An Adaptive Control Strategy for a Virtual Synchronous Generator Based on Exponential Inertia and Nonlinear Damping by Huiguang Pian, Keqilao Meng, Hua Li, Yongjiang Liu, Zhi Li, Ligang Jiang

“…To address this issue, an adaptive virtual synchronous generator (VSG) control strategy is proposed, which dynamically adjusts virtual inertia and damping in response to real-time frequency variations. Virtual inertia is modulated by an exponential function according to the frequency variation rate, while damping is regulated via a hyperbolic tangent function, enabling minor support during small disturbances and robust compensation during severe events. …”
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CRIP1 inhibits cutaneous melanoma progression through TFAM-mediated mitochondrial biogenesis by Jianqiang Wu, Lixia Chen, Peijun Wen

“…Bioinformatic prediction of CRIP1 expression in melanoma and its association with clinical parameters and prognosis of patients. Real-time quantitative polymerase chain reaction (RT-qPCR) and Western blots (WB) were used to detect stable overexpression and knockdown of CRIP1 in melanoma cells. …”
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Performance Optimization of Synchronous Reluctance Motor using Adaptive MTPA Curve Fitting with Anti-Windup Current Control by Alex V, Rammohan A

“…The proposed method derives a mathematical model based on the motor torque equation, where the optimal d-axis and q-axis current components are expressed as a function of motor parameters, including inductances, rotor position, and torque demand. …”
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Knockdown of long non-coding RNA HOXD-AS1 inhibits gastric cancer cell growth via inactivating the JAK2/STAT3 pathway by Li Zheng, Jiangtao Chen, Zhongyong Zhou, Zhikuan He

“…The expression of HOXD-AS1 in gastric cancer cell lines was evaluated by quantitative real-time polymerase chain reaction. The association of HOXD-AS1 expression and clinical parameters was statistically analyzed by chi-square test. …”
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A Physics-Based Longitudinal Driver Model for Automated Vehicles by Mizanur Rahman, Md Rafiul Islam, Mashrur Chowdhury, Taufiquar Khan

“…Third, we present numerical analysis related to riding comfort and a dynamic minimum following gap function for each automated vehicle in a platoon while considering the safety for the automated platoon. …”
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A Novel Method for Solving Multiobjective Linear Programming Problems with Triangular Neutrosophic Numbers by Qing Wang, Yi Huang, Shiming Kong, Xinqiang Ma, Youyuan Liu, S. K. Das, S. A. Edalatpanah

“…So, we propose a method for solving NMOLP problem with the help of linear membership function. After utilizing membership function, the problem is converted into equivalent crisp LP (CrLP) problem and solved by any suitable method which is readily available. …”
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Pri-DDQN: learning adaptive traffic signal control strategy through a hybrid agent by Yanliu Zheng, Juan Luo, Han Gao, Yi Zhou, Keqin Li

“…In this paper, we propose a new single-intersection traffic signal control method (Pri-DDQN) based on reinforcement learning and model the traffic environment as a reinforcement learning environment, and the agent chooses the best action to schedule the traffic flow at the intersection based on the real-time traffic states. With the goal of minimizing the waiting time and queue length at intersections, we use double DQN to train the agent, incorporate traffic state and reward into the loss function, and update the target network parameters asynchronously, to improve the agent’s learning ability. …”
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TQVGModel: Tomato Quality Visual Grading and Instance Segmentation Deep Learning Model for Complex Scenarios by Peichao Cong, Kun Wang, Ji Liang, Yutao Xu, Tianheng Li, Bin Xue

“…Third, an Enhanced Sobel (E-Sobel) operator integrates boundary prediction with an edge loss function, improving edge localization precision for quality assessment. …”
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Transient stability improvement of a transmission system through the application of an artificial neural network-based high-voltage direct current system by Chibuike Peter Ohanu, Uche C Ogbuefi, Emenike Ejiogu

“…The conventional high-voltage direct current (HVDC) systems are based on a fixed proportional integral controller parameters to function efficiently, but the proposed ANN-based technique dynamically adjusts the thyristor firing angle in real-time to improve system stability. …”
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Experimental studies of load transformation of the support contour of a load-lifting crane by Potakhov D.A., Vatulin J.S.

