Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
Frontiers

Discomfort detection during automated driving using temporal transformers

Introduction: With the recent breakthroughs in driving automation and the development of smart vehicles, human-technology interaction issues, such as detecting comfort levels in automated driving, ...
Scientific Research Publishing

Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P. and Shroff, G. (2016) LSTM-Based Encoder-Decoder for Multi-Sensor Anomaly Detection.

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 ...
GitHub

Fault Detection in Turbofan Engines Using LSTM AutoEncoder and Fine-Tuned LLM

This project focuses on fault detection in turbofan engines using the NASA C-MAPSS (Commercial Modular Aero-Propulsion System Simulation) dataset, specifically the DS02 subset. The system combines ...
TV Technology

Magewell to Show Latest Pro Convert Device, Preview Xmit Encoder/Decoder at Infocomm

NANJING, China—Magewell will showcase the latest addition to its Pro Convert product line and introduce a new family of Pro Convert devices during InfoComm 2025, June 11-13, at the Orange County ...
ascopubs.org

Next-generation U-Net Encoder: Decoder for accurate, automated CTC detection from images of peripheral blood nucleated cells stained with EPCAM and DAPI.

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 ...
TechSpot

Meta unveils AI models that convert brain activity into text with unmatched accuracy

What just happened? Working with international researchers, Meta has announced major milestones in understanding human intelligence through two groundbreaking studies: they have created AI models that ...
IEEE

Video Captioning using LSTM-based Encoder-Decoder Architecture

Abstract: This paper provides a way to improve video captioning by integrating the feature extraction capabilities of the VGG-16 Convolutional Neural Network (CNN) with a Long Short-Term Memory (LSTM) ...