… , business, accounting, finance, marketing, economics, stock market, and law, among others
… , content analysis, and social network techniques. In this study, a state-of-the-art research …

… We also provide a summary of more than 40 popular datasets … analysis of the performance
of different deep learning models on popular benchmarks, and we discuss future research …

… This article surveys recent developments in deep learning based object detectors. Concise
overview of benchmark datasets and evaluation metrics used in detection is also provided …

… The aim of this survey is two-fold, firstly we present a structured and comprehensive overview
of research methods in deep learning-based anomaly detection. Furthermore, we review …

… units, Deep Learning has become a promising tool for intelligent bearing fault diagnosis.
This survey paper intends to provide a systematic review of Deep Learning based bearing fault …

… Then, we systematically categorize existing works based on a taxonomy along three axes: …
, we survey the most representative methods for recent applied techniques of deep learning in …

… test the different DL-based prediction models, enabling future … based on our comprehensive
survey, this study outlines several challenges that still remain to be addressed and research …

… research, we conducted a benchmark study to assess the performance of different applicable
machine learning … along with the traditional and deep learning ones and compared their …

… deep learning techniques for detecting small objects in images. We provide a comprehensive
review … We identify and analyze major challenges and summarize strategies for improving …

… great importance for financial markets. In … machine learning techniques to predict time series
and the acceptance of cryptocurrencies as financial instruments motivated the present study …