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Browsing Faculty of IT & Computer Science by Title

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  • Virpura, Digvijay; Swaminarayan, Priya (International Journal of Advance Research in Computer Science and Management Studies | Volume 5 | Issue 3, 2017-03)
    As we are moving ahead in the Oracle Application Express technology, this paper is specifically focus on the possibilities and other aspects of implementing Application Life Cycle Management (ALM) and Version Control System ...
  • Patel, Mitangi; Pandya, Sharnil; Patel, Satvik (International Journal for Scientific Research & Development | Volume -4 | Issue-10, 2016)
    Internet of things will foster billions of devices, people and services to interconnect and exchange information and data. The number of sensors getting deployed around the world due to emergence of Internet of things. In ...
  • Patel, Sejal; Singh, Narendra (International Journal for Scientific Research & Development | Volume -4 | Issue-10, 2016)
    With the increase use of internet there are various malicious entry point which is affected to sensitive information. To access the patient’s medical parameters in local and remote area, healthcare communication using ...
  • Bhowmik, Chiranjib; Zindani, Divya; Bhowmik, Sumit; Ray, Amitava (Soft Computing: Theories and Applications | Volume- | Issue-, 2020-02)
    This paper aims to propose an integrated methodology based on the theory of constraint (TOC), lean thinking (LT), and six-sigma (SS) into a single evaluation model to select the best supplier under various qualitative and ...
  • Desai, Mittal N. (International Journal of Advance Engineering and Research Development | Volume 3 |Issue 11, 2016-11)
    The future of the Internet is not only limited to connecting people but beyond that it connects all the things orobjects around us, using technology Internet of Things. In this paper it visualized that future Internet is ...
  • Srivastava, Nishtha; Kumari, Neeshu (JETIR | Volume-6 | Issue-4, 2019-04)
    In this paper, we present TwiSent, a sentiment analysis system for Twitter. Based on the topic searched, TwiSent collects tweets pertaining to it and categorizes them into the different polarity classes positive, negative ...

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