Lightweight Design Strategy and Performance Optimization of Spaceborne Core Network by Xi CHEN, Yiqun Zhao, Minghan ZHANG, Shan LU, Shihao WANG, Chengchen ZHANG, Xiaofan XU, Ping DU

“…With the growth of global communication demand, the spaceborne core network can not only reduce frequent signaling interactions between satellites and the ground, but also break through the constraints of geographical regions, providing strong support for the integrated network architecture of heaven and earth and global communication operations.However, due to the resource limitations of satellites and the dynamic and time-varying topology of satellite internet on a large scale, the deployment of traditional core network elements in spaceborne environments has encountered significant challenges.This article is dedicated to studying the challenges of lightweight, flexible deployment, and low latency in onboard core networks, aiming to explore new design strategies for onboard lightweight core networks and provide a solid theoretical foundation for global communication operations.Multiple lightweight strategies, including minimum network element set deployment, single network element function tailoring, interface protocol lightweight, network element fusion and reconstruction, platform architecture lightweight, and transmission protocol reconstruction were firstly studied.Then, detailed simulation experiments were conducted on the selected strategies, and the experimental results confirmed that the lightweight processing of the spaceborne core network has superior performance in resource allocation and signaling process.…”
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Application of IoT and blockchain technology in the integration of innovation and industrial chains in high-tech manufacturing by Zepei Li, Peng Zheng, Yanjia Tian

“…This study introduces BD-IoTQNet, a novel framework designed to address these challenges by integrating data fusion, anomaly detection using the Isolation Forest algorithm, and blockchain-enabled DQM (Data Quality Management). …”
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Description et analyse d’un dispositif pédagogique destiné à renforcer l’interdisciplinarité dans un Master interdisciplinaire by Florian Dufour, Nathalie Nyffeler

“…These results were then discussed with particular attention to the opportunities for improvement identified by the students as well as the possibility of a fusion between the various strategies in order to optimize pedagogical practices.…”
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A Study on the Prediction of House Price Index in First-Tier Cities in China Based on Heterogeneous Integrated Learning Model by Yaqi Mao, Yonghui Duan, Yibin Guo, Xiang Wang, Shen Gao

“…To address the difficulty of low prediction accuracy, insufficient model stability, and certain lag associated with a single machine learning model in the prediction of house price, this paper proposes a multimodel fusion house price prediction model based on stacking integrated learning. …”
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Technology for the Quantitative Identification of Dairy Products Based on Raman Spectroscopy, Chemometrics, and Machine Learning by Zheng-Yong Zhang, Jian-Sheng Su, Huan-Ming Xiong

“…Finally, with the rise of deep learning algorithms and fusion strategies, some challenges in this field are proposed.…”
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Computer Aided Diagnostic System for Blood Cells in Smear Images Using Texture Features and Supervised Machine Learning by Shakhawan Hares Wady

“…The investigational consequences demonstrate that the developed feature fusion strategy surpassed previous existing techniques, with an overall accuracy of 97.49 ± 1.02% utilizing Ensemble classifier. …”
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TomatoGuard-YOLO: a novel efficient tomato disease detection method by Xuewei Wang, Jun Liu

“…The framework introduces two key innovations: the Multi-Path Inverted Residual Unit (MPIRU), which enhances multi-scale feature extraction and fusion, and the Dynamic Focusing Attention Framework (DFAF), which adaptively focuses on disease-relevant regions, substantially improving detection robustness. …”
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Novel Side Information Generation Algorithm of Multiview Distributed Video Coding for Multimedia Sensor Networks by Fu Xiao, Jinkai Liu, Jian Guo, Linfeng Liu

“…Finally, side information based on fusion of temporal and spatial side information will be gained. …”
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The Protective Potential Role of ACE2 against COVID-19 by Fereshteh Golab, Gelareh Vahabzadeh, Leila SadeghRoudbari, Arefeh Shirazi, Robabeh Shabani, Sara Tanbakooei, Lida Kooshesh

