CLASSIFICATION OF NEEDS IN THE CONTEXT OF BEHAVIORAL ECONOMICS by Світлана Добринь, Ілля Корсун

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A Real-Time Pinch-to-Zoom Motion Detection by Means of a Surface EMG-Based Human-Computer Interface by Jongin Kim, Dongrae Cho, Kwang Jin Lee, Boreom Lee

“…As a result, our system yields 93.38% classification accuracy averaged over six subjects. …”
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MCCA-Net: Multi-color convolution and attention stacked network for Underwater image classification by Peixin Qu, Tengfei Li, Guohou Li, Zhen Tian, Xiwang Xie, Wenyi Zhao, Xipeng Pan, Weidong Zhang

“…Our image fusion method can achieve 96.39% accuracy on other models, and the MCCA-Net model achieves 97.38% classification accuracy.…”
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Analysis of SURF and SIFT representations to recognize food objects by Razali, Mohd Norhisham, Manshor, Noridayu, Abdul Halin, Alfian, Mustapha, Norwati, Yaakob, Razali

“…Experimental results demonstrate impressive overall recognition at 82.38% classification accuracy from the local feature integration based on the challenging UEC-Food100 dataset. …”
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Classification and treatment of proximal humerus fractures: inter-observer reliability and agreement across imaging modalities and experience by Gaughan John P, Richmond John M, Tosti Rick, Foroohar Abtin, Ilyas Asif M

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