2005); Tea leaves (Singh and Rastogi 2004); Bamboo (Hameed and El-Khaiary 2008a); Jute fiber (Porkodi and Vasanth Kumar 2007) and waste printed circuit boards (Kan et al. 2015), etc. In addition, Table 4 presented various commercially available and agricultural waste based activated ...
Thus, dissimilar deep-learning novels gain very good outcomes to extract the essential high-level features that can be proper for recommendation services. Recent advances in recommender systems based on deep learning, by overcoming the challenges of traditional techniques and gaining great recommended ...