Stochastic energy management of DC photovoltaic microgrids using Markov decision process by Mohamed Aatabe, Rachid Latif, Mohamed I. Mosaad, Shimaa A. Hussien

“…This approach optimizes the real-time balance between power generation, load consumption, and energy storage, even under unpredictable load variations. The simulation results in realistic scenarios demonstrate the effectiveness of the proposed method in stabilizing the microgrid, reducing oscillations, and managing battery charge and discharge cycles. …”
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New Label-Free DNA Nanosensor Based on Top-Gated Metal–Ferroelectric–Metal Graphene Nanoribbon on Insulator Field-Effect Transistor: A Quantum Simulation Study by Khalil Tamersit, Abdellah Kouzou, José Rodriguez, Mohamed Abdelrahem

“…It has been observed that the feature of ferroelectric-induced gate voltage amplification using the integrated MFM structure can significantly enhance the biosensor’s sensitivity to DNA molecules, whether in terms of threshold voltage shift or drain current variation. …”
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High-Fidelity 3D Gaussian Splatting for Exposure-Bracketing Space Target Reconstruction: OBB-Guided Regional Densification with Sobel Edge Regularization by Yijin Jiang, Xiaoyuan Ren, Huanyu Yin, Libing Jiang, Canyu Wang, Zhuang Wang

“…Unlike existing methods, we explicitly address these challenges by integrating exposure-aware adaptive refinement and edge-preserving regularization into the 3DGS pipeline. …”
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Fractional-Order LC Three-Phase Inverter Using Fractional-Order Virtual Synchronous Generator Control and Adaptive Rotational Inertia Optimization by Junhua Xu, Chunwei Wang, Yue Lan, Bin Liu, Yingheng Li, Yongzeng Xie

“…Observations show that increasing the fractional-order of the rotor leads to a higher transient frequency variation rate. To address this, an adaptive rotational inertia control scheme is integrated into the FOVSG structure (ADJ-FOVSG), enabling real-time adjustment of inertia to suppress transient frequency fluctuations. …”
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Numerical Simulation on an Ultra-Large Seven-Ring Internal Support System Considering the Effects of Soil–Structure Interaction and Temperature by Hexiang Hu, Yu Tian, Neimeng Zheng, Xiuli Du, Haishan Guo, Zhonghua Xu

“…This work provides a reliable method for analyzing ultra-large deep foundation pits.…”
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Large-scale fate tendency of lufenuron during cabbage cultivation: new insights into dietary risk and models comparison by Ziling Fan, Fengjiao Liu, Xin Ren, Youpu Cheng, Manni Wu, Hongxia Zhang, Lilin Zhao, Zenglong Chen

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Design and Research of Large-Scale Curvature Adjustment Optical Mirror by Kailun Zhao, Liuxing Song, Dewei Sun, Qiaolin Huang, Rongguang Guo, Guoliang Tian, Jinping He

“…This study introduces an optimization design method for large-scale curvature-adjustable optical mirrors, innovatively integrating parametric modeling with the optimized layout of actuators, targeting the achievement of extensive curvature adjustability and high-precision surface correction for segmented mirrors. …”
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Improved Artificial Bee Colony Optimization Underwater Localization Algorithm by Logistic Chaos Mapping and Differential Evolution by Jiaxing CHEN, Yang LIU, Xiaoqian LIU, Zhihua LIU

“…Objective Localization algorithms for underwater acoustic sensor networks typically depend on distance estimation methods, such as point-to-point distance estimation or angle estimation, to achieve node localization between nodes. …”
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Developing a novel approach for passive damped LCL filter and controller parameter design using PSO algorithm in VSC-based islanded microgrids by Yared Bekele Beyene, Getachew Biru Worku, Lina Bertling Tjernberg

“…Unlike conventional offline methods, this study employs a simulation-based online optimization framework, integrating PSO within SIMULINK environment for dynamic, iterative adjustments, enhancing adaptability and efficiency. …”
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Automated Pneumothorax Segmentation with a Spatial Prior Contrast Adapter by Yiming Jia, Essam A. Rashed

