… One can perceive that here machine learning is not the object of the research but the tool for
… made possible by machine learning. We argue that current progress in machine learning for …

… an important role in knowledge … , machine learning serves as basic tools for information
extraction, data pattern recognition and predictions. From the perspective of machine learning, …

… investigation of various machine learning techniques used for … the current machine learning
and deep learning models that … learning methods taking precedence over machine learning …

… the machine learning … machine, K-nearest neighbor, K-means clustering, decision tree, and
random forest. In this work, many previous studies were reviewed that used machine learning …

Background Interest in the application of machine learning (ML) to the design, conduct, and
analysis of clinical trials has grown, but the evidence base for such applications has not …

… Artificial Intelligence (AI)–based technologies have played a substantial role in solving
complex … a systematic review of the literature on the role of AI as a comprehensive and decisive …

Machine Learning (ML) represents a pivotal technology for … not allow us to identify the role of
ML in cybersecurity. The full … provide a holistic understanding of the role of ML in the entire …

… Machine Learning plays a vital role in Intrusion Detection in WSN using some of the Machine
Learning … Machine Learning algorithms play a major role in different areas and there are …

… Due to the petroleum industry's unfulfilled demand, Machine Learning (ML)-assisted
industry workflow in the fields of drilling optimization and real time parameter analysis and …

… This is where the prerequisite for machine learning comes … the different methods of machine
learning that deal with the … The taxonomy of machine learning algorithms is described in …