Building a Cloud Classification System with TensorFlow Lite and Home Assistant

Discover how I built a cloud classification system using TensorFlow Lite and integrated it with Home Assistant. This project uses an Allsky camera, an ODroid C2, and the CCSN dataset to classify cloud types with 90% accuracy. Learn about the process, from model training to deployment and integration with Home Assistant for real-time weather monitoring and automation.
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The Impact of GPS Spoofing in the Middle East

Recent research by Vasilis Ieropoulos sheds light on the severe implications of GPS interference—whether through spoofing or jamming—on both weather balloon tracking and air traffic control systems in the Middle East. This post explores the findings of this study and discusses the broader implications for aviation safety and meteorological accuracy.
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An introduction to Weights and Biases

Machine learning and deep learning models have become ubiquitous in many fields of research and industry. However, training and tuning these models can be a time-consuming and challenging task.
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Single Board Computing cluster

Single-board computers (SBCs) have become increasingly popular in recent years due to their compact size, low power consumption, and versatility. With advancements in SBC technology, it has become possible to…
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