Author name disambiguation based on heterogeneous graph neural network. by Ge Wang, Zikai Sun, Weiyang Hu, MengHuan Cai

“…As the existing graph heterogeneous neural network can not learn different types of nodes and edge interaction, add multiple attention, design ablation experiments to verify its impact on the network. …”
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Graph Neural Networks for Pressure Estimation in Water Distribution Systems by Huy Truong, Andrés Tello, Alexander Lazovik, Victoria Degeler

“…Abstract Pressure and flow estimation in water distribution networks (WDNs) allows water management companies to optimize their control operations. …”
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MAE‐SigNet: An effective network for automatic modulation recognition by Shilong Zhang, Yu Song, Shubin Wang

“…Automatic modulation recognition (AMR), a key technology in cognitive radio, has emerged as a crucial solution to these challenges. Deep neural networks have been recently applied in AMR tasks and have achieved remarkable success. …”
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Control of Rock Block Fragmentation Based on the Optimization of Shaft Blasting Parameters by Qingxiang Li, Zhanyou Luo, Man Huang, Jiangbo Pan, Guoshu Wang, Yunxin Cheng

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Enhancing Infotainment Services in Integrated Aerial–Ground Mobility Networks by Chenn-Jung Huang, Liang-Chun Chen, Yu-Sen Cheng, Ken-Wen Hu, Mei-En Jian

“…To address these challenges, we propose an aerial-assisted vehicular network architecture that integrates 6G base stations, distributed massive MIMO networks, visible light communication (VLC), and a heterogeneous aerial network of high-altitude platforms (HAPs) and drones. …”
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Hybrid Network-on-Chip: An Application-Aware Framework for Big Data by Juan Fang, Sitong Liu, Shijian Liu, Yanjin Cheng, Lu Yu

“…To narrow the gap, a heterogamous design gives us a hint. A network-on-chip (NoC) introduces a packet-switched fabric for on-chip communication and becomes the de facto many-core interconnection mechanism; it refers to a vital shared resource for multifarious applications which will notably affect system energy efficiency. …”
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The Intelligent Sizing Method for Renewable Energy Integrated Distribution Networks by Zhichun Yang, Fan Yang, Yu Liu, Huaidong Min, Zhiqiang Zhou, Bin Zhou, Yang Lei, Wei Hu

“…The selection of the optimal 35 kV network structure is crucial for modern distribution networks. …”
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Video Coding for Machines With Neural-Network-Based Chroma Synthesis by Mateusz Lorkiewicz, Slawomir Rozek, Olgierd Stankiewicz, Tomasz Grajek, Slawomir Mackowiak, Marek Domanski

“…In this context, the novel contribution of this work is the application of neural networks to perform chroma synthesis at the decoder side, thus eliminating the need for direct chroma transmission. …”
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Optimized DINO model for accurate object detection of sesame seedlings and weeds by Yong Wang, ShunFa Xu, ZhenYuan Ye, KongHao Cheng

“…To overcome the high complexity and low detection accuracy limitations of the original DINO model for this problem, the backbone network was replaced with MobileNet V3, the SENet attention mechanism and neck structure were optimized, and the H-Swish6 activation function was introduced to suit edge devices. …”
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Personalizing Seizure Detection for Individual Patients by Optimal Selection of EEG Signals by Rosanna Ferrara, Martino Giaquinto, Gennaro Percannella, Leonardo Rundo, Alessia Saggese

“…The system uses an efficient Convolutional Neural Network that processes data from just two channels. …”
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Resource allocation based on optimal transport theory in IoT edge computing by Qi ZHANG, Yuna JIANG, Xiaohu GE, Yonghui LI

“…With the development of the Internet of things (IoT) and edge computing, the computation-intensive tasks of IoT devices can be offloaded to edge devices and processed at the edge of networks.Due to the variation of the distribution and computation requirements of IoT devices, the computation resources of edge networks need to be managed dynamically.The optimal transport theory was adopted to optimize the computation resources allocation in IoT networks.An optimized regional partition mechanism was proposed based on the distribution of IoT devices and locations of edge computing devices.Under constraints on the computing capabilities of edge computing devices, the energy consumption and delay of IoT devices were optimized.The simulation results show that, compared with the traditional Voronoi partition scheme, the proposed optimization mechanism shows better balance.The average transmitting power can be reduced by 21% and the average delay can be reduced by 45%.…”
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YOLOrot2.0: A novel algorithm for high-precision rice seed size measurement with real-time processing by Jinfeng Zhao, Zeyu Hou, Qin Wang, Sheng Dai, Kaicheng Yong, Xuan Wang, Jiawen Yang, Qianlong Nie, Yan Ma, Xuehui Huang

“…To address these issues, YOLOrot2.0 introduces the following improvements: Firstly, it utilizes an anchor-free detection algorithm to optimize the detection of rotated targets. Secondly, the utilization of the Kalman Filter IoU loss function, which combines the horizontal bounding box and smooth L1 loss function, accelerates the convergence speed of the network. …”
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An Optimization Method for Indoor Pseudolites Anchor Layout Based on MG-MOPSO by Xiaohu Liang, Shuguo Pan, Shitong Du, Baoguo Yu, Shuang Li

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Optimizing a Hydrogen and Methane Blending System Through Design and Simulation by Ştefan Ionuţ Spiridon, Bogdan Florian Monea, Eusebiu Ilarian Ionete

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Optimization Methodology for Meningioma and Acoustic Neuroma Detection Model Based on DCGAN by CHEN Jingcong, RAN Fengwei, ZHANG Haowei, LIU Ying

“…Compared with traditional dataset augmentation methods, the results show that after optimizing the dataset with DCGAN, the accuracy, specificity, and mAP (mean average precision) of the brain tumor detection model increase by 0.014 6, 0.022 4, and 0.030 0 respectively compared to the original dataset, reaching 0.932 8, 0.898 6, and 0.930 0. …”
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Classification of finger movements through optimal EEG channel and feature selection by Murside Degirmenci, Yilmaz Kemal Yuce, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Yalcin Isler

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Universal Continuous Model of Active Power Factor Correctors by Amelina M., Amelin S., Yakimenko I.

“…The models are designed to solve optimization problems aimed at increasing the energy efficiency of these devices. …”
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Caching deployment based on energy efficiency in device-to-device cooperative networks by Weiguang Wang, Hui Li, Yang Liu, Wei Cheng, Haoyang Qin

“…To tackle this problem, an iterative optimization algorithm is proposed to optimize the caching policy and network energy efficiency. …”
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Improved DV-Hop Node Localization Algorithm in Wireless Sensor Networks by Xiao Chen, Benliang Zhang

“…Secondly, the average one-hop distance between anchor nodes is modified, and the average one-hop distance used by each unknown node for estimating its location is modified through weighting the received average one-hop distances from anchor nodes. …”
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A sensor node scheduling algorithm for heterogeneous wireless sensor networks by Zhangquan Wang, Yourong Chen, Banteng Liu, Haibo Yang, Ziyi Su, Yunkai Zhu

“…The simulation results show that if keeping the same regional coverage rate, sensor node scheduling algorithm improves network lifetime, increases number of living sensor nodes, and keeps average node energy consumption at a low level. …”
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