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681
SEE: A Method for Predicting the Dynamics of Chromatin Conformation Based on Single‐Cell Gene Expression
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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682
UCrack-DA: A Multi-Scale Unsupervised Domain Adaptation Method for Surface Crack Segmentation
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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683
Straightness control method of hydraulic support group pushing system based on neural network compensation
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684
TAL-SRX: an intelligent typing evaluation method for KASP primers based on multi-model fusion
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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685
Fast Adaptive Sparse Iterative Reweighted Super-Resolution Method for Forward-Looking Radar Imaging
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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686
SLAM-based localization method of coal mine underground robot with adaptability to dark illumination environment
Published 2025-05-01“…But most of the traditional localizing methods are inefficient or even ineffective in the underground. …”
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687
A multi-source data fusion method for distribution network based on improved evidence theory
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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688
A method for intelligent information extraction of coal fractures based on µCT and deep learning
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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689
Exploration of soliton solutions of the nonlinear Kraenkel-Manna-Merle system using innovative methods in ferromagnetic materials
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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K-Complex Detection Based on Synchrosqueezing Transform
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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692
Investigation on Dimensionality Reduction methods for Tree-Crown Segmentation in Hyperspectral imagery using Segment Anything Model
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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693
Genetic Transformation in Citrus
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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694
Effect of Manipulation Methods and Storage Environments on the Microstructural, Chemical, and Mechanical Properties of Calcium-Enriched Mixture Cement
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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695
Denoise Digital Images Depending on Contourlet Transform
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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Deep learning methods for clinical workflow phase-based prediction of procedure duration: a benchmark study
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ΜΑPPING SUSTAINABILITY ASSESSMENT METHODS IN AGRI-FOOD SUPPLY CHAINS: A CIRCULAR ECONOMY PERSPECTIVE
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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