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 ...

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

Repilot synthesizes a candidate patch through the interaction between an LLM and a completion engine, which prunes away ...

As with all streaming workflows, AI has steadily crept into the live streaming technology stack. In some cases, the impact is ...

Prairie City comes alive in David Tra’s one-of-a-kind story and game experience for curious young minds. MD, UNITED ...

Abstract: Smartphone-based Human Activity Recognition (HAR) typically relies on deep learning models. However, performance varies with encoder architecture and the availability of labeled data. To ...

Deep learning framework for energy consumption forecasting and anomaly detection using a Dual Attention Encoder-Decoder architecture with an interactive analytics dashboard. - SVNSAIRAVIKIRAN/DAEIN ...