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201
Federated Learning Based on OPTICS Clustering Optimization
Published 2022-01-01“…In the real environment, the distribution of data among nodes is often inconsistent. By analyzing the influence of independent identically distributed data (non-IID) on the accuracy of FL, it is shown that the accuracy of the model obtained by the traditional FL method is low. …”
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202
Spectrum access control for cognitive internet of things users based on enhanced weighted centroid localization
Published 2023-03-01“…In the cognitive internet of things (CIoT), due to the non-cooperative characteristics between the primary user (PU) and the secondary user (SU), it is unreliable to seek the spectrum access opportunity by merely relying on traditional spectrum sensing technology.As an important type of auxiliary information, the mutual location information between PU and SU can assist in determining the possibility of secondary access to the licensed frequency band (LFB).A low-complexity neighbor-based weighted centroid localization (NB-WCL) algorithm was proposed to solve the localization problem of SUs in CIoT, so as to complete the decision of whether spectrum access can be performed at each geographical location in CIoT.The root mean square root error (RMSE) performance of two-dimensional position estimation was analyzed and the impacts of factors were verified such as communication radius, node density, shadowing influence, path loss exponent, connectivity metric, and the number of data transmitted on the algorithm performance in simulations.The theoretical derivation and experimental results show that the proposed scheme provides more robust and better localization error performance for the SU localization algorithm in CIoT than the traditional localization algorithms, which can effectively enhance the reliability of CIoT for spectrum access.The proposed scheme can serve as a practically effective candidate solution in the CIoT.…”
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203
Static Stability Analysis Based on Probabilistic Power Flow Calculation considering P2G Technology
Published 2021-01-01“…The applicability of proposed methodology is demonstrated by analyzing an integrated IEEE 14-bus power system and a Belgian 20-node gas system in this paper.…”
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204
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Dynamic Response of Parallel Hoisting System under Drive Deviation between Ropes with Time-Varying Length
Published 2017-01-01“…The variable-domain three-node elements of rope are employed and the corresponding differential algebraic equations (DAEs) are derived using Lagrange’s equations of the first kind. …”
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206
Glycosylation gene expression profiles enable prognosis prediction for colorectal cancer
Published 2025-01-01“…The model exhibits good predictive performance and is significantly associated with clinical features such as age, N stage, M stage, and lymph node count. The prognostic genes are involved in various biological processes and pathways, influence T cell differentiation, and may contribute to CRC development. …”
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207
Sensitivity Evaluation of AP1000 Nuclear Power Plant Best Estimation Model
Published 2017-01-01“…The results show that core channel number, core channel node number, and the pressurizer node number have apparent influences on the coolant temperature variation and pressure drop through the reactor. …”
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208
Bifurcation Behavior Analysis in a Predator-Prey Model
Published 2016-01-01“…The aim is to explore how some key factors influence dynamic evolutionary mechanism of steady conversion and bifurcation behavior in predator-prey model. …”
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209
Studies on staphylococcal vaccines for mastitis in dairy cows
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210
Increasing the Accuracy of Brain Stroke Classification using Random Forest Algorithm with Mutual Information Feature Selection
Published 2024-08-01“…With an increase, where there is no significant difference, it can be said that almost all the attributes contained in the brain stroke dataset used have an influence on their relevance to the stroke disease class.…”
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211
Compressive sensing based data gathering algorithm over unreliable links in WSN
Published 2016-09-01“…To solve the problem that the ubiquitous unreliable links in the WSN influence the performance of the compressive sensing (CS) based data gathering,first the relationship between the reconstruction SNR of CS-based data gathering algorithm and the bit-error-ratio (BER) were simulated quantitatively.Then classify two cases were classified,namely light-payload and heavy-payload,relying on the analysis of wireless link packet loss characteristics.The random packet loss model was conceived to describe the packet loss under light-payload scenario.Further the neighbor topology spatial correlation prediction-based CS data gathering (CS-NTSC) algorithm was proposed,which utilized the nodes spatial correlation to reduce the impact of error.Additionally,the node pseudo-failure model was conceived to describe the packet loss occurred in network congestion,and then the sparse schedule-aided CS data gathering (CS-SSDG) algorithm were conceived,for the purpose of changing the sparsity of measurement matrix and avoiding measurements amongst the nodes affected by unreliable links,thus weakening the impact of error/loss on data reconstruction.Simulation analysis indicates that the proposed algorithms are not only capable of improving the accuracy of the data reconstruction without extra energy,but also effectively reducing the impact affected by the unreliable links imposed on CS-based data gathering.…”
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212
Dynamics analysis of a predator-prey model with Allee effect and harvesting effort
Published 2024-10-01“…Under the framework of mathematical theory deduction, some conditions for the occurrence of transcritical, saddle-node, Hopf, and Bogdanov-Takens bifurcations were derived with harvesting effort and the Allee effect as key parameters. …”
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213
Core features of positive mental health in adolescents and their protective role against psychopathology
Published 2025-02-01“…Conversely, positive affect, social skills, perseverance and poor stress management are identified as downstream nodes with limited influence on other components. …”
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214
Fast Skyline Community Search in Multi-Valued Networks
Published 2020-09-01“…However, in terms of widely existing multi-valued networks, where each node has d (d⩾1) numerical attributes, almost all existing algorithms either completely ignore the attributes of node at all or only consider one attribute. …”
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215
Organ Donation Conversations on X and Development of the OrgReach Social Media Marketing Strategy: Social Network Analysis
Published 2025-02-01“…The posts were analyzed using social network analysis and qualitative thematic analysis. NodeXL Pro was used to retrieve and analyze the data, and a network visualization was created by drawing upon the Clauset-Newman-Moore cluster algorithm and the Harel-Koren Fast Multiscale layout algorithm. …”
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216
Nonlinear Resonance Analysis of Slender Portal Frames under Base Excitation
Published 2017-01-01“…Those solutions can be stable and unstable, in particular saddle-node bifurcation at the turning points along the resonance curves. …”
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217
RESEARCH ON DYNAMIC PROPERTY FOR CASTING CRANE IN THE LOAD-LIFTING PROCESS BASE ON THERMO-ELASTIC COUPLING
Published 2018-01-01“…Analysis results show that,the lifting position and speed of the iron melt ladle have great influence on the dynamic property of the steel wire rope. …”
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218
Coordination of Supply Chains with Competing Manufacturers considering Fairness Concerns
Published 2020-01-01“…The sharing contract designed in this study can not only effectively improve the utility of retailers and manufacturers but also enhance the total utility of the channel to ensure that node enterprises have long-term, stable, and cooperative relationships and to strengthen the overall competitiveness of the supply chain.…”
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219
Tumor Size as a Critical Prognostic Factor in T1-2 Stage Esophageal Cancer
Published 2020-01-01“…Thus, the present study is aimed at investigating the influence of T stage on the predictive value of tumor size in clinical stage I–IV esophageal cancer patients. …”
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220
A Fuzzy-Decision Based Approach for Composite Event Detection in Wireless Sensor Networks
Published 2014-01-01“…In the case that the sensory data of most nodes are normal, the two-dimensional τ-GAS algorithm can filter the fault node data effectively and reduce the influence of erroneous data on the event determination. …”
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