“…As part of the study of the hanging hydraulic cylinder, the parameters of the distribution of the stress-strain state of the cylinder (housing) of the hydraulic cylinder as a function of time were determined.…”
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Ultra Short-Term Charging Load Forecasting Based on Improved Data Decomposition and Hybrid Neural Network by Shaoyang Yin, Zhaohui Chen, Wanyuan Liu, Zhiwen Su

“…First, an OOA incorporating an opposition-based learning strategy was introduced to optimize the key parameters of the VMD. The permutation entropy is utilized as the fitness function to iteratively obtain the optimal combination of fitness parameters.Secondly, VMD with the optimal parameter combination is used to decompose the original charging load sequence into multiple relatively stable components, reducing the non-stationarity and complexity of the sequence. …”
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Efficient multi-UAV path planning in dynamic and complex environments using hybrid polar lights optimization by Ziyin Xu, Zhilin Wang, Rui Liu, Chenliang Huang, Yuxiang Shi, Mingjing Wang, Huiling Chen

“…The dynamic adjustment mechanism allows for real-time tuning of parameters, enhancing global search capabilities and minimizing the risk of local optima. …”
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Optimizing RetinaNet anchors using differential evolution for improved object detection by Asaad Mohammed, Hosny M. Ibrahim, Nagwa M. Omar

“…Its success is largely due to the groundbreaking focal loss function, which adeptly addresses the issue of class imbalance prevalent in object detection tasks. …”
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Research on the Optimization of the Electrode Structure and Signal Processing Method of the Field Mill Type Electric Field Sensor by Wei Zhao, Zhizhong Li, Haitao Zhang

“…The designed system is capable of measuring the atmospheric electric field intensity in real time, providing necessary data support for lightning monitoring and early warning.…”
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Mathematical Modeling of COVID-19 Disease Dynamics With Contact Tracing: A Case Study in Ethiopia by Shimelis Bekele Zerefe, Tigabu Kasie Ayele, Surafel Luleseged Tilahun

“…Based on the data reported, we estimated the values of the parameters using the least squares method together with the fmin function in the MATLAB optimization toolbox. …”
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Technology of estimating nitrogen dioxide and carbon dioxide emissions by large industrial centers of Western Siberia by A.A. Lagutin, N.V. Volkov, E.Y. Mordvin, V.V. Sinitsin

“…The main procedure for data analysis is the approximation of gas content distributions along the trajectory of the OCO-2 satellite by the vector function of the Gaussian distribution. Approximation parameters (full width at half maximum and amplitude), as well as data about direction and speed of wind (obtained from the ERA5 reanalysis) are used to quantify CO2 emissions. …”
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Grid-connected PV inverter system control optimization using Grey Wolf optimized PID controller by Monika Gupta, P. M. Tiwari, R. K. Viral, Ashish Shrivastava, Basem Abu Zneid, Iryna Hunko

“…The GWO algorithm iteratively refines PID parameters to achieve real-time adaptation to environmental fluctuations. …”
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Extraction of Optimal Measurements for Drowsy Driving Detection considering Driver Fingerprinting Differences by Yifan Sun, Chaozhong Wu, Hui Zhang, Yijun Zhang, Shaopeng Li, Hongxia Feng

“…In the proposed model, we firstly applied the Wilcoxon test to analyze differences between measurements of the awake state and drowsy state, and constructed the fitness function reflecting the relationship between the calculation parameters and measurement’s drowsiness-detection performance. …”
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SEISMIC BELTS AND ZONES OF THE EARTH: FORMALIZATION OF NOTIONS, POSITIONS IN THE LITHOSPHERE, AND STRUCTURAL CONTROL by Semen I. Sherman, Olga G. Zlogodukhova

“…The research data in the present publication confirm strong arguments in favor of transition to quantitative classification of SZs, identification of faults which are active in real time and function as concentrators of earthquake foci, and evaluation of parameters of fault zones which determine space­and­time locations of earthquake foci.This publication demonstrates the need to develop tectonophysical models of SPs and apply such models to gain a more comprehensive understanding of interactions/correlations between seismic zones in cases of catastrophic earthquakes and/or closely spaced SBs with similar states of stresses.…”
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Mass-Stiffness Combined Perturbation Method for Mode Shape Monitoring of Bridge Structures by Liye Zhang, Ye Xia, Jose A. Lozano-Galant, Limin Sun

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