CPD-KD: a cooperative perception network for discrepancy feature fusion through knowledge distillation by Caizhen He, Hai Wang, Tong Luo, Shunyao Zhang, Long Chen, Yingfeng Cai

“…To address these issues, we propose a Cooperative Perception network for Discrepancy feature fusion through Knowledge Distillation, named CPD-KD. …”
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A systematic review on AI based class imbalance handling in software defect prediction by Somya R. Goyal

“…Software defect prediction is to predict the fault-prone modules assisting the development team to focus the testing efforts on the faulty modules, preserving the testing resources and leading to reduced costs of the product. …”
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DEFIF-Net: A lightweight dual-encoding feature interaction fusion network for medical image segmentation. by Zhanlin Ji, Shengnan Hao, Quanming Zhao, Zidong Yu, Hongjiu Liu, Lei Li, Ivan Ganchev

“…To address these issues, a lightweight Dual-Encoding Feature Interaction Fusion network (DEFIF-Net) is proposed in this paper for medical image segmentation. …”
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Sportorthopädie by Mastnak W

“…Background: Shoulder-neck-pain is a frequent condition that concerns all generations and is a major issue in public health and for individual life quality. …”
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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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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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A Novel Lightweight Algorithm for Sonar Image Recognition by Gang Wan, Qi He, Qianqian Zhang, Hanren Wang, Huanru Sun, Xinnan Fan, Pengfei Shi

“…Secondly, the original 1 × 1 convolution is replaced with the redesigned multi-scale convolution Res2Net in the MV2 module to enhance the ability of the algorithm to learn global and local features. …”
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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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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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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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PEMBERDAYAAN GURU BIMBINGAN KONSELING MADRASAH DAERAH 3T DALAM MENGATASI MASALAH PSIKOSOSIAL REMAJA DENGAN MENGGUNAKAN ECO ART COUNSELING by Amirah Diniaty, Siti Kulsum, Riswani Riswani, Salmiah Salmiah

“…Creative expressions led to artworks with potential economic values, such as motifs for hijab, Natuna's typical sarung.The community service recommends that future services should further specify student psychosocial issues and develop an educational module for eco-art counseling.…”
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A vision transformer based CNN for underwater image enhancement ViTClarityNet by Mohamed E. Fathy, Samer A. Mohamed, Mohammed I. Awad, Hossam E. Abd El Munim

“…Abstract Underwater computer vision faces significant challenges from light scattering, absorption, and poor illumination, which severely impact underwater vision tasks. To address these issues, ViT-Clarity, an underwater image enhancement module, is introduced, which integrates vision transformers with a convolutional neural network for superior performance. …”
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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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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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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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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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Mamba-UAV-SegNet: A Multi-Scale Adaptive Feature Fusion Network for Real-Time Semantic Segmentation of UAV Aerial Imagery by Longyang Huang, Jintao Tan, Zhonghui Chen

“…However, challenges such as class imbalance, small-object detection, and intricate boundary details complicate the analysis of UAV imagery. To address these issues, we propose Mamba-UAV-SegNet, a novel real-time semantic segmentation network specifically designed for UAV images. …”
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New normal experiences of VSU-Isabel students living in the mountainous areas by Rodulfo T. Aunzo, Jr., Gen Ann Biore, Ryza Jane Cubico, Bhea Mae Erederos, Jackelyn Latoy

“…However, this transition poses challenges, especially for students in remote mountainous regions dealing with issues like limited Internet connectivity and resource constraints, making module completion and online class participation daunting. …”
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Fractional Artificial Protozoa Optimization Enabled Deep Learning for Intrusion Detection and Mitigation in Cyber-Physical Systems by Shaik Abdul Rahim, Arun Manoharan

“…First, the CPSs module is initialized, and then the attack mitigation is carried out. …”
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