A Novel Graph Reinforcement Learning-Based Approach for Dynamic Reconfiguration of Active Distribution Networks with Integrated Renewable Energy by Hua Zhan, Changxu Jiang, Zhen Lin

“…Firstly, a nonlinear stochastic optimization mathematical model for the ADNDR is constructed, taking into account the uncertainty of sources and loads. …”
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Comparison of numerical model, neural intelligent and GeoStatistical in estimating groundwater table by Maryam Bayatvarkeshi, Rojin Fasihi

“…The NRMSE value in Wavelet-ANN method as optimization method was 0.11 % and in numerical model was 2.2 %. …”
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Creating custom 3D printing material colors using optical modeling of waste plastic by Kimia Aghamohammadesmaeilketabforoosh, Joshua Givans, Morgan Woods, Joshua Pearce

“…To determine the optimal method, assessment criteria include the application of root mean square (RMS) and the color difference (ΔE CIE-2000). …”
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Forecasting Significant Wave Height Intervals Along China’s Coast Based on Hybrid Modal Decomposition and CNN-BiLSTM by Kairong Xie, Tong Zhang

“…This study proposes a deep learning method based on buoy datasets collected from four research locations in China’s offshore waters over three years (2021–2023, 3-hourly). …”
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Liquid-Liquid Extraction/Low-Temperature Purification (LLE/LTP) Followed by Dispersive Solid-Phase Extraction (d-SPE) Cleanup for Multiresidue Analysis in Palm Oil by LC-QTOF-MS by Elham Sobhanzadeh, Keivan Nemati

“…An evaluation of the extraction of multiresidue pesticides from palm oil by liquid-liquid extraction/low-temperature purification (LLE/LTP) coupled with dispersive solid-phase extraction (d-SPE) as the cleanup procedure with the determination by liquid chromatography mass spectrometry using electrospray as the ionization source (LC-ESI-MS) was carried out. Optimization approaches were studied in terms of d-SPE to select efficiency of type and mass of adsorbents to obtain the highest recovery yield of pesticides and the lowest coextract fat residues in the final extract. …”
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DECISION SUPPORT SYSTEM IN PLANNING INVESTMENT PROJECTS by Viktor Kosenko

“…While developing the method of selecting the optimal variant of the investment project, the types of source information about the project and the organization which will use the finances are involved are determined. …”
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Coordinate control of multi-infeed VSC-HVDC for enhancing power system reliability by Kwanghyun Kim, Yoongun Jung, Minhyeok Chang, Junsang Cha, Seokjun Kang, Hyunkeun Ku, Gumin Kwon, Minhan Yoon, Gilsoo Jang

“…The proposed method analyzes the impact of VSC-HVDC active and reactive power control on line loading and bus voltage variations to define the HVDC control area. …”
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Digital Low-Altitude Airspace Unmanned Aerial Vehicle Path Planning and Operational Capacity Assessment in Urban Risk Environments by Ouge Feng, Honghai Zhang, Weibin Tang, Fei Wang, Dikun Feng, Gang Zhong

“…A path planning method considering the optimization of the turning points of parallelograms was proposed, and the Parallel-A* algorithm was adopted for its solution. …”
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Development of intelligent controller for high performance electric drives with hybrid CSA and RERNN technique by J. Prabhakaran, P. Thirumoorthi, M. Mathankumar, S. P. Mangaiyarkarasi

“…According to MATLAB/Simulink, the proposed method demonstrates superior performance compared to existing techniques, such as Singular Spectrum Analysis (SSA), Artificial Neural Network (ANN), and Bee Colony Optimization (BCO). …”
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Robust fuzzy dynamic integrated environmental-economic-social scheduling considering demand response and user’s satisfaction with electricity under multiple uncertainties by Hong Zhang, Qianwei Xi, Lei Chen, Yong Min, Xiongxiong Fan, Wenjin Fang, Nan Tian, Fei Xu

“…Based on the improved IEEE-39 node system to verify the validity and superiority of the price-based demand response uncertainty modelling method and multiple uncertainty modelling method in this paper, as well as the reasonableness and necessity for considering the reliability in the user’s comprehensive satisfaction with electricity and the multiple uncertainties in power system optimal scheduling.…”
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Research on the Production Process of 99Mo Based on Low Enriched Uranium Fuel in Medical Isotope Test Reactor by Haijun WANG, Zhizhong SUN, Zisheng GENG, Keyu LUO, Yu DENG, Yunming CHEN, Ning LUO, Jinsong ZHANG

“…The research primarily focused on the development and optimization of a novel method involving a combination of spherical alumina columns，an α-benzoin oxime column，and an activated carbon column. …”
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Joint power allocation and subcarrier assignment for device to device in 5G time division duplex networks by Pan Zhao, Lei Feng, Peng Yu, Wenjing Li, Xuesong Qiu

“…It is solved by geometric programming technique in convex optimization method. The latter is derived as a one-to-many matching problem for scheduling multiple subcarriers occupied by cellulars to device-to-device pairs. …”
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Mannitol Production from Fructose by Using Resting Cells of Methylotrophic Yeasts by Nisa Yulianti Suprahman, Khairul Basyar, Herman Suryadi

“…Objectives: This research aimed to optimize bioconversion condition by using resting cells of methylotrophic yeasts with methanol and fructose as carbon source and substrate, respectively. …”
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Fourier–Bessel Series Expansion and Empirical Wavelet Transform-Based Technique for Discriminating Between PV Array and Line Faults to Enhance Resiliency of Protection in DC Microg... by Laxman Solankee, Avinash Rai, Mukesh Kirar

“…PV-based microgrids have numerous significant advantages over other distributed energy resources; however, creating a dependable protection scheme for the DC microgrid is difficult due to the closely resembling current and voltage profiles of PV array faults and line faults in the DC network. The conventional methods fail to clearly discriminate between them. …”
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Advancing lakes algal chlorophyll estimation in the contiguous USA: A comparative study of machine learning models and satellite data by Md Mamun, Xiao Yang

“…We assess the performance of four ML algorithms (random forest, extra tree regressor, bagging regressor, and xgboost model), discern the most influential spectral bands and indices, and compare these methods to established remote sensing techniques for CHL-a prediction. …”
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Construction and Application of a Real-time Grid Interpolation Station Service Based on Platform Tianqing by He Lin, Zhang Yabin, Xiao Weiqing, Huo Qing, Ji Qing, Feng Jieqiong

“…Through calling the location based services interface built on high-resolution multi-source fusion grid real-time analysis products, 3 methods of data interpolation services are proposed, including interpolation service based on national-provincial collaborative method, MDOS (Meteorological Data Operational System) correction, and special topics database. …”
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From Simulation to Implementation: A Systems Model for Electric Bus Fleet Deployment in Metropolitan Areas by Ludger Heide, Shuyao Guo, Dietmar Göhlich

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Transductive Radar Clutter Segmentation Network for Ionospheric Inhomogeneity Clutter Suppression by Yuanbiao Li, Lei Yu, Yinsheng Wei

“…A deep unfolding approach maps the iterative optimization procedure onto a neural network, jointly optimizing across multiple traditional clutter suppression methods. …”
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ParticleHolography.jl: Holographic particle measurement in Julia by Dai Nakai, Yohsuke Tanaka

“…ParticleHolography.jl is an open-source Julia package designed for particle measurements using in-line holography. …”
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3D Visualization Monitoring and Early Warning of Surface Deformation in Subsidence Area Based on GIS by Lei Gao, Yuanwen Song, Bo Zhao

“…The source suppression method solves the problem fundamentally by reducing or eliminating the emission of computer electromagnetic leakage source. …”
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