Due to the advantages of Synthetic Aperture Radar (SAR), study Automatic Target Recognition (ATR) has become a hot topic. Deep learning, especially in case Convolutional Neural Network (CNN), works an end-to-end way and powerful feature-extracting abilities. Thus, researchers SAR ATR also seek solutions from deep learning. We review related algorithms with regard this paper. firstly introduce c...

Machine Learning (ML) has emerged as an attractive and viable technique to provide effective solutions for a wide range of application domains. An important domain is vehicular networks wherein ML-based approaches are found be very useful address various problems. The use wireless communication between nodes and/or infrastructure makes it vulnerable different types attacks. In this regard, ML i...

Abstract The aim of this study is to comprehensively evaluate quantitative experimental mobile-assisted language learning (MALL) studies published between 1994 and 2019 that meet minimal conditions research design statistical analysis. Starting with a bibliographical database 1,144 references MALL implementations, which there were 700 objectively substantiated by outcomes, only 84 met the inclu...

Barry J Zimmerman considered that self-regulated learning is an active process including strategy use, metacognition, and motivation. Self-regulation failure the core problem of academic procrastination, which seriously threatens success. The present research aims to provide a complete outline SRL catch trends current hotspots. VOSviewer Bibliometric software was used analyze data from Web Scie...

Deep learning has emerged as a powerful machine learning technique that learns multiple layers of representations or features of the data and produces state-of-the-art prediction results. Along with the success of deep learning in many other application domains, deep learning is also popularly used in sentiment analysis in recent years. This paper first gives an overview of deep learning and th...

The comprehensive assessment model considers the financial and non-financial aspects as balanced scorecard. Also, for more comprehensive results of the investigation, four aspects of the balanced scorecard were used and then by using fuzzy Delphi technique and experts' opinions, the standard aspects of each were achieved in two stages. To determine the importance of each aspect of BSC, the proce...