Multi-modal action recognition via advanced image fusion techniques for cyber-physical systems by Zaiyong Shou, Daoyu Zhu

“…Traditional methods often lack adaptability and perform poorly when integrating diverse information sources, such as spatial and temporal cues from diverse image sources.MethodsTo address these limitations, we propose a novel Multi-Scale Attention-Guided Fusion Network (MSAF-Net), which leverages advanced image fusion techniques to significantly enhance action recognition performance in CPS environments. …”
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Deep learning models for enhanced in-field maize leaf disease diagnosis by Joyce Nakatumba-Nabende, Sudi Murindanyi

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Habesha cultural cloth classification using deep learning by Anteneh Demelash, Eshete Derb

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Dual-Filter Cross Attention and Onion Pooling Network for Enhanced Few-Shot Medical Image Segmentation by Lina Ni, Yang Liu, Zekun Zhang, Yongtao Li, Jinquan Zhang

“…To address these issues, we propose the dual-filter cross attention and onion pooling network (DCOP-Net) for FSMIS. DCOP-Net consists of a prototype learning stage and a segmentation stage. …”
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Medical Image Segmentation Network Based on Dual-Encoder Interactive Fusion by Hong Yang, Yong Fan, Ping Yang

“…To overcome this shortfall, this study introduces a novel medical image segmentation (MIS) network, designated as DEFI-Net, which is based on dual-encoder interactive fusion. …”
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Unsupervised Boosted Fusion Network for Single Low-Light Image Enhancement by Jianfeng Zhang, Hengxuan Li, Zhanqiang Huo

“…Especially, the enhancement effect in some scenes is superior to the supervised low-light image enhancement networks. The UBF-Net code is available at.<uri>https://github.com/huozhanqiang/UBF-Net</uri>.…”
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Automated diagnosis of mild cognitive impairment through connectivity analysis of EEG signals and a DL scheme by Jiayi Lin, Wei Huang

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Study of Register Value Branch Predictor Based on CNN by Yingjie Tang, Zhangjin Chen, Wuyi Fang

“…The results show that the addition of register information reduces the MPKI rate of the top five H2P branches on average, compared to the BranchNet, by 17.32%. …”
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A hybrid steganography framework using DCT and GAN for secure data communication in the big data era by Kaleem Razzaq Malik, Muhammad Sajid, Ahmad Almogren, Tauqeer Safdar Malik, Ali Haider Khan, Ayman Altameem, Ateeq Ur Rehman, Seada Hussen

“…Abstract The growth of the internet and big data has spurred the demand for more extensive information hoarding to store and distribute information. …”
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Enhancing colorectal polyp classification using gaze-based attention networks by Zhenghao Guo, Yanyan Hu, Peixuan Ge, In Neng Chan, Tao Yan, Pak Kin Wong, Shaoyong Xu, Zheng Li, Shan Gao

“…All evaluation metrics surpassed those of EfficientNet_b1 without gaze information supervision. The class activation maps generated by the proposed network also indicate that the endoscopist’s gaze-attention information, as auxiliary prior knowledge, increases the accuracy of colorectal polyp classification, offering a new solution to the field of medical image analysis.…”
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Inverse Design of Incoherent Raman Pump Sources for U-Band WDM Transmission Over 125 km G.652.D Fiber by Tangyanjun Lan, Junjiang Xiang, Gai Zhou, Meng Xiang, Songnian Fu, Yuwen Qin

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Res50-SimAM-ASPP-Unet: A Semantic Segmentation Model for High-Resolution Remote Sensing Images by Jiajing Cai, Jinmei Shi, Yu-Beng Leau, Shangyu Meng, Xiuyan Zheng, Jinghe Zhou

