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    Systematic Literature Review of Speaker Diarization Techniques: Toward Bridging Gaps in Low-resourced Languages Using Machine Learning by Mohd Zulhafiz Rahim, Sarah Samson Juan, Syahrul Nizam Junaini

    Published 2025-01-01
    “…This paper focuses on Sarawak Malay, a low-resourced language, and presents conversational data collected through a crowd-sourced approach, which needs speaker turns and transcripts. …”
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    Machine learning-based state of charge estimation: A comparison between CatBoost model and C-BLSTM-AE model by Abderrahim Zilali, Mehdi Adda, Khaled Ziane, Maxime Berger

    Published 2025-06-01
    “…This paper proposes the application of two machine learning-based approaches for SOC estimation that perform well at wide range of temperatures (positive and negative) and varying dynamic loads. …”
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    High Frequency Monitoring of Herbicides in Surface Water and Farmers Survey in an Agricultural Catchment in Belgium by Florian Krebs, Gunnar Kahl, Dirk Baets, Thorsten Schad, Robin Sur, Lutz Breuer

    Published 2025-07-01
    “…The full dataset (including streamflow, precipitation and application data) is available at https://doi.org/10.5281/zenodo.10189609.…”
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    Hyperparameter optimization of machine learning models for predicting actual evapotranspiration by Chalachew Muluken Liyew, Elvira Di Nardo, Stefano Ferraris, Rosa Meo

    Published 2025-06-01
    “…Direct measurement of actual evapotranspiration (AET) using eddy covariance and lysimeters is challenging, particularly in large areas, due to high cost, technical complexity, and the need for specialized instrumentation. Consequently, AET data is limited, prompting the use of meteorological and soil features for prediction. …”
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    Securing the road ahead: Machine learning-driven DDoS attack detection in VANET cloud environments by Himanshu Setia, Amit Chhabra, Sunil K. Singh, Sudhakar Kumar, Sarita Sharma, Varsha Arya, Brij B. Gupta, Jinsong Wu

    Published 2024-01-01
    “…Safeguarding system integrity and data privacy is of utmost importance before the widespread adoption of VANET Cloud solutions. …”
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    Complying with the EU AI Act: Innovations in explainable and user-centric hand gesture recognition by Sarah Seifi, Tobias Sukianto, Cecilia Carbonelli, Lorenzo Servadei, Robert Wille

    Published 2025-06-01
    “…The EU AI Act underscores the importance of transparency, user-centricity, and robustness in AI systems, particularly for high-risk applications. In response, we present advancements in XentricAI, an explainable hand gesture recognition (HGR) system designed to meet these regulatory requirements. …”
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    Building consistency in explanations: Harmonizing CNN attributions for satellite-based land cover classification by Timo T. Stomberg, Lennart A. Reißner, Martin G. Schultz, Ribana Roscher

    Published 2025-06-01
    “…This is achieved by coherently linking feature representations to attributions derived from analyzing the training data, enabling direct attribution assignment to features in (unseen) images. …”
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    Deep learning modeling of manufacturing and build variations on multistage axial compressors aerodynamics by Giuseppe Bruni, Sepehr Maleki, Senthil K. Krishnababu

    Published 2025-01-01
    “…The proposed architecture is proven to achieve an accuracy comparable to that of the CFD benchmark, in real-time, for an industrially relevant application. The deployed model is readily integrated within the manufacturing and build process of gas turbines, thus providing the opportunity to analytically assess the impact on performance with actionable and explainable data.…”
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    Probabilistic digital twins for geotechnical design and construction by Dafydd Cotoarbă, Daniel Straub, Ian F.C. Smith

    Published 2025-01-01
    “…However, its broader application across some AECOM sectors remains limited. …”
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