Deep learning-based image segmentation methods require densely annotated and massive datasets to produce effective results.On the other hand, active contours-based methods are excellent alternatives to the situation, producing acceptable segmentation results.Earlier active contour models, including local and global region information, struggle with
The formation of novel chiral bidentate phosphoroamides structures able to promote Lewis base-catalyzed Lewis acid-mediated reactions was investigated.Two different classes of Cookie Cutter phosphoroamides were synthetized: the first class presents a phthalic acid/primary diamine moiety, designed with the aim to perform a self-assembly recognition
This study examined content of YouTube videos on cassava production and processing posted in Nigeria between 2009 and 2019.Purposive sampling method was used in selecting 155 YouTube videos with cassava production and processing contents.Primary data on video source, content, duration, quality, number of views, subscribers, likes, comments, present
Legal Judgment Prediction (LJP) study is experiencing a growing need for automating legal judgment process to predict court decisions.In this context, the present paper provides a systematic literature review of previous LJP study, implementing machine learning (ML) as decision-making and natural language processing (NLP) to extract information fro