Nonlinear optical excitation response and regulation of instabilities in a Y-type atomic system under complex interactions by Shang-Yu Zhai, Rui Shi, Fu-Han Xie

“…More importantly, such bistable and multi-stable phenomena can be well regulated by changing the cooperative nonlinearity modulated via the pump field. …”
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Joint User Association and Resource Allocation for Hierarchical Federated Learning Based on Games in Satisfaction Form by Panagiotis Charatsaris, Maria Diamanti, Symeon Papavassiliou

“…Different types of equilibria are explored, i.e., the Satisfaction Equilibrium (SE) and Minimum Efficient Satisfaction Equilibrium (MESE) which not only fulfills users’ minimum tradeoff but also minimizes the overall network’s cost. Algorithms based on Reinforcement Learning (RL) and Best Response Dynamics (BRD) are, then, devised to conclude the SE and MESE points. …”
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Design and Implementation of a Quantum-Assisted Digital Signature by Marta Irene García-Cid, Rodrigo Martín, David Domingo, Vicente Martín, Laura Ortiz

“…We propose a new quantum-assisted digital signature (Q-DS) protocol based on the composite of truly random symmetric keys generated by quantum key distribution with secure standardized hash functions, which allows for high parameterization to provide different security levels. …”
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EvSat3D: Satellite Pose Estimation and 3D Reconstruction With Event Camera by Shahid Shabeer Malik, Maryam Moshrefizadeh, Omar Tahri, Xiaoli Bai, Erik Blasch, Vasit Sagan, Hadi AliAkbarpour

“…The pipeline leverages event-to-frame (E2F) conversion algorithms to generate frames from asynchronous event data and applies Structure-from-Motion (SfM) techniques for accurate camera pose recovery and 3D scene reconstruction. …”
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Precision Analysis of Multi-Parameter Multi-Epoch Emitter Localization Radar in Three-Satellite Formation by Yiming Lian, Yuxuan Wu, Yaowen Chen, Xian Liu, Liming Jiang

“…To address the issues of requiring numerous cooperative platforms and the poor accuracy of single-epoch solutions with single-parameter closed-form algorithms, this paper proposes a multi-parameter multi-epoch positioning method based on a three-satellite formation. …”
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SynthSoM: A synthetic intelligent multi-modal sensing-communication dataset for Synesthesia of Machines (SoM) by Xiang Cheng, Ziwei Huang, Yong Yu, Lu Bai, Mingran Sun, Zengrui Han, Ruide Zhang, Sijiang Li

“…The SynthSoM dataset is open-sourced and provides consistent data for cross-comparing SoM-related algorithms.…”
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Intra-Technology Enhancements for Multi-Service Multi-Priority Short-Range V2X Communication by Ihtisham Khalid, Vasilis Maglogiannis, Dries Naudts, Adnan Shahid, Ingrid Moerman

“…Cooperative Intelligent Transportation Systems (C-ITSs) are emerging as transformative technologies, paving the way for safe and fully automated driving solutions. …”
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HAF-YOLO: Dynamic Feature Aggregation Network for Object Detection in Remote-Sensing Images by Pengfei Zhang, Jian Liu, Jianqiang Zhang, Yiping Liu, Jiahao Shi

“…The growing use of remote-sensing technologies has placed greater demands on object-detection algorithms, which still face challenges. This study proposes a hierarchical adaptive feature aggregation network (HAF-YOLO) to improve detection precision in remote-sensing images. …”
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Predicting clozapine-induced adverse drug reaction biomarkers using machine learning by John-Paul Cooper, Pierre Chue, Arno G. Siraki, Lusine Tonoyan

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Physical education and sport activity assessment tool-based machine learning predictive analysis for planification of training sessions by Mohamed Rebbouj, Said Lotfi

