Research on Associative Cognition Networks with Educational Robotics for Learning Healthy Hydration Habits. by Alejandro De la Hoz Serrano, Lina Viviana Melo Niño, Florentina Cañada Cañada, Javier Cubero Juánez

“…The nodes with the highest Degree are in the center of the network, such as Milk, Natural juice, 2 liters of water, 200 ml of water or Sweetened beverages, while Energy drinks and Natural lemonade, which have the lowest relevance, are located further away. …”
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Hierarchy measure for complex networks. by Enys Mones, Lilla Vicsek, Tamás Vicsek

“…Then, we define the global reaching centrality (GRC), which is the difference between the maximum and the average value of the generalized reach centralities over the network. …”
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Evaluation of Scalability and Resilience of Hyperledger Fabric in Blockchain Implementation for Diploma Management by Cahyani Pebriyanti, Galura Muhammad Suranegara

“…The system is tested using the Caliper benchmark tool in various network and scalability scenarios, including normal conditions (baseline), network delay of 50ms, 100ms, 200ms, and 500ms; packet loss of 1%, 5%, 10%, and 15%; bandwidth limitation of 5 Mbps; high transaction load (scalability standard and scalability optimized); and extreme conditions in the form of Byzantine attacks with malicious nodes of 10%, 30%, and 50%. The evaluation was conducted using four key metrics: transaction success rate, failure rate, average transaction latency, and throughput (TPS). …”
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ULTRASONIC DISSECTION AND COAGULATION BY ATTACHMENT «HARMONIC FOCUS» IN ANATOMIC RESECTION OF THE LUNG by A. L. Akopov, A. . Karlson

“…The duration of the lobectomy was 127±35 minutes at the average and in the case of pneumoectomy, it consisted of 120±45 minutes. …”
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An Efficient Framework for Large Scale Multimedia Content Distribution in P2P Network: I2NC by M. Anandaraj, P. Ganeshkumar, K. P. Vijayakumar, K. Selvaraj

“…It generalizes traditional network routing by allowing the intermediate nodes to generate new coded packet by combining the received packets. …”
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Esophageal Cancer Metastases to Unexpected Sites: A Systematic Review by Osama Shaheen, Abdulaziz Ghibour, Bayan Alsaid

“…The most common pattern of esophageal cancer metastases (ECM) is to the lymph nodes, lung, liver, bones, adrenal glands, and brain. …”
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TAQNet: Traffic-Aware Minimum-Cost Quantum Communication Network Planning by Ilora Maity, Junaid ur Rehman, Symeon Chatzinotas

“…The primary challenge in deploying a QCI is the cost of using optical fibers and trusted repeater nodes (TRNs). Practical systems combine quantum and classical channels on the same fiber to reduce the cost of fibers dedicated to QKD. …”
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GT-SRR: A Structured Method for Social Relation Recognition with GGNN-Based Transformer by Dejiao Huang, Menglei Xia, Ruyi Chang, Xiaohan Kong, Shuai Guo

“…Specifically, the purpose of a novel and robust hybrid feature extraction module is to capture individual characteristics, relative positional information, and group-level cues, which are used to construct relation nodes and group nodes. A modified GGNN is then employed to model the logical dependencies between features. …”
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Improvement of the Method of Calculation of Steady-State Modes of Urban Electric Networks Taking into Account Consumer Energy Sources by M. I. Fursanov, A. A. Zalotoy

“…Consumer loads are modeled by current sources connected to network nodes. The parameters of the current sources are usually graphs of the change of the module of the actual current value and the power factor in time. …”
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Performance Evaluation of a Mesh-Topology LoRa Network by Thomas Gerhardus Durand, Marthinus Johannes Booysen

“…Nodes located further than 5.8 km from a gateway’s packet delivery ratio were increased from an average of 40.2% to 73.78%. …”
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Research on Unmanned Aerial Vehicle Path Planning for Carbon Emission Monitoring of Land-Side Heavy Vehicles in Ports by Xincong Wu, Zhanzhu Li, Xiaohua Cao

“…The algorithm improves the search method of child nodes by eliminating nodes that collide with obstacles, thereby reducing the threat of path collisions. …”
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A dual layer secure and energy-efficient model for border surveillance using sea lion inspired strategy in wireless sensor networks by Jayachandran J, Vimaladevi K

