[PDF][PDF] Quantum machine learning: exploring quantum algorithms for enhancing deep learning models

H Gonaygunta, MH Maturi, GS Nadella… - … Journal of Advanced …, 2024 - researchgate.net
Quantum Machine Learning: Exploring Quantum Algorithms for Enhancing Deep Learning
Models Page 1 International Journal of Advanced Engineering Research and Science (IJAERS) …

A Review of the Applications of Quantum Machine Learning in Optical Communication Systems

A Modi, AV Jasso, R Ferrara, C Deppe… - … Wireless 2023; 28th …, 2023 - ieeexplore.ieee.org
In the context of optical signal processing, quantum and quantum-inspired machine learning
algorithms have massive potential for deployment. One of the applications is in error …

Quantum information technology on the Edge

SO Semerikov, T Vakaliuk, AM Striuk… - Joint Proceedings of the …, 2021 - lib.iitta.gov.ua
This is an introductory text to a collection of selected papers from the Joint Workshop on the
Quantum Information Technologies and Edge Computing (QuaInT & doors 2021) which …

8th Workshop on Cloud Technologies in Education: Report

SO Semerikov, MP Shyshkina, AM Striuk… - CTE Workshop …, 2021 - acnsci.org
This is an introductory text to a collection of selected papers from the 8th Workshop on Cloud
Technologies in Education (CTE 2020) which was held in Kryvyi Rih, Ukraine, on the …

Quantum OPTICS and deep self-learning on swarm intelligence algorithms for Covid-19 emergency transportation

H Drias, Y Drias, NA Houacine, LS Bendimerad… - Soft computing, 2023 - Springer
In this paper, the quantum technology is exploited to empower the OPTICS unsupervised
learning algorithm, which is a density-based clustering algorithm with numerous …

[PDF][PDF] Prospects of quantum informatics and the study of its basics in the school course

LV Lehka, AO Bielinskyi, SV Shokaliuk… - Proceedings of the …, 2022 - papers.ssrn.com
The purpose of this study is to review the main points of the experimental content of the
basics of quantum computer science adapted for lyceum students, based on the prospects of …

Machine learning for prediction of emergent economy dynamics

AE Kiv, VN Soloviev, SO Semerikov… - Proceedings of the …, 2021 - lib.iitta.gov.ua
This is an introductory text to a collection of selected papers and revised from the M3E2
2021: 9th International Conference on Monitoring, Modeling & Management of Emergent …

XII international conference on mathematics, science and technology education

AE Kiv, VN Soloviev… - Journal of physics …, 2021 - iopscience.iop.org
This paper represents a preface to the Proceedings of the XII International Conference on
Mathematics, Science and Technology Education (ICon-MaSTEd 2020) held at the Kryvyi …

Integration of chatbots into the system of professional training of Masters

TV Shabelnyk, SV Krivenko, NY Rotanova… - CTE Workshop …, 2021 - acnsci.org
The article presents and describes innovative technologies of training in the professional
training of Masters. For high-quality training of students of technical specialties, it becomes …

[PDF][PDF] A comparative study of deep learning models for sentiment analysis of social media texts.

VD Derbentsev, VS Bezkorovainyi, AV Matviychuk… - M3E2 …, 2022 - ceur-ws.org
Sentiment analysis is a challenging task in natural language processing, especially for
social media texts, which are often informal, short, and noisy. In this paper, we present a …