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Published in 2025 at "ACS applied materials & interfaces"
DOI: 10.1021/acsami.5c06453
Abstract: Flexible strain sensors have garnered significant attention due to their high sensitivity, rapid response, and flexibility. Recent innovations, particularly those incorporating machine learning, have significantly enhanced their stability, sensitivity, and adaptability, positioning these sensors as…
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strain sensors;
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Published in 2024 at "Royal Society Open Science"
DOI: 10.1098/rsos.240458
Abstract: The ability to simulate realistic networks based on empirical data is an important task across scientific disciplines, from epidemiology to computer science. Often, simulation approaches involve selecting a suitable network generative model such as Erdös–Rényi…
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machine learning;
learning robust;
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Published in 2025 at "Current pharmaceutical design"
DOI: 10.2174/0113816128353371250119121315
Abstract: BACKGROUND Healthcare is rapidly leveraging machine learning to enhance patient care, streamline operations, and address complex medical issues. Though ethical issues, model efficiency, and algorithmic bias exist, the COVID-19 pandemic highlighted its usefulness in disease…
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machine;
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Published in 2023 at "Mathematics"
DOI: 10.3390/math11081890
Abstract: Machine learning and deep learning have made tremendous progress over the last decade and have become the de facto standard across a wide range of image, video, text, and sound processing domains, from object recognition…
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Keywords:
editorial special;
issue advances;
machine;
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