Antenna design is crucial for telecommunications and electromagnetic engineering, where predicting current distribution within an antenna is vital for optimization. Traditional prediction methods are manual, time-consuming, and require domain expertise. This paper presents a deep learning-based tool for dipole antenna current prediction, combining real-time dataset generation and visualization. The tool automates predictions and simplifies the process, making it accessible to non-specialists.

Канте С. (науч. рук. Квасников А.А.) A deep learning-based tool for dipole antenna current prediction and visualization // Сборник тезисов докладов конгресса молодых ученых. Электронное издание. – СПб: Университет ИТМО, [2025]. URL: https://kmu.itmo.ru/digests/article/15009