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

“…Experiments utilizing multi-source heterogeneous datasets compare the proposed model with traditional machine learning and deep-learning approaches, including LightGBM, MLP, SVR, CNN–Transformer, and BKA–CNN–Transformer. …”
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Construction of Knowledge Graph for Marine Diesel Engine Faults Based on Deep Learning Methods by Xiaohe Tian, Huibing Gan, Yanlin Liu

“…In this paper, we propose a BiLSTM-CRF-based knowledge graph construction method for ship diesel engine faults, aiming at integrating multi-source heterogeneous data through deep learning and knowledge graph technology, and mining the deep semantic associations among fault phenomena, causes, and solutions. …”
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Study on modified Whitley model with different number and various methods of forming elite individuals by N. S. Krivoshey, V. G. Kobak

“…Materials and Methods. All the algorithms implemented under the development of the software tool for solving the optimization scheduling problem are considered. …”
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Data and methods for assessing urban green infrastructure using GIS: A systematic review. by Xiaomian Wu, Jianquan Liu, Yukun Hou

“…This study centers on the scope, data sources, theoretical models, analyses, and objectives of GIS-based UGI assessments. …”
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Optimization of ultrasound assisted extraction of the Sea buckthorn leaves, characterization of the phenolic compounds, and determination of bioactive properties of the extracts by Nora Pap, Pertti Marnila, Juha-Matti Pihlava, Jenni Tienaho

“…However, non-proper processing methods can result in a decrease of the beneficial properties. …”
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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

“…Beyond device geometry, reaching optimal operation of organic electronic circuits requires the optimization of the physico‐chemical properties of the channel. …”
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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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Immunological AI Optimizer Deployment in a 330 MW Lignite-Fired Unit for NO_x Abatement by Konrad Świrski, Łukasz Śladewski, Konrad Wojdan, Xianyong Peng

“…The immunological AI optimizer adaptively models multi-variable interactions and fireball shape in real time, optimizing fuel–air mixing to reduce NO_x formation at the source. …”
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Performance of Various Voltage Stability Indices in a Stochastic Multiobjective Optimal Power Flow Using Mayfly Algorithm by Rebeccah Kyomugisha, Christopher Maina Muriithi, George Nyauma Nyakoe

“…The performance of voltage stability indices in the multiobjective optimal power flow of modern power systems is presented in this work. …”
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Optimizing Physical Conditioning Programs for Badminton Athletes: A Comprehensive Review of Training Strategies - A Systematic Review by Fadli Ihsan, Ahmad Nasrulloh, Sigit Nugroho, Zhanneta Kozina

“…This study seeks to systematically analyze these essential elements, driven by the imperative to comprehend critical factors for crafting optimized training programs to achieve peak performance efficiently and effectively.Materials and Methods: This study used a systematic approach to review various literature sources, journal articles, and empirical studies related to the achievements of badminton athletes at the international level. …”
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Optimizing E-Commerce Selection Under Uncertainty: A New Framework for Decision-Making With Extended Fuzzy TOPSIS by Jency Leona Edward, Palanivel Kaliyaperumal

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Statistical Optimization of Culture Medium for Maximal Growth of Novel Aquaculture Probiotic Strain Priestia paraflexa ONG1 by R. Sherlin Chandana Mary, S. Illanjiam

“…This investigation intended to optimize the culture medium for Priestia paraflexa ONG1, a fish probiotic, by combining conventional methods with factorial experimental designs. …”
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Computational Tool for Curve Smoothing Methods Analysis and Surface Plasmon Resonance Biosensor Characterization by Mariana Rodrigues Villarim, Andréa Willa Rodrigues Villarim, Mario Gazziro, Marco Roberto Cavallari, Diomadson Rodrigues Belfort, Oswaldo Hideo Ando Junior

“…To address these limitations, this study presents the development of an open-source computational tool to optimize SPR biosensor characterization, implemented using MATLAB App Designer (Version R2024b). …”
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Isolation and Optimization of Phages Infecting Members of the <i>Streptococcus bovis</i>/<i>Streptococcus equinus</i> Complex by Jenny Laverde Gomez, Cory Schwarz, Marina Tikhonova, Clark Hamor, Yizhi J. Tao, Pedro J. J. Alvarez, Jacques Mathieu

“…Background: Cattle production is a cornerstone of U.S. agriculture but faces increasing pressure to balance profitability with environmental sustainability. Optimizing the ruminal microbiome to enhance feed efficiency could help address both challenges. …”
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Calculation of spatial target coordinates in range-difference passive radars by the Levenberg – Marquardt method by A. A. Dmitrenko, S. Y. Sedyshev, Y. У. Kuleshov, A. A. Bogatyrev

“…Upon completing a comparative analysis of obtained characteristics and dependencies, we concluded that it is optimal to include four receiving points in a range-difference passive radar and use the Levenberg – Marquardt method to calculate the spatial coordinates of radio emission sources.…”
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Streptomyces griseorubens as a microbial cell factory for extracellular uricase production and bioprocess optimization using statistical approach by Noura El-Ahmady El-Naggar, Sara M. El-Ewasy, Nancy M. El-Shweihy

“…Thus, there is a continuous demand for screening soil samples derived from a variety of different sources in order to isolate a strain that possesses a high potential for producing uricase. …”
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Production chain and COVID-19 disruption: Sustainability via flexibility framework a case of the beverage industry by Adedugba Adebayo, Adeyemo Felicia, Oreagba Oluwakemi

“…The study also evaluated a contextual analysis of an organization, the impact of the corona-virus outbreak, and the challenges the organization encountered. A purposive method was utilized as an information-gathering source from 200 participants. …”
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Kneeliverse: A universal knee-detection library for performance curves by Mário Antunes, Tyler Estro, Pranav Bhandari, Anshul Gandhi, Geoff Kuenning, Yifei Liu, Carl Waldspurger, Avani Wildani, Erez Zadok

“…To address this challenge, we introduce Kneeliverse , an open-source library dedicated to knee/elbow point detection. …”
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Optimization of Protein Extraction from Sunflower Meal Using Taguchi Design and Regression Modeling for Human Nutrition Applications by Anca Becze, Marin Senila, Lacrimioara Senila, Lucian Dordai, Oana Cadar, Vanda Liliana Fuss-Babalau, Marius Roman, Levente Levei, Paul Uiuiu, Mihai Octavian Naghiu

“…Mechanical stirring, ultrasound-assisted, and CO₂-assisted extraction methods were evaluated, with mechanical stirring selected for optimization due to its scalability and energy efficiency. …”
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