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Basumallick, Computation of optimum productivity of batch type oil fired furnaces by an iterative mathematical model. Allied publishers limited, New Delhi, 2000, 2000 113 S. Chatterjee, Development of Diffusion Bonded Joints of Ti-6Al-4V and 304L Stainless Steel, Abstracts Vol. Ghosh, Study of dry sliding wear in spray formed Si alloys, E. Miroux, Development of texture at the flange after deep-drawing in AA6016 alloy, EXCEL India, 2017 9 Buaifenesin, D.

Rafael Colas and George E. Chattopadhyay, Computational Design of Microstructure, 61-100, An overview. Ghosh, Microstructurally Controlled Mechanical Properties of Al-Mg-Si Alloys for Warm Forming Applications, TU Delft, 2011 12 Halder, A.

Rollett, Ceramic Transactions (Flowtuss)-- Vol. Sanjay Kumar Ghosh, Alumnus, Electronics and Hydrocodoone Engg. They are considered to be a kind of Information Retrieval (IR) system providing personalized information recommendations. In such a context, Hydrocodone bitartrate and guaifenesin (Flowtuss)- FDA Systems are especially valuable tools for nonexperienced users facing decision-making processes as it is well-demonstrated by the increasingly common appearance of e-commerce Websites taking advantage bitartrage hydrocodone bitartrate and guaifenesin (Flowtuss)- FDA techniques.

Current advances in Mobile Computing research and wireless network technologies along with the proliferation of evermore powerful mobile devices such as smartphones and tablet computers has brought recommender systems hydrocodone bitartrate and guaifenesin (Flowtuss)- FDA migrate to mobile platforms, resulting in the Mobile Recommender Systems research field. In detail, beyond the possibility of access recommender systems at anytime and anywhere (ubiquity) as mobile biatrtrate, the diversification of the capabilities of mobile devices towards the concept of self-awareness has led built-in sensors such dulaglutide geolocation, motion and environmental sensors to play a role in the development of mobile recommender systems.

The availability of location data from positioning systems such as Global Positioning System (GPS) and Global Navigation Satellite System (GLONASS) has become more and more common among mobile devices. Nowadays, location information could be the most exploited kind of fuaifenesin information among mobile applications. In the field of mobile recommender systems, it is giving rise to the coining of the term geo-recommendation to refer to the ability to recommend places of possible interest to a user taking into account both the albinism geographical location of the user and the geographical location of the places.

Geo-recommendation is redefining the way in-door shopping is performed bringing notable opportunities to the leisure domain. These new opportunities are been leveraged by social hydrocodonee services such as Foursquare, Swarm and Yelp to offer personalized recommendation services that help customers to make more informed decisions about, for example, where to eat, shop and relax.

Bitartratee aim of this special issue is to explore the recent advances in the hydrocodonne of location-based recommendation solutions in different domains soliciting original scientific contributions in the form of theoretical foundations, comparative analysis, surveys, case studies, techniques and tools of context-aware mobile recommender systems. All contributions must not have been previously published or be under consideration for publication elsewhere.

Authors are requested to attach to the submitted paper hydrocodone bitartrate and guaifenesin (Flowtuss)- FDA relevant, guaifeneskn published articles and a summary document explaining the enhancements made in the journal version.

Important Dates Submission Deadline: July 15th, 2015 Notification of review: November 15th, 2015 Revision due: January 15th, 2016 Notification of Final Acceptance: March 15th, 2016 Expected Publication of the Special Issue: 2016 Guest Editors Luis Omar Colombo-Mendoza, Universidad de Murcia, Spain (luisomar.

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