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  • Retraction: Optimizing the ... Retraction: Optimizing the convolutional network layers using the Viola–Jones framework and ternary weight networks
    International journal of intelligent systems, January 2022, 2022-01-00, 20220101, Volume: 37, Issue: 1
    Journal Article
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    Mostafa Al‐Gabalawy, International Journal of Intelligent Systems 2021, 36 (8) (https://doi.org/10.1002/int.22457). The above article, published 9 May 2021 in Wiley Online Library ...
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  • Interception Method - Mathematical Substantiation And Application In Columns-Based Intelligent Systems
    Chesnokov, A M Webology, 01/2022, Volume: 19, Issue: 1
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    The article considers a variant of the intersection method proposed for solving basic problems in columns-based intelligent systems. In these systems, basic problems serve as the basis for solving ...
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  • Improving Te's Consistency ... Improving Te's Consistency of Understanding in Meetings
    Kim, Joseph; Shah, Julie A IEEE transactions on human-machine systems, 10/2016, Volume: 46, Issue: 5
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      Upon concluding a meeting, participants can occasionally leave with different understandings of what had been discussed. Detecting inconsistencies in understanding is a desired capability for an ...
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  • INNOVAZIONE E SVILUPPO INDU... INNOVAZIONE E SVILUPPO INDUSTRIALE
    de Saint Mihiel, Alessandro Claudi Techne (Florence, Italy : 2011), 01/2020, Volume: 20
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    Questa nuova nozione applicata a superfici trasparenti manifesta il livello di contaminazione in atto: la "superficie-limite" favorisce processi di osmosi, di interazione e di comunicazione fra gli ...
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  • Intelligent web-phishing de... Intelligent web-phishing detection and protection scheme using integrated features of Images, frames and text
    Adebowale, M.A.; Lwin, K.T.; Sánchez, E. ... Expert systems with applications, January 2019, 2019-01-00, 20190101, Volume: 115
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    •Adaptive Neuro-Fuzzy Inference System based robust scheme provide more accuracy•Combine features text, images & frames for phishing detection proof more detection•This is the first work that ...
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