Learning Power Systems Waveform Incipient Patterns Through Few-Shot Meta-Learning by Lixian Shi, Qiushi Cui, Yang Weng, Yigong Zhang, Shilong Chen, Jian Li, Wenyuan Li

“…Then, an adaptive image fusion strategy is developed to concurrently analyze voltage and current images. …”
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FECI-RTDETR a Lightweight Unmanned Aerial Vehicle Infrared Small Target Detector Algorithm Based on RT-DETR by Renzheng Xue, Shijie Hua, Haiqiang Xu

“…Moreover, we introduce the CHS-FPN structure as a cross-scale feature fusion structure, utilizing the coordinate attention mechanism combined with a hierarchical scale-based feature pyramid network. …”
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A multi-scale rotated ship targets detection network for remote sensing images in complex scenarios by Siyu Li, Fei Yan, Yunqing Liu, Yuzhuo Shen, Lan Liu, Ke Wang

“…This network combines ARC adaptive rotating convolution with a multi-scale feature fusion mechanism to enhance the model’s perceptual capability, addressing the issues of limited target feature information and random orientation angles. …”
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Access control relationship prediction method based on GNN dual source learning by Dibin SHAN, Xuehui DU, Wenjuan WANG, Aodi LIU, Na WANG

“…With the rapid development and wide application of big data technology, users’ unauthorized access to resources becomes one of the main problems that restrict the secure sharing and controlled access to big data resources.The ReBAC (Relationship-Based Access Control) model uses the relationship between entities to formulate access control rules, which enhances the logical expression of policies and realizes dynamic access control.However, It still faces the problems of missing entity relationship data and complex relationship paths of rules.To overcome these problems, a link prediction model LPMDLG based on GNN dual-source learning was proposed to transform the big data entity-relationship prediction problem into a link prediction problem with directed multiple graphs.A topology learning method based on directed enclosing subgraphs was designed in this modeled.And a directed dual-radius node labeling algorithm was proposed to learn the topological structure features of nodes and subgraphs from entity relationship graphs through three segments, including directed enclosing subgraph extraction, subgraph node labeling calculation and topological structure feature learning.A node embedding feature learning method based on directed neighbor subgraph was proposed, which incorporated elements such as attention coefficients and relationship types, and learned its node embedding features through the sessions of directed neighbor subgraph extraction and node embedding feature learning.A two-source fusion scoring network was designed to jointly calculate the edge scores by topology and node embedding to obtain the link prediction results of entity-relationship graphs.The experiment results of link prediction show that the proposed model obtains better prediction results under the evaluation metrics of AUC-PR, MRR and Hits@N compared with the baseline models such as R-GCN, SEAL, GraIL and TACT.The ablation experiment results illustrate that the model’s dual-source learning scheme outperforms the link prediction effect of a single scheme.The rule matching experiment results verify that the model achieves automatic authorization of some entities and compression of the relational path of rules.The model effectively improves the effect of link prediction and it can meet the demand of big data access control relationship prediction.…”
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In Vitro and In Vivo Characterization of a Dual-Function Green Fluorescent Protein–HSV1-Thymidine Kinase Reporter Gene Driven by the Human Elongation Factor 1α Promoter by Gary D. Luker, Kathryn E. Luker, Vijay Sharma, Christina M. Pica, Julie L. Dahlheimer, Joe A. Ocheskey, Timothy J. Fahrner, Jeffrey Milbrandt, David Piwnica-Worms

“…Toward the goal of monitoring activity of native mammalian promoters with molecular imaging techniques, we stably transfected DU145 prostate carcinoma cells with a fusion construct of enhanced green fluorescent protein (EGFP) and wild-type herpes simplex virus-1 thymidine kinase (HSV1-TK) as a reporter gene driven by the promoter for human elongation factor 1α (EF-1α-EGFP-TK). …”
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PLZero: placeholder based approach to generalized zero-shot learning for multi-label recognition in chest radiographs by Chengrong Yang, Qiwen Jin, Fei Du, Jing Guo, Yujue Zhou

“…Secondly, we propose a hallucinated class generation module (HCG), which generates hallucinated classes by feature diffusion and feature fusion based on the visual and semantic features of seen classes, using these hallucinated classes as placeholders for unseen classes. …”
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Change Detection and Incremental Updates for Multi-Source Road Networks Considering Topological Consistency by Xiaodong Wang, Dongbao Zhao, Xingze Li, Nan Jia, Li Guo

“…To address geometric conflicts and topological inconsistencies, we present a fusion and update method specifically tailored for partially matched road features. …”
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The role of Mitofusin-1 and Mitofusin-2 in periodontal disease: a comprehensive review by Sudhir R. Varma, Sudhir R. Varma, Omar H. A. A. Ani, Jayaraj K. Narayanan, Jayaraj K. Narayanan, Asok Mathew, Asok Mathew

“…Outcomes indicate that MFN2 and MFN1 are important for preserving cellular function, mitigating oxidative damage, and mitochondrial fusion. Decreased levels of these proteins were related to elevated oxidative stress, inflammation, and increased mitochondrial dysfunction in periodontal tissues. …”
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Performance comparison of different algorithms to secure the information for Wireless sensor Network by El Gatte Oumayma, El Abbassi Ahmed, Mouhib Omar, Tilioua Amine

