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    Research Trends of Artificial Intelligence in Lung Cancer: A Combined Approach of Analysis With Latent Dirichlet Allocation and HJ-Biplot Statistical Methods by Javier De La Hoz-M, Karime Montes-Escobar, Viorkis Pérez-Ortiz

    Published 2024-01-01
    “…A growing interest in AI applications in LC oncology was observed, reflected in a significant increase in publications, especially after 2017, coinciding with the availability of computing resources. Frontiers in Oncology leads in publishing AI-related LC research, reflecting rigorous investigation in the field. …”
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  3. 963

    Machine Learning for Resilient and Sustainable Cities: A Bibliometric Analysis of Smart Urban Technologies by Bin Luan, Xinqun Feng

    Published 2025-03-01
    “…This study aims to conduct a bibliometric analysis of the published research in the fields of smart cities and machine learning, using visualization techniques to reveal the spatiotemporal distribution patterns, research hotspots, and collaborative network structures. …”
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  4. 964

    Development of an Automated Management System for Agricultural Technologies in Horticulture by D. O. Khort, A. I. Kutyrev, I. G. Smirnov, I. V. Voronkov

    Published 2021-06-01
    “…The web application used the Model View Controller design pattern, and Bootstrap as the css framework. Data visualization from the database was carried out using cloud technology, placing the site using a set of Internet Information Services. …”
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  5. 965

    Using the TSA-LSTM two-stage model to predict cancer incidence and mortality. by Rabnawaz Khan, Wang Jie

    Published 2025-01-01
    “…TSA-LSTM Two-stage attention design a popular tool with advanced visualization functions, Tableau, simplifies this paper's study. …”
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    Materialese as Border Thinking: The Multimodal Voice of Bilingual Learning Materials by Yeraldine Aldana

    Published 2019-06-01
    “…Data collection instruments were images or visual data along with field notes taken during the application of the didactic resource in a simulated experience. …”
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    Opportunity, Challenges and Approaches of Multivariate Diversity Analysis for Quantitative Traits of Pulse Crops: A Review by Nuru Seid TEHULIE, Fikru MEKONNEN, Agegnehu MEKONNEN, Ahmed HASSEN, Semira EBRAHIM, Solomon ABEBE

    Published 2025-05-01
    “…This underscores the necessity for a shift in plant breeding approaches, focusing on expanding the genetic resources utilized. Genetic diversity is widely recognized as a key factor in ensuring food and nutritional security. …”
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    Enhancing Engineering and STEM Education With Vision and Multimodal Large Language Models to Predict Student Attention by Luis Marquez-Carpintero, Diego Viejo, Miguel Cazorla

    Published 2025-01-01
    “…Generative Artificial Intelligence (AI) and Large Language Models (LLMs), including Visual Language Models (VLMs) and Multimodal LLMs (MLLMs), have shown transformative potential in education. …”
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    Hybrid Capsule Network for precise and interpretable detection of malaria parasites in blood smear images by Bader Alawfi

    Published 2025-08-01
    “…Experimental results demonstrate up to 100% accuracy in multiclass classification and consistent improvements over baseline CNN architectures in cross-dataset evaluations. Grad-CAM visualizations confirm that the model focuses on biologically relevant parasite regions, validating interpretability.DiscussionThe proposed framework delivers a pragmatic and interpretable solution for malaria diagnosis, balancing high accuracy with minimal computational requirements, and demonstrates strong potential for deployment in real-world, resource-limited clinical environments.…”
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  18. 978

    Feasibility, Challenges and Lessons Learned: Photovoice Implementation Among Young Women in the Urban Slums in Kampala, Uganda by Monica H. Swahn, Anna Nabulya, Jacqueline Nassaka, Jane Palmier

    Published 2025-02-01
    “…Photovoice is an established, qualitative participatory method for visualizing and deconstructing complex topics and research questions. …”
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    Sustainable Farming: Insights from Data Clustering by A. Akhmetkyzy, N. N. Nurmukhametov, M. N. Nurgabylov

    Published 2024-04-01
    “…Some groups demonstrate high satisfaction and effectiveness, indicating successful integration of sustainable methods, while others show skepticism and challenges, possibly due to economic constraints or lack of access to resources and knowledge. The economic interpretation of these clusters suggests that varying levels of resource availability, technological access, and knowledge dissemination influence differences in the adoption of sustainable practices. …”
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    Sorting Out the Perception of Medical Teachers Regarding Family Adoption Program: A Qualitative Inquiry by Diptakanti Mukhopadhyay, Kajari Bandyopadhyay, Soumalya Ray

    Published 2025-01-01
    “…Collected data were analyzed using visual Anthropac software. Results: The response rate was 90% (45/50). …”
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