Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

“…GIS mapping is widely used in geological mapping as the most adequate technical tool for data visualization and analysis. GIS applications encourage geological prospective modeling by visualizing data aimed at the prognosis of mineral resources. …”
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Insulinoma- how to localize the tumor? by Kiković Saša, Tavčar Ivan, Dragović Tamara, Ristić Petar, Karajović Jelena, Marinković Dejan, Perišić Nenad, Rusović Siniša, Hajduković Zoran

“…For three patients, none of these methods was successful. ASVS revealed that all seen tumors were functional except three of the six visualized with two methods (US and EUS). …”
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Tren Penelitian tentang Galleries, Libraries, Archives dan Museums (GLAM): Analisis Bibliometrik by Rona Putra, Redi Aswari

“…This research uses a literary observation method with bibliometric analysis. Data was collected using the Publish or Perish application from the Scopus database between 2010 and 2024 which was then visualized using VosViewer application. …”
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Research on the Virtual Monitoring System for Double-sided Grinding Based on Digital Twin by HU Zhongwei, LI Xianbao, BAI Zipan, LAI Zhiyuan

“…Focusing on the double-sided grinding process, this study investigates the visualization monitoring technology of digital twin and the integration method of physical rules, and develops a virtual monitoring system based on digital twin. …”
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On Efficient DCT Type-I Based Low Complexity Channel Estimation for Uplink NB-IoT Systems by Md. Sadek Ali, Md. Shariful Islam, Muhammad Asif, Wali Ullah Khan, Fujiang Lin, Omer Waqar

“…Thus, channel estimation methods extensively employed in LTE systems may not be applied to the NB-IoT uplink systems. …”
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Simultaneous MRI and laser Doppler Flowmetry: Assessing cerebral Macro- and microcirculation in neurointensive care by Sofie Tapper, Stina Mauritzon, Marcelo P. Martins, Fredrik Ginstman, Anders Tisell, Peter Zsigmond, Karin Wårdell

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A comprehensive approach to diabetic foot ulcers treatment in patients with anisomelia by A.S. Ivanova, O.K. Melekhovets, I.V. Melekhovets

“…Group 1 received standard therapy, while group 2 received additional interventions, including customized insoles for limb length equalization, plasma therapy, and rehabilitation program. …”
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Information Merging for Improving Automatic Classification of Electrical Impedance Mammography Images by Jazmin Alvarado-Godinez, Hayde Peregrina-Barreto, Delia Irazú Hernández-Farías, Blanca Murillo-Ortiz

“…Each method enhances the representation of tissue features, optimizing the image quality and diagnostic utility. …”
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Non-Destructive Detection of Pomegranate Blackheart Disease via Near-Infrared Spectroscopy and Soft X-ray Imaging Systems by Rongke Nie, Xingyi Huang, Xiaoyu Tian, Shanshan Yu, Chunxia Dai, Xiaorui Zhang, Qin Fang

“…Pomegranate blackheart disease, as an internal disease affecting the global pomegranate industry, is difficult to identify externally and urgently requires non-destructive detection methods for rapid diagnosis. This study established discriminative models for blackheart disease severity in pomegranates by using near-infrared (NIR) spectroscopy and soft X-ray imaging techniques. …”
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Advanced clustering and transfer learning based approach for rice leaf disease segmentation and classification by Samia Nawaz Yousafzai, Fahd N. Al-Wesabi, Hadeel Alsolai, Shouki A. Ebad, Inzamam Mashood Nasir, Emad Fadhal, Adel Thaljaoui

“…Comparisons of the proposed method with six fine-tuned models show the performance advantage and validity of the proposed method.…”
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BO-CLAHE enhancing neonatal chest X-ray image quality for improved lesion classification by Jiwon Han, Byungmin Choi, Jae Young Kim, Yeonjoon Lee

