If you’ve ever tried to build a agentic RAG system that actually works well, you know the pain. You feed it some documents, cross your fingers, and hope it doesn’t hallucinate when someone asks it a ...
Computer vision systems combined with machine learning techniques have demonstrated success as alternatives to empirical methods for classification and selection. This study aimed to classify tomatoes ...
Abstract: The study's objective is to assess how well the decision tree algorithm and the logistic regression algorithm classify photographs of fire and smoke. A total of 4,000 photos are captured, of ...
Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
There is indeed a vast literature on the design and analysis of decision tree algorithms that aim at optimizing these parameters. This paper contributes to this important line of research: we propose ...
In March 2021, a driver in Charlton, Massachusetts, plunged his car into Buffumville Lake while following GPS directions. Rescue teams were called to recover the completely submerged vehicle from 8 ...
I had a very interesting discussion about decision trees recently and I thought it worth my time to explore use cases. A simple terminal-based decision tree implementation that processes structured ...
Abstract: Traffic offences are characterised by high complexity and low sentencing accuracy in the ordinary prosecution sentencing process. Decision tree algorithm is a more effective sentencing ...
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