“…We validate our method by experimenting on the dataset CANDID-PTX, a benchmark dataset representing 19,237 chest radiographs. …”
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A Spatiotemporal Attention-Guided Graph Neural Network for Precise Hyperspectral Estimation of Corn Nitrogen Content by Feiyu Lu, Boming Zhang, Yifei Hou, Xiao Xiong, Chaoran Dong, Wenbo Lu, Liangxue Li, Chunli Lv

“…A hyperspectral maize nitrogen content prediction model is proposed, integrating a dynamic spectral–spatiotemporal attention mechanism with a graph neural network, with the aim of enhancing the accuracy and stability of nitrogen estimation. …”
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Methodology for Human–Robot Collaborative Assembly Based on Human Skill Imitation and Learning by Yixuan Zhou, Naisheng Tang, Ziyi Li, Hanlei Sun

“…This method adaptively models the topological relationships among muscle groups, enabling high-precision three-dimensional dynamic arm force estimation. …”
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Plausible Vehicle Trajectory Augmentation With Hybrid Machine Learning by Junyeop Park, Hyeonsoo Jang, Byeongju Kang, Yunhyoung Hwang

“…This study outlines the methodology and validates the effectiveness of the augmented data, offering a promising method for enhancing autonomous vehicle training frameworks.…”
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A new advanced third-order sliding mode control with adaptive gain adjustment using fuzzy logic technique for standalone photovoltaic systems by Nesrine Cherigui, Abdelkarim Chemidi, Ahmed Tahour, Mohamed Horch

“…Simulation results demonstrated that the proposed FTOSMC-based MPPT method outperformed conventional techniques in terms of faster convergence to the maximum power point (MPP), reduced chattering effects, and improved robustness against environmental fluctuations. …”
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A Methodological Approach to Revealing the Landscape Morphology of Heijing Village Using Fractal Theory by Peiyuan Li, Shanshan Liu, Pengjun Wu, Yao Liu

“…This study’s innovation lies in its use of fractal analysis to assess the village’s dynamic landscape, offering a novel method for understanding the interplay between traditional spaces and modern demands. …”
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Imaging the Mahout structure at the Oman desert with the aid of geophysical observations by Sobhi Nasir, Nikos Economou, Nikos Economou, Khalil Al Hooti, Talal Al Hosni

“…Geophysical methods may provide crucial information for the characterization of buried impact structures. …”
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Long-Term Hourly Ozone Forecasting via Time–Frequency Analysis of ICEEMDAN-Decomposed Components: A 36-Hour Forecast for a Site in Beijing by Taotao Lv, Yulu Yi, Zhuowen Zheng, Jie Yang, Siwei Li

“…However, few studies have been able to reliably provide long-term hourly ozone forecasts due to the complexity of ozone’s diurnal variations. To address this issue, this study constructs a hybrid prediction model integrating improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN), bi-directional long short-term memory neural network (BiLSTM), and the persistence model to forecast the hourly ozone concentrations for the next continuous 36 h. …”
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The Decisive Influence of the Improved Remote Sensing Ecological Index on the Terrestrial Ecosystem in Typical Arid Areas of China by Long Guo, Chao Xu, Hongqi Wu, Mingjie Shi, Yanmin Fan

“…The methodology includes time series analysis, spatial distribution analysis, and statistical evaluations using the difference method, coefficient of variation, and the Hurst index. …”
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Enhanced Hybrid U-Net Framework for Sophisticated Building Automation Extraction Utilizing Decay Matrix by Ting Wang, Zhuyi Gong, Anqi Tang, Qian Zhang, Yun Ge

“…Automatically extracting buildings from remote sensing imagery using deep learning techniques has become essential for various real-world applications. However, mainstream methods often encounter difficulties in accurately extracting and reconstructing fine-grained features due to the heterogeneity and scale variations in building appearances. …”
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Few-Shot SAR Target Recognition via Causal Inference and Deep Metric Learning by Ke Wang, Yuqian Mao, Qi Qiao

“…This framework incorporates a novel causal intervention method based on multi-scale random convolution to eliminate spurious correlations caused by imaging variations, thereby enhancing feature stability. …”
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