Dynamically Tunable Multidimensional Feature Focusing and Diffusion Networks for Water Surface Debris Detection by Chong Zhang, Jie Yue, Jianglong Fu

“…Furthermore, a Focal-Diffuse Feature Pyramid Network (FD-FPN) was introduced to accurately capture and integrate key feature information through focused feature fusion techniques while utilizing cross-scale diffusion analysis to efficiently transfer and enhance feature information across different scales. …”
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A Mathematical Survey of Image Deep Edge Detection Algorithms: From Convolution to Attention by Gang Hu

“…Beginning with Sobel and Canny’s kernel-based approaches, we trace the shift to data-driven CNNs like Holistically Nested Edge Detection (HED) and Bidirectional Cascade Network (BDCN), which leverage multi-scale supervision and achieve ODS (Optimal Dataset Scale) scores 0.788 and 0.806, respectively. Attention mechanisms, as in EdgeNAT (ODS 0.860) and RankED (ODS 0.824), enhance global context, while generative models like GED (ODS 0.870) achieve state-of-the-art precision via diffusion and GAN frameworks. …”
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A Lightweight Conditional Diffusion Segmentation Network Based on Deformable Convolution for Surface Defect Detection by Jiusheng Chen, Yibo Zhao, Haibing Wang

“…Surface defect detection is crucial to industrial manufacturing and research for surface defects has drawn much attention. However, defects in industrial environment are very diverse. …”
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Attention-enhanced residual U-Net: lymph node segmentation method with bimodal MRI images by Juping Qiu, Chunxia Chen, Ming Li, Jingde Hong, Binhua Dong, Shangyue Xu, Yongping Lin

“…The DWI and T2 images were fused and inputted into U-Net. The efficient channel attention (ECA) module was added to U-Net. …”
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Enhancing Atmospheric Turbulence Phase Screen Generation with an Improved Diffusion Model and U-Net Noise Generation Network by Hangning Kou, Min Wan, Jingliang Gu

“…The generated phase screens exhibit high precision and diversity, providing an efficient and adaptable solution for atmospheric turbulence simulation.…”
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Evaluating Nanofiltration and Reverse Osmosis Membranes for Pharmaceutically Active Compounds Removal: A Solution Diffusion Model Approach by Yonghyun Shin, Tae-Mun Hwang, Sook-Hyun Nam, Eunju Kim, JeongBeen Park, Yong-Jun Choi, Homin Kye, Jae-Wuk Koo

“…To address these issues, nanofiltration (NF) and reverse osmosis (RO) membrane technologies have gained attention. This study aims to evaluate the performance of NF and RO membranes in removing TrOCs from wastewater and develop a predictive model using the Solution Diffusion Model. …”
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DCT-DiffPose: A Lightweight Diffusion Model With Multi-Hypothesis for 3D Human Pose Estimation by Linzhan Zhong, Fangni Chen, Bolun Zheng, Rui Feng, Lei Zhang, Jian Wan

“…3D human pose estimation is a crucial task in computer vision with extensive applications, yet it remains challenging due to depth ambiguity and constraints on computational efficiency. In this paper, we propose DCT-DiffPose, a novel framework that integrates a diffusion model with Confidence and Consistency-based Multi-Hypothesis Aggregation (CCMA). …”
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MGLI-Former: a multi-scale and global-local information interactive attention transformer for urban shantytown extraction by Shouhang Du, Shaoyu Wang, Yuhao Hua, Shu Peng, Fei Qin, Xue Li, Yufei Wu

“…Shantytowns, characterized by poor living conditions and simple houses, necessitate efficient extraction and analysis for urban planning. …”
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CBCT-to-CT synthesis using a hybrid U-Net diffusion model based on transformers and information bottleneck theory by Can Hu, Ning Cao, Xiuhan Li, Yang He, Han Zhou

“…This module filters out redundant and irrelevant information while compressing essential input data, thereby enabling more efficient summarization and better feature extraction. …”
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Use of Electrochemical Impedance Spectroscopy for the Evaluation of Performance of PEM Fuel Cells Based on Carbon Cloth Gas Diffusion Electrodes by Saverio Latorrata, Renato Pelosato, Paola Gallo Stampino, Cinzia Cristiani, Giovanni Dotelli

