Browsing Year-2018 by Title

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  • Code variants and their retrieval using knowledge discovery based approaches 
    Vinayakarao, Venkatesh; Purandare, Rahul (Advisor) (IIIT-Delhi, 2018-04)
    Code variants represent alternative implementations of a code snippet, where each alternative provides the same functionality, but has different properties that make some of them better suited to the overall project ...
  • Detecting anomalous energy consumption in buildings using smart meter data 
    Lone, Haroon Rashid; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2018-12)
    Buildings consume 50% of the total available electrical energy. Studies show that up to 20% of the energy gets waste due to several reasons such as appliance misconfigurations, faults, and abnormal user behavior. The ...
  • Digital forensics 2.0: an automated, efficient, and privacy preserving digital forensic investigation framework 
    Verma, Robin; Gupta, Gaurav (Advisor); Chang, Donghoon (Advisor) (IIIT-Delhi, 2018-05)
    The current state of digital forensic investigation is continuously challenged by the rapid technological changes, the increase in the use of digital devices (both the heterogeneity and the count), and the sheer volume of ...
  • Forensics enabled secure mobile computing system for enterprises 
    Govindaraj, Jayaprakash; Gupta, Gaurav (Advisor); Chang, Donghoon (Advisor) (IIIT-Delhi, 2018-05)
    The enterprises are facing constant security threats with the emergence of new mobile computing devices like smartphones, smartwatches, and wearables. The existing digital forensic enabled security solutions are not able ...
  • Middleware systems and analytics for energy management in buildings 
    Arjunan, Pandarasamy; Singh, Amarjeet (Advisor); Singh, Pushpendra (Advisor) (IIIT-Delhi, 2018-03)
    As one of the largest consumers of overall energy, buildings have emerged as attractive targets for using information and communications technologies to advance large-scale sustainability goals. With increasing availability ...
  • PickMe : task allocation in mobile crowdsensing 
    Bajaj, Garvita; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2018)
    I am eternally grateful to a lot of people who, in no particular order, have helped me get through the tough times during the course of this dissertation. I have no words to thank my lovely parents who have always taught ...
  • Unraveling representations for face recognition : from handcrafted to deep learning 
    Goswami, Gaurav; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (IIIT-Delhi, 2018-11)
    Automatic face recognition in unconstrained environments is a popular and challenging research problem. With the improvements in recognition algorithms, focus has shifted from addressing various covariates individually to ...

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