“…Background and purpose The aim of this study is to incorporte machine learning techniques in physical education activities assessment so we can plan a training session and learning cycle based on predictive analyses using machine learning algorithms. Material and methods A dataset represent the collection of physical tests (as Harvard test, Vertical and Horizontal Trigger) and activities performance (as 600 m, 1000 m, 12 min cooper) of 600 students in a secondary high school, aged between 15 and 20 years old (mean:16,21, SD:0,92), during 2021-2022 scholar year and project the predicted results on the following learning cycles in the scholar year of 2022-2023. …”
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Epidemiological tracking and population assignment of the non-clonal bacterium, Burkholderia pseudomallei. by Julia Dale, Erin P Price, Heidie Hornstra, Joseph D Busch, Mark Mayo, Daniel Godoy, Vanaporn Wuthiekanun, Anthony Baker, Jeffrey T Foster, David M Wagner, Apichai Tuanyok, Jeffrey Warner, Brian G Spratt, Sharon J Peacock, Bart J Currie, Paul Keim, Talima Pearson

“…Here, we use multiple Bayesian approaches to evaluate the compositional robustness of these populations, and provide assignment results for MLST sequence types (STs). …”
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Genetic subtyping by Whole Exome Sequencing across Diffuse Large B Cell Lymphoma and Plasmablastic Lymphoma. by Aitana Avendaño Pomares, Laura Rodríguez Merino, Sonia González, Jordi Morata, Raúl Tonda, Patricia Arribas, José Revert, Estrella Carrillo, Carlos Grande, Josep Maria Roncero, Jaime Pérez de Oteyza, Concepción Nicolás, Norma Gutierrez, Pau Abrisqueta, Antonio Gutiérrez, Ángel Ramírez-Páyer, Alejandro Martin Garcia-Sancho, Eva González-Barca, Santiago Montes-Moreno, GELTAMO group (Grupo Español de Linfomas y Trasplante Autólogo de Medula Osea), Spain

“…Recently, genomic-based algorithms have been proposed for the classification of this disease. …”
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Factors influencing the spatial distribution of police stops and their efficacy in crime prevention and control by Zhuoying Fan, Xuewei Zhang, Guangwen Song, Chunxia Zhang

“…The space is partitioned using hierarchical clustering after applying the XGBoost and SHAP algorithms to determine the factors related to police stops. …”
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Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar by CHEN Jun, ZHANG Bo, ZHUANG Xingyue, SONG Zhishu, ZHENG Jun

“…Finally, the fractures reach the "through-composite" stage, where the reflection signals merge into a complex waveform, forming a stable composite reflection structure. …”
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Study of Cathode Materials for Na-Ion Batteries: Comparison Between Machine Learning Predictions and Density Functional Theory Calculations by Claudio Ronchetti, Sara Marchio, Francesco Buonocore, Simone Giusepponi, Sergio Ferlito, Massimo Celino

“…We trained crystal graph convolutional neural networks and geometric crystal graph neural networks, and we demonstrate the ability of the machine learning algorithms to predict the formation energy of the candidate materials as calculated by the density functional theory. …”
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Materials genome engineering accelerates the research and development of organic and perovskite photovoltaics by Ying Shang, Ziyu Xiong, Kang An, Jens A. Hauch, Christoph J. Brabec, Ning Li

“…Materials genome engineering (MGE) advances an innovative approach that combines efficient experimentation, big database and artificial intelligence (AI) algorithms to accelerate materials research and development. …”
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Comparison of stable isotope mixing models for examining plant root water uptake. by Xue Qiu, Mingjun Zhang, Shengjie Wang, Hongfei Meng, Cunwei Che

“…Although the proportional contributions of each water source were different due to different algorithms, the water source which contributed maximum proportion was the same for all models. …”
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An End-to-End Solution for Large-Scale Multi-UAV Mission Path Planning by Jiazhan Gao, Liruizhi Jia, Minchi Kuang, Heng Shi, Jihong Zhu

“…However, traditional heuristic algorithms are frequently trapped in local optima, require task-specific manual tuning, and exhibit limited generalization capabilities. …”
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Modelling Gas Transport in Multiphasic Materials: Application to Semicrystalline Membranes by Lorenzo Merlonghi, Marco Giacinti Baschetti, Maria Grazia De Angelis

“…The description of gas permeation across heterogeneous materials has been studied with many methods, mainly focusing on composites with high aspect ratios and low filler volume fractions. …”
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Artificial Neural Network Text Generation as a New Type of Masking the Authorship by Ogorelkov Igor', Mahaeva Elizaveta

“…In this research, human-made texts and texts generated by GPT 4.5 were analyzed using the methods of compositional-semantic, structural-semantic, and grammatical-syntactic analysis. …”
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