IoT Insights & Analysis

OPPORTUNITY: What Multimodal Sensing Reveals About Human Activity Recognition

OPPORTUNITY combines body-worn, object and ambient sensing with layered annotations. How that structure should shape reproducible HAR experiments.

Urban Acoustic Sensing with IoT-AED: A Dataset Analysis for Public Spaces

An evidence-based analysis of IoT-AED for urban acoustic research, examining 6,400 audio clips, class balance, file structure, evaluation limits, licence questions and a public-space monitoring example.

Inside a Physics-Based Synthetic Smart City Dataset: A Reproducible Baseline Analysis

An evidence-based analysis of the 1,000-row IoTSyn v4.4.0 smart-city baseline, covering UTCI heat stress, LAeq noise, air quality, occupancy, risk aggregation, validation warnings, reproducibility, and appropriate research uses.

Multimodal Sensor Fusion for Human Activity Recognition (HAR)

Industrial IoT in Transit: Predictive Maintenance for Metro Systems

Stability Analysis in Decentralized Smart Grids: An AI-Driven Approach

Multi-Sensor Fusion for Smart Fire Detection: An IoT Analytical Approach

Detecting Urban Anomalies: A Deep Dive into the UrbanIoT-Anomaly Dataset