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  • Disaster simulation 
    Munagala, Deepak; Sujit, PB (Advisor) (IIIT-Delhi, 2017-07-25)
    Disaster simulations can be used to better prepare the disaster management relief forces. Through simulation, we can find out how buildings and people react to oods, measure the scale of destruction during disasters, and ...
  • Discriminative framework for single channel audio source separation 
    Gang, Arpita; Biyani, Pravesh (Advisor) (2016-09-13)
    Sound sources are a very common everyday occurrence. But a single audio source is seldom heard alone. There is a sea of applications, like speech recognition, where an isolated sound source is desirable. This makes audio ...
  • Disease diagnostic classifier for chronic lymphocytic leukemia using genomic data 
    Grover, Sonakshi; Gupta, Anubha (Advisor); Gupta, Ritu (Advisor) (IIIT-Delhi, 2017-11-16)
    This project involves the identification of miRNAs that are differentially expressed across Indolent Vs Progressive and Case Vs Control samples in Chronic Lymphocytic Leukemia (CLL). For this, we have analysed miRNA ...
  • Disentangling latent factors of variation for visual data 
    Talwar, Divyanshu; Anand, Saket (Advisor) (IIITD-Delhi, 2018-12-31)
    Disentangling higher level generative factors as disjoint latent dimensions offer several benefits such as ease of deriving invariant representations, targeted data augmentation with style transfer, better interpretability ...
  • A distributed strategy for human-in-the-loop task servicing using multiple robots with stationary base station connectivity constraint 
    Maini, Parikshit; Sujit, PB (Advisor) (IIIT Delhi, 2014-09-05)
    Mobile robots are increasingly being used for tasks like remote surveillance, sensing and maintenance. Some of these tasks are critical and require intelligent decision making for successful completion. It is not always ...
  • DOA estimation via hardware-software co-design 
    Sharma, Somya; Gupta, Mansi; Darak, Sumit J. (Adviosr); Joshi, Himani (Advisor) (IIIT- Delhi, 2021-05)
    The deployment of cellular spectrum in licensed, shared and unlicensed spectrum demands wideband sensing over non-contiguous sub-6 GHz spectrum. To improve the spectrum and energy efficiency, beam forming and massive ...
  • Dolphin : a cellular voice based internet shutdown resistance system 
    Sharma, Rishi; Chakravarty, Sambuddho (Advisor); Maity, Mukulika (Advisor) (IIIT-Delhi, 2022-07)
    Traditional censorship revolves around blocking access to some websites (or services) over the Internet. However, recently there has been a rise in the events of an extreme form of censorship viz., deliberate Internet ...
  • Duopoly competition in presence of free trial 
    Sachdev, Anvit; Kanjilal, Kiriti (Advisor) (IIIT- Delhi, 2021-05)
    A very common business strategy in the market of goods is to provide a free trial version of their good or service. This is done to increase the demand as well as the brand value of the product. Some common examples of ...
  • Dynamic access control for the internet of things 
    Batra, Manav; Naik, Vinayak (Advisor) (2017-07-05)
    With the term coined in 1985, Internet of Things (IoT) has been an idea that was always on the minds of researchers but not quite there yet in implementation. However, with the heavy penetration of the Internet in the world ...
  • Dynamic memory management for resource contrained next generation wireless sensor nodes 
    Das, Supratim; Singh, Amarjeet (Advisor) (2014-07-10)
    Wireless Sensor Nodes are very low power resource constrained devices with limited radio communications ability. As the technology is evolving at a rapid pace, more and more complex protocols and applications are integrated ...
  • Dynamic stochastic general equilibrium -heterogenous agent new keynesian (DSGE-HANK) models for monetary and fiscal policy analysis 
    Sarmah, Deepam; Kanjilal, Kiriti (Advisor) (IIIT-Delhi, 2023-11-29)
    Dynamic Stochastic General Equilibrium (DSGE) models are the workhorse of modern macroeconomics. They are used to study the effects of monetary and fiscal policy, and to understand the sources of business cycle fluctuations. ...
  • E-Nav: route augmentation platform : a geo-locative audio playback platform for toursim 
    Monga, Sargam; Mohania, Mukesh (Advisor); Mondal, Anirban (Advisor) (IIIT-Delhi, 2021-12)
    Starting from the location of the desired destination, how far it is or other tourism services around the destination to the booking of various travel services and accommodation, GIS along with the power of information ...
  • E-ticketing | festavesta 
    Singh, Ankur; Swami, Herrman; Mor, Prikankshit; Narayan, Priyank (Advisor) (2017-04-18)
    FestaVesta.com is an event ticketing and management company that helps you organize better events with our technologies. We make various kinds of registrations, entry and management solutions for events and also help you ...
  • EATM 
    Pruthi, Parikshit Kumar; Girsa, Rajan; Butta, Shubhankar R.; Biyani, Pravesh (Advisor) (IIITD-Delhi, 2019-11)
    EATM is an automated vending machine that uses several machine learning and computer vision techniques for object detection. It is a similar model to Amazon Go and uses mainly camera and RF system for object detection. ...
  • Econometric analysis of cropland use decisions in India 
    Ramalingam, Anirudh; Arora, Gaurav (Advisor) (IIIT-Delhi, 2022-12-16)
    Satellite land use land change (LULC) data and district-level administrative data indicate an intensification of cropland usage (single to multi-crop transition) in India between 2005-06 to 2018-19. This study attmepts to ...
  • Economic incentive-based schemes for improving data availaility in mobile-p2p environments 
    Padhariya, Nilesh; Mondal, Anirban (Advisor) (2015-09-02)
    In a Mobile ad hoc Peer-to-Peer (M-P2P) network, mobile peers (MPs) interact with each other in a peer-to-peer (P2P) fashion. Proliferation of mobile devices (e.g., laptops, PDAs, mobile phones) coupled with the ever-increasing ...
  • Edge AI for 5G 
    Sahoo, Piyush Ranjan; Rajoria, Romesh; Darak, Sumit J. (Adviosr); PAU, Danilo (Advisor) (IIIT- Delhi, 2021-05)
    With recent advancements in AI algorithms, data processing for AI applications is primarily done in a cloud-based data center with deep-learning models that require massive computing capacity. The decision-making process ...
  • Edge computing for traffic surveillance 
    Shukla, Paritosh; Makkar, Rohit; Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2022-05)
    With increase in urbanization, there’s a need for better transportation systems, in terms of their efficiency. To do this, an important technique is to use the running of computer vision algorithms for identifying obstructions ...
  • An effective and efficient methodology for SoC power management through UPF 
    Anusha, Renduchinthala; Deb, Sujay (Advisor) (2016-09-12)
    With technology scaling and increase of chip complexity, power consumption of chip has been rising and its power architecture is getting complicated. Many power management techniques like power gating, multi-voltage, ...
  • An efficient algorithm to measure quality and quantity of sleep using smartphone 
    Gautam, Alvika; Naik, Vinayak (Advisor) (2014-07-17)
    Sleep quality and quantity a ects an individual's personal health. Polysomnography (PSG) is the conventional approach for sleep monitoring. PSG has several limitations in terms of sleep monitoring by a regular user. A ...

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