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  1. 221

    Analysis of Coastline Changes in Zhanjiang Bay from 1973 to 2023 by Guan Zhuoqiang, Li Junyi, Xie Lingling, Zheng Quan'an, Ye Xiaomin

    Published 2024-11-01
    “…Additionally, shoreline complexity changes were explored, and Gross Domestic Product (GDP) was introduced for the correlation analysis of shoreline indicators. …”
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  2. 222

    Unsupervised Anomaly Detection in Hyperspectral Imaging: Integrating Tensor Robust Principal Component Analysis With Autoencoding Adversarial Networks by Atsuya Emoto, Ryo Matsuoka

    Published 2025-01-01
    “…However, detecting anomalies in HS images, especially in complex scenes, remains challenging. …”
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  3. 223

    Optimizing Infectious Disease Diagnostics through AI–Driven Hybrid Decision Making Structures based on Image Analysis by Ahsan Muhammad, Damaševičius Robertas, Shahzad Sarmad

    Published 2024-09-01
    “…This research utilizes three AI-based decision-making techniques to refine diagnostic processes through the analysis of medical imagery. The goal is achieved by developing a mathematical model that identifies potential infectious diseases from medical images, adopting a multi-criteria decision-making approach. …”
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  4. 224
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    Comparative Analysis of Traditional and Deep Learning Approaches for Underwater Remote Sensing Image Enhancement: A Quantitative Study by Yunsheng Ma, Yanan Cheng, Dapeng Zhang

    Published 2025-04-01
    “…The physical model, based on the Jaffe–McGlamery model, integrates multi-scale histogram equalization, wavelength compensation, and Laplacian sharpening, using cluster analysis to target enhancements. It performs well in shallow, stable waters (turbidity < 20 NTU, depth < 10 m, PSNR = 12.2) but struggles in complex environments (turbidity > 30 NTU). …”
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  6. 226

    Improving Wind Turbine Gearbox Reliability: A Hybrid Deep Learning Approach Using Bispectrum Image Analysis by Muhammad Zacky Asy'Ari, Jun Kondoh, Benyamin Kusumoputro

    Published 2025-01-01
    “…This superior performance is attributed to the CNN-BiLSTM&#x2019;s ability to discern bidirectional temporal patterns within the bispectrum image data, effectively capturing the complex dynamics of gearbox failures. …”
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  7. 227

    Research on intelligent classification of coastal land cover by integrating remote sensing images and deep learning by Xinhao Lin, Junmiao Hei, Yixiao Wang, Ang Zhang

    Published 2025-07-01
    “…With the increasing availability of remote sensing images, leveraging advanced machine learning methods, such as deep learning, has become pivotal in improving classification accuracy. …”
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  8. 228
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    An Efficient Weed Detection Method Using Latent Diffusion Transformer for Enhanced Agricultural Image Analysis and Mobile Deployment by Yuzhuo Cui, Yingqiu Yang, Yuqing Xia, Yan Li, Zhaoxi Feng, Shiya Liu, Guangqi Yuan, Chunli Lv

    Published 2024-11-01
    “…This paper presents an efficient weed detection method based on the latent diffusion transformer, aimed at enhancing the accuracy and applicability of agricultural image analysis. The experimental results demonstrate that the proposed model achieves a precision of 0.92, a recall of 0.89, an accuracy of 0.91, a mean average precision (mAP) of 0.91, and an F1 score of 0.90, indicating its outstanding performance in complex scenarios. …”
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  10. 230
  11. 231

    Phenotyping Nontuberculous Mycobacterial Lung Disease: Comparative Analysis of Clinical and Imaging Features in a TB-Endemic Setting by Feng Y, Guo J, Luo S, Zhang Z

    Published 2025-07-01
    “…Yinping Feng, Jing Guo, Shuirong Luo, Zunjing Zhang Department of Tuberculosis, Lishui Hospital of Traditional Chinese Medicine Affiliated to Zhejiang University of Traditional Chinese Medicine, Lishui Tuberculosis Clinical Medical Research Center, Lishui, Zhejiang, People’s Republic of ChinaCorrespondence: Zunjing Zhang, Email zjzhang1979@126.comObjective: To systematically analyze clinical features and imaging characteristics of nontuberculous mycobacterial pulmonary disease (NTM-PD) patients in a tuberculosis specialty setting, establishing diagnostic and management references.Methods: We conducted a retrospective analysis of 204 NTM-PD cases admitted to our tuberculosis department from January 2018 to December 2023, evaluating clinical manifestations, mycobacterial speciation, and radiological patterns.Results: The cohort comprised 118 males and 86 females (mean age 65.34 ± 13.23 years), predominantly rural residents (63.24%). …”
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  12. 232

    Image-based machine learning and cluster analysis for urban road network: employing Orange for codeless visual programming by Zuo Zhang, Mengwei Zhang, Xiangxiang Song, Zhi Li

    Published 2025-05-01
    “…In this study, we constructed an analytical framework that leveraged road network image recognition, multi-scale influence factors analysis, and predictions using codeless visual programming. …”
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  13. 233

    Volumetric Analysis of the Jaws in Skeletal Class I and III Patients with Different Facial Divergence Using CBCT Imaging by Rama Yasser Alhawasli, Mowaffak A Ajaj, Mohammad Younis Hajeer, Assil Mohammad Raef Al-Zahabi, Luai Mahaini

    Published 2022-01-01
    “…Materials and Methods. 80 CBCT images of patients between 18 and 32 years of age were taken with one CBCT imaging device (Scanora 3D®, Soredex, Tuusula, Finland). …”
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  15. 235

    Early Diabetic Retinopathy Detection from OCT Images Using Multifractal Analysis and Multi-Layer Perceptron Classification by Ahlem Aziz, Necmi Serkan Tezel, Seydi Kaçmaz, Youcef Attallah

    Published 2025-06-01
    “…In parallel, machine learning has shown considerable promise in supporting early disease recognition by uncovering complex and often imperceptible patterns in image data. …”
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    AgriSenAI: Automating UAV thermal and multispectral image processing for precision agriculture by Boaz B. Tulu, Fitsum Teshome, Yiannis Ampatzidis, Niguss Solomon Hailegnaw, Haimanote K Bayabil

    Published 2025-05-01
    “…However, processing and extracting useful information from UAV images is often complex, time-consuming, and requires specialized software, which limits its broader adoption for practical field implementations. …”
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  20. 240

    Image Analysis for MRI Based Brain Tumor Detection and Feature Extraction Using Biologically Inspired BWT and SVM by Nilesh Bhaskarrao Bahadure, Arun Kumar Ray, Har Pal Thethi

    Published 2017-01-01
    “…In this study, to improve the performance and reduce the complexity involves in the medical image segmentation process, we have investigated Berkeley wavelet transformation (BWT) based brain tumor segmentation. …”
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