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  • Computer vision applications in wildlife conservation 
    Aggrawal, Palash; Anand, Saket (Advisor) (IIIT-Delhi, 2020)
    Monitoring of protected areas to curb illegal activities like poaching and animal trafficking is a monumental task. To augment existing manual patrolling efforts, unmanned aerial surveillance using visible and thermal ...
  • Conceptualization, analysis, and design of miniaturized EBG surfaces and antenna for WBAN applications 
    Rano, Dinesh; Hashmi, Mohammad S. (Advisor) (IIIT-Delhi, 2020-06)
    A network of wearable, implantable,and body-worn devices are collectively known as Wireless Body Area Network (WBAN). These networked devices comprising the WBANs are frequently used in the monitoring and tracking of the ...
  • Confidentiality protection in crowdsourcing 
    Saxena, Simran; Kumaraguru, Ponnurangam (Advisor); Dubey, Alpana (Advisor); Buduru, Arun Balaji (Advisor); Sachdeva, Niharika (Advisor) (IIIT-Delhi, 2018-04)
    Crowdsourcing is the practice of getting information or input for a task or project from a number of people by floating out the task at hand to a pool of people who are usually not full-time employees. Use of Crowdsourcing ...
  • Constacyclic codes over finite commutative chain rings 
    Sidana, Tania; Sharma, Anuradha (Advisor) (IIIT-Delhi, 2020-07)
    Constructing codes that are easy to encode and decode, can detect and correct many errors and have a sufficiently large number of codewords is the primary aim of coding theory. Several metrics (e.g. Hamming metric, Lee ...
  • Consumer privacy and targeted pricing with stochastic valuations 
    Mishra, Shreemoy (2014-07-16)
    I study the market for consumer information. Firms cannot commit to privacy, so buyers anticipate disclosure of purchase history for targeted pricing. In the literature, strategic rejections of informative o ers make ...
  • Content moderation across multiple platforms with capsule networks and co-training 
    Agarwal, Vani; Buduru, Arun Balaji (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2019-05)
    Social media systems provide a platform for users to freely express their thoughts and opinions. Although this property represents incredible and unique communication opportunities, it also brings along important challenges. ...
  • Content quality in web 2.0 services : analysis, detection, systems and enhancement 
    Correa, Denzil; Sureka, Ashish (Advisor) (2014-12-24)
    There has been a proliferation of Web 2.0 sites on the Internet. Contemporary Web 2.0 sites like Facebook and Twitter are primarily driven by user generated content (UGC). On the other hand, the volume of content by such ...
  • Context-aware face recognition 
    Kalra, Harshvardhan; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2018-07-06)
    Current face recognition systems make extensive use of class-wise disparate features drawn from faces in order to achieve state-of-the-art performances. However, there exists a multitude of information in a given image ...
  • Context-aware IVR : challenges and opportunities 
    Asthana, Siddhartha; Singh, Pushpendra; Singh, Amarjeet; Naik, Vinayak (2012-03-26)
    Voice based telecommunication services are emerging as most appropriate medium for information dissemination in developing regions, as they overcome prevalent low literacy rate and are more reachable than any other ...
  • Contextual emotion recognition 
    Butta, Shubhangi; Shukla, Jainendra (Advisor) (IIIT- Delhi, 2021-05)
    Emotion recognition via vision has been deeply associated with facial expressions, and the detection of emotions has, more often than not, been based on the same [7]. However, context plays an imperative role in emotion ...
  • Contextual feature based one-class classifier approach for detecting video response spam on YouTube 
    Chaudhary, Vidushi; Sureka, Ashish (Advisor) (2013-03-26)
    YouTube is one of the largest video sharing websites (with social networking features) on the Internet. The immense popularity of YouTube, anonymity and low publication barrier has resulted in several forms of misuse and ...
  • Continuous time linear equalization based gigabit receiver for parallel interface 
    K, Tejaswini; Bahubalindruni, Pydi Ganga Mamba (Advisor); Mathur, Shiv Harit (Advisor) (IIIT-Delhi, 2018-05)
    Modern processors are capable of working at a very high frequency with the advent of technology scaling. However, memory limits the overall speed of operation. In order to take complete advantage of these modern ...
  • Contributions in computer assisted diagnosis : breast cancer and autoimmune diseases 
    Agrawal, Praful; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (2014-05-19)
    With the advent of research, it has been established that many leading diseases among women, such as breast cancer, cervical cancer, and autoimmune diseases, can be prevented if diagnosed at initial stage. This research ...
  • Cooperative control strategies for autonomous agents using nonlinear model predictive control 
    M, Amith; Sujit, PB (Advisor) (IIIT-Delhi, 2023-04-17)
    Autonomous aerial vehicles (AAVs) are extensively used in civilian and military applications like aerial surveying, search and rescue, transportation, border patrolling, etc. In most applications, achieving the objectives ...
  • Cooperative device to device communication in a heterogeneous cellular network 
    Shrivastava, Parth; Bohara, Vivek Ashok (Advisor) (2016-11-17)
    This report analyzes the performance of a Cooperative Device to Device Communication in a Heterogeneous Cellular Network. In the proposed work, a heterogeneous network is considered where the base station of the macro cell ...
  • Cooperative spectrum sharing with two-way relaying 
    Mittal, Saloni; Bohara, Vivek Ashok (Advisor) (2016-09-13)
    Modern wireless communication seeks more capacity and higher data rates as the cellular technology evolves from one generation to next generation standards (for instance 3G to 4G, and from 4G to presumably 5G). As a ...
  • Corpora evaluation and system bias detection in multi document summarization 
    Dey, Alvin; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2020-06)
    Multi-document summarization (MDS) is the task of reflecting key points from any set of documents into a concise text paragraph. In the past, it has been used to aggregate news, tweets, product reviews, etc. from various ...
  • Counterfactual inference framework for joint estimation of medical costs, treatment effect and time-to-event 
    Khan, Zuber; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2022-12)
    Optimal treatment selection is extremely crucial in emergency situations such as for a patient admitted in ICU. However, the chosen medical treatment may not necessarily be a financially favorable choice. In some of the ...
  • Coupled deep learning for multi-modal retrieval 
    Keswani, Sumit; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (2017-04)
    In past few years, cross-modal information retrieval has drawn much attention due to significant growth in the multimodal data. It takes one type of data as the query to retrieve relevant data of multiple modalities. For ...
  • Course recommendation and management system 
    Garg, Avi; Agrawal, Divyam; Shah, Rajiv Ratn (Advisor) (IIIT- Delhi, 2021-05)
    Registration of courses through the current ERP system in place at the institution, poses several problems. Selecting courses based on multiple criteria like credit requirements, degree requirements, timing clashes, ...

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