… However, most of the articles covered in this review have applied traditional machine
learning … We provide this comprehensive literature survey to highlight the great potential now …

… A brief study of the fundamental concepts of AI, ML, and DRL techniques have been
developed. We explored the effective role of the aforementioned protocols to design near-optimal …

… as a case study for the urban flow prediction task. In Section 4, we analyze and compare some
… into five categories, ie statistics-based, traditional machine learning-based, deep learning-…

… Finally we conclude this survey in Section 6. The main contributions of this survey are as
follows. First, to the best of our knowledge, this is the first survey about using deep learning …

… In this paper, we hope to provide a comprehensive review of the state-of-the-art deep
learning-based methods for HSI classification with few labeled samples. First, instead of separating …

… quantitative models with deep learning components to improve … promising future research
directions in deep learning for time … methods in deep learning, we note that our survey is by no …

… The present study compared the potential of the machine learning algorithm, ie, SVM and
Random forest on the … The features for machine learning are not changed during training. …

… Machine learning (ML) techniques have been utilized to handle this difficulty in real-life
applications. This paper presents a study to … articles, and observations provided in this study will …

… This study surveys stateoftheart deep-learning methods in defect … Second, recent mainstream
techniques and deep-learning … analyze the application of ultrasonic testing, filtering, deep …

… As data are a vital part of ML and benchmark datasets a decisive factor for the success of AI
research, 1 we believe our survey is serving to fill a gap in the extant research. In this survey, …