Determination of coordinates relay satellites in range-difference system geolocation by V. V. Sevidov, A. O. Chemarov

“…Showing coordinate transformations in the interests of geolocation. Outlines the key factors that affect the accuracy of range-difference system of geolocation. …”
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Underwater target depth estimation: A shallow-water broadband acoustic source depth estimation method based on corrected warping transformation. by Du Siqi, Han Dong, Liu Cong, Li Sidi

“…A broadband sound source depth estimation method based on the BDRM model is proposed for the shallow sea to address the problem that the traditional Warping transform is limited by the ideal waveguide and cannot handle the real marine environment localization of structures with variable sound speed profiles. …”
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Transformation of Coordinates of Boundary Points of Neighboring Mining Areas Using an Authorial Procedure Based on the Method of Independent Models—A Case Study by Monika Żogała, Violetta Sokoła-Szewioła, Marian Poniewiera

“…This problem was the focus of the research carried out by the authors. An authorial transformation procedure has been developed based on the method of independent models, which makes it possible to obtain the equal coordinates of identical boundary points using the transformation procedure. …”
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Oral history methods can reveal drivers of landscape transformation: Understanding land‐use legacies with local and traditional knowledge in Central Europe by Marianna Biró, Krisztina Molnár, Kinga Öllerer, Réka Szilágyi, Dániel Babai, Csaba Molnár, Zsolt Molnár

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Preliminary application of a cervical vertebra segmentation method based on Transformer and diffusion model for lateral cephalometric radiographs in orthodontic clinical practice by LIU Yang, WU Mengyi, HU Yao, QI Kun, WANG Yubin, ZHAO Yue, SONG Jinlin

“…Compared with U-Net and SOLOv2, the proposed method also showed higher stability and robustness in processing complex, low-contrast and blurred-boundary images, and was able to accurately segment the cervical vertebrae with clear boundaries and complete structures.Conclusion·The Transformer-based diffusion model for cervical vertebra segmentation can enhance the edge and texture features in cervical vertebra images and recognize the boundaries of different vertebrae more easily. …”
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Influence of microbiological risks associated with spore-forming microflora on the quality and storability of butter from different production methods by G. M. Sviridenko, M. B. Zakharova, E. V. Topnikova

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Immersive Virtual Reality and AI (Generative Pretrained Transformer) to Enhance Student Preparedness for Objective Structured Clinical Examinations: Mixed Methods Study by Shaniff Esmail, Brendan Concannon

“…The VR used artificial intelligence in the form of a generative pretrained transformer to generate responses from virtual patients as students interacted with them in natural language. …”
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A Comprehensive Model and Numerical Study of Shear Flow in Compressible Viscous Micropolar Real Gases by Nelida Črnjarić, Ivan Dražić

“…Two numerical methods, Faedo–Galerkin approximation and finite-difference methods, are used to solve it. …”
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A green synthetic method for cobalt(II,III) oxide nanoparticles with high surface activity by Ya. Absalan, R. Alabada, M. R. Razavi, M. Gholizadeh, O. V. Avramenko, I. N. Bychkova, O. V. Kovalchukova

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MHD Maxwell nanofluid flow over a porous conical surface: A fractional approach by D.S. Swetha, K.R. Madhura, Babitha, Irfan Anjum Badruddin, Sarfaraz Kamangar, Abdul Azeem Khan

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Estimation of Copula Density Using the Wavelet Transform by Fatimah Hashim Falhi, Munaf Yousif Hmood

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Fast and Accurate Detection of Forty Types of Fruits and Vegetables: Dataset and Method by Xiaosheng Bu, Yongfeng Wu, Hongtai Lv, Youling Yu

“…However, existing detection methods typically focus on identifying a single type of fruit or vegetable and are not equipped to handle complex and diverse environments. …”
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K-Complex Detection Based on Synchrosqueezing Transform by Z. Ghanbari, M. H. Moradi

“…SST is an EMD-like tool, which benefits from wavelet transform and reallocation approaches.This method is able to decompose signals into their time-varying oscillatory ingredients. …”
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Readiness of health posts for primary health care integration in Indonesia: a mixed-methods study by Ririn Setiaasih, Deni Kurniadi Sunjaya, Yulia Sofiatin, Irvan Afriandi, Lukman Hilfi, Dewi Marhaeni Diah Herawati

“…The study aims to assess the HP’s readiness to implement this transformation. Method A sequential exploratory mixed-method design was used. …”
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Towards Automated Chicken Monitoring: Dataset and Machine Learning Methods for Visual, Noninvasive Reidentification by Daria Kern, Tobias Schiele, Ulrich Klauck, Winfred Ingabire

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A Target Tracking Method Based on a Pyramid Channel Attention Mechanism by Dongxuan Zhao, Yunsong Li, Jiaxing Li, Xiping Duan, Ning Ma, Yuhe Wang

“…To enhance the tracking performance of transformer-based trackers in complex scenes, we propose a novel visual object tracking method that incorporates three key components: a pyramid channel attention mechanism, a hierarchical cross-attention structure, and an attention-guided multi-layer perceptron. …”
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Three-Dimensional Axisymmetric Analysis of Annular One-Dimensional Hexagonal Piezoelectric Quasicrystal Actuator/Sensor with Different Configurations by Yang Li, Yang Gao

“…Subsequently, the propagator matrix method and inverse Hankel transform are used together to achieve the exact axisymmetric solution for the annular one-dimensional hexagonal piezoelectric quasicrystal actuator/sensor. …”
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Research on Model Reconstruction Methods for Partial Point Cloud Information Loss by Zhengping CHANG, Guoshuai YUAN, Jiuhua LI, Yang ZHAO, Zhongqi WANG

“…Therefore, research on model reconstruction methods without local point clouds is essential. This study proposes a Laplace mesh transformation method to deform the theoretical triangular mesh based on the scanned area. …”
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Transformations of planning rationales by Verena Balz, Wil Zonneveld

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LCAT: A Lightweight Color-Aware Transformer With Hierarchical Attention for Leaf Disease Classification in Precision Agriculture by Parkpoom Chaisiriprasert, Khachonkit Chuiad

“…This research proposes a novel deep learning-based method for classifying leaf diseases using a dataset of 21,733 images across six distinct disease categories. …”
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