Lantern-Explorer: A Collision-Avoidance Autonomous Exploration Drone System Based on Laser SLAM with Optimized Hardware and Software by L. Zhu, L. Zhu, R. Zhong, R. Zhong, D. Xie, D. Xie, X. Yuan, X. Yuan

“…Compared with existing platforms and methods, Lantern-Explorer demonstrated significant advantages in both exploration efficiency and mapping accuracy. …”
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On a Method for Calculating Bending and Shear Vibrations of a Porous Piezoelement in the Low-Frequency Region by A. N. Soloviev, V. A. Chebanenko, P. A. Oganesyan, E. I. Fomenko

“…The design of PEG is associated with the preliminary construction of their mathematical and computer models, with the help of which the calculation and optimization of structures is carried out. One of the ways to model and calculate PEG is to develop approximate calculation methods based on applied theories. …”
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Machine learning of automatic hierarchical multi-label classification method for identifying metal failure mechanisms by Ruitong Han, Chang-Bo Liu, Wanting Sun, Shuai Yu, Haoran Zheng, Lin Deng

“…Abstract In this study, a hierarchical multi-label classification method called HFFNet-2d is proposed for the automatic classification of scanning electron microscope (SEM) images of metal failure. …”
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A mixed‐methods needs assessment to identify pharmacology education objectives for emergency medicine residents by Ashley C. Rider, Brian T. Dang, Holly A. Caretta‐Weyer, Kimberly A. Schertzer, Michael A. Gisondi

“…Qualitative analysis revealed the need to optimize computer order entry, understand the scope of critical medications, use references, and consult pharmacists. …”
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Using machine learning methods for long-term technical and economic evaluation of wind power plants by Ali Omidkar, Razieh Es'haghian, Hua Song

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Environmental and health impacts of selected artificial sweeteners: Effectiveness of treatment methods and innovative approaches for mitigation by Marie Joe Sawma, Ramez M. Zayyat, George M. Ayoub, Nasser Mahmassani

“…These methods emphasize sustainability by using renewable energy sources, optimizing operational parameters, and implementing effective waste management strategies. …”
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Construction and Application of Intelligent O&M System for Urban Rail Transit Signaling Systems by YU Meng, LU Huaike, LIANG Zhe, FAN Zichao, GAO Ning

“…The goal is to break through the technical and managerial bottlenecks of traditional O&M models and achieve efficient, precise, and sustainable O&M system. [Method] By integrating multi-source heterogeneous data and building a multi-layer architecture, the system enables real-time equipment status monitoring and degradation trend analysis, significantly improving data utilization and fault identification capabilities. …”
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The native Iranian soil bacteria with high potential to produce extracellular methionine gamma-lyase by Matin Nasirian, Mohsen Mobini-Dehkordi, Pegah Khosravian

“…In conclusion, this study presents a promising new methods for identifying potential L-methioninase producers and optimizing the culture medium for more enzyme production by microbial fermentation. …”
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Big data classification method of non relational distributed submission information under differentiated requirements by Lu HAN, Weiyu CHEN, Fei ZHANG, Jianfeng HE, Huaizhen SU

“…The classification method of non-relational distributed submitted information big data under the differentiated demand was studied, aiming at the problem of multi-source heterogeneous, widely distributed submitted information with more differentiated application requirements and inability to distinguish the available information.Firstly, the usability, openness and expansibility of the non-relational distributed submission information database were analyzed.The unstructured database storage TRIP was used to store non-relational distributed submission information by combining the basic requirements of field types.Then, the hashing process within the Hamming hash family was analyzed.Under the constraint of linearity level requirements, cellular automata with multiple attractors were used to optimize the system.The optimal parameters of the multiple attractor cellular automata classifier were improved through genetic algorithm, thus improving the big data classification method.Experimental results show that this method can effectively identify and classify structured data and unstructured data in non relational distributed submission information, and has high classification accuracy.…”
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Life cycle cost of communication towers: identification and hierarchical classification of influencing factors by Jing Zhang, Yang Wang, Qianyi Xu, Hongshuai Gao

