Image processing method based on aerospace monitoring by A. I. Mitsiukhin, I. I. Pikirenya

“…Such characteristics of binary objects as a spatial boundary and a contour were used as deciphering signs. These features make it possible to describe the shape of an object, its geometric parameters and search for images with specific spatial structures. …”
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Population dynamics and monitoring applied to decision-making by M. J. Conroy, D. C. Lee

“…Finally, calibration of model parameters is obtained by comparing predicted with observed abundance. …”
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Exploring geodesics, quantum fields and thermodynamics of Schwarzschild-AdS black hole with a global monopole in non-commutative geometry by Faizuddin Ahmed, Ahmad Al-Badawi, İzzet Sakallı

“…The effects of the non-commutative parameter and the global monopole are systematically examined in the context of various key features: the photon sphere radius, light deflection angle, stability of circular orbits, and the innermost stable circular orbit (ISCO). …”
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Visual Automatic Localization Method Based on Multi-level Video Transformer by Qiping ZOU, Botao LI, Saian CHEN, Xi GUO, Taohong ZHANG

“…At the core of the MLE are its dual attention modules: the Level-wise Learnable Attention (LWLA) and the Multi-level Cross Attention (MLCA), each stacked multiple times to deepen learning and integrate features more effectively. The LWLA employs a deformable attention mechanism, an innovative replacement for global attention that calculates feature similarity more flexibly and efficiently, reducing computational costs and mitigating slow convergence issues commonly associated with traditional models.　…”
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Investigation of the physically unclonable function of a configurable ring oscillator by A. A. Ivaniuk

“…Design and implementation features of a Physically Unclonable Function (PUF) based on a Configurable Ring Oscillator (CRO) on FPGA platforms are examined. …”
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Enhancing Hajj and Umrah Services Through Predictive Social Media Classification by Samia Allaoua Chelloug, Mohammed Saleh Ali Muthanna, Faisal Jamil, Mehdhar S. A. M. Al-Gaashani, Soha Alhelaly, Ahmed Aziz, Ammar Muthanna

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Adaptive Aberration Correction for Laser Processes Improvement by Carmelo Corsaro, Priscilla Pelleriti, Vincenza Crupi, Daniele Cosio, Fortunato Neri, Enza Fazio

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Cellular reactions to three-dimensional matrices of polylactic acid and hydroxyapatite generated by 3D-printing by T. V. Druzhinina, S. Ya. Talalaev, N. P. Zakirov, S. V. Shchadenko, Sh. A. Khabibulin, I. A. Khlusov, L. S. Litvinova

“…Moreover, osteogenic potential of 11 mm disks was determined in 21-day culture of human adipose-derived multipotent mesenchymal stem cells (AMMSCs) be means of osteocalcin secretion and intercellular matrix mineralization visualized by alizarin red S staining.Results. The features of PLA-HAP 3D composites generated by 3D printing correspond to physicochemical parameters which are crucial for bone tissue recovery. …”
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Adaptive Traffic Signal Control Method Based on Offline Reinforcement Learning by Lei Wang, Yu-Xuan Wang, Jian-Kang Li, Yi Liu, Jia-Tian Pi

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Lightweight YOLOv8s-Based Strawberry Plug Seedling Grading Detection and Localization via Channel Pruning by CHEN Junlin, ZHAO Peng, CAO Xianlin, NING Jifeng, YANG Shuqin

“…[Results and Discussions]The pruning process inevitably resulted in the loss of some parameters that were originally beneficial for feature representation and model generalization. …”
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Application of numerical methods to the analysis of the magnetic field in AC traction machines by A. S. Zuev, M. D. Gluschenko

“…The study applies a numerical finite element calculation method using an application software package that synthesises a two-dimensional computer model of the traction motor to calculate the magnetic field and formalises the calculation of output parameters based on data from technical literature, test results and reference materials. …”
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Energy Efficiency for 5G and Beyond 5G: Potential, Limitations, and Future Directions by Adrian Ichimescu, Nirvana Popescu, Eduard C. Popovici, Antonela Toma

“…In lowering carbon emissions and lowering OPEX, these three additional features could help mobile network operators achieve their targets.…”
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TDP-SAR: Task-Driven Pruning Method for Synthetic Aperture Radar Target Recognition Convolutional Neural Network Model by Tong Zheng, Qing Wu, Chongchong Yu

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Design Procedure for a Novel LMDS Base Station Reflectarray Antenna by Reza Masoumi, Robab Kazemi

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Numerical and experimental investigation of piezoelectric-pneumatic material jet printing method for high-viscosity ink by Xinyi Hu, Xiaoran Dong, Zhanda Li, Junhui Long, Yuan Jin, Hui Li

“…In this work, a two-dimensional computational fluid dynamics model is presented to elucidate the multiphase aerodynamic phenomenon and deposition morphology of jet printing features. …”
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Link-State-Aware Proactive Data Delivery in Integrated Satellite–Terrestrial Networks for Multi-Modal Remote Sensing by Ranshu Peng, Chunjiang Bian, Shi Chen, Min Wu

“…This paper seeks to address the limitations of conventional remote sensing data dissemination algorithms, particularly their inability to model fine-grained multi-modal heterogeneous feature correlations and adapt to dynamic network topologies under resource constraints. …”
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Topological data analysis and machine learning for COVID-19 detection in CT scan lung images by Rabih Assaf, Abbas Rammal, Alban Goupil, Mohammad Kacim, Valeriu Vrabie

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Powder Bed Fusion via Machine Learning-Enabled Approaches by Utkarsh Chadha, Senthil Kumaran Selvaraj, Abel Saji Abraham, Mayank Khanna, Anirudh Mishra, Isha Sachdeva, Swati Kashyap, S. Jithin Dev, R. Srii Swatish, Ayushma Joshi, Simar Kaur Anand, Addisalem Adefris, R. Lokesh Kumar, Jayakumar Kaliappan, S. Dhanalakshmi

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QTAIM study of the bonding in triosmium trihydride cluster [Os3(µ-H)3(µ3-ɳ2-CC7H3(2-CH3)NS)(CO)8] by Nadia Ezzat Al-kirbasee, Shatha Raheem Helal Alhimidi, Muhsen Abood Muhsen Al-Ibadi

“…For the bridged core part (Os3H3), a 6c–6e multicenter interaction is proposed. The topological parameters computed for the bridging 2-methylbenzothiazolide ligand interactions indicate that all of these interactions are typical related to the covalent bonds with a contribution of some double-bond character.…”
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An efficient trustworthy cyberattack defence mechanism system for self guided federated learning framework using attention induced deep convolution neural networks by Louai A. Maghrabi, Alanoud Subahi, Nouf Atiahallah Alghanmi, Turki Althaqafi, Nahla J. Abid, Nasser N. Albogami, Mahmoud Ragab

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