in tourism, like any other service industry, the people offering service are a constituent part of the product, and their expertise, theoretical knowledge, and job skills undeniably affect the quality of services. hence, composition and implementation of human resource development strategies is of a great importance and education/training, therein, plays a major part. higher education, compared...

In order to establish an online diagnostic system for Learning Style Estimation that contributes to the adaptation of learning objects, we propose an easily applicable expert system founded on Bayesian Networks. The proposed system makes use of Learning Style theories and associated diagnostic techniques, simultaneously avoiding certain error sources. It takes under consideration learners’ answ...

This paper presents an integrated aerial system for the identification of Amazonian Moriche palm (Mauritia flexuosa) in dense forests, by analyzing UAV-captured RGB imagery using a Mask R-CNN deep learning approach. The model was trained with 478 labeled palms, transfer technique based on well-known MS COCO framework©. Comprehensive in-field experiments were conducted yielding precision 98%. pr...

introduction: learning and study strategies are considered to be among the factors affecting students’ performance and also are essential for appropriate educational interventions. this study was conducted to determine the relationship between learning and study strategies and academic performance of students in alborz university of medical sciences. methods: in this descriptive, analytical, cr...

today, the effective inventory management plays an important role in the success of the organizations in the new business environment. it is not clearly possible for the organizations that store hundreds of inventory items to economically design an inventory management policy for each inventory item separately. moreover, various inventory items may play quite different roles in the business of ...

Recommender systems, especially the newly launched ones, have to deal with the data-sparsity issue, where little existing rating information is available. Recently, transfer learning has been proposed to address this problem by leveraging the knowledge from related recommender systems where rich collaborative data are available. However, most previous transfer learning models assume that entity...

Radio Frequency Identification (RFID) is a potent technology that manufacturing enterprises can deploy to enhance supply chain management, inventory control and asset management effectiveness. However, counterfeit prevention is seldom addressed in these RFID applications. The quality image of reputable manufacturers is vulnerable to the damage caused by the expanding flow of counterfeit product...