EISPY2D: An Open-Source Python Library for the Development and Comparison of Algorithms in Two-Dimensional Electromagnetic Inverse Scattering Problems by Andre Costa Batista, Ricardo Adriano, Lucas S. Batista

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Joint Classification of Hyperspectral and LiDAR Data via Multiprobability Decision Fusion Method by Tao Chen, Sizuo Chen, Luying Chen, Huayue Chen, Bochuan Zheng, Wu Deng

“…Finally, the four CPMs are fused via a multiprobability decision fusion method to obtain the optimal classification results. …”
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An Intelligent Method for C++ Test Case Synthesis Based on a Q-Learning Agent by Serhii Semenov, Oleksii Kolomiitsev, Mykhailo Hulevych, Patryk Mazurek, Olena Chernyk

“…Most traditional test suite optimization methods treat test cases as atomic units, without analyzing the utility of individual instructions. …”
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Adaptive Step RRT*-Based Method for Path Planning of Tea-Picking Robotic Arm by Xin Li, Jingwen Yang, Xin Wang, Leiyang Fu, Shaowen Li

“…It combines fast connectivity and pruning optimization methods to identify collision-free paths in a shorter time and to reduce the computational burden. …”
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Multiscale Feature Modeling and Interpretability Analysis of the SHAP Method for Predicting the Lifespan of Landslide Dams by Zhengze Huang, Yuqi Bai, Hengyu Liu, Yun Lin

“…The results show that the IBKA–CNN–Transformer achieves R² values of 0.99 on training data and 0.98 on testing data, surpassing the baseline methods. Moreover, SHapley Additive exPlanations analysis quantifies the influence of critical features such as dam length, reservoir capacity, and upstream catchment area on lifespan prediction, improving model interpretability. …”
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Innovative BWM–TOPSIS-based approach to determine the optimum delivery method for offshore projects by Lamisse Raed, Ibrahim Mahdi, Hassan Mohamed Hassan Ibrahim, Ehab Rashad Tolba, Ahmed M. Ebid

“…This study aims to investigate the impact of PDM on the risk assessment of the lifecycle of offshore platform projects and to identify and evaluate risks associated with offshore projects to improve understanding and optimize performance outcomes. In order To achieve the study’s objective, the Best Worst Method (BWM) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are utilized for a lifecycle-focused risk assessment to identify the optimum PDM for offshore projects. …”
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A Rapid Computational Method for Quantifying Inter-Regional Air Pollutant Transport Dynamics by Luoqi Yang, Guangjie Wang, YeGui Wang, Yibai Wang, Yongjing Ma, Xi Zhang

“…The results underscore the model’s capability to accurately capture spatial and temporal variations in pollutant dispersion, effectively identify major transport pathways, and quantify the contributions of inter-regional sources. Cross-validation with established methods reveals strong spatial and temporal correlations, further substantiating its accuracy. …”
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A Universal Method for Achieving Ultra‐Low Contact Resistances in Organic Electrochemical Transistors by Luis‐Abraham Lozano‐Hernández, Patrice Rannou, Yvan Bonnassieux, Sébastien Sanaur

“…An easy‐to‐implement method to achieve ultra‐low contact resistances in OECTs is introduced. …”
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An Improved Decline Curve Analysis Method via Ensemble Learning for Shale Gas Reservoirs by Yu Zhou, Zaixun Gu, Changyu He, Junwen Yang, Jian Xiong

“…The results show that the Improved DCA model achieved superior performance—with an mean absolute error (MAE) of 0.0660, an mean squared error (MSE) of 0.0272, and an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> value of 0.9882—and exhibited greater stability across various samples and conditions. This method provides a reliable tool for long-term production forecasting and optimization without extensive geological or engineering information.…”
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Study on Vibration Characteristics and Transmission Path of Mountain Rack Trains Based on the OPTA Method by Liangzhao Qi, Xingqiao Deng, Liyuan Zeng, Chenglong Dong, Yixin Xu, Shisong Wang, Yucheng Liu

“…However, due to the multi-source vibration of gear teeth, wheels, rails, and suspensions, it is difficult to clearly define the vibration characteristics and vibration transmission path of the train, which has a serious impact on its vibration noise suppression and optimization. …”
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New improvement ion exchange treatment method for drinking water in Juybar City, Iran by Yasin Nasrollahi, Mojtaba Khoshravesh, Ghasem Aghajani Mazandarani

