Numerical Simulation of Strength, Deformation, and Failure Characteristics of Rock with Fissure Hole Defect by Shaojie Chen, Zhiguo Xia, Fan Feng

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Machine learning framework for oxytetracycline removal using nanostructured cupric oxide supported on magnetic chitosan alginate biocomposite by Hassan Rasoulzadeh, Hossein Azarpira, Mojtaba Pourakbar, Amir Sheikhmohammadi, Alieh Rezagholizade-shirvan

“…We also employed the Particle Swarm Optimization (PSO) model to identify the optimal parameter values. …”
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Prediction of Air-Conditioning Outlet Temperature in Data Centers Based on Graph Neural Networks by Qilong Sha, Jing Yang, Ruping Shao, Yu Wang

“…CFD software is used to establish the server room model and set control objectives. The simulations reveal that, under the condition of ensuring normal operation and equipment safety in the data center, the supply air temperature of the CRAC (computer room air conditioner) system can be adjusted to provide more flexibility, thereby reducing energy consumption. …”
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Design and experiment of key components of a insertion vegetable grafting machine with six plants synchronous by Yongtao Yu, Yanjun Li, Fuxiang Xie, Jian Song, Yang Bai, Yu Fan

“…The rectangular hand claw is embedded with EVA flexible material (maximum clamping pressure of the clamping mechanism: rootstock 266.35 Pa and scion 158.92 Pa), to overcome the fragile seedling damage control problems; Optimization of rootstock dynamics modeling with the V-shaped gathering block opening angle of 90° to achieve adaptive positioning of heterogeneous stems; The dual cutting system of positive-cutting and rotary-cutting matches the different cutting requirements of rootstock and scion. …”
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GRU-based multi-scenario gait authentication for smartphones by Qi JIANG, Ru FENG, Ruijie ZHANG, Jinhua WANG, Ting CHEN, Fushan WEI

“…At present, most of the gait-based smartphone authentication researches focus on a single controlled scenario without considering the impact of multi-scenario changes on the authentication accuracy.The movement direction of the smartphone and the user changes in different scenarios, and the user’s gait data collected by the orientation-sensitive sensor will be biased accordingly.Therefore, it has become an urgent problem to provide a multi-scenario high-accuracy gait authentication method for smartphones.In addition, the selection of the model training algorithm determines the accuracy and efficiency of gait authentication.The current popular authentication model based on long short-term memory (LSTM) network can achieve high authentication accuracy, but it has many training parameters, large memory footprint, and the training efficiency needs to be improved.In order to solve the above problems a multi-scenario gait authentication scheme for smartphones based on Gate Recurrent Unit (GRU) was proposed.The gait signals were preliminarily denoised by wavelet transform, and the looped gait signals were segmented by an adaptive gait cycle segmentation algorithm.In order to meet the authentication requirements of multi-scenario, the coordinate system transformation method was used to perform direction-independent processing on the gait signals, so as to eliminate the influence of the orientation of the smartphone and the movement of the user on the authentication result.Besides, in order to achieve high-accuracy authentication and efficient model training, GRUs with different architectures and various optimization methods were used to train the gait model.The proposed scheme was experimentally analyzed on publicly available datasets PSR and ZJU-GaitAcc.Compared with the related schemes, the proposed scheme improves the authentication accuracy.Compared with the LSTM-based gait authentication model, the training efficiency of the proposed model is improved by about 20%.…”
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Data-Driven Customer Retention Strategies in E-Commerce: A Fuzzy Z-Number Approach by Siyin Hu, An Chen

“…This research proposes a new hybrid model for predicting and controlling customer churn in a more efficient way. …”
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Research advances and development trends of wire-based laser directed energy deposition additive manufacturing technology by YUAN Yucheng, SONG Jun, LUO Jiajie, LI Xiangru, SONG Bo, SHI Yusheng

“…Based on this， this paper provides a detailed introduction to the current research status of W-LDED technology from three aspects： process parameter optimization， deposition quality analysis， and microstructural composition control. …”
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基于模糊PID控制的CVT速比仿真研究 by 周萍, 聂晋, 孙跃东

“…Aiming at a certain motorcycle type equipped with the metal-belt continuously variable transmission（CVT）,torque model and fuel consumption model of its engine are established which provides target curves concerning to rotation speed adjustment features.Then after the aimed speed ratios of CVT was acquired,the driveline model is simplified in a mass-concentration method.Based on the fuzzy-PID principles,a fuzzy-PID control algorithm to optimize the performance is put forward where speed ratio change rate of CVT is regarded as the control object.In the platform of simulink,simulation is done for the auto model with CVT containing this algorithm in variable cases of starting-up,accelerating and braking.The results could demonstrate that the real ratio can follow the target ratio exactly as expected.…”
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Short-Term Prediction Method for Gas Concentration in Poultry Houses Under Different Feeding Patterns by Yidan Xu, Guanghui Teng, Zhenyu Zhou

