Electrodynamics-based quantum gate optimization with born scattering by Kumar Gautam, Chang Wook Ahn

“…The design algorithm is obtained by discretizing the resulting integral equations into vector equations. …”
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Preservation of the lost: The case of heritage in urban design of the “Ekaterinburg City” by Yulia V. Udalova

“…This site is characterized by the maximum loss of the historical environment, but has signs of sociocultural value for Yekaterinburg. The algorithm for preserving values in conditions of maximum loss of objects of material culture is as follows: 1. …”
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Cloud-based real-time enhancement for disease prediction using Confluent Cloud, Apache Kafka, feature optimization, and explainable artificial intelligence by Abdulaziz AlMohimeed

“…This integration adds new value to healthcare that helps organizations enhance clinical decision-making, improve patient care, and elevate the overall quality of healthcare. …”
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Interdisciplinary medical education practices: building a case-driven interdisciplinary simulation system based on public datasets by Kangli Qiu, Tianshu Zeng, Wenfang Xia, Miaomiao Peng, Wen Kong

“…This model holds significant reference value for promoting in-depth cross-disciplinary integration of “medicine + X”.…”
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The pathways to lean manufacturing for circular economy: Implications for sustainable development goals by Sheak Salman, Hasin Md. Muhtasim Taqi, S.M. Shafaat Akhter Nur, Usama Awan, Syed Mithun Ali

“…This formed the basis for developing a path simulation algorithm, integrating heuristic considerations for practical decision-making. …”
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Statistical analysis of periodic MHD chemically radiative casson flow over an inclined cylinder with entropy optimization by Md. Yousuf Ali, Mizanur Rahman

“…We employ a statistical approach, amalgamating the robust 6th order Runge-Kutta (R-K) integration algorithm with the Nachtsheim-Swigert (N-S) shooting iteration method, subsequent to converting the governing equations into Ordinary Differential Equation (ODE) form. …”
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Extract optimization of Ulva lactuca L. and biological activities of optimized extracts by Nuh Korkmaz

“…Methods Two different methods, Response Surface Method (RSM) and Artificial Neural Network-Genetic Algorithm (ANN-GA) integration were used for optimization. …”
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Proposed improvement of product support packaging material defects using the Cross-Industry Standard Process for Data Mining (CRISP-DM) approach by Rina Fitriana, Anik Nur Habyba, Gina Almas Nabiha, Sannia Mareta

“…The Data Preparation stage performs data cleaning, integration, transformation, and preprocessing. The Modelling stage makes classification with C4.5 and the Cart decision tree algorithm. …”
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Development and performance testing of a positioning system for tank floor in-service inspection robots by Yewei KANG, Changfang WU, Zhenghong GUO

“…To mitigate the impact of empirical sound velocity methods on positioning accuracy, a sound velocity field estimation algorithm is employed to maintain rational sound velocity value ranges. …”
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TCBGY net for enhanced wear particle detection in ferrography using self attention and multi scale fusion by Lei He, Haijun Wei, Cunxun Sun

“…This integration enhances the global feature extraction capability of the backbone network and improves its ability to detect small target wear particles. …”
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Dynamic Deformation Analysis of Super High-Rise Buildings Based on GNSS and Accelerometer Fusion by Xingxing Xiao, Houzeng Han, Jian Wang, Dong Li, Cai Chen, Lei Wang

“…To accurately capture the dynamic displacement of super-tall buildings under complex conditions, this study proposes a data fusion algorithm that integrates NRBO-FMD optimization with Adaptive Robust Kalman Filtering (ARKF). …”
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A lightweight spatiotemporal classification framework for tree species with entropy-based change resistance filter using satellite imagery by Biao Zhang, Zhichao Wang, Boyi Liang, Liguo Dong, Zebang Feng, Mingyang He, Zhongke Feng

“…The STECR-F algorithm integrates the concept of Spatiotemporal Entropy (STE) and, by applying weighted spatiotemporal neighborhood information, suppresses uncertainty in the classification process. …”
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A Study on Multi-ship Avoidance System for Unmanned Surface Vehicles Using the Quaternion Ship Domain and Collision Risk Index by Dong-Hun Lee, Mu-Yeong Seo, Hyo-Geun Lee, Won-Jun Yoo, Sanghyun Kim, Kwang-Jun Paik

“…This paper proposes a multi-ship collision avoidance algorithm that integrates the quaternion ship domain (QSD) and collision risk index (CRI) to assess collision risk and generate optimal avoidance trajectories. …”
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Constructing a tumor immune microenvironment-driven prognostic model in acute myeloid leukemia using bioinformatics and validation data by Amir Abbas Navidinia, Ali Keshavarz, Bentol Hoda Kuhestani Dehaghi, Reza Khayami, Najibe Karami, Vahid Amiri, Mehdi Allahbakhshian Farsani

“…Immune scores correlated with FAB classification (ESTIMATE: p-value = 1.4e − 8; xCell: p-value = 3.7e − 9) and overall survival (ESTIMATE: v = 0.041). …”
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Evaluation of a Machine Learning Model Based on Laboratory Parameters for the Prediction of Influenza A and B in Chongqing, China: Multicenter Model Development and Validation Stud... by Weiwei Hu, Yulong Liu, Jian Dong, Xuelian Peng, Chunyan Yang, Honglin Wang, Yong Chen, Shan Shi, Jin Li

“…Routine blood parameters offer promising predictive value but lack integration into intelligent diagnostic systems for influenza subtyping. …”
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ML Auditing and Reproducibility: Applying a Core Criteria Catalog to an Early Sepsis Onset Detection System by Markus Schwarz, Ludwig Christian Hinske, Ulrich Mansmann, Fady Albashiti

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FLWD:A Webshell detection method based on federated learning by ZENG Qingpeng, CHAI Jiangli, WU Shuixiu

“…To address these challenges, a Webshell detection method based on federated learning was proposed. The method integrated the abstract syntax tree node value sequence features, code structure features, text obfuscation features, and cybersecurity expertise and experience features of Webshells. …”
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Research on Ship Heave Motion Compensation Control Under Complex Sea State Environment Based on Improved Reinforcement Learning by ZHANG Qin, ZHOU Jingyi, WANG Xingyue, HU Xiong

“…The TD3 algorithm approximates the value function and policy by harnessing deep neural networks, equipping it to tackle complex and nonlinear sea condition challenges. …”
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RECOGNITION OF PROPELLER-DRIVEN AIRCRAFT IN A PASSIVE BISTATIC RADAR by E. N. Vorobev, V. I. Veremyev, D. V. Kholodnyak

“…The experimental results of the processing algorithm are presented on the example of real signals reflected from the Mi- 8 helicopter and the Cessna 172 propeller aircraft. …”
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Design of an Automatic Defect Identification Method Based ECPT for Pneumatic Pressure Equipment by Bo Zhang, YuHua Cheng, Chun Yin, Xuegang Huang, Sara Dadras, Hadi Malek

“…The presented feature extraction algorithm contains four elements: data block selection; variable step search; relation value classification; and between-class distance decision function. …”
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