV‐Net: Spatial and Channel Squeeze‐Excitation and Edge Attention Guidance V‐Shaped Network for Skin Lesion Segmentation by Hakan Ocal

“…Herein, the Edge‐aTtention module is added to the V‐Net architecture to move edge information to the last layer, and the spatial and channel squeeze‐excitation module is added to emphasize high‐level features by recalibrating the channel information to learn lesion boundaries better. …”
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BiAttentionNet: a dual-branch automatic driving image segmentation network integrating spatial and channel attention mechanisms by Ruijun Liu, Yijun Zhang, Jieying Chen, Zhigang Wu, Yaohui Zhu, Jun Liu, Min Chen

“…In this paper, a dual-branch automatic driving image segmentation network integrating spatial and channel attention mechanisms is proposed with named as “BiAttentionNet”. The network aims to balance network accuracy and real-time performance by processing high-level semantic information and low-level detail information separately. …”
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OculusNet: Detection of retinal diseases using a tailored web-deployed neural network and saliency maps for explainable AI by Muhammad Umair, Jawad Ahmad, Oumaima Saidani, Mohammed S. Alshehri, Alanoud Al Mazroa, Muhammad Hanif, Rahmat Ullah, Muhammad Shahbaz Khan

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SARFA-Net: Shape-Aware Label Assignment and Refined Feature Alignment for Arbitrary-Oriented Object Detection in Remote Sensing Images by Yan Dong, Minghong Wei, Guangshuai Gao, Chunlei Li, Zhoufeng Liu

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Author Correction: ThyroNet-X4 genesis: an advanced deep learning model for auxiliary diagnosis of thyroid nodules’ malignancy by Xiaoxue Wang, Yupeng Niu, Hongli Liu, Fa Tian, Qiang Zhang, Yimeng Wang, Yeju Wang, Yijia Li

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