“…The model integrates ResNet50 as the encoding layer of Unet for robust feature extraction, adds the SimAM attention mechanism to selectively enhance relevant details, and incorporates the ASPP module in the decoding layer to capture multi-scale contextual information. …”
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Fine-grained point cloud classification based on hierarchical feature enhancement. Journal of Zhejiang University (Science Edition),2025,52(1):70⁃80(基于层次特征增强的细粒度点云分类)... by 白静(BAI Jing), 刘路(LIU Lu), 郑虎(ZHENG Hu), 蒋金哲(JIANG Jinzhe)

“…Aiming at the problem of insufficient local feature extraction of general point cloud classification methods in fine-grained classification tasks, we propose a point cloud-oriented 3D model classification framework, HFE-Net. The Veronese mapping-based point feature enhancement module (V-PE) is used to enhance the point cloud data, so that the network learns higher-order information of the normal and the attitude; the multi-scale context-aware intra-cluster feature enhancement module (CA-IntraCE) utilizes different scales of K-nearest neighbor algorithms and cross-attention to achieve different scales of features and eliminate the loss of information caused by maximal pooling; the inter-cluster feature enhancement module (GSS-InterCE) based on grouped sparse sampling utilizes the furthest-point-sampling (FPS) algorithm to obtain sparse points and the cross-attention to achieve the enhancement of different clusters, so that the network has stronger fine-grained discriminative ability.In the experimental results on the three sub-datasets Airplane, Car, and Chair of FG3D, the overall accuracies of HFE-Net reach 97.40%, 80.53%, and 83.83%, respectively, which have ex-ceeded those of the existing SOTA methods, DC-Net and FGPNet, showcasing the superior classification performance of HFE-Net.…”
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Bone Age Estimation of Chinese Han Adolescents’s and Children’s Elbow Joint X-rays Based on Multiple Deep Convolutional Neural Network Models by LI Dan-yang, ZHOU Hui-ming, WAN Lei, LIU Tai-ang, LI Yuan-zhe, WANG Mao-wen, WANG Ya-hui

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热处理企业信息管理系统的开发与应用 by 王明伟, 周茂军, 于海, 许言平, 田绍洁

“…The management current situation of middle and small heat treatment enterprise is analyzed,based on.NET platform,a set of heat treatment of enterprise information management system is developed.The design of the system requirement and the function of each module are mainly introduced,the intellectualized formulation of heat treatment process is realized.This system development and use is helpful to heat treatment enterprise standard business process,accelerating innovation,reducing costs and improving quality,and has very strong practicability.…”
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Downscaling of the surface temperature forecasts based on deep learning approaches by Guangdi Chen, Xiefei Zhi, Shuyan Ding, Gen Wang, Liqun Zhou, Dexuan Kong, Tao Xiang, Yanhe Zhu

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Design of Block-Scrambling-Based privacy protection mechanism in healthcare using fusion of transfer learning models with Hippopotamus optimization algorithm by Ghada Moh. Samir Elhessewi, Mohammed Yahya Alzahrani, Mohammad Alamgeer, Abdulbasit A. Darem, Da’ad Albalawneh, Mohammed Alqahtani, Mutasim Al Sadig, Sultan Alanazi

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Automatic smart brain tumor classification and prediction system using deep learning by Qurat Ul Ain Ishfaq, Rozi Bibi, Abid Ali, Faisal Jamil, Yousaf Saeed, Rana Othman Alnashwan, Samia Allaoua Chelloug, Mohammed Saleh Ali Muthanna

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Blockchain enabled IoMT and transfer learning for ocular disease classification by Muhammad Adnan Khan, Muhammad Zahid Hussain, Muhammad Farhan Khan, Munir Ahmad, Sagheer Abbas, Tehseen Mazhar, Tariq Shahzad, Mamoon M. Saeed

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Using Multioutput Learning to Diagnose Plant Disease and Stress Severity by Gianni Fenu, Francesca Maridina Malloci

“…The deep learning approach considers five pretrained CNN architectures, namely, VGG-16, VGG-19, ResNet50, InceptionV3, MobileNetV2, and EfficientNetB0, as feature extractors to classify three diseases and six severity levels. …”
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