Defect Detection Algorithm for Electrical Substation Equipment Based on Improved YOLOv10n by Qingkai Meng, Tianren Fu, Kangning Li, Long Huang, Shaoqiang Chen

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A Unified Deep-Domain Adaptation Framework: Advancing Feature Separability and Local Alignment by Pranav Kumar, Jimson Mathew, Rakesh Kumar Sanodiya, Avinash Kumar Chouhan, Rahul Reddy Bukkasamudram, Chandra Sai Teja Adhikarla

“…In transfer learning, domain adaptation is one of the key research areas. …”
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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

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SegR3D: A Multi-Target 3D Visualization System for Realistic Volume Rendering of Meningiomas by Jiatian Zhang, Chunxiao Xu, Xinran Xu, Yajing Zhao, Lingxiao Zhao

“…We propose a novel importance transfer function, assigning varying degrees of importance to different mask values to emphasize the areas of interest. …”
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CCD-Net: Color-Correction Network Based on Dual-Branch Fusion of Different Color Spaces for Image Dehazing by Dongyu Chen, Haitao Zhao

“…Recent advancements in deep learning, particularly convolutional neural networks (CNNs), have shown significant improvements by directly learning features from hazy images to produce clear outputs. …”
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LRA-UNet: A Lightweight Residual Attention Network for SAR Marine Oil Spill Detection by Yu Cai, Jingjing Su, Jun Song, Dekai Xu, Liankang Zhang, Gaoyuan Shen

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CAAF-ResUNet: Adaptive Attention Fusion with Boundary-Aware Loss for Lung Nodule Segmentation by Thang Quoc Pham, Thai Hoang Le, Khai Dinh Lai, Dat Quoc Ngo, Tan Van Pham, Quang Hong Hua, Khang Quang Le, Huyen Duy Mai Le, Tuyen Ngoc Lam Nguyen

“…This study proposes CAAF-ResUNet (Context-Aware Adaptive Attention Fusion ResUNet), a novel deep learning model designed to address these challenges through adaptive feature fusion and edge-sensitive learning. …”
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Unsupervised selective labeling for semi-supervised industrial defect detection by Jian Ge, Qin Qin, Shaojing Song, Jinhua Jiang, Zhiwei Shen

“…This has motivated a shift towards semi-supervised learning (SSL), which leverages labeled and unlabeled data to improve learning efficiency and reduce annotation costs. …”
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Comparison of Satellite-based PM2.5 Estimation from Aerosol Optical Depth and Top-of-atmosphere Reflectance by Heming Bai, Zhi Zheng, Yuanpeng Zhang, He Huang, Li Wang

“…Overall, reflectance-based approach can provide robust PM2.5 estimates for both annual mean values and probability density function of hourly PM2.5. Our results further show that almost all population lives in non-attainment areas in YRD using annual mean PM2.5 from reflectance-based approach. …”
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NSA-CHG: An Intelligent Prediction Framework for Real-Time TBM Parameter Optimization in Complex Geological Conditions by Youliang Chen, Wencan Guan, Rafig Azzam, Siyu Chen

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LePB-SA4RE: A Lexicon-Enhanced and Prompt-Tuning BERT Model for Evolving Requirements Elicitation from App Reviews by Zhiquan An, Hongyan Wan, Teng Xiong, Bangchao Wang

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VF-CART: A communication-efficient vertical federated framework for the CART algorithm by Yang Xu, Xuexian Hu, Jianghong Wei, Hongjian Yang, Kejia Li

“…There is an increasing trend in adapting machine learning algorithms to the VFL setting. As a category of prevalent machine learning algorithms, decision tree and random forests in VFL have attracted widespread interest. …”
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Unveiling the effects of electric field treatments on crop cultivation: a game-changing sustainable energy strategy for plant pathogen eradication and boosting yield growth in agri... by S.S. Jayakrishna, S. Sankar Ganesh

“…The results are validated through a computer vision-based model that improved YOLO-v8 by redesigning the c2f function and employing deep learning techniques with a self-developed Banana Pathogenic Nematode (BPN) dataset. …”
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BCSM-YOLO: An Improved Product Package Recognition Algorithm for Automated Retail Stores Based on YOLOv11 by Pingqing Hou, Shaoze Huang

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Early Sweet Potato Plant Detection Method Based on YOLOv8s (ESPPD-YOLO): A Model for Early Sweet Potato Plant Detection in a Complex Field Environment by Kang Xu, Wenbin Sun, Dongquan Chen, Yiren Qing, Jiejie Xing, Ranbing Yang

“…Traditional methods of pest control for sweet potatoes cause the waste of pesticides and land pollution, but the target detection algorithm based on deep learning can control the precise spraying of pesticides on sweet potato plants and prevent most pesticides from entering the land. …”
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Neurons throughout the brain embed robust signatures of their anatomical location into spike trains by Gemechu Bekele Tolossa, Aidan M Schneider, Eva Dyer, Keith B Hengen

“…Here, we show that machine learning models can predict a neuron’s anatomical location across multiple brain regions and structures based solely on its spiking activity. …”
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PB-STR: A spatiotemporal transformer network for multi-behavior recognition of pigs by Yufan Hu, Xiaobo Wang, Rui Mao, Yusen Guo, Xianyao Zhu, Meili Wang

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Hyperspectral Reconstruction Method Based on Global Gradient Information and Local Low-Rank Priors by Chipeng Cao, Jie Li, Pan Wang, Weiqiang Jin, Runrun Zou, Chun Qi

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Super-resolution for electron microscope scanning images of shale via spatial-spectral domain attention network by Junqi Chen, Lijuan Jia, Jinchuan Zhang, Yilong Feng

“…Ablation experiments further confirmed the effectiveness of the spatial blocks, channel attention, spectral blocks, and frequency loss function in the model. The SSDAN model showed remarkable capability in enhancing the resolution of shale gas reservoir images and restoring high-frequency information at pore edges, thereby validating its effectiveness in unconventional natural gas reservoir analyses.…”
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DBDB: de-bimodal defocus blur in joint infrared-visible imaging by Zhe Cao, Lixin Xu, Jin Zhang, Biwen Yang, Kaizheng Chen, Ruiheng Zhang

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