IEEE

A Multi-Scale Contrast Preserving Encoder-Decoder Architecture for Local Change Detection From Thermal Video Scenes

Abstract: This article presents a new deep-learning architecture based on an encoder-decoder framework that retains contrast while performing background subtraction (BS) on thermal videos. The ...
IEEE

A Low-Complexity Combined Encoder-LSTM-Attention Networks for EEG-based Depression Detection

Abstract: Despite the high performance of existing state-of-the-art deep learning models for depression detection using electroencephalography (EEG), they incur a heavy computational burden. In this ...
GitHub

striim-labs/lstm-autoencoder-spark-kafka

Real-time anomaly detection on NYC taxi demand data using Kafka streaming, Spark Structured Streaming, and a Dash visualization dashboard. Supports two detection modes: LSTM Encoder-Decoder and ...
GitHub

PULSE Protocol - Python Implementation

PULSE enables any AI system to communicate with any other AI system - regardless of vendor, framework, or architecture. The Problem: Enterprises deploy 15-30 different AI systems that cannot ...