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  1. 1201

    A Hybrid Machine Learning Model for Accurate Autism Diagnosis by Durga Prasad Kavadi, Venkata Rami Reddy Chirra, Palacharla Ravi Kumar, Sai Babu Veesam, Sagar Yeruva, Lalitha Kumari Pappala

    Published 2024-01-01
    “…The healthcare industry faces significant challenges in managing and processing large volumes of unstructured, real-time medical data. …”
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  2. 1202

    Geospatial intelligence and multi-criteria analysis for mapping groundwater potential zones and sustainable resource management in Wadi Qena Basin, Eastern Desert, Egypt by El-Taher M. M. Shams, Rashad Sawires, Sahar N. E. Tawfiq, Hanaa R. Youssef, Wenzhao Li, Hesham El-Askary

    Published 2025-05-01
    “…Over the past few decades, population growth, urbanization, and agricultural activities—particularly in developing countries like Egypt—have greatly increased the demand for water supplies. …”
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  3. 1203

    MHRA-MS-3D-ResNet-BiLSTM: A Multi-Head-Residual Attention-Based Multi-Stream Deep Learning Model for Soybean Yield Prediction in the U.S. Using Multi-Source Remote Sensing Data by Mahdiyeh Fathi, Reza Shah-Hosseini, Armin Moghimi, Hossein Arefi

    Published 2024-12-01
    “…Our model employs a multi-stream architecture to process diverse data types concurrently, capturing complex spatio-temporal features effectively. …”
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  4. 1204

    Net2Brain: a toolbox to compare artificial vision models with human brain responses by Domenic Bersch, Domenic Bersch, Martina G. Vilas, Martina G. Vilas, Sari Saba-Sadiya, Timothy Schaumlöffel, Timothy Schaumlöffel, Kshitij Dwivedi, Christina Sartzetaki, Radoslaw M. Cichy, Radoslaw M. Cichy, Radoslaw M. Cichy, Gemma Roig, Gemma Roig

    Published 2025-05-01
    “…By simplifying model selection, data processing, and evaluation, Net2Brain empowers researchers to conduct more robust, flexible, and reproducible investigations of the relationships between artificial and biological neural representations.…”
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    Article
  5. 1205

    Digital Transformation in Water Utilities: Status, Challenges, and Prospects by Neil S. Grigg

    Published 2025-06-01
    “…Their digital transformation journeys are evident in business practices, operations, and asset management, including methods like decision support systems, SCADA systems, digital twins, and process optimization. …”
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    Library and Information Education in the Digital Age: Students’ Expectations by E. Yu. Kozlenko, N. Yu. Vaytsekhovich

    Published 2022-07-01
    “…In the courses taught at the Faculty of Information and Document Communications, students would like to focus on remote user service, programming, data analytics, digital technologies, neural networks, nanotechnologies, digital marketing, web design basics, the creation and design of electronic resources, the basics of working with graphic editors and other. …”
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  9. 1209
  10. 1210

    Exploring the active chemical compounds and pharmacological effects of Artemisia Argyi leaves through commonality, authenticity and aging by Boyu Chen, Jiaxin Liu, Xu Dai, Lufan Xu, Wenying Cui, Rouan Chen, Tian Lan, Yiider Tseng

    Published 2025-11-01
    “…Purpose: Hence, this study aims to extract key bioactive compounds contributing to its medicinal properties by performing data mining from literature. Three criteria, commonality, authenticity and aging, are applied to identify the common compounds across different regions; the superior compounds unique to the authentic Qichun A. argyi leaves; and the distinctive compounds emerging during the aging process. …”
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  11. 1211

    Using fuzzy decision support to create a positive mental health environment for preschoolers by Xinyue Li

    Published 2025-04-01
    “…Future work should explore integrating real-time data collection methods like wearable devices or mobile applications to gather more comprehensive and dynamic behavioural data.…”
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  15. 1215

    The application of a tool for supporting shared decision making in primiparous women during early labour – a descriptive survey of obstetric health care professionals’ opinion by Antonia N. Mueller, Susanne Grylka-Baeschlin

    Published 2024-12-01
    “…Midwives with greater work experience (OR 0.82, p = 0.02) and a higher workload (OR 0.97, 0.02) were less likely to agree that the tool facilitates their work organisation. …”
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  16. 1216

    Implementing large language model and retrieval augmented generation to extract geographic locations of illicit transnational kidney trade by Zifu Wang, Meng-Hao Li, Patrick Baxter, Olzhas Zhorayev, Jiaxin Wei, Valerie Kovacs, Qiuhan Zhao, Chaowei Yang, Naoru Koizumi

    Published 2025-04-01
    “…The final database also demonstrated that developing countries were more likely to be a host of kidney sellers while that played by developed countries was a host of kidney buyers. …”
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  17. 1217

    CNN-Based Optimization for Fish Species Classification: Tackling Environmental Variability, Class Imbalance, and Real-Time Constraints by Amirhosein Mohammadisabet, Raza Hasan, Vishal Dattana, Salman Mahmood, Saqib Hussain

    Published 2025-02-01
    “…Eight CNN architectures, including DenseNet121, MobileNetV2, and Xception, were compared alongside traditional classifiers like support vector machines (SVMs) and random forest. …”
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  18. 1218
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    Monitoring and early warning of ovarian cancer using high-dimensional non-parametric EWMA control chart based on sliding window by Bin Wu, Wen Zhong, Yixing Ren, Zhongli Zhou, Liu Liu

    Published 2025-03-01
    “…This control chart not only monitors data with unknown underlying distributions but is also applicable to high-dimensional data, allowing for monitoring without dimensionality reduction, thus simplifying the process and avoiding information loss. …”
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  20. 1220

    Investigation of construction waste material using multi criteria decision making method: a case study in Bhutan by Khameis Mohamed Al Abdouli, Mon Bdr Sinchuri, Nima Yoezer, Nima Pakhring, Anju Chhetri, Nimesh Chettri

    Published 2025-01-01
    “…Using a fuzzy analytic hierarchy process, a MCDA technique was calculated to weight the scores for the factors like frequency in occurrence, environmental impacts, and recyclability. …”
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