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    Bridging language gaps: The role of NLP and speech recognition in oral english instruction by Parul Dubey, Pushkar Dubey, Rohit Raja, Sapna Singh Kshatri

    Published 2025-06-01
    “…These technologies facilitate personalized and adaptive learning, making pronunciation and fluency improvement more efficient. Traditional methods lack real-time speech assessment and individualized feedback, limiting learners' progress. …”
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    Development and validation of a protocol to determine product perception in relation to the moment of the day by M. Visalli, S. Plano, C. Tortorello, D. Vigo, M.V. Galmarini

    Published 2025-06-01
    “…Chronotypes influence food preferences and meal timing, yet most studies rely solely on questionnaires without integrating real-time tasting data. To address this gap, we developed and validated a method to measure sensory perception and examine its variations throughout the day in alignment with circadian rhythms. …”
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  7. 1247

    An anatomically enhanced and clinically validated framework for lung abnormality classification using deep features and KL divergence by Suresh Kumar Samarla, Maragathavalli P

    Published 2025-06-01
    “…Detecting lung abnormalities via chest X-rays is challenging due to understated tissue variations often ignored by traditional methods. Augmentation techniques like rotation or flipping risk distorting critical anatomical features, actually leading to misdiagnosis. …”
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  8. 1248

    Advanced image preprocessing and context-aware spatial decomposition for enhanced breast cancer segmentation by G. Kalpana, N. Deepa, D. Dhinakaran

    Published 2025-06-01
    “…The segmentation of breast cancer diagnosis and medical imaging contains issues such as noise, variation in contrast, and low resolutions which make it challenging to distinguish malignant sites. …”
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    Meteorological drought severity forecasting utilizing blended modelling by Aaditya Ahire, Nilima Zade, Umeed Mujawar, Dimple Mehta, Ketan Kotecha

    Published 2025-12-01
    “…Accurate techniques of forecasting are necessary for the purpose. Conventional methods lack the intricate time-space correlation in meteorological data. …”
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    Yes, they're all individuals: Hierarchical models for repeat survey data improve estimates of tree growth and size by Tess O'Brien, David Warton, Daniel Falster

    Published 2025-01-01
    “…Better numerical integration methods (Runge–Kutta fourth order in comparison to Euler and midpoint) provided better estimates of parameters, but did not improve the estimation of size and growth. …”
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    Using aerial thermography to map terrestrial thermal environments in unprecedented detail by Karla Alujević, Guillermo Garcia‐Costoya, Noa Ratia, Emma Schmitz, Russell S. Godkin, Akhila C. Gopal, Jelena Bujan, Michael L. Logan

    Published 2025-08-01
    “…We present a new method that integrates aerial thermography from uncrewed aerial vehicles with field‐deployed operative temperature models to generate fine‐scale, spatiotemporally complete maps of operative temperature. …”
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