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Fabio Carrara, Roberto Caldelli, Fabrizio Falchi and Giuseppe Amato
The adoption of deep learning-based solutions practically pervades all the diverse areas of our everyday life, showing improved performances with respect to other classical systems. Since many applications deal with sensible data and procedures, a strong...
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Caiwang Peng, Ting Zhou, Shisheng Song, Songlin Sun, Yulong Yin and Daojun Xu
In this study, a differential separation roller screen was developed, and the nail teeth and the screen were rotated coaxially with reverse directions. The mixture of black soldier fly sand with a certain moisture content was more effectively separated, ...
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Ki-Sun Lee, Jae-Jun Ryu, Hyon Seok Jang, Dong-Yul Lee and Seok-Ki Jung
The aim of this study was to evaluate the deep convolutional neural networks (DCNNs) based on analysis of cephalometric radiographs for the differential diagnosis of the indications of orthognathic surgery. Among the DCNNs, Modified-Alexnet, MobileNet, a...
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Vili Podgorelec, ?pela Pecnik and Grega Vrbancic
The paper presents a method for the classification of sports disciplines from images using fine-tuning of transfer learning for training a convolutional neural network with hyper-parameter optimization based on differential evolution.
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Bhagya Nathali Silva, Murad Khan, Ruchire Eranga Wijesinghe, Samantha Thelijjagoda and Kijun Han
Survivors of either a hemorrhagic or ischemic stroke tend to acquire aphasia and experience spontaneous recovery during the first six months. Nevertheless, a considerable number of patients sustain aphasia and require speech and language therapy to overc...
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