Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

This paper presents the design and FPGA implementation of a high-throughput BCH (n,k) encoder and decoder using a fully pipelined architecture. Unlike conventional designs based on finite state ...

A high-performance Slow Scan Television (SSTV) decoder written in C++23 with Python bindings via pybind11. This project focuses on decoding the PD modes (e.g., PD120, PD180, PD240).

Abstract: Accurate time series forecasting is critical in a variety of fields, including transportation, weather prediction, energy management, infrastructure monitoring, and finance. Forecasting ...

The following results were collected using the benchmarks directory in this repository. The documents tested are real-world messages collected from the Archipelago client. Benchmark environment: ...

I never thought smart home tech was for me. Maybe that’s because my introduction to it was largely centered around my friends incessantly yelling “Hey Google!” whenever they wanted a light turned on ...