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  1. 2021
  2. 2022
  3. 2023
  4. 2024

    State of the Art of Fuzzy Methods for Gene Regulatory Networks Inference by Tuqyah Abdullah Al Qazlan, Aboubekeur Hamdi-Cherif, Chafia Kara-Mohamed

    Published 2015-01-01
    “…They provide viable computational tools for inferring GRNs from gene expression data, thus contributing to the discovery of gene interactions responsible for specific diseases and/or ad hoc correcting therapies. …”
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  5. 2025

    The Food Safety Modernization Act and the FDA Facility Registration Program by Susanna Richardson, Renée M. Goodrich-Schneider, Mark A. Ritenour, Michelle D. Danyluk, Keith R. Schneider

    Published 2013-07-01
    “…The Food Safety Modernization Act that President Obama signed into law January 4, 2011 represents the most sweeping update to food safety regulation since the Federal Food, Drug, and Cosmetic Act of 1938. …”
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  6. 2026
  7. 2027
  8. 2028

    An Enhanced Approach Using AGS Network for Skin Cancer Classification by Hwanyoung Lee, Seeun Cho, Jiyoon Song, Hoyoung Kim, Youjin Shin

    Published 2025-01-01
    “…It was evaluated using eight deep learning classifiers—GoogLeNet, DenseNet201, ResNet50, MobileNet V3, EfficientNet B0, ViT, EfficientNet V2, and Swin Transformers—on the HAM10000 dataset. …”
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  9. 2029
  10. 2030
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  12. 2032
  13. 2033

    Towards AI-Based Traffic Counting System with Edge Computing by Duc-Liem Dinh, Hong-Nam Nguyen, Huy-Tan Thai, Kim-Hung Le

    Published 2021-01-01
    “…The experiment results clearly indicate that the proposed system achieves the top inference speed at around 26.8 frames per second (FPS) with 92.1% accuracy on the VDD. …”
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  14. 2034
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  16. 2036
  17. 2037
  18. 2038
  19. 2039

    Drone Landing and Reinforcement Learning: State-of-Art, Challenges and Opportunities by Jose Amendola, Linga Reddy Cenkeramaddi, Ajit Jha

    Published 2024-01-01
    “…The comprehensive analysis performed on reviewed works revealed that there are important untackled challenges when it comes to wind disturbances, unpredictability of moving landing targets, sensor latency, and sim-to-real gap. Finally, we present our critical analysis of how recent state-of-the-art deep learning concepts can be combined with reinforcement learning to leverage the latter in addressing the open gaps in future works.…”
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  20. 2040

    Non-Supersymmetric CS-Matter Theories with Known AdS Duals by Davide Forcella, Alberto Zaffaroni

    Published 2011-01-01
    “…The existence of these non-supersymmetric, stable field theories, at least in the large N limit, is a peculiarity of the AdS 4 / CFT 3 correspondence with respect to the usual AdS 5 / CFT 4 , and it is worthwhile to study it. …”
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