Showing 701 - 720 results of 2,865 for search 'complex ability analysis', query time: 0.22s Refine Results
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    Exploring illness uncertainty categories in ischemic stroke patients and the relationship with perceived social support: a latent class analysis by Xin Wen, Min Shi, Jie Zhou, Wanfang Yuan, Rong Tang, Ruhui Xu, Wenyi Zhu

    Published 2025-05-01
    “…Logistic regression analysis showed that place of residency, educational level, per capita monthly household income, number of comorbid other chronic diseases, mRS scores, and self-care ability were the factors influencing the latent class of illness uncertainty in stroke patients (p < 0.05). …”
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  3. 703

    A Scalable Framework for Real-Time Network Security Traffic Analysis and Attack Detection Using Machine and Deep Learning by Zineb Maasaoui, Mheni Merzouki, Abdella Battou, Ahmed Lbath

    Published 2025-04-01
    “…This paper presents an advanced framework for real-time monitoring and analysis of network traffic and endpoint security in large-scale enterprises by addressing the increasing complexity and frequency of cyber-attacks. …”
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    Hypoxic preconditioning modulates BDNF signaling to alleviate depression-like behaviors in mice and its whole transcriptome sequencing analysis by Lizhu Chen, Xujie Wang, Xiaoe Jia, Rengui Bade, Xiaolei Liu, Shuyuan Jiang, Yabin Xie, Wei Xie, Manhai Gao, Guo Shao

    Published 2025-05-01
    “…Initially, ICR mice were subjected to HPC, followed by the establishment of a 24-hour restraint stress model to mimic depressive behaviors. Subsequent analysis focused on changes in depressive behaviors, biochemical markers, and the levels of BDNF and its ability to modulate synaptic structure and neurogenesis. …”
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    Promoting well-being in later life - a qualitative analysis of focus groups and individual interviews with older adults in Germany by Evelyn Kleinert, Laura Mohacsi, Lena Stange, Daniel Broschmann, Lisa Nebel, Eva Hummers

    Published 2025-05-01
    “…Audio recordings were transcribed and analyzed using qualitative content analysis with MAXQDA software. Results Three main categories emerged as central to well-being in late life: autonomy, physical and cognitive abilities, and social integration. …”
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  9. 709

    Leveraging hybrid model of ConvNextBase and LightGBM for early ASD detection via eye-gaze analysis by Ranjeet Bidwe, Sashikala Mishra, Simi Bajaj, Ketan Kotecha

    Published 2025-06-01
    “…This research introduces a novel method for eye gaze analysis to identify autistic traits in children. This proposed work offers • A novel method of ConvNextBase and LightGBM leveraging eye position as a feature for early detection of autistic traits. • A new ConvNextBase architecture proposed with few unfreezed layers and extra dense layers with units of 512 and 128, respectively, and dropout layers with a rate of 0.5 that extract rich, high-level, and more complex features from the images to improve generalization and mitigate overfitting. • A LightGBM model performed classification using 3-fold cross-validation and found the best parameters for bagging_function, feature_fraction, max_depth, Number_of_leaves and learning_rate with values of 0.8, 0.8, −1, 31 and 0.1 respectively, to improve the model's robustness on unseen data.This proposed method is trained and tested on the publicly available Kaggle dataset, and results are benchmarked with other state-of-the-art methods. …”
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    An integrative and comprehensive analysis of blood transcriptomes combined with machine learning models reveals key signatures for tuberculosis diagnosis and risk stratification by Maryam Omrani, Arash Ghodousi, Arash Ghodousi, Daniela Maria Cirillo

    Published 2025-05-01
    “…The progression from Mycobacterium tuberculosis (Mtb) infection to active disease involves a complex interplay between host immune responses and Mtb’s ability to evade them. …”
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    LLM-Based Topic Modeling for Dark Web Q&A Forums: A Comparative Analysis With Traditional Methods by Luis de-Marcos, Adrian Dominguez-Diaz

    Published 2025-01-01
    “…This qualitative analysis underscores the importance of selecting appropriate topic modeling techniques based on the characteristics of the text and the requirements of the analysis, highlighting their potential as valuable tools for analyzing complex and unstructured text data in practical applications for law enforcement and research.…”
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  16. 716

    Comparative Analysis of Random Forest and Logistic Regression Methods in Predicting Leukemia Blood Cancer Using Microscopic Blood Cell Images by Jepri Banjarnahor, Galuh Wira Relungwangi

    Published 2025-07-01
    “…These findings suggest that ensemble methods like RF are particularly well-suited for detecting one of the most deadly blood cancers, leukemia, due to their ability to handle complex feature interactions in medical imaging data. …”
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    How could GenAI work on in-service teachers’ knowledge building process? An empirical study based on epistemic network analysis by Hui Zhang, Qi Wang

    Published 2025-08-01
    “…However, current online TPD often lacks tailored support, structured analysis, communication, and feedback, limiting teachers’ ability to engage in deep knowledge-building. …”
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    A Strategic Hydrogen Supplier Assessment Using a Hybrid MCDA Framework with a Game Theory-Driven Criteria Analysis by Jettarat Janmontree, Aditya Shinde, Hartmut Zadek, Sebastian Trojahn, Kasin Ransikarbum

    Published 2025-07-01
    “…Supplier selection, a complex Multi-Criteria Decision Analysis (MCDA) problem in an inherently uncertain environment, requires careful consideration. …”
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    Subgroup Characteristics of Middle-Aged and Older Women with Chronic Low Back Pain by Multiple Factors: A Hierarchical Cluster Analysis by Ryo Miyachi, Takaaki Nishimura, Masahiro Noguchi, Akio Goda, Hiromichi Takeda, Eisuke Takeshima, Yuji Kanazawa, Tadashi Imai, Wataru Tanaka

    Published 2025-01-01
    “…Results: Partial correlation analysis revealed a significant negative correlation between lumbar movement control ability and autonomic balance. …”
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    Neural Topic Generation Utilizing Attention Mechanisms With Transformer‐Based Embeddings for Root‐Cause Analysis of Manufacturing Defects in Electronic Products by Vutivi Mabasa, Uche A. K. Chude‐Okonkwo, Babu S. Paul

    Published 2025-05-01
    “…These findings highlight the ability of BART and T5 to generate coherent and interpretable topics, making them highly effective tools for RCA in complex manufacturing environments. …”
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