Learn how to turn old appliances into smart, Wi-Fi-enabled devices with ESP8266 and ESPHome. DIY automation made simple for your home.

Traditional machine learning methods like Support Vector Machines, Random Forest, and gradient boosting have shown strong performance in classifying device behaviors and detecting botnet activity.

More than three quarters of people in Cyprus used internet-connected devices in 2024, outpacing the EU average, official data showed on Thursday. Eurostat said 76.9 per cent of Cypriots aged 16–74 ...

Abstract: The Smart Automated Zebra Crossing System operationalizes Passive Infrared (PIR) sensors and Internet of Things (IoT) technology with IP camera-based headcount capabilities to foster ...

Integrating SCADA and IoT Heritage Petroleum, the largest oil producer in the Caribbean, used Cogent DataHub software in a ...

Abstract: In this paper, we propose NeuS-PIR, a novel approach for learning relightable neural surfaces using pre-integrated rendering from multiview image observations. Unlike traditional methods ...

A beginner-friendly IoT home automation system using NodeMCU ESP8266 and Blynk Cloud. Control up to 4 appliances remotely via smartphone using virtual pins and Wi-Fi. A fire detection and response ...

Cybersecurity today moves at the pace of global politics. A single breach can ripple across supply chains, turn a software flaw into leverage, or shift who holds the upper hand. For leaders, this ...

In this episode of New Zealand Channel Voices, Reseller News speaks with Rana Stephan, winner of the 2024 Women in ICT Achievement Award, about her 30-year journey in the technology sector and the key ...

Cyber threats and attacks like ransomware continue to increase in volume and complexity with the endpoint typically being the most sought after and valued target. With the rapid expansion and adoption ...