Real-Time ConvNext-Based U-Net with Feature Infusion for Egg Microcrack Detection by Chenbo Shi, Yuejia Li, Xin Jiang, Wenxin Sun, Changsheng Zhu, Yuanzheng Mo, Shaojia Yan, Chun Zhang

“…Leveraging edge features and spatial continuity of cracks, we incorporate an edge feature infusion module in the encoder and design a multi-scale feature aggregation strategy in the decoder to enhance the extraction of both local details and global semantic information. …”
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YOLOrot2.0: A novel algorithm for high-precision rice seed size measurement with real-time processing by Jinfeng Zhao, Zeyu Hou, Qin Wang, Sheng Dai, Kaicheng Yong, Xuan Wang, Jiawen Yang, Qianlong Nie, Yan Ma, Xuehui Huang

“…Moreover, the YOLOv8 architecture was adjusted by modifying certain convolutional layers and the Context to Fusion module to enhance the detection capabilities for smaller targets. …”
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Inherent-attribute-aware dual-graph autoencoder for rating prediction by Yangtao Zhou, Qingshan Li, Hua Chu, Jianan Li, Lejia Yang, Biaobiao Wei, Luqiao Wang, Wanqiang Yang

“…However, existing methods still have two significant limitations: i) External attributes are often unavailable in the real world due to privacy issues, leading to low quality of representations; and ii) existing methods lack considering complex associations in users' rating behaviors during the encoding process. …”
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A Novel Multi-Sensor Nonlinear Tightly-Coupled Framework for Composite Robot Localization and Mapping by Lu Chen, Amir Hussain, Yu Liu, Jie Tan, Yang Li, Yuhao Yang, Haoyuan Ma, Shenbing Fu, Gun Li

“…We propose a nonlinear optimization approach to overcome these issues to develop an integrated localization and navigation framework, IIVL-LM (IMU, Infrared, Vision, and LiDAR Fusion for Localization and Mapping). …”
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Integration of multimodal imaging data with machine learning for improved diagnosis and prognosis in neuroimaging by Saurabh Bhattacharya, Sashikanta Prusty, Sanjay P. Pande, Monali Gulhane, Santosh H. Lavate, Nitin Rakesh, Saravanan Veerasamy

“…This work introduces a novel hybrid deep learning method combining CNN, GRU, and a Dynamic Cross-Modality Attention Module to help more efficiently blend spatial and temporal brain data. …”
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DCP-YOLOv7x: improved pest detection method for low-quality cotton image by Yukun Ma, Yajun Wei, Minsheng Ma, Zhilong Ning, Minghui Qiao, Uchechukwu Awada

“…Next, the DAttention (Deformable Attention) mechanism is introduced into the SPPCSPC module of the YOLOv7x network to dynamically adjust the computation area of attention and enhance the feature extraction capability. …”
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PROPOSTE DIDATTICHE PER L’ITALIANO L2 A GIOVANI STUDENTI DI UN CORSO SERALE: IL CONTRIBUTO DELLA LETTERATURA TRANSCULTURALE ITALOFONA ALLA RIFLESSIONE SUL PLURILINGUISMO by Laura Campanale

“…Specifically, a module of the above-mentioned course was dedicated to the analysis of two autobiographical novels of Italian speaking transcultural literature: My house is where I am (2012) by IgiabaScego and The language of Ana. …”
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Multi‑feature geological hazard susceptibility assessment by integrating improved ResNet and transfer learning: A case study of the Loess Plateau in Northern Shaanxi by Hao Cheng, Chong Xu, Rong Guo, Hai-kun Jing, Zeng-lin Hong, Feng-chen Fu, Ruo-shu Li

“…This study addressed the issues of insufficient feature utilization, poor spatial coherence, and weak generalization in conventional models for Geological hazard susceptibility assessment (GHSA) on the Loess Plateau in Northern Shaanxi. …”
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Self-supervised deep learning for detection of forest disturbance types in a subtropical ecosystem using transformer and Sentinel-1 and Sentinel-2 time series data by Ming Zhang, Guiying Li, Dengsheng Lu, Cong Xu, Haotian Zhao, Dengqiu Li

“…In this study, a novel positional encoding module was designed to handle the irregular Sentinel-2 time series. …”
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MFFNet: a building change detection method based on fusion of spectral and geometric information by Zhihao Guo, Jianping Pan, Peng Xie, Ling Zhu, Chen Qi, Xunxun Wang, Yihan Yang, Yan Wang, Huijuan Zhang, Zhaohui Ren

