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  1. 681

    SEE: A Method for Predicting the Dynamics of Chromatin Conformation Based on Single‐Cell Gene Expression by Minghong Li, Yurong Yang, Rucheng Wu, Haiyan Gong, Zan Yuan, Jixin Wang, Erping Long, Xiaotong Zhang, Yang Chen

    Published 2025-02-01
    “…Here, SEE is introduced, an artificial intelligence (AI) method that utilizes autoencoder and transformer techniques to analyze chromatin dynamics using single‐cell RNA sequencing data and a limited number of single‐cell Hi‐C maps. …”
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  2. 682

    UCrack-DA: A Multi-Scale Unsupervised Domain Adaptation Method for Surface Crack Segmentation by Fei Deng, Shaohui Yang, Bin Wang, Xiujun Dong, Siyuan Tian

    Published 2025-06-01
    “…Additionally, by integrating a Mix-Transformer encoder, a multi-scale dilated attention module, and a mixed convolutional attention decoder, we effectively solve the challenges of cross-domain data distribution differences and complex scene crack segmentation. …”
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  3. 683
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    TAL-SRX: an intelligent typing evaluation method for KASP primers based on multi-model fusion by Xiaojing Chen, Xiaojing Chen, Jingchao Fan, Jingchao Fan, Shen Yan, Longyu Huang, Longyu Huang, Longyu Huang, Guomin Zhou, Guomin Zhou, Jianhua Zhang, Jianhua Zhang

    Published 2025-02-01
    “…The performance of the TAL-SRX method is the best when compared with the different integrated combinations of methods. …”
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  5. 685

    Fast Adaptive Sparse Iterative Reweighted Super-Resolution Method for Forward-Looking Radar Imaging by Jiawei Luo, Yulin Huang, Ruitao Li, Deqing Mao, Yongchao Zhang, Yin Zhang, Jianyu Yang

    Published 2024-01-01
    “…First, we establish the super-resolution model of forward-looking radar and analyze the user parameter selection problem in the conventional <inline-formula><tex-math notation="LaTeX">$L_{1}$</tex-math></inline-formula>-IRN method. Second, based on Bayesian theory, adaptive iterative weights of different azimuths are derived by transforming the sparse estimation problem into a maximum posterior (MAP) estimation problem. …”
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  6. 686

    SLAM-based localization method of coal mine underground robot with adaptability to dark illumination environment by Song JIANG, Zhixiang CUI, Bibo DAI, Binjian RAO, Runfeng HE, Haoyu WANG

    Published 2025-05-01
    “…But most of the traditional localizing methods are inefficient or even ineffective in the underground. …”
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  7. 687

    A multi-source data fusion method for distribution network based on improved evidence theory by LOU Zheng, LIU Meizhao, JING Dongsheng, BAI Rui, LI Heting

    Published 2025-05-01
    “…A multi-source heterogeneous data processing method for distribution network based on Box Cox transformation Z-score is proposed to improve the data offset problem in the Z-score normalization process by introducing Box Cox transformation. …”
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  8. 688

    A method for intelligent information extraction of coal fractures based on µCT and deep learning by Zhazha HU, Xun ZHANG, Yi JIN, Linxian GONG, Wenhui HUANG, Jianji REN, Norbert Klitzsch

    Published 2025-02-01
    “…First, the µCT images of coal samples were preprocessed, including improving the image quality using the difference method and increasing the sample size using data augmentation techniques. …”
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  9. 689

    Exploration of soliton solutions of the nonlinear Kraenkel-Manna-Merle system using innovative methods in ferromagnetic materials by Bahadır Kopçasız, Fatma Nur Kaya Sağlam, Homan Emadifar, Karim K. Ahmed

    Published 2025-07-01
    “…The results show that these methods are dependable, simple to use, and effective when analyzing different nonlinear models that are encountered in mathematical sciences and engineering. …”
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  10. 690
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    K-Complex Detection Based on Synchrosqueezing Transform by Z. Ghanbari, M. H. Moradi

    Published 2017-12-01
    “…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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  12. 692

    Investigation on Dimensionality Reduction methods for Tree-Crown Segmentation in Hyperspectral imagery using Segment Anything Model by R. Ravindran, Y. Treitz, D. Iwaszczuk

    Published 2025-07-01
    “…With an average F1-score of 0.26, some methods achieved up-to 0.38 at specific sites. The results varied between sites due to different density and tree types in the image data. …”
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  13. 693

    Genetic Transformation in Citrus by Dicle Donmez, Ozhan Simsek, Tolga Izgu, Yildiz Aka Kacar, Yesim Yalcin Mendi

    Published 2013-01-01
    “…In this review, we illustrate how different gene transformation methods can be employed in different citrus species.…”
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  14. 694

    Effect of Manipulation Methods and Storage Environments on the Microstructural, Chemical, and Mechanical Properties of Calcium-Enriched Mixture Cement by Leyla Roghanizadeh, Hassan Torabzadeh, Ardavan Parhizkar, Alireza Akbarzadeh Baghban, Saeed Asgary

    Published 2025-01-01
    “…This study aimed to evaluate the impact of different manipulation methods and storage environments on the microstructural, chemical, and mechanical properties of calcium-enriched mixture (CEM) cement. …”
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  15. 695

    Denoise Digital Images Depending on Contourlet Transform by Khalil Al-Saif, Ahmed Saleh

    Published 2010-12-01
    “…In this paper a new, proposed way to denoise an image under the impact of different types of noise experienced by the image acquired during media, where the reliance on contourlet transform because of their ability to maintain the edges in the image(high-high frequency)in addition to its potential to capture information <strong>smooth contours</strong>, which is one of the most important information that must be maintained by the methods of restoration to get to an estimate of the original image. …”
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    ΜΑPPING SUSTAINABILITY ASSESSMENT METHODS IN AGRI-FOOD SUPPLY CHAINS: A CIRCULAR ECONOMY PERSPECTIVE by Vasiliki A. GKOUNTANI, Giannis T. TSOULFAS, Yannis MOUZAKITIS

    Published 2022-01-01
    “…This paper adopts a circular economy perspective and discusses the afore-mentioned methods with respect to their potential to depict the transformation of the current inefficient, wasteful, and linear production and consumption model.…”
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