Mixed Time/Event-Triggered Model Predictive Tracking Control for Networked Mobile Robots by Huixin Liu, Yonghua Lai, Hongsong Lian, Guobin Wang, Dongsheng Zheng

“…The research results are expected to save network resources while ensuring the performance of networked mobile robots and provide strong support for practical applications of networked mobile robots.…”
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On the Potential of a New Generation of Magnetometers for MEG: A Beamformer Simulation Study. by Elena Boto, Richard Bowtell, Peter Krüger, T Mark Fromhold, Peter G Morris, Sofie S Meyer, Gareth R Barnes, Matthew J Brookes

“…However in practice, this will require both improved hardware and modelling algorithms.…”
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Model Optimization for High-Yield Biocrude in Co-Hydrothermal Liquefaction of Municipal Sludge by Botian HAO, Yunfei DIAO, Ya WEI, Donghai XU

“…Prolonged residence time results in only marginal yield improvement, while excessive residence time under high-temperature conditions tends to induce side reactions. …”
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MMG-Based Motion Segmentation and Recognition of Upper Limb Rehabilitation Using the YOLOv5s-SE by Gangsheng Cao, Shen Jia, Qing Wu, Chunming Xia

“…In segmentation tasks, the base YOLOv5s model achieved 97.9% precision and 98.0% recall, while the improved YOLOv5s-SE model increased precision to 98.7% (+0.8%) and recall to 98.3% (+0.3%). …”
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Cluster‐Based Analysis of Lipid Profiles and Inflammation in Association With Cardiovascular Disease Incidence and Mortality: A 17.5‐Year Longitudinal Study by A‐Ra Cho, Seok‐Jae Heo, Taehwa Han, Yu‐Jin Kwon

“…Cluster 3 (high HDL‐C) showed a lower CVD risk, while cluster 4 (younger age, favorable lipid profile) had the lowest risk across all outcomes. …”
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Energy saving and low carbon oriented renovation framework for educational buildings with Tianjin University case study by Xinge Du, Xiang Liu, Feng Gao, Zhihua Zhou

“…This study proposes a data-driven workflow that combines a genetic algorithm with a Bayesian optimization-based XGBoost model to optimize the retrofit design of educational buildings. …”
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Simultaneous OPEX and carbon footprint reduction with hydrogen enhancement in autothermal reforming: a machine learning–based surrogate modeling and optimization framework by Sahar Shahriari, Davood Iranshahi

“…In this study, a Surrogate-assisted Multi-Objective Reinforcement Learning (S-MORL) framework is developed to achieve the simultaneous minimization of OPEX and CO₂ emissions while enhancing hydrogen production within the ATR process. …”
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CR-MDC: A Method of Constrained Route for Avoiding Congestion of the Satellite Sensor Network for Agriculture by Yuanyuan Zhang, Jing Wu, Hao Jiang, Jianguo Zhou, Xiuhong Li, Laitao Zhu, Zijing Cheng

“…The performance of the constrained route algorithm is compared with the Dijkstra-based routing protocols proposed in existing literature. …”
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Distributed Robust Low-Carbon Economic Dispatch of Power Systems Considering Extreme Scenarios by HU Heng, QIN Jianru, LI Haibo, LIU Jiefeng

“…[Methods] To address this， this paper first constructs RE generation scenarios using Latin hypercube sampling （LHS） and modified k-means clustering， verifying their reserve feasibility， while transforming reserve-infeasible scenarios into extreme scenario sets. …”
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Time–frequency ensemble network for wind turbine mechanical fault diagnosis by Haiyu Guo, Xingzheng Guo, Xiaoguang Zhang, Fanfan Lu, Chuang Liang

“…Wind turbines typically operate under variable speed conditions, so the collected vibration signals are affected by non-linearity and information mixing, while also containing a large amount of noise interference. …”
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Parametric-modeling-based multi-objective thermoelastic optimization of rudder structures by Shi Guanghui, Bao Yuhao, Wu Wenhua, Guo Guiqiang, Lin Ye, Zhang Xiaopeng, Tao Ran