“…While various image enhancement methods have been proposed, Contrast Limited Adaptive Histogram Equalization (CLAHE) has been recognized as an effective technique for contrast-based image improvement. …”
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Flexible Configurable Modular Neural Network-Based OFDM Receiver by A. B. Sergienko, P. V. Apalina, A. D. Lebedinskaya

“…To obtain and optimize the structure of an OFDM receiver based on an artificial neural network and consisting of separate modules that can be combined depending on the configuration of the pilot signals and the modulation used.Materials and methods. Computer simulation in the MATLAB environment.Results. …”
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Real-Time Common Rust Maize Leaf Disease Severity Identification and Pesticide Dose Recommendation Using Deep Neural Network by Zemzem Mohammed Megersa, Abebe Belay Adege, Faizur Rashid

“…Conventional CRMD detection and treatment methods are time-consuming, expensive, and ineffective. …”
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The Spatial Effect of Digital Economy Enabling Common Prosperity—An Empirical Study of the Yellow River Basin by Mu Yang, Qiguang An, Lin Zheng

“…The digital economy makes effective use of digital resources and technologies, promotes the equalization of public services, exerts a positive impact on the realization of common prosperity, and consolidates the effect of “dividing a better cake”.…”
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Improved leukocyte classification in bone marrow cytology using convolutional neural network with contrast enhancement by Shahid Mehmood, Tariq Shahzad, Muhammad Zubair, Farman Matloob Khan, Muhammad Adnan Khan, Khmaies Ouahada, Amir H. Gandomi

“…We used transfer learning to speed up the training process empowered with Contrast Limited Adaptive Histogram Equalization (CLAHE) technique to improve image quality and classification accuracy. …”
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Enhanced Brain Tumor Classification Using MobileNetV2: A Comprehensive Preprocessing and Fine-Tuning Approach by Md Atiqur Rahman, Mohammad Badrul Alam Miah, Md. Abir Hossain, A. S. M. Sanwar Hosen

“…Effective glioma, meningioma, and pituitary tumor diagnosis and treatment requires the precise differentiation of these tumors as well as non-tumors for improved clinical outcomes. <b>Methods:</b> Here, we present a new method to classify brain tumors based on the MobileNetV2 architecture with advanced preprocessing for high accuracy. …”
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Rep-MobileViT: Texture and Color Classification of Solid Wood Floors Based on a Re-Parameterized CNN-Transformer Hybrid Model by Anning Duanmu, Sheng Xue, Zhenye Li, Yajun Zhang, Chao Ni

“…Comparative analyses demonstrate that this approach outperforms existing machine learning methods by over 12% in classification accuracy.…”
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Leveraging advanced technologies for early detection and diagnosis of oral cancer: Warning alarm by Saantosh Saravanan, N. Aravindha Babu, Lakshmi T, Mukesh Kumar Dharmalingam Jothinathan

“…For example, skills including Recursive Mean-Separate Histogram Equalization (RMSHE) come in handy in enhancing the resolution of the images and clarity which eventually leads to more accurate lesion identification. …”
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Knee Osteoarthritis Diagnosis: Future and Perspectives by Henri Favreau, Kirsley Chennen, Sylvain Feruglio, Elise Perennes, Nicolas Anton, Thierry Vandamme, Nadia Jessel, Olivier Poch, Guillaume Conzatti

“…However, they present some drawbacks, such as possible interference or the lack of direct visualization of the tissue. Other original methods show strong potential in the field of KOA monitoring, such as electrical bioimpedance or near-infrared spectrometry. …”
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The Integration and Growth of R in Soil Research: A 10‐Year Analysis by Meixiang Gao, Xiujuan Yan, Xin Li, Ye Zheng, Jiangshan Lai

“…ABSTRACT The field of soil science has seen significant advancements in recent years, largely due to the integration of computational tools and statistical methods. Among these resources, the programming language R has emerged as a powerful and versatile platform for soil scientists, aiding in a spectrum of tasks from data analysis and modeling to visualization. …”
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