Integrating artificial intelligence with food category recognition has been a field of interest for
research for the past few decades. It is potentially one of the next steps in revolutionizing …

The most widely used Wi-Fi wireless communication system, which is based on OFDM, is
currently developing quickly. The receiver must, however, accurately estimate the carrier …

According to the cognitive radio paradigm, spectrum sensing, decision-making, sharing, and
mobility phases can be integrated to enable both authorised and unauthorised users to …

The paper considers the application of Artificial Neural Networks for the demodulation of
SEFDM signals for BPSK and QPSK modulation schemes. Two approaches to building …

Demodulation is a fundamental and critical function of communication systems. Traditional
demodulation methods are designed for specific modulation schemes, which require …

Our objective in this demonstration is to demodulate the received BPSK signal using a deep
neural network. In conventional demodulation, the performance is limited by the carrier …

Distributed beamforming (DBF) paradigm allows transmission of same signal via multiple
transmitters with an aim to achieve coherent reception. The key challenge in DBF is the …

Underwater acoustic channel is a frequency selective fading channel with severe multipath
effect and significant Doppler shift, which greatly limits the performance of underwater …

Рассмотрено применение методов глубокого обучения для классификации COVID-19 и
отёка легких на изображениях компьютерной томографии лёгких. Предложен метод на …