A Robust Control Strategy for Distributed Generations in Islanded Microgrids by esmaeel rokrok, fariba shavakhi zavareh, jafar soltani, mahmoud reza shakarami

“…The validity and effectiveness of the presented method are supported by time domain simulation of a test microgrid in MATLAB.…”
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Dynamic Stiffness Measurements of Road Pavements by Means of Impact Hammer in a Non-Resonant Configuration by Matteo Bolognese, Erica Greco, Francesco Bianco, Gaetano Licitra

“…In the present paper, the TAD, the measurement optimization work, the data analysis performed, and the proposed representation method will be described. …”
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Exploration of Bioinformatics on Microbial Fuel Cell Technology: Trends, Challenges, and Future Prospects by K. T. Nachammai, Srinithi Ramachandran, Chitra Nagarajan, Langeswaran Kulanthaivel, Gowtham Kumar Subbaraj, Kirubhanand Chandrasekaran, Vijayalakshmi Paramasivan, Senthilkumar Subramanian

“…Microbial fuel cells (MFCs) are a cost-effective and environmentally friendly alternative energy method. MFC technology has gained much interest in recent decades owing to its effectiveness in remediating wastewater and generating bioelectricity. …”
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The Value of Using Green Extraction Techniques to Enhance Polyphenol Content and Antioxidant Activity in <i>Nasturtium officinale</i> Leaves by Eva Naoum, Aikaterini Xynopoulou, Konstantina Kotsou, Theodoros Chatzimitakos, Vassilis Athanasiadis, Eleni Bozinou, Stavros I. Lalas

“…The FRAP method measured 57.15 μmol ascorbic acid equivalents (AAE)/g dw, while the DPPH radical scavenging activity method measured 47.55 μmol AAE/g dw. …”
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Improvement of point cloud feature extraction and alignment algorithms and lidar slam in coal mine underground by Guanghui XUE, Zhenghao ZHANG, Guiyi ZHANG, Ruixue LI

“…Initially, the method constructs kd-tree structures for the source and target point clouds, reduces point cloud numbers through statistical and voxel filtering, extracts point cloud surface normal, and computes fast point feature histogram descriptors for key points. …”
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Wafer-scale uniformity improvement of Dolan-bridge Josephson junction by shadow evaporation bias correction by Daria A. Moskaleva, Nikita D. Korshakov, Dmitry O. Moskalev, Anastasiya A. Soloveva, Alexey R. Matanin, Elizaveta I. Malevannaya, Nikita S. Smirnov, Maksim I. Teleganov, Yuri V. Panfilov, Ilya A. Rodionov

“…Here, we report on a robust wafer-scale Al/AlOx/Al Dolan-bridge Josephson junction (JJ) process using preliminary shadow evaporation bias resist mask correction and comprehensive oxidation optimization. We introduce a topology correction model for two-layer resist mask biasing at a wafer-scale, which takes into account an evaporation source geometry. …”
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Refining of the oil from asphaltene-resins and paraffins by B. R. Safiullin, V. О. Коzelkova, R. S. Каshaev, О. V. Коzelkov

“…Made the calculation of the rotating magnetic resonance source, its optimization and physical, mathematical modeling of its function in Matlab Simulink program. …”
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Research on Distributed Robust Planning of Electric-Hydrogen-Gas Integrated Energy System Considering Demand Response by ZHANG Wenxuan, SU Jia, DU Xinhui, ZHANG Zhishuo, WANG Qianchun, JIANG Haipeng

“…Simultaneously， through the collaborative optimization of carbon trading and demand response mechanisms， the system could reduce the power purchased by the upper power grid and use flexible loads and distributed power sources to achieve a low-carbon and stable operation of the integrated energy system. …”
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Optimising sample preparation to enhance contrast-to-noise ratio in X-ray phase contrast tomography white matter (WM) imaging of the central nervous system by Michela Fratini, Michela Fratini, Lorenzo Massimi, Francesco Brun, Darren Batey, Inna Bukreeva, Alberto Mittone, Alberto Bravin, Elena Longo, Giuliana Tromba, Federico Giove, Federico Giove, Silvia Cipiccia, Alejandra Sierra

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SPOTting Model Parameters Using a Ready-Made Python Package. by Tobias Houska, Philipp Kraft, Alejandro Chamorro-Chavez, Lutz Breuer

“…We developed SPOTPY (Statistical Parameter Optimization Tool), an open source python package containing a comprehensive set of methods typically used to calibrate, analyze and optimize parameters for a wide range of ecological models. …”
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Generation of Spatial Structure of Urban Parks Based on Spatial Analysis of Agent-Based Models by Huizi KONG, Tianming LIU, Jiajie LIAO, Liu CUI

