The image shows the proposed IoT-enabled real-time building fire detection system, integrating MQ-2 smoke sensing, DHT11 temperature and humidity sensing, NodeMCU ESP8266 control, relay-based alarm ...

Wildfires are becoming more frequent and more intense worldwide. Fires often become infernos because of heat, drought and wind, especially in the summer. The problem is compounded by the climate ...

Abstract: Applications in the Internet of Things (IoT) utilize machine learning (ML) to analyze sensor-generated data. However, a major challenge lies in the lack of targeted intelligence in current ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

Abstract: The industrial Internet of Things (IIoT) is the use of Internet of Things (IoT) technologies in manufacturing which harnesses the machine data generated by various sensors and applies ...

The integration of AI and Machine Learning into injury prediction is transforming how researchers, clinicians, and sports ...

Implementing robust sensor security is essential in connected systems. Compromised sensors can feed corrupt, inaccurate data ...

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Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...

This project applies machine learning techniques to classify human physical activities using smartphone sensor data. The dataset contains accelerometer and gyroscope readings collected from ...

Front and center at Automate 2026, machine vision solution suppliers showed how vision systems are foundational to industrial automation. Explore some of the products ...

CarbonSix Inc., a developer of deploy-ready robotic artificial intelligence solutions, announced Wednesday it raised $40 ...