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  • Accessible bus information system and associated mobile application 
    Das, Tanupriya; Gupta, Richa (Advisor) (IIIT-Delhi, 2022-05)
    Bus accessibility has been a major problem in Delhi since there is no official information system for accessing information related to buses. Users with sensory impairments such as visual and auditory impairments face this ...
  • Accessible digital education for K-12 students with visual impairments and blindness 
    Pathak, Shourya; Gupta, Richa (Advisor) (IIIT-Delhi, 2022-05)
    This project aims to make education accessible to K-12 students with blindness and visual impairment to maintain their education potential in practical and physical courses. The current inclusive education in India has ...
  • ACCORD : an analytical cache contention model using reuse distances for modern multiprocessors 
    Hemani, Rakhi; Banerjee, Subhasis; Guha, Apala (2014-09-15)
    Simultaneous execution of multiple threads on multicores is necessary for good resource utilization. However, such utilization calls for accurate models to predict the impact on performance due to contention of shared ...
  • Accounting for the correlation between low-threshold and high-threshold transistors using analytical techniques 
    Pandey, Prashasti; Saurabh, Sneh (Advisor) (IIIT-Delhi, 2024-06-01)
    With the scaling of semiconductor technology nodes, the impact of process-induced variations has increased. Statistical static timing analysis accounts for global and local variations in the timing analysis. The present ...
  • Acoustic cues for multilingual abuse detection 
    Thakran, Yash; Abrol, Vinayak (Advisor) (IIIT-Delhi, 2023-05-09)
    Abusive content detection in the spoken text can be addressed by performing Automatic Speech Recognition (ASR) and leveraging advancements in natural language processing. However, ASR models introduce latency and often ...
  • Action recognition in egocentric videos 
    Verma, Sagar; Arora, Chetan (Advisor) (2017-07)
    With an increase in usage and availability of wearable devices like GoPro, Microsoft Hololens, Google Glass, etc, egocentric video analysis has become essential. An interesting application is action recognition in egocentric ...
  • Activation functions in neural networks 
    Narayan, Anupam; Pandey, Ashish Kumar (Advisor) (IIIT-Delhi, 2023-12-12)
    Artificial neural networks (ANNs) are pivotal in deep learning, with activation functions introducing crucial non-linearity. An ideal activation function should generalize well across datasets, expedite convergence, and ...
  • Active learning for visual wildlife monitoring 
    Srivatsav, Deepak Magesh; Anand, Saket (Advisor) (IIIT-Delhi, 2020-05-30)
    Wildlife monitoring and tracking are vital for the preservation of various wildlife species. Activities such as poaching and loss of habitat have made wildlife monitoring and tracking increasingly tricky. Modern-day ...
  • Actively controlled retention voltage of SRAMs 
    Mamgain, Ankush; Grover, Anuj (Advisor) (IIIT-Delhi, 2018-07)
    In advance technology nodes, static power consumption is a major component of total system power in systems that do not continuously operate at very high clock frequency. SRAMs not only contribute a major portion of SoC ...
  • Adapting vehicular planning and communications for optimized driving 
    Pal, Mayank Kumar (IIIT-Delhi, 2020-07)
    Connected Autonomous Vehicles (CAVs) have for long had the attention of the intelligent transportation systems community due to their promise of improving road safety and efficiency via increased perception. CAVs broadly ...
  • Adaptive algorithms for control of robots 
    Natarajan, Ashwin Ram; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2023-11-29)
    Adaptive control is essential for the successful operation of robots in unknown environments. Existing literature involves the use of mathematical assumptions and regression techniques for estimation. This BTP develops an ...
  • 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 ...
  • Advancing gene signature discovery with generative models : a case study in sepsis 
    Sharma, Anjali; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-05-01)
    Sepsis and diabetes present intricate medical conditions that present substantial challenges to healthcare systems globally. Timely detection and precise diagnosis are critical in facilitating effective treatment and ...
  • Advancing graph-based computational approaches to decipher omic signature of diseases 
    Mishra, Shreya; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-10-31)
    Omic signatures of disease are important for personalized treatment because of theheterogeneity of diseases. Despite the advancement of computational tools, there arelimited methods that can capture the latent inter-relationships ...
  • Advancing text summarization with conscience, comprehension, and multimodality 
    Kumar, Yash; Goyal, Vikram (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2024-01)
    Summarization, an essential technique for efficiently condensing extensive textual content into concise versions, has become increasingly valuable in the face of the information deluge characterizing the modern digital ...
  • 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. ...
  • Advertisement understanding 
    Garikaparthi, Aniketh; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-29)
    In the contemporary landscape of marketing, online video advertisements have emerged as a potent force, wielding the ability to captivate audiences and mold consumer behavior. This research delves into the intricate realm ...
  • 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 ...

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