Conference IntellektTrans
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Participated as an Organizing Committee member in the Intelligent Rail System Transportation Summit, contributing to the event’s organization and discussions on intelligent rail transportation systems.
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Participated as an Organizing Committee member in the Intelligent Rail System Transportation Summit, contributing to the event’s organization and discussions on intelligent rail transportation systems.
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Implemented a solution at L-Cube LLC to optimize the performance of their departmental network, enhancing communication efficiency and reliability.
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Developed an intelligent system for reading and identifying ISO 6346 container codes in logistics ports, enhancing access control and efficiency.
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Created a model for estimating the performance of communication protocols for channels with noise and simulated it using Matlab Communication Toolbox. The simulation results and implemented models on the EMC 2 data center were compared, showing deviations within 11%, confirming the research’s consistency.
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Moscow City Project involves integrating smart systems across five different office building groups with varied requirements. The project includes computer programming for central control and night light adjustment, managing over 800 square meters with 15,000 signals from different controllers.
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This project aims to classify the accents of English language speakers using audio recordings. By leveraging machine learning models such as FFNN, CNN, and LSTM, the system can accurately identify accents, aiding in language learning and accent improvement.
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Developed a face recognition system for smart building and parking projects in Xiamen city, China, resulting in the successful implementation of numerous projects.