Applied Sciences (ISSN 2076-3417) provides an advanced forum on all aspects of applied natural sciences. It publishes reviews, research papers and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files and software regarding the full details of the calculation or experimental procedure, if unable to be published in a normal way, can be deposited as supplementary electronic material.
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The journal covers all aspects of applied biology, applied chemistry, applied physics, and applied engineering. It has eight Sections: "Nanotechnology and Applied Nanoscience", "Optics and Lasers", "Acoustics", "Chemistry", "Materials", "Energy", "Mechanical Engineering" and "Computer Science and Electrical Engineering".
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Load Classification: A Case Study for Applying Neural Networks in Hyper-Constrained Embedded Devices (2021) — Andrea Agiollo, Andrea Omicini
