Harnessing Spatial-Frequency Information for Enhanced Image Restoration by Cheol-Hoon Park, Hyun-Duck Choi, Myo-Taeg Lim

“…(b) Variants of attention mechanisms have been proposed for high-resolution images in low-level vision tasks, but these methods still require inherently high computational costs. To address these issues, we propose a Frequency-Aware Network (FreANet) for image restoration, which consists of two simple yet effective modules. …”
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Enhancing Binary Convolutional Neural Networks for Hyperspectral Image Classification by Xuebin Tang, Ke Zhang, Xiaolei Zhou, Lingbin Zeng, Shan Huang

“…EBCNN incorporates an adaptive gradient scaling module that utilizes a multi-scale pyramid squeeze attention (PSA) mechanism during the training phase, which can adjust training gradients flexibly and efficiently. …”
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Recognition of Cordyceps Based on Machine Vision and Deep Learning by Zihao Xia, Aimin Sun, Hangdong Hou, Qingfeng Song, Hongli Yang, Liyong Ma, Fang Dong

“…In N-CSPDarknet53, the Da-Conv module is proposed to address the background and color interference problems in shallow feature maps. …”
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DFAST: A Differential-Frequency Attention-Based Band Selection Transformer for Hyperspectral Image Classification by Deren Fu, Yiliang Zeng, Jiahong Zhao

“…Specifically, a Differential-Frequency Attention-based Band Selection Embedding Module (DFASEmbeddings) is designed to extract original spectral, first-order derivative, and frequency domain features via a multi-branch structure. …”
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Crack-ConvT Net: A Convolutional Transformer Network for Crack Segmentation in Underwater Dams by Pengfei Shi, Hongzhu Chen, Zaiming Geng, Xinnan Fan, Yuanxue Xin

“…Secondly, to address the limitations of traditional skip connections in crack segmentation under complex environments, an Adaptive Feature Fusion Module is designed to optimize the interaction and integration of multi-level features. …”
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DHQ-DETR: Distributed and High-Quality Object Query for Enhanced Dense Detection in Remote Sensing by Chenglong Li, Jianwei Zhang, Bihan Huo, Yingjian Xue

“…In this paper, we propose the DHQ-DETR framework, which addresses these issues by modeling bounding box offsets as distributions. …”
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GLEM: a global–local enhancement method for fine-grained image recognition with attention erasure and multi-view cropping by Chenglong Zhou, Damin Zhang, Qing He, MingFang Li, MingRong Li, Xiaobo Zhou

“…This work proposes a Global–Local Enhanced Module (GLEM) to integrate global and local features to address these issues effectively. …”
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Image small target detection in complex traffic scenes based on Yolov8 multiscale feature fusion by Xuguang Chai, Meizhi Zhao, Jing Li, Junwu Li

“…Initially, building upon the YOLOv8 detection framework, an attention mechanism module is integrated for novel adaptive feature assimilation and redistribution. …”
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Entrepreneurship Education: Embedding Practitioner Experience by Lester LLOYED - REASON, Roger MUMBY - CROFT, Leigh SEAR

“…This paper will firstly explore the key issues raised by the policy community and others calling into question the appropriateness of the way in which enterprise and entrepreneurship is taught. …”
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YOLOv11-ND: A Method for Identifying Traffic Targets in Nighttime Urban Environments by Danyang Zhu, Hao Zhou, Yunlong Gao, Yongjuan Wang

“…By using nighttime traffic targets as the research object, this paper suggests YOLOv11-ND, an enhanced target recognition method, to address the aforementioned issues. First, based on WTConv, the WTC3k2 module is intended to take the position of C3k2 in the backbone part. …”
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C-HRNet: High Resolution Network Based on Contexts for Single-Frame Phase Unwrapping by Wenbo Zhao, Jing Yan, Dongyang Jin, Jing Ling

“…Existing the deep learning mathods for phase unwrapping from a single wrapped phase map suffer from accuracy issues when dealing with noise, the large variation range of phase surfaces, or isolated area. …”
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A critical approach to SDGs through Collaborative Online International Learning: experiences from Canada and Spain by Mari Carmen Campoy-Cubillo, Vivian Jimenez-Estrada

