A crowdsensing-based framework for sound and vibration data analysis in smart urban environments by Boban DAVIDOVIC, Sanja DEJANOVIC, Maja DAVIDOVIC

“… In this paper, we introduce a framework tailored to the precise analysis of sound and vibration data in the dynamic context of smart cities. By harnessing the power of crowdsensing data, our system offers a robust and highly adaptable solution for the real-time monitoring and comprehensive assessment of acoustic and vibrational parameters within urban environments. …”
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Vibrational Response of Solid RC Slab System Under Synchronized Multiperson Walking Excitation by Tazwar Bakhtiyar Zahid, Khan Mahmud Amanat

“…This reduces the serviceability of the building in terms of occupant discomfort, adaptability to dynamic load, durability issues resulting from undesirable cracking, and service life. …”
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THE SOCIO-ECONOMIC APPROACH TO THE ANALYSIS OF PUBLIC SATISFACTION WITH THE QUALITY OF PAID MEDICAL SERVICES by S. N. Puzin, M. N. Dudin, O. V. Sertakova

“…With the development of medicine in the commercial segment of the Russian health issues relevance, related to ensuring the quality of paid medical services, their economic and physical access to the public are becoming increasingly relevant. …”
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Optimizing Connectivity and Network Management with SDN Technology on VANET Using the SSF Method by Hane Yorda Dinata, Galura Muhammad Suranegara

“…However, VANET faces challenges such as signal fluctuations, data security issues, and high mobility, which affect network reliability. …”
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Evaluation of Pore-Type Carbonate Reservoir Connectivity Based on Electrical Imaging by SUN Jianmeng, CHENG Yaodong, HE Juan, LIU Zhang, CHEN Peiyuan

“…Therefore, the evaluation of the connectivity of pore-type carbonate reservoirs is the key issue in the evaluation of carbonate reservoirs. …”
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Performance Optimization Method of Steam Generator Liquid Level Control Based on Hybrid Iterative Model Reconstruction by Xiaoyu Li, Xiangsong Kong, Changqing Shi, Jinguang Shi, Zean Yang

“…Then, the current iteration point is used to dynamically reconstruct the two types of models. Finally, the two types of models are dynamically reconstructed using the current iteration points. …”
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Control strategy of robotic manipulator based on multi-task reinforcement learning by Tao Wang, Ziming Ruan, Yuyan Wang, Chong Chen

“…To tackle this issue, instead of uniform parameter sharing, we propose an adjudicate reconfiguration network model, which we integrate into the Soft Actor-Critic (SAC) algorithm to address the optimization problems brought about by parameter sharing in multi-task reinforcement learning algorithms. …”
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New design of an intelligent electromagnetic torque controller based on neural network and fractional calculus: Variable-speed wind energy systems application by Yattou El Fadili, Ismail Boumhidi

“…The main contribution of this present work is to tackle this undesirable issue that can damage the system, destroy the components, and lead the system to instability. …”
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A Phase-Cum-Time Variant Fuzzy Time Series Model for Forecasting Non-Stationary Time Series and Its Application to the Stock Market by A. J. Saleena, C. Jessy John, G. Rubell Marion Lincy

“…The concept of the model rebuilding process is applied to handle changes over each phase and the modified parameter adaptation technique is used for the time variations within each phase. …”
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PSO Tuned Super-Twisting Sliding Mode Controller for Trajectory Tracking Control of an Articulated Robot by Zewdalem Abebaw Ayinalem, Abrham Tadesse Kassie

“…Articulated manipulators, though, pose challenges due to their complex, nonlinear nature and susceptibility to uncertainties such as parameter changes, joint friction, and external disturbances. …”
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Active Disturbance Rejection Control over Superheated Steam Temperature Based on Multi-objective Particle Swarm Optimization by Haiming NIU, Jiao YU, Changfu DING, Zhaohui WANG, Bin TIAN