“…However, when using remote sensing images, shadows, vegetation and objects with similar spectral and morphological characteristics as buildings can cause false detections, omissions and incomplete patch edges. To address this issue, we develop the multiscale feature fusion network for dual-modal data (MFFNet), which has two main aspects: (1) The multi-dual-modal feature fusion module detects changes in features with similar spectral and morphological characteristics as buildings. …”
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Extensive Feature-Inferring Deep Network for Hyperspectral and Multispectral Image Fusion by Abdolraheem Khader, Jingxiang Yang, Sara Abdelwahab Ghorashi, Ali Ahmed, Zeinab Dehghan, Liang Xiao

“…., non-local spatial and global spectral features, is the most critical issue faced by deep learning methods. Therefore, this paper proposes an Extensive Feature-Inferring Deep Network (EFINet) with extensive-scale feature-interacting and global correlation refinement modules to improve the effectiveness of HS-MS image fusion. …”
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Denoising and Recognition Method for Weak Acoustic Abnormal Signals in Hot-Wall Hydrogenation Reactors Using DnCNN-CNN by Xueqin Wang, Shilin Xu, Yun Tu, Ying Zhang, Mingguo Peng

“…Short-Time Fourier Transform (STFT) is employed to convert the AE time-domain signals into time-frequency domain joint representations, constructing a compressed spectrogram as the network input. The DnCNN module removes noise from the mixed spectrogram, while the CNN module performs signal classification. …”
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Language-Guided Semantic Clustering for Remote Sensing Change Detection by Shenglong Hu, Yiting Bian, Bin Chen, Huihui Song, Kaihua Zhang

“…Afterward, a CLIP adapter module (CAM) is designed to fine-tune the semantic embeddings to align with the change region embeddings from the input bi-temporal images. …”
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RoFDiff: Robust Hyperpansharpening via a High-Low Frequency Conditional Diffusion Model by Jiangtao Huang, Ting Luo, Zhouyan He, Haiyong Xu, Leyuan Fang

“…To enhance the reconstructed HFFs, the spectral fusion module leverages interspectral correlations to improve spectral fidelity, while the spectral-spatial reconstruction module utilizes multiscale spatial relationships to refine texture details. …”
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Infrared Image Classification and Detection Algorithm for Power Equipment Based on Improved YOLOv10 by Xiu Ji, Zheyu Yue, Hongliu Yang, Zehong Zhang

“…Secondly, a Slim Neck design structure is used in the neck network and combined with a dual convolution module (DualConv) to achieve a lightweight model. …”
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Research on highway road condition intelligent assessment and optimization system based on deep learning and internet of things by Tingquan He, Changhai Wang, Riyan Lan, Haiyu Luo

“…By optimizing the ResNet-50 down sampling module, introducing the channel attention mechanism, and improving the NMS strategy, the detection accuracy is significantly improved to 89.63 % mAP while maintaining efficient processing speed. …”
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Sketch Face Recognition Method Based on Local-Global Adapter by Huanyu Bian, Boqian Lv, Yanan Guo, Benkui Zhang, Kangning Du

“…In order to enhance the extraction of more comprehensive representational characteristics, we incorporate a streamlined Graph Convolutional Network (GCN) module subsequent to the local module. In addition, we propose a two-stage training strategy to fully utilize the LGAdapter to obtain more accurate visual features. …”
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Resting Posture Recognition Method for Suckling Piglets Based on Piglet Posture Recognition (PPR)–You Only Look Once by Jinxin Chen, Luo Liu, Peng Li, Wen Yao, Mingxia Shen, Longshen Liu

“…Specific enhancements include the introduction of a multi-branch Conv2 module to enrich feature extraction capabilities and the adoption of an inverted bottleneck IBCNeck module, which expands the number of channels and incorporates a channel attention mechanism. …”
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SwinNowcast: A Swin Transformer-Based Model for Radar-Based Precipitation Nowcasting by Zhuang Li, Zhenyu Lu, Yizhe Li, Xuan Liu

“…Precipitation nowcasting is pivotal in monitoring extreme weather events and issuing early warnings for meteorological disasters. …”
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Research on multi-view collaborative detection system for UAV swarms based on Pix2Pix framework and BAM attention mechanism by Yan Ding, Qingxin Cao, Bozhi Zhang, Peilin Li, Zhongjiao Shi

“…A visual attention module (BAM) is employed to manage appearance differences under varying angles, while a feature mapping module (DFM) prevents fine-grained feature loss. …”
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