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Sara Rajaram and Cassie S. Mitchell
The ability to translate Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) into different modalities and data types is essential to improve Deep Learning (DL) for predictive medicine. This work presents DACMVA, a novel framework ...
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P V Suryawanshi,B S Rajaram,A D Bhanarkar,C V Chalapati Rao
Pág. 221 - 234
Air pollution has been considered one of the major environmental challenges because of its effect on ecosystems and human health. The concentration levels and sources of heavy metals contamination were studied in road dust samples collected from various ...
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Huang, T. S.; Dagli, C. K.; Rajaram, S.; Chang, E. Y.; Mandel, M. I.; Poliner, G. E.; Ellis, D. P. W
Pág. 648 - 667
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K. Theinnoi, S. Sitshebo, V. Houel, R. R. Rajaram and A. Tsolakis
Pág. 4109 - 4114
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Ben-Arie, J. Wang, Z. Pandit, P. Rajaram, S.
Pág. 1091 - 1104
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