Intra-day dispatch method via deep reinforcement learning based on pre-training and expert knowledge by Yanbo Chen, Qintao Du, Huayu Dong, Tao Huang, Jiahao Ma, Zitao Xu, Zhihao Wang

“…In recent years, due to high self-learning and self-optimization ability, reinforcement learning has emerged in the field of economic dispatch, which can solve model-free dynamic programming problems that cannot be effectively solved by traditional optimization methods. In this paper, we construct a reinforcement agent for intra-day dispatch to optimize generator output, using a twin delayed deep deterministic policy gradient algorithm based on pre-training and expert knowledge (PEK-TD3). …”
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A new method for diagnosing effective radiative forcing from aerosol–cloud interactions in climate models by B. M. Duran, C. J. Wall, C. J. Wall, N. J. Lutsko, T. Michibata, P.-L. Ma, Y. Qin, M. L. Duffy, M. L. Duffy, B. Medeiros, M. Debolskiy

“…Here, we develop a new, computationally efficient method for estimating the shortwave (SW) ERFaci from liquid clouds using histograms of monthly averaged cloud fraction partitioned by cloud droplet effective radius (<span class="inline-formula"><i>r</i>_e</span>) and liquid water path (LWP). …”
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Advanced hybrid intelligence evaluation of nanomedicine delivery to various organs using machine learning and adaptive tree structured Parzen estimator by Wael A. Mahdi, Adel Alhowyan, Ahmad J. Obaidullah

“…Machine learning strategy was tested to analyze the drug delivery of nanomedicines to the desired sites for efficient treatment. The inputs to the models are properties of nanoparticles, tumor model, cancer type, administration dose of drug, while the outputs are delivery efficiency of drug in various organs. …”
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Mathematical Model of the On-Board Antenna of Reentry Spacecraft Taking into Account Surface Waves by V. F. Mikhailov, I. V. Mazhnik

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A DEA-based Malmquist Productivity Index for Analysing University Performance and Competitiveness by Olena Brintseva

“…The use of input and output indicators, which characterise the didactic and research activities of universities and affect their efficiency, has been justified. …”
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An Advanced Approach for Predicting Workpiece Surface Roughness Using Finite Element Method and Image Processing Techniques by Taoming Chen, Chun Li, Zhexiang Zou, Qi Han, Bing Li, Fengshou Gu, Andrew D. Ball

“…Image processing methods (including mesh calibration, edge extraction, and contour fitting) were then applied to extract surface characteristics from the FE simulation outputs, yielding preliminary estimates of surface roughness. …”
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Synthesis of ZnSe thin films by solution-processed spin coating method for photonic integration applications by Tanzina Rahman, Md. Alamin Hossain Pappu, Bipanko Kumar Mondal, Syeda Samiha Nushin, Jaker Hossain

“…Abstract This investigation introduces a novel method for the fabrication of ZnSe thin films on glass substrates through the spin coating technique which employs thiol-amine cosolvents. …”
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Promoting the Integration of Public Perspective into Urban Design Decision-Making Based on Crowdsourced Visual Perception Method by Lu HUANG, Takuya (JPN) OKI

“…Thus, understanding and integrating public urban perception not only enhances design responsiveness to user needs but also fosters a harmonious balance of functional efficiency and humanistic care. Crowdsourced visual perception data and analysis methods, with their advantages of efficiency, broad representativeness, and low cost, have become key methodological tools in urban built environment research. …”
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Load Mismatch Compensation of Load-Modulated Power Amplifiers: A Comprehensive Review by Yufeng Zang, Weimin Shi, Jinting Liu, Tian Qi, Mingyu Li

“…After years of development, load-modulated PAs (LMPAs) can maintain high efficiency over a wide bandwidth and a larger output back-off (OBO) range. …”
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Theoretical Analysis of a Novel WDM Optical Long-Haul Network Using the Split-Step Fourier Method by Mounia Chakkour, Otman Aghzout, Fahd Chaoui

“…For this purpose, an efficient theoretical method combining a Fiber Bragg Grating (FBG) and Erbium Doped Fiber Amplifier (EDFA) was implemented. …”
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cologo-Economic Substantiation of Industrial Introducing of Solid Municipal Waste Technologies by M. V. Alyabeva, L. A. Miroshnikov, O. V. Verevkin

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YOLOv8-OCHD: A Lightweight Wood Surface Defect Detection Method Based on Improved YOLOv8 by Zuxing Chen, Junjie Feng, Xueyan Zhu, Bin Wang

“…To overcome the drawbacks of manual defect detection and the challenges of traditional visual inspection algorithms, such as high missed detection rates, slow detection speeds, and difficulties in deployment on embedded devices for detecting subtle wood surface defects, this study aims to improve the utilization efficiency of wood in enterprises. A lightweight wood surface defect detection method, YOLOv8-OCHD, based on deep learning models, is proposed. …”
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A Robust Stability Control Method Integrating Linear Quadratic Regulator and Proportional Integral for Islanded AC Microgrid by Muhammad Nauman Malik, Qianyu Zhao, Shouxiang Wang

“…The results indicate that this hybrid control method is highly effective in providing precise and efficient control under varying operational conditions, as it ensures rapid convergence to the desired state with minimum overshoot. …”
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Computation of Gram Matrix and Its Partial Derivative Using Precise Integration Method for Linear Time-Invariant Systems by Sulan Li, Yuanhao Ren, Hong Bao, Wei Zhang

“…In order to overcome these problems, this paper proposes an efficient numerical method based on the key idea of precise integration method (PIM) for the Gram matrix and its partial derivative of linear time-invariant systems. …”
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Thermal performance analysis of a heat exchanger with a novel turbulator insert by using machine learning method by Jiangbo Wang, Chenzhe Li, Liangcai Zeng, Ting Fu, Kai Liu

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Evaluation of machine learning methods for forecasting turbidity in river networks using Sentinel-2 remote sensing data by Victor Oliveira Santos, Paulo Alexandre Costa Rocha, Jesse Van Griensven Thé, Bahram Gharabaghi

“…Turbidity is an important indicator of river water quality and of great interest to improve the data acquisition methods and efficiency of decision support systems for sustainable ecosystem management. …”
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A Novel Renewable Energy Scenario Generation Method Based on Multi-Resolution Denoising Diffusion Probabilistic Models by Donglin Li, Xiaoxin Zhao, Weimao Xu, Chao Ge, Chunzheng Li

“…Nevertheless, conventional scenario generation methods often fail to produce highly credible wind and solar output scenarios. …”
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Two-stage prediction of drift ratio limits of corroded RC columns based on interpretable machine learning methods by Yan Zhou, Yizhi Qiu, Liuzhuo Chen

“…The proposed DNN model is capable of concurrently outputting multiple DRLs while balancing the accuracy and efficiency, and signifies a notable advancement beyond traditional methodologies for estimating the lateral deformation capacity of CRCCs.…”
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Modification of P&O Method on MPPT with PI Controller to Reduce Power Oscillation during Steady-State Condition by Nisrina Rania Habibah, Rini Nur Hasanah, Zainul Abidin

“…An adaptive  value is required to reduce the oscillations which have potential to degrade the efficiency of the PV cell output. A proportional-integral (PI) controller is explored in this paper in determining the most appropriate  value. …”
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Water Pump Control System using Pulse Width Modulation Method Based on Arduino Uno R3 by Dani Usman, Dimas Surya Permana

“…The focus of this research is to optimize the power efficiency of DC water pumps by using the Pulse Width Modulation (PWM) method to control the speed of the pump.…”
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