Nowadays, the volume of online information is growing and it is difficult to find the required
information. Effective strategies such as recommender systems are required to overcome …

The main reason for agricultural productivity decline is farmers' failure to choose the
appropriate crop for their soil. It is important for farmers to understand which crops are …

Recently, recommender systems have been combined with healthcare systems to
recommend needed healthcare items for both patients and medical staff. By monitoring the …

Cabbage (Brassica oleracea) is a green cruciferous vegetable. Major nutrients (nitrogen,
phosphorus, and potassium) are frequently applied to the soil due to low fertility levels …

A group recommender system (GRS) generates suggestions for a group of individuals,
considering not only each person's preferences but also factors such as social dynamics …

The tourism industry increasingly employs sensors and machine learning for tasks such as
demand prediction and mobility forecasting. However, some challenges in data collection …

This paper introduces a novel solution for personal recommendation in consumer electronic
applications. It addresses, on the one hand, the data confidentiality during the training, by …

This paper presents an innovative solution for personalized recommendations in consumer
electronics, addressing data confidentiality through federated learning mechanism, and …

The traditional method of detecting crop nutrients is based on the direct chemical detection
method in the laboratory, which causes great damage to crops. In order to solve the above …

The demand for sustainable agricultural practices continues to rise, highlighting the need for
precise crop and fertilizer recommendations to optimize yield while minimizing …