In this video, I'm showing two options that one can take to implement a laundry cycle ending detection in their smart home setup. One of the routes is to implement a vibration sensor to detect the ...

Abstract: Anomaly detection in traffic flow is crucial for ensuring the safety and stability of intelligent transportation systems. However, many transformer-based deep learning models suffer from ...

Neo4j’s Suhail Gulzar explains why graphs are gaining traction in India for grounding GenAI with context, detecting networked fraud threats and enabling auditable data lineage. Enterprises are ...

Fraudulent activities have caused substantial negative social impacts and are exhibiting emerging characteristics such as intelligence and industrialization, posing challenges of high-order ...

Abstract: Unsupervised cross-sensor change detection (CSCD) is a significant yet challenging task in remote sensing, primarily due to substantial domain shifts across heterogeneous images and the ...

EmeraldGraph, a domain-specific Knowledge Graph, its schema and the full pipeline for its construction EmeraldDB, a document store extracted from ESG reports for text-based retrieval Claim grounding, ...

A misalignment-tolerant multi-pass optical cavity boosts weak Raman signals, doubling path length and enabling stable, sensitive trace gas detection in air. (Nanowerk News) A research team led by Prof ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

ABSTRACT: 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 ...

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 ...