“…Indoor air quality can be improved by predicting the change in CO₂ concentration and proposing an optimal control strategy. Combining the advantages of seasonal-trend decomposition using loess (STL), Granger causality (GC), long short-term memory (LSTM), and extreme gradient boosting (XGBoost), an ensemble method called the STL-GC-LSTM-XGBoost model is proposed. …”
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Performance Evaluation on Transmission Tower-Line System with Passive Friction Dampers Subjected to Wind Excitations by Bo Chen, Xiang Xiao, Peng-yun Li, Wan-li Zhong

“…A real transmission tower-line system is taken as an example to examine the feasibility and reliability of the proposed control approach. An extensive parameter study is carried out to find the optimal parameters of friction damper and to assess the effects of slipping force axial stiffness and hysteresis loop on control performance. …”
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Hyperspectral imaging combined with residual-attention-net for spectral-spatial feature fusion in liver disease diagnosis by Yunze Li, Jingjing Wang, Miaoqing Zhao, Jinlin Deng, Chongxuan Tian, Qize Lv, Yifei Liu, Kun Ru, Wei Li

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Adaptive multi-agent reinforcement learning for dynamic pricing and distributed energy management in virtual power plant networks by Jian-Dong Yao, Wen-Bin Hao, Zhi-Gao Meng, Bo Xie, Jian-Hua Chen, Jia-Qi Wei

“…Extensive simulations across diverse scenarios demonstrate that our approach consistently outperforms baseline methods, including Stackelberg game models and model predictive control, achieving an 18.73% reduction in costs and a 22.46% increase in VPP profits. …”
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Multi-Phase Trajectory Planning for Wind Energy Harvesting in Air-Launched UAV Swarm Rendezvous and Formation Flight by Xiangsheng Wang, Tielin Ma, Ligang Zhang, Nanxuan Qiao, Pu Xue, Jingcheng Fu

“…The trajectory planning method is formalized as an optimal control problem (OCP) that ensures spatial–temporal coordination, inter-vehicle collision avoidance, and incorporates a 3-degree of freedom kinematic model of UAVs, extending wind energy harvesting trajectory optimization from an individual UAV to swarm-level applications. …”
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Early Warning of Financial Risk Based on K-Means Clustering Algorithm by Zhangyao Zhu, Na Liu

“…On the basis of summarizing and analyzing previous research works, this paper expounded the current research status and significance of financial risk early-warning, elaborated the development background, current status and future challenges of the K-means clustering algorithm, introduced the related works of similarity measure and item clustering, proposed a financial risk indicator system based on the K-means clustering algorithm, performed indicator selection and data processing, constructed a financial risk early-warning model based on the K-means clustering algorithm, conducted the classification of financial risk types and optimization of financial risk control, and finally carried out an empirical experiments and its result analysis. …”
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Research on the Digital Level Calculation and Construction Path of Fishery Under the Background of “Blue Granary” Strategy by LIU Dan, CHEN Qiuying, MA Naiyi

“…Additionally, using the DEA-BCC model further evaluated the impact of innovation and promotion efficiency of fisheries science and technology on the development momentum of digitalization level in fisheries. …”
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Discussion on key technologies in micro-CT experiments and their applications in oil and gas exploration by Xiangsheng HUANG, Chengfei LUO, Qun ZHANG, Jinding CHEN, Yaoyuan ZHANG, Xiaowen LIU

“…However, unified standards for key control parameters and data processing methods have yet to be established, significantly affecting data accuracy and comparability. …”
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Artificial neural network based enhanced thermal energy storage system for renewable energy using nano-particles by Saima Zainab, Meraj Ali Khan, Sharmeen, Hassan Waqas

“…We have integrated V-shaped fins and incorporated nanoparticles (Al2O3 and Cu) into PCM to improve the thermal conductivity and storage capacity of LHSS. Enthalpy-porosity model is employed to represent the melting process of PCM using ANSYS Fluent. …”
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Wind Tunnel Experimental Study on the Flight Parameters of a Bio-Inspired Bat-like Flapping-Wing Robot by Bosong Duan, Junlei Liu, Shuai Wang, Zhaoyang Chen, Bingfeng Ju

“…This result not only determines the optimal flight parameter combination under the model, but also reveals the key influence of the flexible deformation of the wing membrane and the flapping frequency on the flight performance, which provides a key experimental basis for the structural optimization and control strategy design of the bat-like flapping-wing robot.…”
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Three-dimensional printing in modern orthopedic trauma surgery: a comprehensive analysis of technical evolution and clinical translation by Ting Long, Linyun Tan, Linyun Tan, Xiaoyan Liu

“…While challenges in manufacturing protocols, quality control standards, and regulatory frameworks persist, ongoing innovations in materials science, digital workflow optimization, and clinical validation continue to expand the applications. …”
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Self-Adjusting Look-Ahead Distance of Precision Path Tracking for High-Clearance Sprayers in Field Navigation by Xu Wang, Bo Zhang, Xintong Du, Huailin Chen, Tianwen Zhu, Chundu Wu

“…By developing a kinematic model of the pure pursuit algorithm for agricultural machinery, an evaluation function is then employed to estimate the pose of the machinery and identify the corresponding optimal look-ahead distance within the designated area. …”
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