Federated deep reinforcement learning-based urban traffic signal optimal control by Mi Li, Xiaolong Pan, Chuhui Liu, Zirui Li

“…By reasonably designing the state, action and reward functions and determining the optimal values of several key parameters in the federated collaboration mechanism, the RL model could ensure high learning efficiency and fast convergence in the face of the gradual increase of road network size and the exponential increase of state and action space with the number of intersections. …”
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Acute effects of commercial group exercise classes on arterial stiffness and cardiovagal modulation in healthy young and middle-aged adults: A crossover randomized trial. by Xavier Melo, Adma Lopes, Raquel Coelho, Bruno Simão, Isabel Oliveira, João L Marôco, Sérgio Laranjo, Bo Fernhall, Helena Santa-Clara

“…<h4>Background</h4>Arterial stiffness and cardiac autonomic function are crucial indicators of cardiovascular health. …”
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Stress strain state of double-layered ferrocement shells under the fire condition by A. V. Zhurtov, T. A. Khezhev, G. N. Khadzhishalapov, A. A. Kardanov, M. A. Shogentsukov

“…The physically nonlinear problem reduces to the sequential solution of elastic problems for a structure whose physicomechanical parameters are functions of the x, y, z coordinates. …”
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Removal of anthracene from vehicle-wash wastewater through adsorption using eucalyptus wood waste-derived biochar by Muhammad Ilyas, Yuxuan Liao, Jiajun Xu, Siyu Wu, Wanying Liao, Xuelin Zhao

“…The experiment's findings showed that the Langmuir isotherm model provided the most accurate fit to the data. Also, error function analysis was performed. The exothermic and spontaneous nature of the adsorption process is evident based on the values of thermodynamic parameters, including enthalpy (ΔH°), Gibbs free energy (ΔG°), and entropy (ΔS°). …”
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A Lightweight Model for Small-Target Pig Eye Detection in Automated Estrus Recognition by Min Zhao, Yongpeng Duan, Tian Gao, Xue Gao, Guangying Hu, Riliang Cao, Zhenyu Liu

“…Additionally, the Adaptive Threshold Focal Loss (ATFL) function increases the model’s sensitivity to hard-to-classify samples, enabling accurate estrus stage classification. …”
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A novel hybrid nonlinear control of four switch buck-boost converter feeding constant power load in fuel cell-based DC microgrid by Hafiz Mian Muhammad Adil, Hassan Abbas Khan

“…Furthermore, the real-time viability of the proposed controller is confirmed through controller hardware-in-the-loop (C-HIL) tests using the Texas Instruments TMS320F28379D Delfino Launchpad.…”
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Evaluation of H2O2, H2, and bubble temperature in the sonolysis of water and aqueous t-butanol solution under Ar: Effects of solution temperatures and inorganic additives of NaCl a... by Yuki Nakata, Yoshiteru Mizukoshi, Kenji Okitsu

“…In this study, the yields of H2O2 and H2 formed under Ar were evaluated as a function of the concentration of NaCl or KI. When these yields were analyzed by using a normalization technique, it was confirmed that the yields of H2 were more clearly related to Ar solubility than those of H2O2, suggesting that H2 is a more real probe to understand the chemical effects of cavitation bubbles in water. …”
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Demonstration of a Low-Complexity Indoor Visible Light Positioning System Using an Enhanced TDOA Scheme by Pengfei Du, Sheng Zhang, Chen Chen, Arokiaswami Alphones, Wen-De Zhong

“…The proposed TDOA scheme offers two advantages: 1) the use of virtual local oscillator to replace the real local oscillator for cross correlation at the receiver side so as to reduce the hardware complexity; 2) the application of cubic spline interpolation on the correlation function to reduce the rigorous requirement on the sampling rate and to enhance the time-resolution of cross correlation. …”
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Catchment Coevolution and the Geomorphic Origins of Variable Source Area Hydrology by David G. Litwin, Gregory E. Tucker, Katherine R. Barnhart, Ciaran J. Harman