“…An integrated Grey-SNA-ISM model was then developed. The method identified 49 factors influencing LCC, integrated Grey-SNA centrality indicators, and established four network hierarchies, which include source-driven, intermediary conduction, collaborative central control, and outcome response. …”
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Modern Methods Used in Enterprise Resource Planning About the Business of International and Iraqi Commercial Companies by AlaaelDeen Ramadan, Hanaa Sharhan Hashim

“…Plan and expand the resources, methods, and techniques used in these activities. …”
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4E Analysis of solar photovoltaic, wind, and hybrid power systems in southern Pakistan: energy, exergy, economic, and environmental perspectives by Uzair Yousuf Muhammad, Malik Muhammad Hamza, Umair Muhammad

“…Initially, the data on Global Horizontal Irradiation (GHI) was sourced from Meteonorm, while wind data was obtained from the Energy Sector Management Assistance Program of the World Bank. …”
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Caesarean section versus vaginal birth in the perception of woman who gave birth by both methods by Octavian Gabriel Olaru, Anca Daniela Stanescu, Cristina Raduta, Liana Ples, Adriana Vasilache, Nicolae Bacalbasa, Andrei Vasilache, Oana Denisa Balalau

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Method Validation and Determination of Ametryn Pesticide in Water Samples by QuEChERS-GC-MS by Luis Felipe Lima Guimarães, Maria Zillene Franklin da Silva, Ronaldo Ferreira do Nascimento, Daniel Barbosa Alcântara

“…This study advances pesticide detection methods, addressing key factors like selectivity, linearity, and matrix effects, while providing insights into degradation byproduct detection and pesticide contamination in water sources.…”
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Development of a new method for preparing white flour dough using apple and pumpkin powder by O. V. Perfilova

“…The aim of the research was development of a method for preparing dough from wheat white flour using corn oil and 5% apple and pumpkin powders from marc of the production of direct pressing juice, which are sources of water-soluble antioxidants. …”
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Root Cause Analysis of Oil Losses in Press Machines Using Fault Tree Analysis Method by Nismah Panjaitan, Juni Arta Lubis, Niken Kristin Silitonga, Muhammad Zaky Faris

“…One option that the business could use is the fault tree analysis (FTA) method, which offers a methodical way to pinpoint the root causes of production inefficiencies to solve this problem. …”
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Analysis of State-of-Charge Estimation Methods for Li-Ion Batteries Considering Wide Temperature Range by Yu Miao, Yang Gao, Xinyue Liu, Yuan Liang, Lin Liu

“…Additionally, exploring the deep coupling of physical models and data-driven methods with multi-source heterogeneous data fusion technology can further improve the accuracy and robustness of SOC estimation. …”
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Research on Screening Method of Loess Slope Stability Evaluation Indexes Based on Validity and Reliability Coefficient by Jianlong Liao, Hongjun Sun, Jianchao An

“…The results showed that the 10 core indicators, including Cohesion, Internal Friction Angle, Maximum Monthly Rainfall, Rock Mass Structure, and Anthropogenic Engineering Activities, had a significant influence on loess slope stability, and the screening process effectively reduced the subjective bias and information redundancy. The method provides a data-driven theoretical framework for eolian slope risk assessment, which can improve the accuracy of landslide warning and the reliability of engineering protection design, and the engineering applicability of the model can be further optimized by combining the dynamic environmental parameters and multi-source monitoring data.…”
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A Distributed Low-Degree-of-Freedom Aerial Target Localization Method Based on Hybrid Measurements by Xiaoshuang Jiao, Jinming Chen, Lifeng Jiang, Weiping Li, Xiaochao Yang, Weiwei Wang, Jun Zhang

“…Finally, using inter-node measurements, a pseudo-linear system of equations is constructed to complete the three-node aerial target localization. The method uses satellites as radiation sources to transmit signals, with unmanned aerial vehicles (UAVs) acting as receiving station nodes to capture the signals. …”
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Knowledge Discovery Using Clustering Methods in Medical Database: A Case Study for Reflux Disease by Fatma Rıdaouı, Yunus Doğan

“…An increasing amount of data leads us to use the data and get the advantage of it by using methods like Data mining. Data mining is used in several industries. …”
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