Category: 7. Maths

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  • Transformer-based language-independent gender recognition in noisy audio environments

    Transformer-based language-independent gender recognition in noisy audio environments

    The study involves three distinct experiments, each serving a different purpose. The training procedures are detailed in “Model training”. The first experiment compares the Wav2Vec2.0 Emissions versus Mel-Spectrograms as preprocessing methods…

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  • Optimizing resource allocation for IoT applications in the edge cloud continuum using hybrid metaheuristic algorithms

    Optimizing resource allocation for IoT applications in the edge cloud continuum using hybrid metaheuristic algorithms

    This section presents the experimental setup used to evaluate the performance of the proposed hybrid Flower Pollination Algorithm (FPA) with Tabu Search (TS) and provides an in-depth analysis of the results. The experiments focus on assessing the…

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  • Machine-learning-aided analysis of relationship between crystal defects and macroscopic mechanical properties of TWIP steel

    Machine-learning-aided analysis of relationship between crystal defects and macroscopic mechanical properties of TWIP steel

  • De Cooman, B. C., Chin, K. G. & Kim, J. High Mn TWIP steels for automotive applications. New. Trends Developments Automot. Syst. Eng. 1, 101–128. https://doi.org/10.5772/14086 (2011).

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  • Spatial and temporal modeling of conflict related fatality and public health implications in Nigeria

    Spatial and temporal modeling of conflict related fatality and public health implications in Nigeria

    Data

    In this work, the dataset used to study the variability of fatalities due to these violent events was acquired from the Armed Conflict Location and Event Data Project (ACLED). ACLED is a data collection, analysis, and crisis mapping project…

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  • New method improves survival analysis power in clinical and epidemiological studies

    New method improves survival analysis power in clinical and epidemiological studies

    The restricted mean survival time (RMST) analysis technique was introduced in health care research about 25 years ago and since then has become widely used in economics, engineering, business and other professions.

    In clinical settings, RMST is…

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  • SS-EMERGE – self-supervised enhancement for multidimension emotion recognition using GNNs for EEG

    SS-EMERGE – self-supervised enhancement for multidimension emotion recognition using GNNs for EEG

    The rapid advancement in data acquisition technologies and the exponential growth in data volume have made it increasingly inadequate to rely solely on supervised datasets to gain insights into environmental phenomena or understand the human…

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