… Machine learning is closely related to computational statistics, which focuses on making … ,
statistical learning is not all machine learning. The discipline of machine learning benefits from …

… Machine learning techniques introduce non traditional solutions to the fingerprint … This
paper presents a short survey that emphasizes the implementations of basic machine learning …

… Despite all these reviews, this work proposes a systematic approach for … review based on
[4] guidelines. Also, this paper is limited to review only studies that used machine learning (ML) …

… It includes a short description of the algorithms and discusses its variants, if any, and …
machine learning algorithms for classification. Our aim was to prepare a comprehensive review of …

… applications of machine learning in AFC, highlights general ideas, and aims at offering a
basic outline for those who are interested in this specific topic. In this short review, we focus on …

… The major advantage of the naive Bayes classifier is its short computational time for
training. In addition, since the model has the form of a product, it can be converted into a sum …

… Using a suitable version of any of the model types mentioned in this review, one can induce
… The major advantage of the naive Bayes classifier is its short computational time for training. …

… In this paper, a comprehensive review of various ML methods and their applications in
short-reach optical communications are presented and discussed, focusing on existing and …

… a comprehensive review of state-of-the-art sustainable/energy-efficient machine-learning …
In short, it can therefore take on the inherent advantage of both the models while reducing …

… review from the perspective of machine learning is missing. In this paper, we review the
application of machine learning … This paper shows the potential of AI techniques for effective short…