Polydopamine Chelate Modified Separators for Lithium Metal Batteries with High‐Rate Capability and Ultra‐Long Cycling Life by Shixiang Liu, Qiang Liu, Pu Cheng, Xingkai Jia, Yinzhu Jiang, Xuan Zhang

“…Creating multifunctional separators offers an effective and cost‐efficient solution for addressing fast charging and safety challenges in LMBs. …”
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Active-learning-driven error control for data-driven state of charge estimation across the lithium battery lifecycle by Jinwei Xue, Xuzhi Du, Lei Zhao, Zhigang Yang, Chao Xia, Yuan Ma, Muhammad Jahidul Hoque, Wuchen Fu, Xiao Yan, Nenad Miljkovic

“…This work establishes a path toward uncertainty-informed, lifecycle-resilient, and data-efficient SOC estimation, marking a significant advancement in battery management systems for real-world EV applications.…”
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Progress and prospect of surface self-cleaning technology of machine vision system in underground mining by Shengli YANG, Yongsheng CHEN, Jiachen WANG, Lianghui LI, Fengqi LIU, Shixiong SONG, Dingheng HUI

“…It is pointed out that the direct contact self-cleaning technology is simple and efficient, which will damage the lens membrane substrate, and the indirect contact self-cleaning technology has no damage to the base, and the cleaning efficiency is slow. …”
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In-situ pyrolysis mining theory and technical conception of controllable and spontaneous combustion of tar-rich coal by Jun DENG, Junhui LU, Shuangming WANG, Kai WANG, Qiang SUN, Caiping WANG, Qingmin SHI, Jishi GENG, Jinrui WANG, Chang SU, Gaoyang QU

“…On this basis, the in-situ pyrolysis mining theory and technology system of controllable and spontaneous combustion of tar-rich coal was constructed, the difficulties and key points of future research were clarified, and the technical path and research direction of high-efficiency, low-carbon and safe development engineering, industrialization and scale of tar-rich coal in China were put forward.…”
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Application of virtual reality technology based on artificial intelligence in 3D animated film storyboard by Zhou Hong, Xiaoting Xu, Xiaoyu Liu

“…When animation was presented, the supervised learning method was used to establish machine learning models such as neural networks with camera path and corresponding scene information as input and output to realize automatic prediction of camera path. …”
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Research on the evolution and evaluation of Chinese sports industry policies based on intelligent analysis. by Zhaoyang Pan, Liang Ma

“…With the rapid growth of people's requirements for sport and health, it is urgent to re-evaluate the past development path and formulate new directions so as to continuously improve and optimize the system. …”
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Evaluating the operational and financial performance of Community-Based visiting nursing center for elderly with the balanced scorecard model by Ji Young Lim, Seong Kwang Kim

“…Financial performance was primarily driven by visit frequency (β = 0.977, p <.001). The final path model demonstrated acceptable model fit, supporting the interconnected nature of operational efficiency and service quality. …”
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DynaFusion-SLAM: Multi-Sensor Fusion and Dynamic Optimization of Autonomous Navigation Algorithms for Pasture-Pushing Robot by Zhiwei Liu, Jiandong Fang, Yudong Zhao

“…Through laser-vision inertial guidance multi-sensor data fusion, the system achieves high-precision mapping and robust path planning in complex scenes. First, comparing the mainstream laser SLAM algorithms (Hector/Gmapping/Cartographer) through simulation experiments, Cartographer is found to have a significant memory efficiency advantage in large-scale scenarios and is thus chosen as the front-end odometer. …”
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A Novel Reconfigurable Gate-Biasing Technique for Extending Dynamic Range in CMOS RF-DC Rectifiers Targeting RFEH Applications by Yi Joe Low, Yi Chen Lee, Wen Xun Lian, Harikrishnan Ramiah

“…Through its reconfigurable mode, the circuit seamlessly transitions between a low-power path and high-power path to ensure optimal performance across a wide PDR. …”
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Presenting a Multi-Start Hybrid Heuristic for Solving the Problem of Two-Echelon Location-Routing Problem with Simultaneous Pickup and Delivery (2E-LRPSPD) by Houming Fan, Jiaxin Wu, Xin Li, Xiaodan Jiang