“…The integration of blockchain technology with convolutional neural networks (CNNs) represents a promising frontier in decentralized artificial intelligence (AI). However, this fusion has led to considerable security within both the blockchain and AI communities. …”
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End-to-End Multi-Scale Adaptive Remote Sensing Image Dehazing Network by Xinhua Wang, Botao Yuan, Haoran Dong, Qiankun Hao, Zhuang Li

“…To fully utilize the features at different scales, we also adopted feature fusion technology. By fusing features from different scales and integrating information from different scales, more accurate and rich feature representations can be obtained. …”
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Speckle Filtering Impact on Land Cover Mapping Using the Combination of Sentinel-1 and Sentinel-2 Images (Case study: Bandar Mahshahr) by Mohammad Hossein Hajarian, Sara Attarchi, Seyyed Kazem Alavi Panah

“…The Gram–Schmidt (GS) fusion process was chosen to integrate the multispectral Sentinel-2 data and VH, VV bands of Sentinel-1 data. …”
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Sorghum Spike Detection Method Based on Gold Feature Pyramid Module and Improved YOLOv8s by Shujin Qiu, Jian Gao, Mengyao Han, Qingliang Cui, Xiangyang Yuan, Cuiqing Wu

“…The method involves augmenting the information fusion capability of the YOLOv8 model’s neck module by integrating the Gold feature pyramid module. …”
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A novel arc detection and identification method in pantograph-catenary system based on deep learning by Yue Yan, Hu Liu, Linfeng Gan, Runtong Zhu

“…It performs upsampling and fusion with low-level features in the model. The fused features have better arc discrimination capabilities than the original input features, which better improves the accuracy of the model. …”
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Microdifferential Pressure Measurement Device for Cellular Microenvironments by Mami Akaike, Jun Hatakeyama, Yoichi Saito, Yoshitaka Nakanishi, Kenji Shimamura, Yuta Nakashima

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Spontaneous Overgrowth of Jointing in the Working Chambers of Power Gas-Liquid Thermal Installations – Diffusion Dynamic Processes by T. V. Ryzhova, D. N. Bukharov, M. M. Arakelian, S. M. Arakelian

“…As a result of the action of such dynamic loads in a solidstate object, a rapid change in the parameters of microcracking is observed, which can be represented as local micro-explosions, viz. the growth and fusion of natural microcracks into larger ones; the emergence of new microcracks; the disclosure of large microcracks with the formation of defects of the next hierarchical level. …”
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Management of a traumatic avulsion fracture of the occipital condyle in polytrauma patient in Korea: a case report by Chang Hwa Ham, Woo-Keun Kwon, Joo Han Kim, Youn-Kwan Park, Jong Hyun Kim

“…On the 4 months postdischarge follow-up, her cranial nerve symptoms practically recovered, and the occipital condyle showed signs of fusion without further displacement. Current literatures focus on neurologic deficit and stability for the surgical decisions. …”
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Meaningful Multimodal Emotion Recognition Based on Capsule Graph Transformer Architecture by Hajar Filali, Chafik Boulealam, Khalid El Fazazy, Adnane Mohamed Mahraz, Hamid Tairi, Jamal Riffi

“…The effectiveness of complex relationships between modalities for emotion recognition has been demonstrated, but these relationships are still largely unexplored. Various fusion mechanisms using simply concatenated information have been the mainstay of previous research in learning multimodal representations for emotion classification, rather than fully utilizing the benefits of deep learning. …”
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γδ T-Cell Acute Lymphoblastic Leukemia/Lymphoma: Discussion of Two Pediatric Cases and Its Distinction from Other Mature γδ T-Cell Malignancies by Eric X. Wei, Vasiliki Leventaki, John K. Choi, Susana C. Raimondi, Elizabeth M. Azzato, Sheila A. Shurtleff, Menchu G. Ong, Diana M. Veillon, James D. Cotelingam, Rodney E. Shackelford

“…The first patient is a two-year-old girl with leukocytosis, circulating lymphoblasts, and a cryptic insertion of a short-arm segment at 10p12 into the long-arm segment of 11q23 resulting in an MLL and AF10 fusion transcript, which may be the first reported in γδ T-ALL. …”
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Bearing Fault Classification Using Improved Antlion Optimizer and Extreme Learning Machine by Zhuanzhe Zhao, Yu Zhang, Qiang Ma, Yujian Rui, Guowen Ye, Mengxian Wang, Yongming Liu, Zhen Zhang, Neng Wei, Zhijian Tu

“…At present, the models based on the fusion of various optimization algorithms and neural networks have become one of the emerging techniques for accurate fault identification. …”
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Construction of a prediction and visualization system for cognitive impairment in elderly COPD patients based on self-assigning feature weights and residual evolution model by Wenwen Cheng, Chen Yu, Xiaohui Liu

“…A self-assigning feature weights and residual evolution (SAFWRE) algorithm was built on the concept of linear and nonlinear information fusion.ResultsThe best method in SIOA was the circle search algorithm. …”
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