Electrostatic focusing in the improvement of spatial uniformity of pulse-dilation framing camera by ZHU Yunfei, BAI Yanli, ZHONG Si

“…To improve spatial resolution uniformity of pulse-dilation framing camera, the imaging system of the pulse-dilation framing camera is designed using electrostatic lens, based on the characteristic of small image surface drift and homogeneous equipotential surface of the electrostatic focusing, the relation between the distribution of electric field and imaging characteristics is built, then the spatial resolution and the non-uniformity degree in the region are respectively estimated and quantitatively described by using the spatial modulation transfer function and converting the numerical fluctuation of spatial resolution into the form of gradient change percentage. …”
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TD algorithm based on double-layer fuzzy partitioning by Xiang MU, Quan LIU, Qi-ming FU, Hong-kun SUN, Xin ZHOU

“…When dealing with the continuous space problems,the traditional Q-iteration algorithms based on lookup-table or function approximation converge slowly and are diff lt to get a continuous policy.To overcome the above weak-nesses,an on-policy TD algorithm named DFP-OPTD was proposed based on double-layer fuzzy partitioning and its convergence was proved.The first layer of fuzzy partitioning was applied for state space,the second layer of fuzzy parti-tioning was applied for action space,and Q-value functions were computed by the combination of the two layer fuzzy partitioning.Based on the Q-value function,the consequent parameters of fuzzy rules were updated by gradient descent method.Applying DFP-OPTD on two classical reinforcement learning problems,experimental results show that the algo-rithm not only can be used to get a continuous action policy,but also has a better convergence performance.…”
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The Method of Zero Tangential Strengths in the Problem of Charge Distribution over the Surfaces of Two Interacting Tori by Nikita Dmitriev, Vadim Sakharov, Alexey Tikhonov

“…The required density is found numerically by the method of successive approximations based on the fact that in the static case, the total tangential strength of the Coulomb forces is zero at each of the points on the surface of each of the tori. The corresponding functional is constructed, the problem of numerical minimization of which is solved by the gradient descent method.…”
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Variance Reduction Optimization Algorithm Based on Random Sampling by GUO Zhenhua, YAN Ruidong, QIU Zhiyong, ZHAO Yaqian, LI Rengang

“…However, SGD requires the stochastic gradient of a single sample to approximate the full gradient of all samples, introducing additional variance in each iteration. …”
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Investigations for vibration and friction torque behaviors of thrust ball bearing with self-driven textured guiding surface by Can Wu, Kai Yang, Jing Ni, Shuigen Lu, Lidan Yao, Xinglin Li

“…The results show that gradient groove texture has the one-way self-driving function of liquid droplets. …”
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A Phase Error Compensation Method for High-Rise Targets in High-Resolution SAR Images by JiaDong Deng, Wei Yang, HongCheng Zeng, YaMin Wang, Jiayi Guo, Wei Xiong, Min Liu, Jie Chen, Wei Liu

“…It uses image entropy as the optimization objective function, which is applicable to segmented images, effectively solving the problem of variation of phase error at different heights. …”
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Stable microbial community promotes aerobic methanotrophy in a large river-reservoir system by Qiong Tang, Zhe Li, Lunhui Lu, Yan Xiao, Xinghua Wu, Dianchang Wang

“…However, how hydrological gradients and trophic states jointly regulate methane-derived carbon dynamics and microbial community stability in river-reservoir systems, and the interplay between these two aspects, has not been adequately explored. …”
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Exploring Machine Learning Models for Vault Safety in ICL Implantation: A Comparative Analysis of Regression and Classification Models by Qing Zhang, Qi Li, Zhilong Yu, Ruibo Yang, Emmanuel Eric Pazo, Yue Huang, Hui Liu, Chen Zhang, Salissou Moutari, Shaozhen Zhao

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Analysis of Stress-Strain State of a Cylinder with Variable Elasticity Moduli Based on Three-Dimensional Equations of Elasticity Theory by J. J. Ismayilova