“…Abstract Due to the high cost of water refinement by chemicals, refinement is very important with low-cost methods. By promoting for cost-effective strategies, communities and regions can enhance their ability to address the increasing need for clean water while reducing the financial burden associated with traditional chemical treatments. …”
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A sonication-assisted method for the production of true-to-life nanoplastics from polymeric materials by Carlos Adelantado, Jasper Charlier, Nancy Dewit, Jan Jordens, Stefan Voorspoels, Kristof Tirez, Milica Velimirovic

“…The objective of this study is to develop and optimize a sonication-assisted method for degrading macroplastics and generating NPs from different real-life polymeric sources. …”
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Optimization of Energy-saving Operation Strategy of Heat Pump Hot-water System Using Stochastic Load Prediction by Liu Chengning, Liang Xingyu, Shao Liangliang, Zhang Chunlu

“…The energy-saving properties of the optimization method were verified and analyzed using an air-source heat pump hot-water system. …”
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Logistic calibrated items (LCI) method: does it solve subjectivity in translation evaluation and assessment? by Alireza Akbari

“…This research paper introduces a model of translation evaluation called Logistic Calibrated Items method. The aim of LCI method is to maximize a translators’ performance and to identify top competent translators through detecting all parsing items within a source text. …”
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Cross-domain topic transfer learning method based on multiple balance and feature fusion by Zhenshun Xu, Zhenbiao Wang, Wenhao Zhang, Zengjin Tang

“…Additionally, we introduce a topic knowledge distillation method, leveraging topics from the source domain to guide and optimize topic generation in the target domain. …”
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Converter station selection method of urban VSC‐DC intertie for grid resilience enhancement by Mingyang Li, Kaiqi Sun, Ke‐Jun Li, Yang Liu, Ge Cao, Shuxin Song, Yuanyuan Sun

“…This paper proposes a novel converter station site selection method to identify optimal connection points in urban grids, enabling efficient active power transfer while providing flexible active and reactive power support in interconnected urban areas. …”
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Development of a method for automated 5G and beyond network slices penetration testing by Roman Odarchenko, Maksim Iavich, Alla Pinchuk

“…The tasks to be solved are as follows: 1) to analyze existing penetration testing methods of 5G and beyond networks and research in this area; 2) to develop a new method for automated 5G and beyond network slices penetration testing; 3) to design and implement the methodology in the form of software for virtualize environments; 4) to develop a 5G test network architecture based on open-source solutions and methodology of experiments conducting; 5) to test and validate the solution effectiveness in detecting vulnerabilities and simulating realistic attack scenarios in the 5G test network environment. …”
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An Inverse Transient Nonmetallic Pipeline Leakage Diagnosis Method Based on Markov Quantitative Judgment by Yongmei Hao, Yifei Ma, Juncheng Jiang, Zhixiang Xing, Lei Ni, Jian Yang

“…Finally, the objective function was optimized in conjunction with the sequential quadratic programming (SQP) method to obtain the actual leakage parameters and calculate the size and location of the leakage source. …”
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Information Diffusion Interpolation Model Based on the PSO-CV Algorithm and Its Application on Source Regions of the Yellow River by HUANG Huaping, YIN Kaixia, JIN Gaoyang

“…The spatial interpolation based on the limited observation data of precipitation stations is an effective means to explore the spatial characteristics of precipitation.This paper briefly introduces a spatial interpolation model based on the information diffusion theory,proposes an optimal information diffusion interpolation model based on particle swarm optimization (PSO) and cross-validation (CV) with consideration of the disadvantages on key parameter estimation of existing experience information diffusion interpolation model,and evaluates the interpolation effect of the information diffusion interpolation model in terms of four time scales of year,quarter,month and day with inverse distance weighting,ordinary kriging method,universal kriging method and co-kriging method considering the elevation as comparison,taking the source regions of the Yellow River as an example.The results show that overall,the optimal information diffusion interpolation model has the highest accuracy,while the inverse distance weighting has the lowest accuracy.The accuracy of experience information diffusion interpolation model does not differ much from the other three spatial interpolation methods,and the accuracy differences between different methods decrease as the time scale decreases.…”
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Numerical simulation of heat distribution of silicon carbide growth by PVT method with inner rod by Jintao Xu, Pan Gao, Weiyi He, Shengnan Jiang, Xiuhong Pan, Chunjun Liu, Xuechao Liu

“…The physical vapor transport (PVT) method has been widely used in the growth of silicon carbide single crystals. …”
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