“…Polymer electrolyte membrane fuel cells (PEMFCs) have attracted great attention in the last two decades as valuable alternative energy generators because of their high efficiencies and low or null pollutant emissions. …”
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WDFS-DETR: A Transformer-based framework with multi-scale attention for small object detection in UAV Engineering Tasks by Jinjiang Liu, Yonghua Xie

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Cross-Temporal Remote Sensing Image Change Captioning: A Manifold Mapping and Bayesian Diffusion Approach for Land Use Monitoring by Qingshan Bai, Xiaohua Wang

“…This study provides an efficient and precise solution for applications such as land use monitoring, environmental monitoring, and disaster response.…”
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A comprehensive review of diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) techniques in protonic ceramic cells (PCCs): Current status and future perspective by Zixian Wang, Fan Liu, Yuqing Meng, Wenjuan Bian, Haiyan Zhao, Chuancheng Duan, Michael T. Benson, Meng Li, Bin Liu, Dong Ding

“…However, establishing a fundamental understanding of their electrocatalytic reactions has gained less attention. As a fast and cost-effective method for physicochemical fingerprinting, diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) has proven to be a surface-sensitive analytical tool for structural and functional studies. …”
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Change in the Electrochemical Parameters and Material Conductivity During Cycling of Electrochemical Cells with Cathodes Based on MgF2 by I.M. Gasyuk, М.Ja. Sichka, V.V. Ugorchuk, L.S. Kaykan, А.М. Bojchuk

“…Researches were conducted using the following electrochemical methods: galvanostatic cycling, cyclic voltammetry, electrochemical impedance spectroscopy. Much attention has been attracted to changing the electrochemical parameters (specific discharge capacity, Coulomb efficiency, coefficient of electrostimulated diffusion). …”
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A Heterogeneous Image Registration Model for an Apple Orchard by Dongfu Huang, Liqun Liu

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Soybean Weed Detection Based on RT-DETR with Enhanced Multiscale Channel Features by Hua Yang, Yanjie Lyu, Yunpeng Jiang, Feng Jiang, Taiyong Deng, Lihao Yu, Yuanhao Qiu, Hao Xue, Junying Guo, Zhaoqi Meng

“…This module enhances the extraction of detailed features by combining the in-scale feature interaction module with the Efficient Additive attention mechanism. In addition, we designed an Enhanced Multiscale Feature Fusion (EMFF) network structure, which first differentiates the inputs of the three feature layers and then ensures the effective flow between the original and enhanced features of each feature layer by two multiscale feature fusions as well as one diffusion. …”
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Transferable Contextual Network for Rural Road Extraction from UAV-Based Remote Sensing Images by Jian Wang, Renlong Wang, Yahui Liu, Fei Zhang, Ting Cheng

“…TCNet integrates the clustered contextual Transformer (CCT) module, clustered cross-attention (CCA) module, and CBAM attention mechanism to ensure efficient model transferability across different geographical and climatic conditions. …”
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D³-YOLOv10: Improved YOLOv10-Based Lightweight Tomato Detection Algorithm Under Facility Scenario by Ao Li, Chunrui Wang, Tongtong Ji, Qiyang Wang, Tianxue Zhang

“…Accurate and efficient tomato detection is one of the key techniques for intelligent automatic picking in the area of precision agriculture. …”
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DAU-YOLO: A Lightweight and Effective Method for Small Object Detection in UAV Images by Zeyu Wan, Yizhou Lan, Zhuodong Xu, Ke Shang, Feizhou Zhang

“…Furthermore, Scale-Diffusion Attention and Task-Aware Attention are employed to refine these features, significantly improving the network’s ability to detect small objects. …”
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Application of interactive AI system based on image recognition in rural landscape design by Da He

“…The research aims to construct an intelligent and interactive rural landscape design system to improve design efficiency and optimize design outcomes. The study uses attention generative adversarial networks to enrich elements in rural landscape design, improving the problem of inaccurate mapping. …”
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