Showing 721 - 740 results of 928 for search 'ability interaction network', query time: 0.12s Refine Results
  1. 721

    Toward Automated Knowledge Discovery in Case-Based Reasoning by Sherri Weitl-Harms, John Hastings, Jay Powell

    Published 2024-05-01
    “…Automated Case Elicitation (ACE) enables case-based reasoning (CBR) systems to automatically acquire knowledge through real-time exploration and interaction with environments. CBR is an explainable AI methodology, where decisions are based on previous encounters. …”
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    Article
  2. 722

    Rheological Behavior, Textural Properties, and Antioxidant Activity of <i>Porphyra yezoensis</i> Polysaccharide by Chenyang Ji, Xiaoshan Long, Jingjie Wang, Bo Qi, Yang Cao, Xiao Hu

    Published 2025-02-01
    “…Ca<sup>2+</sup> could modulate the interactions between PYPS molecules and affect the formation of the gel network structure. …”
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    Article
  3. 723

    Improving Wind Turbine Gearbox Reliability: A Hybrid Deep Learning Approach Using Bispectrum Image Analysis by Muhammad Zacky Asy'Ari, Jun Kondoh, Benyamin Kusumoputro

    Published 2025-01-01
    “…This study explores the potential of bispectrum image analysis combined with Convolutional Neural Network (CNN), CNN-Long Short-Term Memory (LSTM), and CNN-Bidirectional LSTM networks for enhanced fault detection and predictive maintenance for wind turbine systems. …”
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    Article
  4. 724

    Single nucleotide variants in transcription factors associate more tightly with phenotype than with gene expression. by Priya Sudarsanam, Barak A Cohen

    Published 2014-05-01
    “…The balance between the main effects and gene-gene interactions on gene expression variation is not the same as on sporulation efficiency. …”
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    Article
  5. 725

    A Predictive Model of the Photosynthetic Rate of Chili Peppers Using Support Vector Regression and Environmental Multi-Factor Analysis by Bin Li, Bo Qiao, Qianyu Zhao, Dan Yang, Rongcheng Zhu, Zhexuan Wang, Yujie Yang

    Published 2025-05-01
    “…Based on the collected data, a support vector regression (SVR) algorithm was trained and its performance was compared with that of a backpropagation (BP) neural network, a radial basis function (RBF) neural network, and a random forest (RF) algorithm. …”
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    Article
  6. 726

    Damage prediction of rear plate in Whipple shields based on machine learning method by Chenyang Wu, Xiangbiao Liao, Lvtan Chen, Xiaowei Chen

    Published 2025-08-01
    “…Current hypervelocity impact research primarily focuses on the interaction between projectile and front plate and the movement of debris cloud. …”
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    Article
  7. 727

    Bionic Artificial Leaves Based on AIE‐Active Supramolecular Hydrogel for Efficient Photocatalysis by Rongbo Zhang, Xueqi Tian, Minzan Zuo, Tao Zhang, Srikala Pangannaya, Xiao‐Yu Hu

    Published 2025-07-01
    “…An amphiphilic guest G is introduced to form a stable complex (HGSM) via non‐covalent interactions. Subsequent copolymerization of HGSM with gelatin methacryloyl (GelMA) yields a hydrogel network (HGGelMA), which not only exhibits AIE characteristics but also enables encapsulation of the acceptor eosin Y (ESY), thereby resulting in the construction of an artificial light‐harvesting system HGGelMA⊃ESY that serves as a biomimetic leaf. …”
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    Article
  8. 728

    INFORMATION CULTURE AND INFORMATION SAFETY OF SCHOOLCHILDREN by E. G. Belyakova, E. V. Zagvyazinskaya, A. I. Berezentseva

    Published 2017-10-01
    “…The article is devoted to the problem of interaction between schoolchildren and possible informational risks transmitted on the Internet. …”
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    Article
  9. 729

    THE APPLICATION OF IOT (INTERNET OF THINGS) FOR SMART HOUSING ENVIRONMENTS AND INTEGRATED ECOSYSTEMS by Andi Hildayanti, M Sya'Rani Machrizzandi

    Published 2020-06-01
    “…IoT is a structure in which objects, people are given an exclusive identity and the ability to move data through networks without requiring two directions between humans to humans, that is, sources to destinations or interactions between humans and computers. …”
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    Article
  10. 730

