By rethinking how cities use everyday technology, machine learning can unlock hidden environmental data from ordinary video footage.

Random Forest Classifier’s adaptability and durability make it a useful tool for producing precise and reliable forecasts. Now Random Forest Architecture (3) is given below. The Random Forest ...

By Stephen Wallis This article is part of our Design special section about innovative surfaces in architecture ... who calls his creations Vertical Forests. The original Vertical Forest ...

A random forest, to be able to reach high accuracies ... and trained from scratch outperforms the more complex models in terms of classification accuracy; the used architecture is similar to LeNet.

In section Methodology, the architecture of the proposed algorithm ... the largest value among the five neurons will be deemed as the classification output. On the other hand, the Random Forest ...

Thus, application of RF in general requires careful tuning of the relevant classifier parameters [24]. Bosch et al. [25] demonstrated that using random forests/ferns with ... the number of neurons and ...

To evaluate our classification, we use a novel patient-specific training protocol in conjunction with the MIT-BIH database and the recommendation of the AAMI to train the classifiers. The classifiers ...