IEEE

A Novel Encoder–Decoder Model for Short-Term Multistep Wind Power Prediction

Abstract: Wind power has emerged as a vital renewable energy source. However, its inherent temporal variability and non-stationarity pose significant challenges for accurate forecasting. To solve this ...
GitHub

kaolab-research/bci_raspy

Experimental code for "Brain-machine interface control with artificial intelligence copilots" Traditional brain-machine interface (BMI) systems decode movement solely from neural data, without taking ...
Unite.AI

Restoring What Your Camera Captured Before AI Changed It

How can you protect the sanctity of a raw photograph from AI interference when it’s already been automatically run through AI inside the camera? New research seeks to restore ‘true’ sensor data – also ...

Clarifying HEVC licensing fees, royalties, and why vendors kill HEVC support

In addition to the financial burdens of HEVC licensing, the risk of lawsuits from patent holders can deter companies from seeking HEVC support. The space is crowded with pending and settled lawsuits, ...
GitHub

Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention (CVPR 2020, Oral)

PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention" published ar CVPR 2020. Satellite image time series, ...
IEEE

FPGA Design and Implementation of BCH Encoders and Decoders Using Pipelined Architecture for High Throughput Applications

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 ...