Titlebook: Context-Aware Systems and Applications; 11th EAI Internation Cong Vinh Phan,Thanh Dung Nguyen Conference proceedings 2023 ICST Institute fo

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opprobrious

Donald M. Hilty,John Torous,Steven R. Chan the core problems of the recommender systems, there are many proposals with the different approaches, it shows the characteristics of each recommendation system, commonly used measures such as: the measure Cosine, the measure Pearson, the measure Jaccard, etc. However, there have not been many stud

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Francesca Lanz,Jacopo Leverattoces, toxic substances are negatively affecting consumers’ health, the solution of the traceability of manufactured products acts as an essential quality management tool to ensure the safety of providing complete information for products. However, current solutions data is stored centrally on a group

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artifice

endocardium

補(bǔ)助

Intimate Partner Violence and Victims,mportant factor determining the success of control measures. To support accurate identification of cucumber leaf diseases, we proposed a machine learning method to identify powdery mildew diseases, downy mildew diseases, blight diseases, and anthracnose diseases on cucumber leaves. Most of the featu

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Esther Mavengano,Tobias Marevesaf diagnostic methods with the support of electronic devices and information technology can help doctors save time in diagnosing and treating diseases, especially medical images. Diagnosis of lung lesions based on lung images is a case study. This paper proposed a method for lung lesion images classi

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https://doi.org/10.1007/978-3-031-12938-4 Similar measures are essential in providing valuable recommendations to users in such systems. This work presents a novel approach, namely ., with a new similarity metric using a balltree structure for recommender systems. Furthermore, we want to leverage the tree structure to determine the closest

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