SegNeXt-RCMSCA: An improved SegNeXt network for detecting winter wheat lodging from UAS RGB images by Yahui Guo, Wei Zhou, Yongshuo H Fu, Fanghua Hao, Xuan Zhang, Le Xu, Ji Liu, Yuhong He

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ViSwNeXtNet Deep Patch-Wise Ensemble of Vision Transformers and ConvNeXt for Robust Binary Histopathology Classification by Özgen Arslan Solmaz, Burak Tasci

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Alzheimer’s disease diagnosis by 3D-SEConvNeXt by Zhongyi Hu, Yuhang Wang, Lei Xiao

“…Our proposed model integrates ConvNeXt with three-dimensional (3D) convolution and incorporates a 3D Squeeze-and-Excitation (3D-SE) attention mechanism to enhance early classification of AD. …”
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Radar Waveform Recognition With ConvNeXt and Focal Loss by Liping Luo, Jie Huang, Yang Yang, Dexiu Hu

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Citrus Disease Classification Model Based on Improved ConvNeXt by Jichi Yan, Yongbin Mo, Yannan Yu, Shiqing Dou, Rongfeng Yang

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An Improved ConvNeXt With Multimodal Transformer for Physiological Signal Classification by Jiajian Zhu, Yue Feng, Qichao Liu, Hong Xu, Yuan Miao, Zhuosheng Lin, Jia Li, Huilin Liu, Ying Xu, Fufeng Li

“…It incorporates an improved ConvNeXt, a multimodal transformer layer, and a fused multi-layer perceptron to extract and fuse multimodal features for ECG classification. …”
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ESSegNeXt: A Novel Building Extraction Framework Based on Generalized SamGeo and SegNeXt Models Using High-Resolution Remote Sensing Images by Qi Lu, Wensong Liu, Lianpeng Zhang, Erzhu Li, Junlong Qiu, Lei Wang

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Wavelet-Guided Multi-Scale ConvNeXt for Unsupervised Medical Image Registration by Xuejun Zhang, Aobo Xu, Ganxin Ouyang, Zhengrong Xu, Shaofei Shen, Wenkang Chen, Mingxian Liang, Guiqi Zhang, Jiashun Wei, Xiangrong Zhou, Dongbo Wu

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InceptMan: An InceptionNeXt-Based Architecture for End-to-End Mandible Reconstruction by Nattapon Kamboonsri, Natdanai Tantisereepatana, Titipat Achakulvisut, Peerapon Vateekul

“…To address these challenges, we present a novel UNet-based architecture based on CraNeXt and InceptionNeXt designed for automated mandible reconstruction, InceptMan. …”
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Wheat disease recognition method based on the SC-ConvNeXt network model by Tianliang Dong, Xiao Ma, Bin Huang, Wenyu Zhong, Qingan Han, Qinghai Wu, You Tang

“…To address these issues, this paper proposes a wheat disease identification model, SC-ConvNeXt, which integrates the SimCLR pre-training framework and an improved CBAM attention mechanism. …”
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Fault diagnosis of rotating parts integrating transfer learning and ConvNeXt model by Zhikai Xing, Yongbao Liu, Qiang Wang, Junqiang Fu

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Water Body Extraction Method Based on ConvNeXt and Dual Feature Extraction Branch by ZHOU Ke, CHANG Ranran, XU Xizhi, MIAO Ru, ZHANG Guangyu, WANG Jiaqian

“…To address this problem, this paper proposes a water body extraction method based on ConvNeXt and dual feature extraction branch (CoNFM-Net) on the basis of PSPNet. …”
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Network security situation assessment based on dual attention mechanism and HHO-ResNeXt by Dongmei Zhao, Guoqing Ji, Shuiguang Zeng

“…To solve these problems, this paper combines ResNeXt with the Efficient Channel Attention (ECA) module and the Contextual Transformer (COT) block to construct a model to assess network conditions. …”
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Intelligent segmentation and staging system for esophageal cancer based on DAEUnet and ConvNeXt networks by XIONG Lingyan, WANG Runyuan, ZHANG Fanghong, ZHANG Fanghong

“…Conclusion The proposed DAEUnet and ConvNeXt-based intelligent segmentation and T-stage diagnosis model for esophageal cancer improves T-stage accuracy and treatment efficiency. …”
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A Hybrid Learnable Fusion of ConvNeXt and Swin Transformer for Optimized Image Classification by Jaber Qezelbash-Chamak, Karen Hicklin

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Efficient remote sensing image classification using the novel STConvNeXt convolutional network by Bo Liu, Chenmei Zhan, Cheng Guo, Xiaobo Liu, Shufen Ruan

“…Systematic experiments on the UCMerced, AID, and NWPU-RESISC45 benchmark datasets validate the effectiveness of the proposed approach: compared with the ConvNeXt baseline, STConvNeXt reduces both parameter count (by 56.49%) and FLOPs (by 49.89%), while improving classification accuracy by 1.2–2.7%. …”
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Fault diagnosis of mining rolling bearings based on Superlet Transform and OD-ConvNeXt-ELA by WU Xinzhong, LUO Kang, TANG Shoufeng, HE Zexu, CHEN Qi

“…In response to the limitations of current fault diagnosis methods for mining rolling bearings, which suffer from limited feature extraction capabilities and poor generalization, a fault diagnosis method based on Superlet Transform (SLT) and OD-ConvNeXt-ELA was proposed. Built upon ConvNeXt-T, Batch Normalization (BN) technology was introduced to improve the network's generalization ability. …”
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Research on the Classification of Sun-Dried Wild Ginseng Based on an Improved ResNeXt50 Model by Dongming Li, Zhenkun Zhao, Yingying Yin, Chunxi Zhao

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A GPU parallelization of the neXtSIM-DG dynamical core (v0.3.1) by R. Jendersie, R. Jendersie, C. Lessig, C. Lessig, T. Richter

“…In this study, we evaluate multiple such frameworks, including CUDA, SYCL, Kokkos, and PyTorch, for the parallelization of neXtSIM-DG, a finite-element-based dynamical core for sea ice. …”
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Attention Enhanced InceptionNeXt-Based Hybrid Deep Learning Model for Lung Cancer Detection by Burhanettin Ozdemir, Emrah Aslan, Ishak Pacal

“…By optimizing and integrating grid and block attention mechanisms with InceptionNeXt blocks, the proposed model effectively captures both fine-grained and large-scale features in CT images. …”
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