“…The authors provide an account and reflection of their collaboration centered on the institutional challenges and opportunities that currently exist for courses that aim to engage Indigenous and critical/ecological thinking.Results and discussionThe background of the collaboration leads to a detailed analysis of the context of COIL implementation and the reflections on the modules’ development and improvement. Our recommendations are based on lessons learned from the substantive and technical challenges and opportunities on the complexity of teaching about contemporary ecological/social issues, as well as the tools required to inspire future activists.…”
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CFANet: The Cross-Modal Fusion Attention Network for Indoor RGB-D Semantic Segmentation by Long-Fei Wu, Dan Wei, Chang-An Xu

“…A lightweight skip connection module is designed to fuse low-level and high-level features. …”
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Self-weighted dual contrastive multi-view clustering network by Huajuan Huang, Yanbin Mei, Xiuxi Wei, Yongquan Zhou

“…Subsequently, we design an adaptive weighted mechanism that can automatically enhance the useful views in feature fusion while suppressing unreliable views, effectively mitigating the representation degeneration issue. Furthermore, within the Contrastive Learning framework, we introduce a Dynamic Cluster Diffusion (DC) module that maximizes the distance between different clusters, thus enhancing the separability of the clusters and obtaining a clustering-friendly discriminative representation. …”
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Advancing Rice Disease Detection in Farmland with an Enhanced YOLOv11 Algorithm by Hongxin Teng, Yudi Wang, Wentao Li, Tao Chen, Qinghua Liu

“…Smart rice disease detection is a key part of intelligent agriculture. To address issues like low efficiency, poor accuracy, and high costs in traditional methods, this paper introduces an enhanced lightweight version of the YOLOv11-RD algorithm, enhancing multi-scale feature extraction through the integration of the enhanced LSKAC attention mechanism and the SPPF module. …”
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Lightweight Transformer with Adaptive Rotational Convolutions for Aerial Object Detection by Sabina Umirzakova, Shakhnoza Muksimova, Abrayeva Mahliyo Olimjon Qizi, Young Im Cho

“…In response to these issues, we propose RASST—a lightweight Rotationally Aware Semi-Supervised Transformer framework designed to achieve high-precision detection under fully and semi-supervised conditions. …”
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Post-Quantum Secure ID-Based (Threshold) Linkable Dual-Ring Signature and Its Application in Blockchain Transactions by Wen Gao, Haoyuan Yao, Baodong Qin, Xiaoli Dong, Zhen Zhao, Jiayu Zeng

“…However, due to the anonymity of ring signatures, a signer can sign the same message multiple times, potentially leading to repeated voting or double spending in blockchain transactions. To address these issues in blockchain transactions, this work constructs an identity-based linkable ring signature scheme based on the hardness of the lattice-based Module Small Integer Solution (M-SIS) assumption, which is hard even for quantum attackers. …”
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Study on the deformation monitoring of waterproof sealed walls in underground water reservoirs of coal mines by ZHOU Aiping, WANG Jian, QU Shijia, JING Mingyu

“…Two light-receiving modules formed a binocular system to receive the reflected structured light images from the sealed wall surface. …”
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A Principal Component Analysis-Based Feature Optimization Network for Few-Shot Fine-Grained Image Classification by Meijia Wang, Boyuan Zheng, Guochao Wang, Junpo Yang, Jin Lu, Weichuan Zhang

“…However, the typical process of FRN gives rise to two notable issues. First, FRN exhibits high sensitivity to noise, particularly ambient noise, which can lead to substantial reconstruction errors and hinder the network’s ability to extract meaningful features. …”
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CD4C: Change Detection for Remote Sensing Image Change Captioning by Xiliang Li, Bin Sun, Zhenhua Wu, Shutao Li, Hu Guo

“…Specifically, a change detection module generates binary masks that contain relevant visual change information from multitemporal images. …”
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