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  1. 421

    Use of childhood adversity and mental health admission patterns to predict suicide in young people by Anna Tarasenko, Dennis Ougrin

    Published 2025-07-01
    “…Limitations of machine learning models include recent changes in healthcare use patterns during the COVID-19 pandemic and poor long-term predictive value.…”
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  2. 422
  3. 423

    Big Data Analytics for Uncovering Voxel Connectivity Patterns in Attention Deficit Hyperactivity Disorder by Caraka RE, Supardi K, Gio PU, Isnaniawardhani V, Chen RC, Djatmiko B, Pardamean B

    Published 2025-07-01
    “…The integration of machine learning models demonstrated improved classification accuracy, with ReLU-based neural networks outperforming others in most evaluation metrics.Discussion: The study demonstrates the potential of a robust, integrated machine learning framework to analyze high-dimensional neuroimaging data and identify biologically relevant markers of ADHD. …”
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  4. 424

    Detecting Unusual Repetitive Patterns of Behavior Indicative of a Loop-Based Attack in IoT by Asmaa Munshi

    Published 2024-11-01
    “…This research extracted loop-based cases from the transmission session dataset of “CTU-IoT-Malware-Capture-7-1” (“Linux, Mirai”) and implemented a loop-based detection machine learning approach. The research employed nine machine learning models to illustrate how the loop patterns of the datasets can facilitate detection. …”
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    Identification of S1 and S2 Heart Sound Patterns Based on Fractal Theory and Shape Context by Ana Gavrovska, Goran Zajić, Vesna Bogdanović, Irini Reljin, Branimir Reljin

    Published 2017-01-01
    “…The analysis of heart sound patterns is performed using support vector machine classifier showing promising results (above 95% accuracy). …”
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  7. 427

    Detecting Fraudulent Transactions for Different Patterns in Financial Networks Using Layer Weigthed GCN by Shaziya Islam, Gagan Raj Gupta, Apu Chakraborty, Santosh Singh, Anisha Soni, Chhavi Patle

    Published 2025-04-01
    “…To evaluate its effectiveness, we compare LayerWeighted-GCN against classical machine learning models and traditional GNNs on the SIFT dataset. …”
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    Transcriptomics profiling of Parkinson’s disease progression subtypes reveals distinctive patterns of gene expression by Carlo Fabrizio, Andrea Termine, Carlo Caltagirone

    Published 2025-09-01
    “…Notably, two subtypes displayed opposite expression patterns for pathways involved in immune response alterations. …”
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  12. 432

    Advancing Traditional Dunhuang Regional Pattern Design with Diffusion Adapter Networks and Cross-Entropy by Yihuan Tian, Tao Yu, Zuling Cheng, Sunjung Lee

    Published 2025-05-01
    “…To promote the inheritance of traditional culture, a variety of emerging methods rooted in machine learning and deep learning have been introduced. …”
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  13. 433

    Fuzzy clustering of 24-2 visual field patterns can detect glaucoma progression. by Hwayeong Kim, Sangwoo Moon, Joohwang Lee, EunAh Kim, Sang Wook Jin, Jung Lim Kim, Seung Uk Lee, Jinmi Kim, Seungtae Yoo, Jiwon Lee, Giltae Song, Jiwoong Lee

    Published 2024-01-01
    “…<h4>Methods</h4>In this multicenter retrospective study, we classified characteristic patterns of 24-2 VF using AA and decomposed them with FCM clustering. …”
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  14. 434

    A Comprehensive Monte Carlo-Simulated Dataset of WAXD Patterns of Wood Cellulose Microfibrils by Ricardo Baettig, Ben Ingram

    Published 2025-03-01
    “…It enables the development, validation, and benchmarking of novel algorithms and machine learning models for MFA prediction from diffraction patterns. …”
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  15. 435

    Convolutional Neural Networks for Real Time Classification of Beehive Acoustic Patterns on Constrained Devices by Antonio Robles-Guerrero, Salvador Gómez-Jiménez, Tonatiuh Saucedo-Anaya, Daniela López-Betancur, David Navarro-Solís, Carlos Guerrero-Méndez

    Published 2024-10-01
    “…Recent research has demonstrated the effectiveness of convolutional neural networks (CNN) in assessing the health status of bee colonies by classifying acoustic patterns. However, developing a monitoring system using CNNs compared to conventional machine learning models can result in higher computation costs, greater energy demand, and longer inference times. …”
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    Identifying monthly rainfall erosivity patterns using hourly rainfall data across India by Subhankar Das, Manoj Kumar Jain, Karl Auerswald, Carlos Rogerio de Mello, Peter Molnar

    Published 2025-07-01
    “…This study presents a comprehensive analysis of the spatial patterns and monthly distribution of rainfall erosivity across India, using data from 261 hourly and 2,525 monthly rainfall stations covering the period from 1969 to 2021. …”
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  19. 439

    LeafLaminaMap: Exploring Leaf Color Patterns Using RGB Color Indices by Péter Bodor-Pesti, Lien Le Phuong Nguyen, Thanh Ba Nguyen, Mai Sao Dam, Dóra Taranyi, László Baranyai

    Published 2025-02-01
    “…Pigmentation and its pattern provide the possibility to distinguish genotypes and a basis for annual crop management practices. …”
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