Year-2024

 

Recent Submissions

  • Nayak, Siddharth; Shah, Rinku (Advisor) (IIIT-Delhi, 2024-05-21)
    Serialisation latency is a significant concern in modern cloud applications that leverage the microservice paradigm. A cloud service request typically traverses a sequence of microservices across nodes, increasing latency ...
  • Pathak, Shambhavi; Shah, Rinku (Advisor) (IIIT-Delhi, 2024-05-21)
    As enterprises migrate from single-cloud to multi-cloud architecture, they encounter challenges due to geographical dispersion, varying WAN characteristics, and diverse cloud policies. These challenges demand a re-evaluation ...
  • Nair, Akshara; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2024-07)
    Eyewitness accounts are crucial to legal and investigative proceedings, serving as foundational sources for reconstructing events. Agencies typically collect multiple statements to achieve a thorough understanding of the ...
  • Reddy, Gunjapalli Sravani; Chatterjee, Bapi (Advisor) (IIIT-Delhi, 2024-06-14)
    This thesis investigates the integration of Mixture Density Networks (MDNs) within Federated Learning (FL) frameworks to tackle challenges in data privacy, security, and model robustness, focusing on Automatic Speech ...
  • Kundu, Debnath; Shah, Rajiv Ratn (Advisor); Kumar, Rajesh (Advisor) (IIIT-Delhi, 2024-05-20)
    As educational assessments migrate to digital platforms, ensuring academic integrity becomes crucial. Traditional plagiarism detection systems struggle to catch instances of intelligent cheating, especially when students ...
  • Agrawal, Shubham; Chatterjee, Bapi (Advisor) (IIIT-Delhi, 2024-06-01)
    In cross-device federated learning (FL) [1], a machine learning model is developed by leveraging communication between a central server and numerous edge device clients. In practical scenarios, the ability of these edge ...
  • Chaudhary, Aryan; Abrol, Vinayak (Advisor) (IIIT-Delhi, 2024-05-01)
    This thesis explores the integration of quaternion algebra into neural network architectures to enhance their efficiency for diverse audio processing tasks. Quaternion-based transformations are employed to achieve structural ...
  • Talukdar, Indraayudh; Akhtar, Md Shad (Advisor) (IIIT-Delhi, 2024-07-01)
    Taxonomy is a hierarchical structure that deals with knowledge. It can be perceivedas Knowledge graph with all the relations being only ’is-a’. Automatic creation of taxonomies can be achieved by creation scratch, by ...
  • Verma, Akash; Abrol, Vinayak (Advisor) (IIIT-Delhi, 2024-05-21)
    Speaker verification (SV) focuses on confirming or denying the claimed identity of a speaker. It is a one-to-one comparison between the test utterance and the claimant’s stored reference voice sample. This process is ...
  • Das, Antara; Goyal, Vikram (Advisor) (IIIT-Delhi, 2024-05-01)
    Developing NLP-based techniques to automate tasks in the Indian legal domain is highly demanding due to the enormously increasing volume of legal text documents, intricate legal terminologies, and the need for efficient ...
  • Gupta, Mohit; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2024-05-08)
    Documents play a pivotal role in conveying information, serving as integral carriers of knowledge across various domains. Their importance lies in their ability to encapsulate ideas, facts, and insights, thereby facilitating ...
  • Bansal, Mehak; Chatterjee, Bapi (Advisor) (IIIT-Delhi, 2024-01-19)
    Distribution Learning is a form of machine learning which involves the distribution of data across in a network having multiple devices. Each node is trained independently, and then combined the results to generate a model ...
  • Dey, Kaushik; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2024-08-01)
    Machine Learning models output high confidence scores when provided with input samples that belong to the input data distribution, referred to as in-distribution (ID) samples. However, when presented with an Out of ...