Research on Prediction and Optimization of Airport Express Passenger Flow Based on Fusion Intelligence Network Model by Jin He, Yinzhen Li, Yuhong Chao

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Research on the Construction and Application of Earthquake Emergency Information Knowledge Graph Based on Large Language Models by Wentao Zhou, Meng Huang, Shuai Liu, Qiao You, Fanxin Meng

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“Robots in Space” Multiagent Problem: Complexity, Information and Cryptographic Aspects by A. Yu. Bernstein, N. V. Shilov

“…The problem is closely related to the assignment problem in Graph Theory, to the convex hull problem in Combinatorial Geometry, or to the path-planning problem in Artificial Intelligence. Our algorithm grew up from a local search solution of the problem suggested by E.W. …”
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A Method of Simultaneous Vehicle Localization and Roadside Pole-shaped Object Inventory Creation Based on Integrated LiDAR-IMU-GNSS System by YUAN Chao, PAN Wenbo, CHEN Zhiwei, HUANG Wenyu, LI Yuanzhengyu, YANG Zhenyu

“…Although LiDAR-based simultaneous localization and mapping (SLAM) techniques have been widely applied in the navigation field, research on simultaneous real-time localization and creation of roadside pole-shaped object inventories remains absent. …”
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Mapping the distribution of pine wilt disease based on selected machine learning algorithms and high-resolution Gaofen-2/7 remote sensing by Yifan Wang, Xiaocheng Zhou, Chongcheng Chen, Xiaoqin Wang, Hao Wu, Fanglin Tan, Ruijiao Wu

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A Study of a Drawing Exactness Assessment Method Using Localized Normalized Cross-Correlations in a Portrait Drawing Learning Assistant System by Yue Zhang, Zitong Kong, Nobuo Funabiki, Chen-Chien Hsu

“…In this paper, we present a drawing exactness assessment method using a <i>Localized Normalized Cross-Correlation</i> (<i>NCC</i>) algorithm in the <i>PDLAS</i>. …”
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Research on pure azimuth passive positioning of unmanned aerial vehicle formation in electromagnetic silence environment by Cheng Qian

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Research on Downhole MTATBOT Positioning and Autonomous Driving Strategies Based on Odometer-Assisted Inertial Measurement by Mingrui Hao, Xiaoming Yuan, Jie Ren, Yueqi Bi, Xiaodong Ji, Sihai Zhao, Miao Wu, Yang Shen

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An Integration of Deep Neural Network-Based Extended Kalman Filter (DNN-EKF) Method in Ultra-Wideband (UWB) Localization for Distance Loss Optimization by Chanthol Eang, Seungjae Lee

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High-Impedance Fault Detection in Electric Power Distribution Network Using Local Pattern Transformation Methods and Bidirectional Long Short–Term Memory by Rini Varghese P, M. S. P. Subathra, S. Thomas George, Geno Peter, Albert Alexander Stonier, Sairamya N, Ananthi A, Vivekananda Ganji

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Standardized patient profile review using large language models for case adjudication in observational research by Martijn J. Schuemie, Anna Ostropolets, Aleh Zhuk, Uladzislau Korsik, Seung In Seo, Marc A. Suchard, George Hripcsak, Patrick B. Ryan

“…Abstract Using administrative claims and electronic health records for observational studies is common but challenging due to data limitations. Researchers rely on phenotype algorithms, requiring labor-intensive chart reviews for validation. …”
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Prediction of induction chemotherapy efficacy in patients with locally advanced nasopharyngeal carcinoma using habitat subregions derived from multi-modal MRI radiomics by Mulan Pan, Lu Lu, Xingyu Mu, Xingyu Mu, Guanqiao Jin

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Fine-tuning a local LLaMA-3 large language model for automated privacy-preserving physician letter generation in radiation oncology by Yihao Hou, Yihao Hou, Christoph Bert, Christoph Bert, Christoph Bert, Ahmed Gomaa, Ahmed Gomaa, Ahmed Gomaa, Godehard Lahmer, Godehard Lahmer, Godehard Lahmer, Daniel Höfler, Daniel Höfler, Daniel Höfler, Thomas Weissmann, Thomas Weissmann, Thomas Weissmann, Raphaela Voigt, Raphaela Voigt, Raphaela Voigt, Philipp Schubert, Philipp Schubert, Philipp Schubert, Charlotte Schmitter, Charlotte Schmitter, Charlotte Schmitter, Alina Depardon, Alina Depardon, Alina Depardon, Sabine Semrau, Sabine Semrau, Sabine Semrau, Andreas Maier, Rainer Fietkau, Rainer Fietkau, Rainer Fietkau, Yixing Huang, Yixing Huang, Florian Putz, Florian Putz, Florian Putz

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THE EFFECT OF TOPICAL APPLICATION WITH OZOILE® AS A NOVEL METHOD IN THE COMPLEX TREATMENT OF SOFT TISSUE INFECTIONS AND CHRONIC WOUNDS by P. Marinova

“…The treatment of severe and deep soft tissue infections, especially those combined with fascial necrosis is complex and involves a multidisciplinary team. The aim is to research the effect of topical application of Ozoile®, stable ozonides from organic extra-virgin olive oil +OILin the complex treatment of soft tissue infections and chronic wounds and to optimize the algorithm of these applications. …”
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CNN-based Rolling Optimization Strategy for Prosumer Group in Demand Response by Xudong ZHANG, Fei LI, Di LIU, Yi SUN, Bin LI

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Performance Optimization and Comprehensive Analysis of Binary Nutcracker Optimization Algorithm: A Case Study of Feature Selection and Merkle–Hellman Knapsack Cryptosystem by Mohamed Abdel-Basset, Reda Mohamed, Ibrahim M. Hezam, Karam M. Sallam

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Schools as Citizenship Laboratories in the Digital Era: A Literature Review by Achmad Robi Afrilihadi, Tjipto Sumadi, Nadiroh Nadiroh

“…Schools function as civic laboratories by utilizing digital technology to instill national values in students, enabling them to promote local culture and traditions through digital media and contribute to a modern national algorithm. …”
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First Results of Our Local Practice Guide Used During the Late Phase of Resuscitation in Patients with Refractory VF in Out of Hospital Cardiac Arrest by Slagt C, Van Kuijk SM, Bruhn J, Van Geffen GJ, Mommers L

“…This local practice HEMS treatment algorithm consisted of, among others, cessation of epinephrine and alternating administration of esmolol and norepinephrine combined with enoximone. …”
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Development of cohort definitions and algorithms to identify patients with Lennox-Gastaut syndrome or Dravet syndrome from real-world administrative healthcare databases by Drishti Shah, Victoria Divino, Justin Chen, Arturo Benitez, Jeannine Roth, J. Scott Andrews

“…Objective: To develop cohort definitions and algorithms that can be applied to a range of real-world retrospective data sources in the United States, France, Germany, Italy, Spain, United Kingdom, China, and Japan to identify patients with Lennox-Gastaut syndrome (LGS) or Dravet syndrome (DS) to aid future research. …”
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Housing Price Modeling Using a New Geographically, Temporally, and Characteristically Weighted Generalized Regression Neural Network (GTCW-GRNN) Algorithm by Saeed Zali, Parham Pahlavani, Omid Ghorbanzadeh, Ali Khazravi, Mohammad Ahmadlou, Sara Givekesh

“…Unlike feedforward neural networks, the generalized regression neural network does not converge to local minimums, so in this research, the Geographically, Temporally, and Characteristically Weighted Generalized Regression Neural Network (GTCW-GRNN) for housing price modeling was developed. …”
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