“…Regarding the existing issues in the control of superheated steam temperature, which are related to the control system dynamic characteristics, such as large inertia, long duration of time lag and strong nonlinearities, as well as the difficulties to set the parameters of the controller under certain disturbances, this paper presents the cascade active disturbance rejection control-linear active disturbance rejection control (ADRC-LADRC) strategy. …”
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Performance and Energy Consumption Analysis for UWSNs with Priority Scheduling Based on Access Probability and Wakeup Threshold by Ning Li, Zhiyu Xiang, Liang Feng, Zhiqiang Gao, Jiaqi Liu, Haitao Gu

“…However, the high energy consumption in these networks can significantly reduce their operational lifespan, while latency issues can impair overall network performance. To address these challenges, a novel mixed packet forwarding strategy is developed, which incorporates a wakeup threshold and a dynamically adjusted access probability for the cluster head (CH). …”
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System identification and robust PID controller tuning of quarter car suspension system using hybrid optimization techniques by S. Sakthiya Ram, C. Kumar, R. Saravanakumar, David Banjerdpongchai

“…Traditional PID controllers often fall short due to issues like nonlinear dynamics, uncertain parameters, and limited robustness. …”
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Remaining Useful Life Prediction of Rolling Bearings Based on Policy Gradient Informer Model by Jiahao XIONG, Feng LI, Baoping TANG, Yongchao WANG, Ling LUO

“…Then, the self-attention distillation operation is used to reduce its number of parameters and their dimensions and enhance the prediction robustness of time series. …”
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Design and Construction Control of Warm Mix Epoxy Asphalt Mixture with Low Epoxy Content for Service Area Pavements by Bo Chen, Kai Chen, Xuetang Xiong, Yi Deng, Zicong Chen, Weixiong Li, Huayang Yu

“…Highway service area pavements are exposed to severe conditions such as heavy traffic, oil infiltration, and temperature fluctuations, which lead to issues like rutting and cracking in conventional asphalt mixtures. …”
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Rainfall-induced Landslide Susceptibility Prediction Considering Spatial Heterogeneity by ZHANG Xingfu, JIANG Yuanjun, ABI Erdi

“…Bayesian methods were employed to dynamically update model parameters, enabling real-time adaptation to changing rainfall conditions. …”
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Can MEMS-based particulate matter sensors reliably measure mass? by Tony Merrien, Julien Sorel, Frédéric Marty, Pierre Didier, Emmanuelle Algré, Evelyne Géhin

“…A bulk-mode MEMS microbalance with T-shaped tethers was designed to simultaneously address key issues such as active surface area, spatial sensitivity, and parasitic feedthrough currents. …”
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Optimization Analysis of Kitchen Cooking Environment for Air Conditioning Range Hood Based on Thermal Comfort and PM₁₀ Concentration by Shunyu Zhang, Hai Huang, Feng Ye, Fayin Wang, Liangguo Cheng, Yongqiang Tan, Zhihang Shen, Zhenlei Chen

“…Finally, the optimal structural parameter configuration of the air conditioning range hood was explored in depth by combining orthogonal experiments with Computational Fluid Dynamics (CFD) simulations. …”
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Optimizing dance motion reconstruction using a two-dimensional matrix approach with hybrid genetic and fuzzy logic differential evolution by Lin Wang, Yutong Liu, Yucong Geng, Mohammad Khishe

“…Abstract The development of dance movements using motion capture technology presents notable challenges, such as constraints related to body morphology, clothing interference, and the inherently nonlinear dynamics of human motion. Existing techniques generally struggle to accommodate intricate, nonlinear motions and encounter issues such as parameter sensitivity or prematurely becoming stuck in local solutions. …”
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Temporal and Modality Awareness-Based Lightweight Residual Network With Attention Mechanism for Human Activity Recognition Using a Lower-Limb Exoskeleton Robot by Chang-Sik Son, Won-Seok Kang

“…In addition, existing models frequently overlook the complementary nature of multimodal sensor signals, focusing primarily on temporal dynamics while underutilizing modality-specific information. …”
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