“…In this formulation, pickup and delivery demands can be addressed using the same vehicle in each echelon of the network to reduce costs and increase logistics efficiency. We solve such NP-hard problem by developing a multistart hybrid heuristic with path relinking (MHH-PR) which is composed of local search and a variable neighbourhood descent algorithm. …”
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An Analytical Solution by HAM for Nonlinear Simulation of Deepwater SCR Installation by Yi Wang, Ji-jun Gu, Chen An, Meng-lan Duan, Ning He

“…Based on this analytical solution, a program within the framework of MATLAB was developed to predict the two-dimensional riser behavior during installation, and a sensitivity analysis for different values of the control variables was carried out. Engineers may efficiently optimize the installation path by the application of this technique.…”
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Research on Trajectory Tracking Algorithm of Agricultural Machinery Based on Model Predictive Control by LIU Lin, ZHANG Huaqiang, QIN Changli, CHEN Yu, SU Qinghua

“… In order to overcome the problem of low accuracy and stability when pilotless agricultural machinery performs path tracking, this paper proposed a trajectory tracking method based on model predictive control (MPC).Firstly, the kinematic model of agricultural machinery was established, and the state quantity of agricultural machinery was estimated by particle filter to improve the positioning accuracy of agricultural machinery.Secondly, the gradient projection method was introduced in the design of controller.Compared with the traditional active set method, the new method reduced the number of iterative steps and has a faster convergence speed, which can improve the computational efficiency of agricultural machinery tracking control.Finally, a path tracking experiment was carried out on the ecological farm in Zibo, Shandong Province. …”
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Large-Scale Fading and Time Dispersion Parameters of UWB Channel in Underground Mines by Abdellah Chehri, Paul Fortier, Pierre Martin Tardif

“…The distance dependency of path loss and shadowing fading statistics is also investigated. …”
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Intelligent Robot Trajectory Tracking Control Combining Mamdani Theory and Q-Learning Algorithm by Qiong Wu, Hua Chen, Baolong Liu

“…The improved Q-learning algorithm reduced the number of steps in path planning and improved path fluency and efficiency while reducing the control time from 789 ms to 340 ms and improving the fitting accuracy to more than 96%. …”
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Communicating at a record 14.5 bits per received photon through a photon-starved channel by Sai Kanth Dacha, René-Jean Essiambre, Alexei Ashikhimin, Andrea Blanco-Redondo, Frank R. Kschischang, Konrad Banaszek, Yuanhang Zhang

“…Exploration of the Universe requires communication with Earth, either on a direct path or through a cascade of proximate celestial bodies. …”
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THE MODIFICATION OF THE RRT ALGORITHM FOR THE OPTIMAL TRAJECTORY DETERMINING OF THE MOTION VEHICLE WITH THE OBSTACLES AVOIDANCE by I. Z. Akhmetzyanov, M. A. Ionov, V. S. Karabcev

“…The problem of planning the motion path of an unmanned vehicle is presented in the article. …”
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Examination of the perceived agility and balance during a reactive agility task. by Leia Stirling, Chika Eke, Stephen M Cain

“…The fast performing athletes did not have a higher body speed, but performed the task with a more efficient technique, using foot placement to enable heading changes, and thus may have had a more efficient path. …”
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Performance Evaluation of Concurrent Multipath Video Streaming in Multihomed Mobile Networks by James Nightingale, Qi Wang, Christos Grecos

“…Existing schemes that make use of the aggregated bandwidth of multiple paths can overcome bandwidth limitations on a single path but suffer an efficiency penalty caused by retransmission of lost packets in reliable transport schemes or path switching overheads in unreliable transport schemes. …”
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Optimal feature‐algorithm combination research for EEG fatigue driving detection based on functional brain network by Yi Zhou, ChangQing Zeng, ZhenDong Mu

“…The results show that the feature combination of node degree, local efficiency, and characteristic path length achieves the best classification accuracy of 92.92% in the logistic regression algorithm.…”
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Process Optimization for Complex Product Assembly Workshops with AGV Integration via Discrete Event Simulation by Hailong Song, Shengluo Yang, Shuoxin Yin, Zhigang Xu

“…For complex assembly workshops, optimizing AGV scheduling is critical to enhancing production efficiency and resource utilization. Traditional scheduling methods often rely on fixed priority rules and basic path planning algorithms, which are insufficient to accommodate the dynamic changes in resource availability and task demands. …”
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