AZoSensors

AI Maps Heat Inside Steelmaking’s Critical Sintering Process Beds

The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical ...
eLife

High-Fidelity Neural Speech Reconstruction through an Efficient Acoustic-Linguistic Dual-Pathway Framework

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...
GitHub

ranasaurabh191/Predictive-Maintenance-PdM-Pipeline

textpdmp_project/ │ ├── data/ │ ├── raw/ # Raw synthetic sensor data (e.g., synthetic_sensor_data.csv) │ └── processed/ # Processed data (e.g ...
The White House

MAKING FEDERAL ARCHITECTURE BEAUTIFUL AGAIN

Section 1. Purpose. The Founders, in line with great societies before them, attached great importance to Federal civic architecture. They wanted America’s public buildings to inspire the American ...
Frontiers

Integrated neural network framework for multi-object detection and recognition using UAV imagery

Introduction: Accurate vehicle analysis from aerial imagery has become increasingly vital for emerging technologies and public service applications such as intelligent traffic management, urban ...
aia.org

Architecture Award 2025

Explore the AIA Architecture Award 2025 recipients—recognized as the best in contemporary architecture regardless of budget, size, style, or type. The AIA Architecture Award program celebrates the ...
Scientific Research Publishing

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications ()

The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in unsupervised ...
GitHub

Anomaly Detection in Stock Prices using LSTM Autoencoder

This project shows how to find anomalies in financial time series data, specifically the stock values of Apple (AAPL), using a LSTM Autoencoder. Stock price anomalies may be a sign of major market ...