Real-time anomaly detection on NYC taxi demand data using an LSTM Encoder-Decoder model, Kafka streaming, Spark Structured Streaming, and a Dash visualization dashboard. Based on Malhotra et al. (2016 ...

Alfatron Electronics, the Raleigh, N.C.-based, manufacturer, has introduced the ALF-IPK1HE 4K Networked Encoder and ALF-IPK1HD 4K Networked Decoder, designed for distributing high-quality AV signals ...

This research paper presents a proactive approach to congestion control in IoT networks using an encoder–decoder LSTM (ED-LSTM) model to predict packet loss ratios ahead of time. By forecasting ...

Most learning-based speech enhancement pipelines depend on paired clean–noisy recordings, which are expensive or impossible to collect at scale in real-world conditions. Unsupervised routes like ...

ABSTRACT: This work presents an innovative Intrusion Detection System (IDS) for Edge-IoT environments, based on an unsupervised architecture combining LSTM networks and Autoencoders. Deployed on ...

Accurate reservoir inflow forecasting is vital for effective water resource management. Reliable forecasts enable operators to optimize storage and release strategies to meet competing sectoral ...

Beyond tumor-shed markers: AI driven tumor-educated polymorphonuclear granulocytes monitoring for multi-cancer early detection. Clinical outcomes of a prospective multicenter study evaluating a ...

Abstract: Automatic highlighting from texts is an abstractive summarization problem that is frequently focused on in natural language processing. In encoder-decoder architectures, developed for ...