“…This method provides a scientific analytical approach for landscape design from macro to micro scales, helping form spatial structure optimization schemes based on bottom-up design concepts. …”
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Error Analysis and Compensation of 3‒PTT Parallel Robot by CHEN Mingfang, LIANG Hongjian, WEI Songpo, HE Chaoyin

“…However, problems exist in traditional calibration methods, such as excessive error parameters, error accumulation, and difficulty in obtaining the optimal solution of statically indeterminate equations. …”
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Collaborative Scheduling Framework for Post-Disaster Restoration: Integrating Electric Vehicles and Traffic Dynamics in Waterlogging Scenarios by Hao Dai, Ziyu Liu, Guowei Liu, Hao Deng, Lisheng Xin, Liang He, Longlong Shang, Dafu Liu, Jiaju Shi, Ziwen Xu, Chen Chen

“…This study proposes a collaborative scheduling framework for post-disaster restoration in waterlogging scenarios, addressing the impact of waterlogging on both transportation and distribution systems. The method integrates electric vehicles (EVs), mobile power sources (MPSs), and repair crews (RCs) into a unified optimization model, leveraging an improved semi-dynamic traffic assignment (SDTA) model that accounts for temporal variations in road accessibility due to water depth. …”
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Thermochemical and biochemical conversion of agricultural waste for bioenergy production: an updated review by Hafiz Muhammad Aamir Shahzad, Zukhruf Asim, Sher Jamal Khan, Fares Almomani, Khaled A. Mahmoud, Muhammad Raza Ul Mustafa, Kashif Rasool

“…This review explores the potential of advanced biomass conversion technologies, with a focus on thermochemical and biochemical processes as key methods for optimizing agricultural waste management strategies. …”
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Resource Management Based on Security Satisfaction Ratio with Fairness-Aware in Two-Way Relay Networks by Jun Zhao, Zhaoming Lu, Xiangming Wen, Haijun Zhang, Shenghua He, Wenpeng Jing

“…We model the security resource management problem as a mixed integer programming problem, which is decomposed into three subproblems, distributed power allocation, distributed subchannel allocation, and distributed subchannel pairing, and then solved it in constraint particle swarm optimization (CPSO), binary CPSO (B_CPSO), and classic Hungarian algorithm (CHA) method, respectively. …”
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Refraction-Aware Structure from Motion for Airborne Bathymetry by Alexandros Makris, Vassilis C. Nicodemou, Evangelos Alevizos, Iason Oikonomidis, Dimitrios D. Alexakis, Anastasios Roussos

“…In this work, we introduce the first pipeline that combines a refraction-aware structure from motion (SfM) method with a deep learning model specifically designed for airborne bathymetry. …”
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Optimistic multi-granulation roughness of intuitionistic fuzzy ideals based on soft relations over dual universes by Shahida Bashir, Muhammad Shabir, Muhammad Zishan Anwar, Rabia Mazhar, Afraz Hussain Majeed, Ehab Ghith, Mehdi Tlija

“…This approach has potential impacts on fields like coding theory, automata theory, and cryptography, providing a flexible and robust method for handling imprecise data, where the use of optimization, and analysis in the industrial domain identify input data with uncertainty and vagueness and reachable multi-source information. …”
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Integracija toplotnih pumpi u postojeći energetski sistem u malim i srednjim preduzećima by Dubravka Živković, Davor Končalović, Vladimir Vukašinović, Mladen Josijević, Dušan Gordić

“…The introduced methodology can simplify the heat pump integration process, and the proposed method can be further extended to other industrial processes for low-grade waste heat recovery.…”
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A neural network-based synthetic diagnostic of laser-accelerated proton energy spectra by Christopher J. G. McQueen, Robbie Wilson, Timothy P. Frazer, Martin King, Matthew Alderton, Ewan F. J. Bacon, Ewan J. Dolier, Thomas Dzelzainis, Jesel K. Patel, Maia P. Peat, Ben C. Torrance, Ross J. Gray, Paul McKenna

“…Abstract Machine learning can revolutionize the development of laser-plasma accelerators by enabling real-time optimization, predictive modeling and experimental automation. …”
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Implications of helium accumulation models in helium-rich basins in China for the enrichment and exploration of helium in coal measures by Yunbo LI, Chengtao WANG, Dangyu SONG, Xiaowei SHI, Rongqi WANG

“…However, relevant research remains in its infancy. MethodsBased on a summary and analysis of helium generation, migration, and accumulation theories in natural gas reservoirs, this study systematically investigated the enrichment patterns of helium in coal measures and proposed exploration targets. …”
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