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| Applied aspects of information technology : sci. j..- Odessa Prikladnì aspekti ìnformacìjnih tehnologìj- Титул.
- Contents.
- Lobachev I. M., Antoshchuk S. G., Hodovychenko M. A. Distributed deep learning framework for smart building transducer network. - C. 127–139.
- Biletskyi Yu. O., Shchur I. Z., Kuzyk R. I. V. Passivity-based control system for stand-alone hybrid electrogenerating complex. - C. 140–152.
- Larshin V. P., Gushchin A. M. Mechatronic technological system information support. - C. 153–167.
- Drozd O. V., Rucinski A., Zashcholkin K. V., Drozd M. O., Sulima Y. Yu. Improving FPGA components of critical systems based on natural version redundancy. - C. 168-177.
- Tolochko O. I., Palis S., Burmelov O. O., Kaluhin D. V. Discrete approximation of continuous objects with matlab. - C. 178–191.
- Petrosiuk D. V., Arsirii O. O., Babilunha O. Ju., Nikolenko A. O. Deep learning technology of convolutional neural networks for facial expression recognition. - C. 192–201.
| 2021 | Vol. 4 | no. 2
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