… algorithmic models. In this paper, we are going to highlight the most fundamental concepts of
ML categories and Algorithms. We … , a new taxonomy of ML algorithms is provided. We also …

… learning algorithms, we would be able to choose the best machine learning algorithm that
… Unlike similar surveys regarding machine learning and IoT, readers of this article would be …

… [17] analyzed the deep learning algorithm on wearable IoT devices to process … Learning-based
privacy-aware offloading for healthcare IoT with energy harvesting,” IEEE Internet Things …

… the performance of the traditional machine learning algorithms on the IoT datasets. To this …
five well-known machine learning algorithms on real IoT datasets. The algorithms are NB [32][…

… In the literature, the learning algorithm is often referred to as a training set or training model.
Thus, learning algorithms are technically grouped into three main categories of learning (…

… When compared with other deep learning algorithms of the same type, … deep learning
algorithms. In conclusion, when deep … under data physical fusion technology,” IEEE Internet …

… level statistics and used them as features to train machine learning algorithms. The ground
truth is obtained by manually … How to choose machine learning algorithms is also heuristic. …

… Machine learning and deep learning algorithms on IIoT will … Mostly it is referred as an outcome
of internet of things (IoT) … various machine learning and deep learning algorithms and their …

… models, namely, CNN, LSTM, and combined CNN-LSTM algorithms. We have significantly
expanded the framework to integrate a deep learning algorithm to familiarize it with changing …

… This paper empirically evaluates the several machine learning algorithms … learning
algorithms, has been done. The analysis mainly focuses on various machine learning algorithms …