“…Homogeneous solutions to the boundary value problem were obtained for a linearly elastic functionally gradient hollow thin-walled cylinder. An analysis of these solutions made it possible to reveal the nature of the stress-strain state in the cylinder wall. …”
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Breaking Down Greek Nominal Stems: Theme and Nominalizer Exponents by Giorgos Markopoulos

“…On the other hand, stem endings like -<i>o</i>, -<i>a</i>, and -<i>i</i> cannot function as predictors of the morphosyntactic status of the noun, although they may convey information about its stress position. …”
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Impact of land management on herbaceous vegetation diversity and forage provision in the Great Green Wall in Burkina Faso by Issouf Zerbo, Sambo Ouédraogo, Daouda Savadogo, Aliou Guissé, Issaka J. Boussim

“…To recommend sustainable practices, this study therefore assessed the effect of three land management types on the diversity, functional structure and forage provision of the herbaceous vegetation in the Great Green Wall in Burkina Faso. …”
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Dual-robot formation transport in random environment and narrow restricted area via improved DDPG navigation by Liang Tang, Ronggeng Ma, Bowen Chen, Yisen Niu

“…Specifically, the paper first optimizes the reward function module in the DDPG network to incorporate a decision-swapping reward mechanism for training the formation's navigation capability. …”
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Enhanced path planning for robot navigation in Gaussian noise environments with YOLO v10 and depth deterministic strategies by Feng Xiao, Shiwei Chu, Xing Guo, Youhai Zhang, Rubing Huang

“…A reward function is designed to motivate the agent to learn. …”
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Enhanced DDPG algorithm for latency and energy-efficient task scheduling in MEC systems by Fei Zhou, Lihong Zhao, Xiaomei Ding, Shuqin Wang

“…Experimental results demonstrate that the nonlinear reward function achieves faster convergence and better system performance. …”
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Implementing Low Latency and High Energy Efficiency Task Scheduling in MEC Systems Using Improved DDPG Algorithm by Lihong Zhao, Xiaomei Ding, Shuqin Wang

“…It also proposed a reward function considering both latency and energy consumption, comparing the effects of linear and nonlinear reward functions on system performance. …”
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Correlation with viruses enhances network complexity and stability of co-occurrence prokaryotes across the oceans by Bo Wang, Yantao Liang, Kaiyue Lian, Chuyu Zhang, Meiaoxue Han, Min Wang, Hongbing Shao, Andrew McMinn, Hualong Wang

“…Thus, given such dynamic environmental gradients in the ocean, stable and persistent microbiome networks suggest that biotic associations with viruses play a critical role in maintaining the integrity and resilience of marine microbiomes and influencing the function of marine ecosystems.…”
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A New Finite-Difference Method for Nonlinear Absolute Value Equations by Peng Wang, Yujing Zhang, Detong Zhu

“…The algorithm avoids the computation of gradients and Hessian matrices of problems. The new finite-difference parameter correction technique is considered to ensure the monotonic descent of the objective function. …”
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Scalable machine learning framework for predicting critical links in urban networks by Nourhan Bachir, Chamseddine Zaki, Hassan Harb, Roland Billen

“…The framework integrates structural, functional, and newly proposed features, offering a comprehensive representation of road network dynamics. …”
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The Use of Machine Learning Algorithms for Water Quality Index Prediction in the Sai Gon River, Vietnam by Thuy Nguyen Thi Diem, Mai Nguyen Thi Huynh, Tra Tran Quang

“…The present study leverages the predictive performance of several ML algorithms, including extreme gradient boosting (XGB), the gradient boosting model (GBM), support vector regression (SVR), and the radial basic function (RBF), to predict the WQI at three monitoring sites on the Sai Gon River from 2015–2019. …”
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A proximal policy optimization based deep reinforcement learning framework for tracking control of a flexible robotic manipulator by Joshi Kumar V, Vinodh Kumar Elumalai

“…Moreover, the major limitation of the existing policy gradient based DRL techniques is that they are computationally expensive and suffer from scalability issues for complex higher order systems. …”
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