A Trusted Federated Learning Method Based on Consortium Blockchain by Xiaojun Yin, Xijun Wu, Xinming Zhang

“…Federated learning (FL) has gained significant attention in distributed machine learning due to its ability to protect data privacy while enabling model training across decentralized data sources. …”
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A Distributed Task Allocation Strategy for Collaborative Applications in Cluster-Based Wireless Sensor Networks by Feng Wang, Guangjie Han, Jinfang Jiang, Hao Qiu

“…Based on the service abilities of cluster members, the service ability of each cluster is calculated. …”
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ML-Based Materials Evaluation in 3D Printing by Izabela Rojek, Dariusz Mikołajewski, Krzysztof Galas, Jakub Kopowski

“…Machine learning (ML) is transforming the evaluation of 3D printing materials, enabling more efficient and accurate assessment of material properties, including their sustainable life cycle. …”
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GenSDF: An MPI-Fortran based signed-distance-field generator for computational fluid dynamics applications by Akshay Patil, Udhaya Chandiran Krishnan Paranjothi, Clara García-Sánchez

“…This paper presents a highly efficient signed-distance field (SDF) generator designed specifically for computational fluid dynamics (CFD) workflows. …”
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Agrobacterium-mediated transient transformation of Flaveria bidentis leaves: a novel method to examine the evolution of C4 photosynthesis by Christopher J. Baros, Jeremy Beerkens, Martha Ludwig

“…However, this technique has not been applied to the genus Flaveria. Here, an efficient protocol for the Agrobacterium-mediated transient transformation of the leaves of the C4 species Flaveria bidentis is presented. …”
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Wavelet attention-based implicit multi-granularity super-resolution network by Chen Boying, Shi Jie

“…Secondly, local implicit features are introduced to enhance the encoder’s ability to aggregate local neighborhood features. …”
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A Robust Method for Validating Orientation Sensors Using a Robot Arm as a High-Precision Reference by József Kuti, Tamás Piricz, Péter Galambos

“…This paper presents a robust and efficient method for validating the accuracy of orientation sensors commonly used in practical applications, leveraging measurements from a commercial robotic manipulator as a high-precision reference. …”
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WaveConv-sLSTM-KET: A Novel Framework for the Multi-Task Analysis of Oil Spill Fluorescence Spectra by Shubo Zhang, Menghan Li, Jing Li

“…The frequent occurrence of marine oil spills underscores the need for efficient methods to identify spilled substances and analyze their thickness. …”
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Fault diagnosis method of telecom cloud platform based on deep CNN model by Qingpu Hu, Jian Hu

“…In addition, under low noise conditions (signal-to-noise ratio>6), the accuracy of the WCNN model is further improved to 99.3 %, and the model complexity is reduced by 42 % compared to traditional convolutional neural networks, resulting in a 30 % increase in computational efficiency. The research has verified the anti-interference ability and feature preservation advantages of the WCNN model in strong noise environments, providing an efficient solution for fault diagnosis in telecommunications cloud platforms.…”
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Time course of indirect reply comprehension in the young and older adults: an event-related potential study by Wangshu Feng, Xiaokun Zhang, Weijuan Wang, Lin Fan

“…As individuals age, their ability to make efficient and accurate pragmatic inferences may decline, leading to communication difficulties.ObjectivesThis study examined the cognitive aging phenomenon of pragmatic inference and its neural mechanisms using EEG recordings.MethodsParticipants were presented with dialogues involving direct and indirect replies and were required to judge the speaker's intended meaning based on the context.ResultsYounger participants outperformed older participants in task accuracy for indirect replies. …”
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THE BUSINESS ECOSYSTEM APPROACH APPLIED TO THE INDUSTRIAL HERITAGE MANAGEMENT by Maria Concetta Perfetto, Angelo Presenza

“…The analysis of the case reveals that an efficient project of IHBE relies on a system capable to link the creative idea, the organization and the business ecosystem in order to reach the market satisfaction; the IHBE success is related to the ability to co-evolve and valorize the actors involved in the project, generating a series of trust relationships primarily focused on the coproduction. …”
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A novel time difference of arrival localization algorithm using a neural network ensemble model by Zhenkai Zhang, Feng Jiang, Boyuan Li, Bing Zhang

“…The simulation results show that the proposed algorithm is efficient in improving the generalization ability and localization precision of the neural network ensemble model.…”
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Correlations between Antioxidant Activity and Alkaloids and Phenols of Maca (Lepidium meyenii) by Jin Gan, Ying Feng, Zhao He, Xian Li, Hong Zhang

“…Chloroform was selected to be an efficient extraction solvent for antioxidant compounds in maca by polarity fractions test. …”
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Comparative performance of Bacillus spp. in growth promotion and suppression of tomato bacterial wilt caused by Ralstonia solanacearum by Soad A. Algam, XIE Guan-lin, LI Bin, Coosemans, LIU Bo

“…Forty-seven isolates of Bacillus were evaluated for their ability to inhibit the growth of Ralstonia solanacearum, the causal agent of bacterial wilt of tomato in vitro. …”
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Reversion free high-temperature vulcanization of cis-polybutadiene rubber with the accelerated-sulfur system by S. Gopi Sathi, R. Stocek, O. Kratina

“…The anti-reversion ability of MF was also compared with Perkalink 900 (1,3-bis (citraconimidomethyl) benzene: PL). …”
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Gear Fault Diagnosis Based on EMD Decomposition and Levy-SSA-BP Neural Network by Xu Jingwen, Yang Ping, Yin Xiaojun

“…Secondly, calculating the correlation coefficient of each IMF with the original signal, and the feature extractions of each component are carried out to form a feature matrix. …”
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Routing algorithm for railway monitoring linear WSN based on improved PSO by Cuiran LI, Xuejie WANG, Jianli XIE, Anqi LYU

“…To solve the problems of short network lifetime and large data transmission delay, caused by unbalanced node energy consumption of linear wireless sensor network in railway monitoring scenario, a routing algorithm based on particle swarm optimization theory and breadth first search was proposed.The fitness function was constructed based on the relative energy consumption, spacing and load of candidate cluster heads.The local search ability of particle swarm algorithm was enhanced by adjusting the inertia weight coefficient to set up the cluster head optimal set.Meanwhile, a path cost function driven by energy consumption and delay was built up, and the optimal main path from the source node to the sink node was obtained by breadth first search.Lastly, a Q-learning alternative path updating and route maintenance mechanism based on discrete Markov decision process (MDP) was designed.Simulation results show that the proposed algorithm can balance the node energy consumption effectively, and has also advantages in prolonging the network lifetime and reducing the data transmission delay.…”
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Experimental researches of technological fluids' influence on gas permeability of sand-stone reservoirs by Vladimir Alekseevich Gridin, Valery Evseevich Dubenko, Julianna Konstantinovna Dimitriadi, Aleksandr Vladimirovich Serov

“…The dependence of permeability recovery coefficient, accepted as indicator of mudding ability of investigated fluids from initial permeability of clayless reservoirs was received.…”
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Influence of Traction Force on Locomotive Wheel-Rail Relationship by Xiao WU, Junjun DING, Yunhua HUANG, Fu LI

“…Compared with the 60 kg/m rail, the 60N rail has a stronger ability to resist wear, but it is easy to produce rolling contact fatigue.…”
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Investigation of metrological parameters of measuring system for small temperature changes by M. G. Samynina, V. A. Shigimaga

“…Several series thermistors with a negative temperature coefficient of resistance connected into a linearization circuit were used as the sensing element of the semiconductor device. …”
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