But what if that popular gender-based stereotype is wrong? Jeanne Brown, a graduate student at McGill University, has found ...
I tested lora_TX and lora_RX with different frequencies and bandwidths. Receiving messages was mostly successful, but when I wanted to observe the chirp on gqrx spectrogram, I couldn't make it. No ...
Signal analysis and classification is fraught with high levels of noise and perturbation. Computer-vision-based deep learning models applied to spectrograms have proven useful in the field of signal ...
The radio hackers in the audience will be familiar with a spectrogram display, but for the uninitiated, it’s basically a visual representation of how a range of frequencies are changing with time.
Built a functional DataDownload.py for downloading seismic data from specified station and date. Moving on to seismic data preprocessing in DataProcessing.py. Doing more background reading and ...
Identifying 5G NR and LTE signal via spectrum sensing using deep-learning techniques. How to characterize spectrum occupancy by training a neural network. Testing network signal identification ...
Abstract: Active defense is an important approach to counter speech deepfakes that threaten individuals’ privacy, property, and reputation. However, the existing works in this field suffer from issues ...
Many parents see the task of parenting as transforming a crying, hungry, wild little child into a civilized being—like them, of course. Actually, the exact opposite is true. Much recent research is ...
Speech continuation and question-answering LLMs are versatile tools that can be applied to a wide array of tasks and industries, making them valuable for enhancing productivity, improving user ...
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