Two-Stage User Identification Based on User Topology Dynamic Community Clustering by Jiajing Zhang, Zhenhua Yuan, Neng Xu, Jinlan Chen, Juxiang Wang

“…Experiments conducted on real-world social networks Twitter-Foursquare datasets demonstrate that compared with the global user matching method and hidden label node method, the average accuracy of the proposed UIUTDC algorithm is improved by 33% and 26.8%, respectively. …”
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Rancang Bangun Sistem Informasi Lokasi Meja Pada Food Court Menggunakan RFID (Radio Frequency Identification) Berbasis Aplikasi Android by Sri Hastuti, Sri Hastuti

“…  Keywords: Food Court, RFID, NodeMCU ESP8266, App Invetor2, Firebase Â…”
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A Radio Frequency System for Smart Attendance in Schools by Akeem Abimbola Raji, JOSEPH FOLORUNSO ORIMOLADE, IBRAHIM OLUWASEUN ADEBISI

“…The system  integrates database with hardware components such as Radio Frequency Identification (RFID) card, RFID reader, I2C driver, display unit and Node Microcontroller Unit (NodeMCU) which has lower power consumption and better processing speed than Arduino microctontroller commonly used in the literature. …”
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Optimal policy for composite sensing with crowdsourcing by Bei Zhao, Siwen Zheng, Jianhui Zhang

“…Under this relation, the composite node performs the sensing decision of the smartphone which based on its user’s decision. …”
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Towards Robust Routing in Three-Dimensional Underwater Wireless Sensor Networks by Ming Xu, Guangzhong Liu, Huafeng Wu, Wei Sun

“…Simulation results show that the proposed protocol can reduce node and link failures' impact on metrics of packet delivery ratio, network throughput, energy consumption, and average end-to-end delay.…”
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CacheCraft: A Topology-Aware PageRank Centrality Algorithm for Cache Optimization in Named Data Networking by Ridha M. Negara, Nana R. Syambas, Eueung Mulyana, Rashid M. Fajri, Mochamad S. Budiana

“…CacheCraft addresses these challenges by leveraging the PageRank algorithm to calculate the centrality of each node in the network. This centrality value determines the proportion of CS capacity assigned to each node, optimizing storage for nodes with higher traffic and strategic importance. …”
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Optimizing Handover Parameters by Q-Learning for Heterogeneous Radio-Optical Networks by Sihua Shao, Guanxiong Liu, Abdallah Khreishah, Moussa Ayyash, Hany Elgala, Thomas D. C. Little, Michael Rahaim

“…This CC resides in the LTE eNodeB and controls the handover parameters of all the visible light communication (VLC) APs under the coverage of the LTE eNodeB. …”
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RL-SCAP SigFox: A Reinforcement Learning Based Scalable Communication Protocol for Low-Power Wide-Area IoT Networks by Raghad Albalawi, Fatma Bouabdallah, Linda Mohaisen, Shireen Saifuddin

“…The findings show that, especially in situations with high node densities or constrained communication slots, the proposed protocol performs better than the basic SCAP (Slot and Channel Allocation Protocol) by obtaining a higher Packet Delivery Ratio (PDR) in average of 60.58%, greater throughput in average of 60.90%, and a notable decrease in collisions up to 79.37%.…”
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Path Planning of Intelligent Mobile Robots with an Improved RRT Algorithm by Wenliang Zhu, Guanming Qiu

“…Secondly, by merging collision detection with Kalman filtering, and by comparing the step sizes between newly generated child nodes and random tree nodes towards the root node, we filtered redundant points from the path, thereby reducing the count of effective points and optimizing the path. …”
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Comparison of clinicopathological features and prognostic analysis between early-onset and late-onset advanced rectal mucinous adenocarcinoma by Du Rui, Chang Yue, Li Yonghai, Cheng Yuanguang, Zhang Juan, Zhang Chengyue, Xu Liejuan, Liu Yuancheng

“…However, the early-onset group had higher patients proportions of TNM stage Ⅲ (76.1% vs. 58.6%), N2 stage (33.5% vs. 18.1%), >20 lymph node dissections (29.7% vs. 19.9%), lymph node positivity (58.1% vs. 45.4%), receiving chemotherapy (93.5% vs. 78.8%), receiving radiotherapy (75.5% vs. 56.1%), and receiving full course systemic therapy (41.3% vs. 21.2%) (P<0.05). …”
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Security decision method for the edge of multi-layer satellite network based on reinforcement learning by Peiliang ZUO, Shaolong HOU, Chao GUO, Hua JIANG, Wenbo WANG