“…Unlike other methods, this solution tends to firmly segregate legitimate from malicious nodes, thereby reinforcing the network. The simulation results for selective forwarding attacks with 10 malicious nodes in 100 iterations detected threats within 7 rounds with a packet transmission efficiency of 97.9%, while for wormhole attacks detection within 2 rounds, packet transmission efficiency of 98.3%, and average energy consumption of about 0.122J, significantly increasing the network lifetime. …”
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Heuristic based federated learning with adaptive hyperparameter tuning for households energy prediction by Liana Toderean, Mihai Daian, Tudor Cioara, Ionut Anghel, Vasilis Michalakopoulos, Efstathios Sarantinopoulos, Elissaios Sarmas

“…The impact on network traffic among nodes across different layers is kept below 30 KB. …”
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Application of the SARIMA-LSTM model to evaluate the effectiveness of interventions for Visceral Leishmaniasis by Mengchen Han, Chongqi Hao, Zhiyang Zhao, Peijun Zhang, Bin Wu, Lixia Qiu

“…Results: In the SARIMA-LSTM model, the LSTM component included seven hidden layer nodes, a learning rate of 0.001, 500 training epochs, a batch size of 256, and utilized the Adam optimization algorithm. …”
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Nonparametric Bootstrap-Based Multihop Localization Algorithm for Large-Scale Wireless Sensor Networks in Complex Environments by Yongji Ren, Ning Yu, Xiao Wang, Ligong Li, Jiangwen Wan

“…On this basis, we integrate the interval analysis method with bootstrap approach for ordinary nodes localization. To reduce the computational complexity, boxes approach is utilized to approximate the irregular intersections. …”
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Path Planning of Surface vessel based on improved IRRT* algorithm by Hao Yu, Xin Wang, Hao Peng

“…Simulation experiments and actual sea area tests show that compared with the existing algorithms, the average Computation time of the improved algorithm is reduced by 71 %, 69 % and 79 % respectively, and the planned path length is reduced by 28 %, 28 % and 1 %, respectively. the number of search nodes is reduced by 88 %, 86 % and 81 %. …”
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Link Availability-Aware Routing Metric Design for Maritime Mobile Ad Hoc Network by Shuaiheng Huai, Tianrui Liu, Yi Jiang, Yanpeng Dai, Feng Xue, Qing Hu

“…In this paper, a mobility model for small unmanned surface vessels based on smooth Gaussian semi-Markovian and a trajectory prediction method for large vessels based on a bi-directional long short-term memory network are proposed to better simulate the nodes’ movement in the M-MANET. Then, a link available based routing metric is proposed for M-MANET scenarios, which incorporates factors of mobility model and vessel trajectory. …”
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Consideration of corona discharge in relation to operational dispatch control of power system mode 500 kV by V. A. Menshov, A. V. Valiansky, T. I. Khairullin

“…The article presents the elements and the results of applying the methodology developed by the authors which is intended to determine the parameters of unobservable nodes of the power system. The shortage of a new type of electrical measuring instruments - phasor measurement unit (PMU) - determines a need of the development of an algorithm for computing the electrical parameters of unobservable nodes of the power system, i.e. nodes not equipped with PMU.Goal - using the example of an overhead power transmission line (LEP) with a length of 286 km, to conduct a study of the effect of corona discharge under various weather conditions characteristic of a number of Russian regions on changes in the operating parameters of power lines: voltage losses, phase angle of current and voltage.Materials and methods. …”
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The Impact of Prediction Models on Energy-Aware Resource Management in FaaS Platforms by Shahrokh Vahabi, Francesca Righetti, Carlo Vallati, Nicola Tonellotto

“…Moreover, resource allocation performed through the EA-RM algorithm reduces the energy consumption by ~12-45% on average w.r.t. competitors, and is proven to be more robust w.r.t. the accuracy of the prediction model used.…”
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Relationship Extraction and Processing for Knowledge Graph of Welding Manufacturing by Kainan Guan, Liang Du, Xinhua Yang

“…In addition, the knowledge graph is built based on extracted relationships, and unique empirical relationships are handled by introducing relational nodes and databases. The results show that BiLSTM+Attention gets a good score with Macro-average metrics (0.788 for Precision, 0.846 for Recall, and 0.816 for F1-score). …”
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