Recently, the robust continuous clustering (RCC) has been proposed for unsupervised data classification.The RCC algorithm integrates representation learning and clustering by seeking the balance of the distance of data between intra-cluster and inter-cluster.But the inter-cluster distance in RCC highly depend on the pairwise graph of neighbors, whi
The 3-year experiment was concerned with the response of spring forms of common wheat (Triticum aestivum L.subsp.aestivum), durum wheat (Triticum durum Desf.) and spelt wheat (Triticum aestivum subsp.spelta L.em.Thell.) to the foliar application of a plant growth stimulant (extract from marine algae Ecklonia maxima), with the commercial name of Kel
Urban multimodal transportation effectively meets the diversified travel demand of residents.However, it also generates extensive development problems such as traffic congestion, exhaust emissions and low operational efficiency.Therefore, there is an urgent need in urban sustainable development to achieve the coordinated and stable development of v
Harmonized composition data for foods and dietary supplements are needed for research and for policy decision making.For a correct assessment of dietary intake, the categorization and the classification of food products and dietary supplements are necessary.In recent decades, the marketing of dietary supplements has increased.A food supplements-bas
Hepatitis E has placed a heavy burden on China, especially in Jiangsu Province, so accurately predicting the incidence of hepatitis E benefits to alleviate the medical burden.In this paper, we propose a new attentive bidirectional long short-term memory network (denoted as BiLSTM–Attention) to predict the incidence of hepatitis E for all 13 citie