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Suryakant Tyagi and Sándor Szénási
Machine learning and speech emotion recognition are rapidly evolving fields, significantly impacting human-centered computing. Machine learning enables computers to learn from data and make predictions, while speech emotion recognition allows computers t...
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Cristobal Aguilar-Gallardo and Ana Bonora-Centelles
Cell and gene therapies represent promising new treatment options for many diseases, but also face challenges for clinical translation and delivery. Hospital-based GMP facilities enable rapid bench-to-bedside development and patient access but require si...
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Diana Bratic, Marko ?apina, Denis Jurecic and Jana ?iljak Gr?ic
This paper addresses the challenges associated with the centralized storage of educational materials in the context of a fragmented and disparate database. In response to the increasing demands of modern education, efficient and accessible retrieval of m...
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Kristina Mazur, Mischa Saleh and Mirko Hornung
Early and rapid environmental assessment of newly developed aircraft concepts is eminent in today?s climate debate. This can shorten the decision-making process and thus accelerate the entry into service of climate-friendly technologies. A holistic appro...
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Anastasios Fanariotis, Theofanis Orphanoudakis and Vassilis Fotopoulos
Having as a main objective the exploration of power efficiency of microcontrollers running machine learning models, this manuscript contrasts the performance of two types of state-of-the-art microcontrollers, namely ESP32 with an LX6 core and ESP32-S3 wi...
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