IIIT-Delhi Institutional Repository

Browsing Computer Science and Engineering by Title

Browsing Computer Science and Engineering by Title

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  • Adaptive concurrency throttling in the exascale era 
    Gupta, Raghav; Kumar, Vivek (Advisor) (IIIT-Delhi, 2022-05)
    Future multi-core processors will be heterogeneous, be increasingly less reliable, and operate in dynamically changing operating conditions. Such environments will result in a constantly varying pool of hardware resources ...
  • Addressing coldstart problem in recommender systems 
    Banerjee, Shisagnee; Majumdar, Angshul (Advisor) (2016-09-15)
    In the following three chapters of my thesis, I have applied several methods to solve the coldstart problem in Recommender Systems. The coldstart problem is the situation where a user or item is new to a website and ...
  • Adversarial network mining 
    Sharma, Ansh Kumar; Kukreja, Rahul; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2021-12)
    Recent advancements in the field of graph representation learning and the introduction of algorithms like DeepWalk, LINE and Graph Convolutional Networks (GCNs) have helped achieve state-of-the-art results for tasks like ...
  • Adversary detection tool 
    Goel, Akhil; Singh, Anirudh; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIITD-Delhi, 2019-04-30)
    Extensive research on attacks on deep learning models has shown that these models are not as robust as they seem. A carefully designed low magnitude perturbation is enough to cause havoc and completely confuse the model. ...
  • Aerial pedestrian detection using vision based approach 
    Chaudhuri, Yashwardhan; Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2022-12)
    Aerial object detection is becoming increasingly popular since images with a large field of view provide higher information per pixel than images with a short field of view. It is popularly used for pedestrian detection ...
  • AI empowered personal digital assistant 
    Garg, Ritik; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2022-05)
    The number of tasks that we need to do is increasing day by day. A lot of time is wasted in planning the day and scheduling meetings with the seniors and colleagues. We plan to develop an AI algorithm to increase user ...
  • AI for ICU analytics 
    Gupta, Arushi; Sethi, Tavpritesh (Advisor) (IIIT- Delhi, 2021-05)
    The healthcare system is overburdened. There are just 1.34 doctors per 1000 patients in India. Intensive Care imposes the highest burden on healthcare systems all across the globe. A significant fraction of lives lost and ...
  • Air pollution and quality monitoring using IoT 
    Agarwal, Aman; Jain, Atulya; Kogta, Saloni; Naik, Vinayak (Advisor) (2017-04-18)
    Delhi has been ranked the most polluted city in the world. The air quality has been reported to be far above the safe limits. Our project aims to bring forth insights into the aspects that affect the quality of the air. ...
  • Airborne visual tracking and re-identi cation & obstacle avoidance using deep reinforcement learning for UAV's 
    Saini, Kunal; Subramanyam, A V (Advisor) (IIIT-Delhi, 2018-04-18)
    Visual tracking and person re-identification has gathered a lot of attention in computer vision due to its challenging nature and importance in surveillance applications. In this work, we explore the on-board visual tracking ...
  • AirOlfo - psychophysiological responses to olfactory stimulation 
    Gandhi, Pragya; Gupta, Aman Kumar; Wadhwa, Bhavey; Shukla, Jainendra (Advisor); Ahuja, Gaurav (Advisor) (IIIT-Delhi, 2021-12)
    Recent sherds of evidence collectively reinforce the importance of olfaction (the sense of smell) in attaining a good quality of life, primarily due to its well-established association with social, behavioral, and emotional ...
  • Algorithms for spatial colocation pattern mining 
    Baride, Srikanth; Goyal, Vikram (Advisor) (IIIT-Delhi, 2023-12)
    Spatial data mining is a specialized field that focuses on extracting meaningful insights and patterns from geographical or spatial data. One particular area of interest in spatial data mining is colocation pattern mining. ...
  • Amoeba : high performance and energy efficient community detection using multicore processors 
    Saini, Hardik; Kumar, Vivek (Advisor); Chakrborty, Tanmoy (Advisor) (IIIT-Delhi, 2021-05)
    Detecting an accurate community structure is a central problem in network analysis. With the popularity of social networking sites, a community detection algorithm's performance and energy efficiency are equally vital for ...
  • Analysing hyperbolic representations for use in recommendations in social networks 
    Kalra, Pankil; Buduru, Arun Balaji (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2021-05)
    Recommender systems play an important role in helping online users find relevant information by suggesting content that can be of potential interest to them. Different Social networks have indicated hierarchical structures ...
  • Analysing long egocentric videos 
    Nagar, Pravin; Arora, Chetan (Advisor) (IIIT-Delhi, 2023-02)
    Egocentric videos are recorded in a hands-free, always-on, under enhanced privacy-sensitive scenario and are often collected from day to weeks. For efficient consumption, such videos require robust video analysis techniques ...
  • Analysing social media for COVID positive cases 
    Singhal, Sonali; Pandey, Tanisha; Kumaraguru, Ponnurangam (Advisor); Shah, Rajiv Ratn (Advisor) (IIIT- Delhi, 2020-05)
    The COVID19 pandemic, a public health emergency which broke out globally in December 2019 and is still going on, has put us all into an unprecedented situation where there are strict limitations on physical social interaction ...
  • Analysing space utilization using indoor localization 
    Aneja, Joy; Singh, Pushpendra (Advisor) (2016)
    The wide deployment of IEEE 802.11 Wireless LAN in offices, colleges and other organizations makes it a prime solution for indoor localization. Wireless access point awareness and its small cell size helps in localizing ...
  • Analysis and evaluation of algorithms for newborn face recognition 
    Agarwal, Mallika; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (2017-04-18)
    Recognizing people with their face has received a lot of attention from the research community. However, face recognition for newborns is in a nascent stage. The need for effective identification of newborns has been rising ...
  • Analysis and modeling of content and coherence for automatic scoring of L2 speakers 
    Aggarwal, Gaurav; Shah, Rajiv Ratn (Advisor) (IIIT- Delhi, 2021-05)
    This study focuses on understanding content and coherence for Automated Oral Proficiency Scoring and Feedback Generating System in the context of spontaneous speech of non-native(L2) English learners. We aim to understand ...
  • Analysis and modelling of disfluency and as units for automatic scoring of L2 speakers 
    Mohan, Gandharv; Sharma, Akash; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2020-12)
    In this project, we attempt to understand how dis uencies in speech can be used in providing feedback for automated oral pro ciency scores in the context of spontaneous speech for L2 learn- ers of English. Our aim is to ...
  • Analysis of block cipher constructions against biclique and multiset attacks 
    Ghosh, Mohona; Sanadhya, Somitra Kumar (Advisor); Chang, Donghoon (Advisor) (2016-04-18)
    Cryptographic protocols have been a cornerstone of secure communications among armed forces and diplomatic missions since time immemorial. With easy availability and low cost of computing facilities and Internet, the domain ...

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