    Emotion recognition with multiple physiological parameters based on ensemble learning by Yilong Liao, Yuan Gao, Fang Wang, Li Zhang, Zhenrong Xu, Yifan Wu

    Published 2025-06-01
    “…We proposed a hybrid model framework combining Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks, trained and optimized using a random seed initialization strategy and a cosine annealing warm restart strategy. …”
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    Article
  11. 731

    Synergy in Innovation and Performant Management at the Government Level by Marius STEFAN, Cristian BRANCU, Oana TURCU, Madalina POPP, Catalina Alexandra NEDELCU

    Published 2024-07-01
    “…In the 20th century, telecommunications networks were added to them, which allow overcoming several barriers of time and space, as well as access to new frontiers of human interaction. …”
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    Article
  12. 732

    Regulatory mechanisms of hepatocyte PCSK9 expression: translating mechanistic insights into potential nutraceuticals by Seon Kyeong Park, Jin-Taek Hwang, Hyo-Kyoung Choi, Jangho Lee

    Published 2025-08-01
    “…This review explores the intricate regulatory network that controls hepatic PCSK9 expression and explores how these molecular insights can be translated into nutraceutical applications. …”
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    Article
  13. 733

    ChatGPT based method for obtaining repeatable and quantitative colorimetric measurements by Morena Xaba, Sivuyisiwe Mapukata, Teboho Mokhena

    Published 2025-12-01
    “…The rise of artificial intelligence (AI) applications in the modern industry has been shown to boost productivity in many sectors such as manufacturing, mining, finance, marketing, pharmacy, textiles, and a few more industries. AI is a neural network system that is wired to learn by interacting with humans and by repetition of tasks. …”
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    Article
  14. 734

    Travel time prediction for Two-Lane Two-Way undivided carriageway road Section- A case study by Sanjay Luitel, Pradeep Kumar Shrestha, Hemant Tiwari

    Published 2025-05-01
    “…Significant efforts have been made to enhance the ability to predict travel times along road corridors, considering various influencing factors. …”
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    Article
  15. 735

    Digital Assistant for Medical Management by Maria-Dana-Ștefania CÂMPAN

    Published 2025-05-01
    “…MedLife, on the other hand, covers a broader network of medical institutions and provides access to test results and consultation scheduling. …”
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    Article
  16. 736

    Enhancing action recognition in educational settings using AI-driven information systems for public health monitoring by Changchun Lu, Han Ruijuan

    Published 2025-07-01
    “…These limitations hinder their effectiveness, particularly in detecting health-related behaviors such as sedentary patterns, social interactions, and hygiene compliance.MethodsTo overcome these shortcomings, this research introduces an AI-driven information system that leverages advanced deep learning models and an Adaptive Knowledge Embedding Network (AKEN) to improve action recognition accuracy. …”
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    Article
  17. 737

    Students Results Tracking Tool: A Case Study of Kabale Secondary school. by Kebirungi, Susan

    Published 2024
    “…This system runs on a web browser on a computer with a well-connected network. Hence, in the current era of e-learning, prompted by the adoption of ICT, students' results tracking has the advantage of being easy to administer, ability to offer students instant results, having easy verification, devoid of paperwork it is capable of reducing the proportion of workload on students' results tracking.…”
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    Thesis
  18. 738

    Fluorescent probes to track complex membrane blebbing by Juan L. Cortes-Muñoz, Johan-Moritz Kux, Pablo J. Sáez, Arturo Jiménez-Sánchez

    Published 2025-05-01
    “…Cellular blebbing, pivotal in processes such as apoptosis, cytokinesis, and migration, involves dynamic interactions between the actomyosin network and microtubules. …”
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    Article
  19. 739

    Repetitive magnetic stimulation with iTBS600 induces persistent structural and functional plasticity in mouse organotypic slice cultures by Han Lu, Shreyash Garg, Maximilian Lenz, Andreas Vlachos

    Published 2025-09-01
    “…Background:: Repetitive transcranial magnetic stimulation (rTMS) is well known for its ability to induce synaptic plasticity, yet its impact on structural and functional remodeling within stimulated networks remains unclear. …”
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    Article
  20. 740