Belghini Naouar

Work place: Institut Supérieur de Génie Appliqué IGA, Morocco



Research Interests: Machine Learning, Neural Networks, Pattern Recognition, Image and Sound Processing


Naouar Belghini is a doctor of computer sciences from Sidi Mohamed Ben Abdellah University (Fez-Morocco); she received her Ph.D. degree in 2013 in the field of biometric authentication using facial data. Her research interests include machine learning, pattern recognition, neural networks, etc.

Author Articles
Improving the Proactive Recommendation in Smart Home Environments: An Approach Based on Case Based Reasoning and BP-Neural Network

By Gouttaya Nesrine Belghini Naouar Begdouri Ahlame Zarghili Arslane

DOI:, Pub. Date: 8 Jun. 2015

Providing spontaneously personalized services to users, at anytime, anywhere and through any devices represent the main objective of pervasive computing. Smart home is an intelligent environment that can provide dozens or even hundreds of smart services. In this paper, we propose an approach to present spontaneously and continuously the most relevant services to the user in response to any significant change of his context. Our approach allows, firstly to assist proactively the user in the tasks of his/her daily life and secondly to help him/her to save energy in the smart home environment. The proposed approach is based on the use of context history information together with user profiling and machine learning techniques. Experimental results show that our approach can efficiently provide the most useful services to the user in a smart home environment.

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