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141
A dynamic global backbone updating for communication-efficient personalised federated learning
Published 2022-12-01“…These two issues have a significant impact on FL's effectiveness and efficiency. …”
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142
Adaptive Fuzzy Sliding Mode and Robust Tracking Control for Manipulators with Uncertain Dynamics
Published 2020-01-01“…In response to the issue of the trajectory tracking control problem of manipulators with uncertain parameters and external disturbance, an adaptive fuzzy sliding mode robust control algorithm is proposed. …”
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143
Exponential Synchronization for Stochastic Neural Networks with Mixed Time Delays and Markovian Jump Parameters via Sampled Data
Published 2014-01-01“…The exponential synchronization issue for stochastic neural networks (SNNs) with mixed time delays and Markovian jump parameters using sampled-data controller is investigated. …”
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144
Dynamic Response Characteristic of Building Structure under Blasting Vibration of underneath Tunnel
Published 2022-01-01“…The vibration induced by blasting excavation of the subway tunnel in complex urban environments may cause harmful effects on adjacent buildings. Investigating the dynamic response of adjacent buildings is a key issue to predict and control blasting hazards. …”
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145
Management of virgin beech forests in Serbia and the dynamics of changes in their basic structural elements
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146
Dynamics of cognitive functions in patients with hemoblastosis treated with hematopoietic stem cell transplantation
Published 2023-12-01“…The aim of this study was to investigate the level and dynamics of memory and attention parameters in oncological patients undergoing hematopoietic stem cell transplantation.Material and methods. …”
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147
Dynamic Aerial Small Target Detection Algorithm Based on Compound Zoom Scaling
Published 2025-04-01“…This module, coupled with a task alignment predictor, facilitates both target classification and localization allocation, and the task decomposition is performed by dynamically computing task features through an attention mechanism, thereby reducing the number of parameters effectively and enhancing overall performance. …”
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148
Networked Sensor-Based Adaptive Traffic Signal Control for Dynamic Flow Optimization
Published 2025-06-01“…To effectively mitigate this issue, we propose an approach that leverages sensor networks to monitor real-time traffic data across road networks, enabling the precise characterization of traffic flow dynamics. …”
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149
A computational time integrator for heat and mass transfer modeling of boundary layer flow using fuzzy parameters
Published 2025-03-01“…The Hartmann number, Eckert number, and reaction rate parameters are selected as fuzzified parameters in the dimensionless model of partial differential equations. …”
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150
Reconstruction of downhole fluid dynamics: Performance comparison of multiple vortex tool types
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151
Anomaly detection solutions: The dynamic loss approach in VAE for manufacturing and IoT environment
Published 2025-03-01“…The innovative dynamic loss function integrates a tempering index mechanism with tuneable parameters (α and γ), which assigns higher weights to underrepresented classes and down-weights easily classified samples. …”
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152
Beam Dynamics Study on High Intensity Cyclotron for Boron Neutron Capture Therapy
Published 2025-01-01“…This involved both static and dynamic trajectory calculations to ensure that meets isochronism conditions and avoids serious issues caused by resonance crossing, which could adversely affect beam stability and quality. …”
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153
Coupling of Lagrangian Mechanics and Physics-Informed Neural Networks for the Identification of Migration Dynamics
Published 2025-03-01“…An essential aspect of any government in a smart city is to examine the issues of internal and external migration. Migration is a complex phenomenon. …”
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154
Analysis of a Comprehensive Mathematical Model for Leptospirosis Dynamics: An Optimal Control Application
Published 2025-01-01“…Sensitivity analysis is conducted using a normalized forward sensitivity index to illustrate the impact of model parameters on disease dynamics. Furthermore, the effects of intervention strategies on the spread and overall impact of the epidemic are examined through the application of optimal control theory. …”
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155
Sitting and Standing Intention Detection Based on Dynamical Region Connectivity and Entropy of EEG
Published 2023-01-01“…Based on the brain signals, decoding and analyzing the gait features to make a reliable prediction of action intention are the core issues in the brain computer interface (BCI)-based hybrid rehabilitation and intelligent walking aid robot system. …”
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156
Improving Bus Operations through Integrated Dynamic Holding Control and Schedule Optimization
Published 2018-01-01“…Passengers will suffer from the uncertainty of travel time and the excessive waiting time. Existing dynamic holding strategies to address bus bunching have two major limitations. …”
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157
Dynamic monitoring and warning system for unstable rock collapse and its engineering application
Published 2025-07-01“…Second, a “four-in-one” monitoring index system integrating static, dynamic, kinematic, and environmental parameters was developed. …”
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158
Utilization the Taguchi Method for Simultaneous Optimization of Microgrid Parameters through the Proposed Criterion for Stability of PLL in Network Connected Converters
Published 2024-02-01“…This paper investigates the dynamic performance and the stability of synchronous reference frame phase-locked loop (SRF-PLL) influenced by microgrid and network-side parameters. …”
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159
Distributed State Estimation for Dynamic Positioning Systems with Uncertain Disturbances and Transmission Time Delays
Published 2020-01-01“…The dynamic positioning system of unmanned underwater vehicles (UUVs) is a complex and large-scale system mainly due to the nonlinear dynamics, uncertainty in model parameters, and external disturbances. …”
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160
Response estimation and system identification of dynamical systems via physics-informed neural networks
Published 2025-04-01“…Or in an additional context, in inverse modelling from noisy full-field data, modelling assumptions are compounded in to the observation uncertainty approximation. To address these issues, this paper explores the use of Physics-Informed Neural Networks (PINNs), a class of physics-enhanced machine learning (PEML) techniques, for the identification and estimation of dynamical systems. …”
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