“…While the model generally produces fluvial topography visually similar to simpler landscape evolution models, certain parameter combinations produce wide valley bottom wetlands and non‐dendritic, trellis‐like drainage networks, which may reflect real conditions in some landscapes where aquifer gradients become decoupled from topography. …”
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GES-YOLO: A Light-Weight and Efficient Method for Conveyor Belt Deviation Detection in Mining Environments by Hongwei Wang, Ziming Kou, Yandong Wang

“…Specifically, to improve real-time detection capabilities, we introduce the Groupwise Separable Convolution (GSConv) module. …”
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Multi-objective particle swarm algorithm based on angular segmentation archive and dynamic update tactics by Yi Luo, Yanmin Liu, Jianjie Chen, Jie Yang, Jiang Yu

“…To explore the solution space more efficiently, this paper designs a dynamic flight parameter adjustment technique. This technique balances exploration and exploitation by adjusting the optimization algorithm parameters in real time. …”
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Coal wall deformation monitoring and concentrated load inversion technology based on intelligent support devices by YU Xiang, WANG Guofa, WANG Jiachen, LI Lianghui, WU Haoyang, WANG Yubing

“…To address the issue of low precision, limited range, and poor real-time performance in traditional coal wall deformation monitoring technologies, an intelligent support device based on Fiber Bragg Grating (FBG) was developed. …”
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Introducing novel arc cosine- $$\Psi$$ class of distribution with theory and data evaluation related to coronavirus by Aijaz Ahmad, Aafaq A. Rather, Ohud A. Alqasem, M. E. Bakr, Getachew Tekle Mekiso, Oluwafemi Samson Balogun, Eslam Hussam, Ahmed M. Gemeay

“…Key mathematical properties of the distribution are thoroughly investigated, including moments, extremum behavior of the PDF and HRF, incomplete moments, quantile function, and entropies. Parameter estimation is carried out using various methods, and their performance is assessed through comprehensive numerical studies. …”
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Myopia and age-related macular degeneration: structural and anatomical changes of the eye by I. B. Alekseev, Ju. A. Nam

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Design and Implementation of Remote Lab PID Controller Experiment Based on IoT by Mohammed Eishorafa, Cüneyt Bayılmış, İhsan Pehlivan, Emin Güney

“…Additionally, the Blynk platform was integrated into the experiment setup, allowing for real-time visualization of the system's response, control of PID parameters, and the ability to view the video stream via platforms like Skype. …”
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Molecular orientation behavior of isotactic polypropylene under uniaxial stretching by rheo-Raman spectroscopy by T. Kida, Y. Hiejima, K.-H. Nitta

“…The real-time changes of orientation parameters and orientation distribution functions are determined for the molecular chain axis of iPP during uniaxial stretching. …”
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Data transmission with Simulink on 6-DoF platform on CAN BUS by V. G. Mikhailov

“…It is established that the Real-Time mode of modeling is provided in the range of parameters of quantization (chc=1/350–1/1000). …”
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Decentralized queue control with delay shifting in edge-IoT using reinforcement learning by Viacheslav Kovtun

“…Analytical expressions for key QoS indicators (delay, variability, loss, energy consumption) as functions of the shift parameter are derived, and a multi-factor reward function is constructed. …”
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The New Ristić-Balakrishnan-Heavy-Tailed-Type II Topp-Leone-G Family of Distributions with Applications by Gayan Warahena-Liyanage, Broderick Oluyede, Thatayaone Moakofi

“…The research explores key statistical properties, including hazard rate function, quantile function, moments, stochastic ordering, and order statistics. …”
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MELGYM: A dynamic control interface for MELCOR simulations by Antonio Manjavacas, Juan Gómez-Romero, Damien Ernst, Manuel A. Vázquez-Barroso, Francisco Martín-Fuertes

“…MELGYM enables the training of reinforcement learning agents on MELCOR simulations, introducing real-time interaction and enabling the definition of reward functions based on simulation outcomes.…”
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