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Muhammad Younas

Researcher at Oxford Brookes University

Publications -  351
Citations -  4071

Muhammad Younas is an academic researcher from Oxford Brookes University. The author has contributed to research in topics: Web service & Chemistry. The author has an hindex of 26, co-authored 269 publications receiving 3099 citations. Previous affiliations of Muhammad Younas include University of the Sciences & HITEC University.

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Book ChapterDOI

Automatic Configuration of Mobile Applications Using Context-Aware Cloud-Based Services

TL;DR: This research displays new and novel contribution to the area of context-awareness in the cloud setup, and proposes and demonstrated principles in implemented applications, whereby context-aware information is harvested from several dimensions to build a rich foundation for context- Aware computation.
Journal ArticleDOI

Every Cloud Has a Push Data Lining: Incorporating Cloud Services in a Context-Aware Application

TL;DR: This experiment developed a system consisting of a mobile client, running on the Android platform, integrated with a cloud-based service, integrated using push messaging technology, which demonstrated the viability of using cloud- based services to provide an enhanced context-aware user experience.
Proceedings ArticleDOI

Synthesis of performance management mechanisms in modern e-commerce services

TL;DR: A new approach to the synthesis of performance management mechanisms is presented, which is contend, provides more effective way for managing the performance of modern E-commerce services.
Journal ArticleDOI

Mobile Web and service applications: guest editors’ introduction

TL;DR: The Web of today is a mature application consumption and development platform, but mobile services and applications are still in their infancy and only seldom at the level of quality of their desktop counterparts.
Book ChapterDOI

A TNATS approach to hidden web documents

TL;DR: Experimental results demonstrate that TNATS requires less processing time for information extraction than a tag tree representation and produces optimum results in terms of detecting Web page templates and extracting query-related information.