“…These optimization problems are solved using a compromise programming algorithm. The proposed optimization method reduces the weight of the rudder structure by 21.2% while meeting the design indicators under service conditions. …”
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Research on global ship cargo capacity prediction based on multi-source heterogeneous data by Shuhang Chen, Zhihuan Wang, Zhihuan Wang, Tianye Lu, Jiayang Zhu, Chunchang Zhang, Chunchang Zhang, Xiangming Zeng, Xiangming Zeng, Jiayi Wang, Zandi Shang, Zandi Shang

“…Results demonstrate that the K-nearest neighbors (KNN) algorithm achieves 88% predictive accuracy on validation data—a 19-percentage-point improvement over conventional methods (69%). …”
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An Explainable Fuzzy Framework for Assessing Preeclampsia Classification by Matías Salinas, Daira Velandia, Leondry Mayeta-Revilla, Ayleen Bertini, Marvin Querales, Fabian Pardo, Rodrigo Salas

“…<b>Methods:</b> The model integrates fuzzy decision trees with a genetic algorithm to identify a compact and relevant set of rules, optimized for both accuracy and interpretability. …”
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Machine learning-driven design of wide-angle impedance matching structures for wide-angle scanning arrays by Sina Hasibi Taheri, Javad Mohammadpour, Ali Lalbakhsh, Slawomir Koziel, Stanislaw Szczepanski

“…Machine learning (ML) algorithms are integrated to evaluate WAIM characteristics, reducing calculation time and resources while enhancing adaptability to new structures with minimal designer intervention. …”
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Flood Detection and Susceptibility Mapping Using Sentinel-1 Time Series, Alternating Decision Trees, and Bag-ADTree Models by Ayub Mohammadi, Khalil Valizadeh Kamran, Sadra Karimzadeh, Himan Shahabi, Nadhir Al-Ansari

“…More findings illustrated that accuracy was obtained as 86.61 for bag-ADTree model, while it was 85.44 for ADTree method. Based on AUC, success and prediction rates were 0.736 and 0.786 for bag-ADTree algorithm, in order, while these proportions were 0.714 and 0.784 for ADTree. …”
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Optimal Autonomous Control for Distribution Transformer Area With High Photovoltaic Penetration Based on CSBO-LSTM by Yukai Wei, Chun He, Zhuo Chen, Yinyuan Guo, Zongyuan Li

“…The model takes maximizing PV power consumption as the core objective, while considering voltage stability regulation and minimum network loss, to construct a multi-objective optimization function. …”
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GS-ReLoc: A Gaussian-Splatting Relocalization Method for Robust and Accurate Mono Camera Pose Estimation by Karoly Fodor, Andras Rovid

“…For a query frame, the algorithm identifies the best-matching database entry using a kd-tree structure, providing an initial pose estimate informed by the augmented database. …”
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Efficient energy management using fuzzy logic control in a gym microgrid with stationary bikes, PV generation, and battery storage systems by Abdelfattah El Azzab, Abdelmounime El Magri, Ilyass El Myasse, Rachid Lajouad

“…The main objective of this work is to investigate the feasibility of powering gym loads using the DC bus through grid-tied inverters, while ensuring efficient energy management and user-specific operation. …”
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Instance Assignment Coverage Feature for Operation Control of SAT Solver by Zhihui Li, Shuwei Chen, Guanfeng Wu, Yang Xu

“…Although numerous studies from diverse perspectives have been conducted, there remains a need to develop efficient methods and algorithms to meet the requirements for enhancing the performance efficiency of SAT solving. …”
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Convergence of root ectomycorrhizal fungal communities across Pinaceae developmental stages in temperate forests in northeastern China by Dongxue Zhao, Yulian Wei, Ting Cao, Yiwei Yuan, Jiarui Yu, Zhen Bai, Haisheng Yuan

“…As Pinaceae matured, EMF alpha diversity notably increased, while their Bray-Curtis dissimilarity significantly decreased. …”
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