“…Specifically, the edge center node obtains the environmental state of the satellite network through the perception system, and on this basis, uses the ability of deep reinforcement learning algorithm to learn independently, and obtains the optimal data offloading strategy in the scene by fitting, and obtains the optimal link planning., so that the onboard resources can be fully utilized, so as to achieve the goal of minimizing the average return delay of many observation tasks.First,the edge center node observes the environment and obtains state elements such as the data volume, channel conditions, and edge node processing capability of the observation satellite mission in the environment. …”
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Pre-Routing Slack Prediction Based on Graph Attention Network by Jinke Li, Jiahui Hu, Yue Wu, Xiaoyan Yang

“…Firstly, our model computes net embeddings for each node prior to training using a gated self-attention module. …”
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COMPARATIVE STUDY ON FREQUENCY DOMAIN FATIGUE ANALYSIS METHODS FOR HALF AXLE OF COMBINE HARVESTER by FU JingJing, WANG ChenSheng, CAI FuYou, NIU WenTie

“…Secondly, the static analysis of the half axle was carried out, and the transfer coefficients of stress and torque at the dangerous node of the walking half axle were obtained. Meanwhile, the stress time histories of the dangerous node of the half axle under various working conditions were obtained. …”
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Mixed RF-VLC Relaying Systems for High-Speed Rail Communication by Rupender Singh, Ijaz Ahmad, Jyrki Huusko

“…In the proposed system setup, a communication link is established between base station (BS) and end-user (UE) via a relay node mounted on the high-speed train (HST). The information is conveyed over backhaul RF links between BS and relay and over VLC links between relay and UE inside the train. …”
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Remote Irrigation Control Based on LoRa Technology and Fuzzy PID Algorithm by Yuliang Li

“…After systematic simulation analysis and actual testing, when the communication distance was 700m, the packet loss rate of the collection node in complex terrain was 0.95%, and the packet loss rate of the receiving node was 1.06%. …”
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Improved grey wolf optimization algorithm based service function chain mapping algorithm by Yue ZHANG, Junnan ZHANG, Xiaochun WU, Chen HONG, Jingjing ZHOU

“…With the rise of new Internet applications such as the industrial Internet, the Internet of vehicles, and the metaverse, the network’s requirements for low latency, reliability, security, and certainty are facing severe challenges.In the process of virtual network deployment, when using network function virtualization technology, there were problems such as low service function chain mapping efficiency and high deployment resource overhead.The node activation cost and instantiation cost was jointly considered, an integer linear programming model with the optimization goal of minimizing the average deployment network cost was established, and an improved grey wolf optimization service function chain mapping (IMGWO-SFCM) algorithm was proposed.Three strategies: mapping scheme search based on acyclic KSP algorithm, mapping scheme coding and improvement based on reverse learning and nonlinear convergence were added to the standard grey wolf optimization algorithm to form this algorithm.The global search and local search capabilities were well balanced and the service function chain mapping scheme was quickly determined by IMGWO-SFCM.Compared with the comparison algorithm, IMGWO-SFCM reduces the average deployment network cost by 11.86% while ensuring a higher service function chain request acceptance rate.…”
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Reactive routing protocol is one of the most important parameters in MANET, so a study of their performance is done in the next sub sections using NS2 by MOHAMMED ALAWADI

“…As in the previous network structure, each node performs both the action of a router and a host. …”
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Optimal Design for One-Dimensional ALOHA Ad Hoc Networks Based on Stochastic Geometry by Seunghee Lee, Ganguk Hwang

“…As a performance metric we consider the average number of nodes that successfully receive a packet from an arbitrary node. …”
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FRER mechanism based on frame preservation caching in time-sensitive networking by CAI Yueping, HU Shaoliu, HAN Xiao

“…An improved FRER mechanism based on frame preservation caching at intersecting node (FRER-FPCIN) was proposed to solve the frame disorder problems, which resulted in the cache overflow and frame discarding. …”
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A Secure and Green Cognitive Routing Protocol for Wireless Ad-Hoc Networks by Muhammad Saqib Javed, Rana Abu Bakar

“…Our simulation results indicate that the COG Protocol significantly enhances energy efficiency and extends node lifetime compared to existing protocols. The COG Protocol achieved an average residual energy of 2.5J and prolonged the node lifetime to 352 seconds. …”
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