“…The angiotensin-converting enzyme 2 (ACE2) has been shown as a necessary receptor to cell fusion, which is involved in infection due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). …”
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Automatic Monitoring System in Underground Engineering Construction: Review and Prospect by Lixin Wang, Shuoshuo Xu, Junling Qiu, Ke Wang, Enlin Ma, Chujun Li, Chunxia Guo

“…Furthermore, this paper puts forward specific and implementable technical routes based on the current intelligent technology and the challenges faced by future monitoring, which can provide direction and reference for future research, including high-precision real-time acquisition and safe and reliable transmission of monitoring data, multisource data fusion, and the visual intelligent early warning platform.…”
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Meta-cognitive Therapy in Obsessive Compulsive Disorder: A Case Report by Ayushi Gaur, Shivali Sharma, Shweta Singh

“…The treatment shows a noteworthy improvement in thought fusion, obsessional beliefs, meta-cognitive beliefs, and psychopathology. …”
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MCBA-MVACGAN: A Novel Fault Diagnosis Method for Rotating Machinery Under Small Sample Conditions by Wenhan Huang, Xiangfeng Zhang, Hong Jiang, Zhenfa Shao, Yu Bai

“…Firstly, the multi-scale convolutional block attention mechanism is designed to extract multi-scale information and perform weighted fusion to enhance the ability of the model to capture effective features. …”
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Using Machine Learning Algorithm to Describe the Connection between the Types and Characteristics of Music Signal by Bo Sun

“…In order to improve the accuracy of music classification, a music classification model based on multifeature fusion and machine learning algorithm is proposed. …”
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From Determinism and Probability to Chaos: Chaotic Evolution towards Philosophy and Methodology of Chaotic Optimization by Yan Pei

“…Some open topics on CE, ICE, fusion of these optimization techniques, algorithmic notation, and others are presented and discussed.…”
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A study on UAV target detection and 3D positioning methods based on the improved deformable DETR model and multi-view geometry by Xuebin Liu, Hanshan Li

“…Furthermore, the research incorporates multi-view geometric modeling and multimodal fusion strategies to enhance detection accuracy during the target recognition process. …”
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UAV target tracking method based on global feature interaction and anchor-frame-free perceptual feature modulation. by Yuanhong Dan, Jinyan Li, Yu Jin, Yong Ji, Zhihao Wang, Dong Cheng

“…In this study, in order to refine the feature representation and reduce the computational effort to improve the efficiency of the tracker, we perform feature fusion in deep inter-correlation operations and introduce a global attention mechanism to enhance the model's field of view range and feature refinement capability to improve the tracking performance for small targets. …”
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Geometrical optics methods for moving anisotropic media: a tool for magnetized plasmas by Braud, Aymeric, Langlois, Julien, Gueroult, Renaud

“…Because plasma equilibria often involve plasma flows, for instance in astrophysics or in magnetic confinement nuclear fusion devices, understanding the effect of motion on plasma waves is important. …”
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Experiências com as leituras de João Gilberto Noll by Ricardo Araújo Barberena

“…A partir de una explícita exposición de la subjetividad y de la confesionalidad, se orquesta un ensayo-experimento (ensayo-experiencia), marcado por la fusión entre escritura creativa y teoría literaria. …”
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Research on inverse simulation of physical training process based on wireless sensor network by Chu Rouxia, Chen Xiaodong, Tao Shifang, Yang Donghai

“…The complex problem of high-dimensional spatial motion planning involved in physical training is decomposed into a series of sub-problems in low-dimensional space, and the inertial attitude parameter fusion is carried out according to the position and pose state of the human body in the end of the workspace during the process of physical training. …”
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A New Multiface Target Detection Algorithm for Students in Class Based on Bayesian Optimized YOLOv3 Model by Dongmei Shi, Hongyu Tang

“…A multiscale feature pyramid is built, and an attention guidance module is designed to strengthen multiscale fusion, detecting different sizes of targets. The loss function is improved to solve the imbalance of positive and negative sample distribution and the imbalance between simple samples and difficult samples. …”
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