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  1. 221

    FungID: Innovative Fungi Identification Method with Chromogenic Profiling of Colony Color Patterns by John Pouris, Konstantinos Konstantinidis, Ioanna Pyrri, Effie G. Papageorgiou, Chrysa Voyiatzaki

    Published 2025-03-01
    “…In this study, we introduce FungID, a pilot and novel deep learning algorithm, alongside its user-friendly software implementation, developed by analyzing various fungal species for identification based on chromogenic profiling of colony color patterns via a Convolutional Neural Network. …”
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    Article
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    Forecasting Renewable energy and electricity consumption using evolutionary hyperheuristic algorithm by Yang Cao, Jun Yu, Rui Zhong, Masaharu Munetomo

    Published 2025-01-01
    “…The configuration of optimal parameters for these models typically requires optimization algorithms, but conventional algorithms may struggle with fixed search patterns and limited robustness. …”
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    RECOMMENDATION SYSTEM FOR VOCATIONAL MAJOR STREAMING BY C4.5 ALGORITHM by Indra Mukti Prabowo, Subiyanto Subiyanto

    Published 2017-07-01
    “…Decision trees were used to analyze the data from grade 10 of vocational schools Batang in District. The C4.5 Algorithm was used to build decision trees in describing the relationship between the input variables and the target variable in the form of patterns. …”
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    Article
  8. 228

    Application of machine learning algorithm to predict the behavior of stocks marketed in Brazil by Gabriel Donadio Costa, Rogério João Lunkes

    Published 2025-07-01
    “…In order to assist investors in the decision-making process, artificial intelligence tools aim at finding patterns hidden in data and providing useful, timely and accurate information. …”
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    Article
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    Barefoot Footprint Detection Algorithm Based on YOLOv8-StarNet by Yujie Shen, Xuemei Jiang, Yabin Zhao, Wenxin Xie

    Published 2025-07-01
    “…Conventional image recognition algorithms exhibit limitations in processing barefoot footprint images characterized by concentrated feature distributions and rich texture patterns. …”
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    Article
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    DESCRIPTION AND IDENTIFICATION OF TEMPORAL REGULARITIES FOR FUZZY TIME SERIES WITH APPLICATION OF HYBRID OLS-PATTERNS by D. V. Dultsev, L. I. Suchkova

    Published 2018-12-01
    “…The advantage of this structure and algorithm in comparison with the known ways of storing and analysing temporal data is a reduction in the amount of memory necessary for storing templates in the knowledge base, as well as the possibility of applying OLS patterns for decisionmaking purposes.…”
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  13. 233

    Pearson Autocovariance Distinct Patterns and Attention-Based Deep Learning for Wind Power Prediction by W. G. Jency, J. E. Judith

    Published 2022-01-01
    “…Next, an Attention-based Long Short-Term Memory Wind Prediction algorithm is employed to retain required patterns and forget irrelevant patterns to acquire more satisfactory prediction precision. …”
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    Article
  14. 234

    Traffic Conflict Prediction for Sharp Turns on Mountain Roads Based on Driver Behavior Patterns by Quanchen Zhou, Jiabao Zuo, Yafei Zhao, Mingwu Ren

    Published 2025-04-01
    “…We collected information through field observations and driving simulations while analyzing key indicators like the mean speed of vehicles and spacing between vehicles. The FP-Growth algorithm was used to identify frequent behavioral patterns and measure their relationship with traffic conflicts. …”
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    Article
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    Exploring synergistic patterns in bimanual distal limb movements through low dimensional representations by Prajwal Shenoy, S. K. M. Varadhan

    Published 2025-05-01
    “…Abstract The human hand is a complex manipulator with many joints that can perform various tasks. Neuroscience research has demonstrated that to perform any posture, the brain does not control the individual joints but relies on coactivation patterns called synergies that simultaneously control a set of joints. …”
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    Article
  17. 237

    Pattern recognition method for the identification of Daiqu large yellow croaker based on computer vision by YU Xinjie, WU Xiongfei, SHEN Weiliang

    Published 2018-07-01
    “…A pattern recognition method based on computer vision was developed for the identification of Daiqu large yellow croaker. …”
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    Article
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