DSpace at IIIT-Delhi: Recent submissions

  • Development of a forecasting tool utilizing ML techniques 
    Yadav, Arun; Ray, Arjun (Advisor) (IIIT-Delhi, 2023-11-29)
    This report presents a comprehensive analysis of revenue forecasting methods employed in the context of the hotel industry or business. The primary objective is to assess the effectiveness of various machine learning models ...
  • A deadline-aware scheduler for smart factory using wifi 6 
    Mishra, Anis; Bhattacharya, Arani (Advisor); Maity, Mukulika (Advisor); Das, Syamantak (Advisor) (IIIT-Delhi, 2023-12-09)
    We discuss the optimization of wireless network scheduling in smart factories, specifically focusing on data packets with varying deadlines and importance levels. The proposed solution involves utilizing IEEE 802.11ax (WiFi ...
  • Learning speaker, emotion, age, and gender information through disentanglement of speech pre-trained representations 
    Koshal, Devyani; Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2023-11-29)
    Forensic speech science, rooted in acoustics, plays a key role in legal investigations. Among its diverse applications, automatic speaker recognition (ASR) stands as a primary task within forensic speech analysis followed ...
  • Multi-tenant cache design for smart NICs 
    Kaif, Mohammed; Mittal, Shivansh; Shah, Rinku (Advisor); Deb, Sujay (Advisor) (IIIT-Delhi, 2023-11-29)
    Cloud providers host tenant applications on the shared server infrastructure and provide isolation by leveraging virtualization solutions such as virtual machines (VMs), containers, or serverless. The current virtualization ...
  • AI-driven tracking of hallmarks of aging mechanisms during chronological aging 
    Chopra, Garima; Aggarwal, Kush; Ahuja, Gaurav (Advisor) (IIIT-Delhi, 2023-11-29)
    Cellular aging, a complex phenomenon marked by the gradual degradation of essential cellular components, poses significant challenges in understanding its temporal orchestration and underlying mechanisms. The ”Hallmarks ...
  • Personal health records app 
    Yadav, Nittin; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Health Interoperability has become a major concern in today’s period in which health records data is increasing rapidly. New healthcare hospitals and facilities are emerging increasing the need to create an interoperable ...
  • Object detection for autonomous driving 
    Goel, Atharv; Singh, Jyotirmaya; Anand, Saket (Advisor) (IIIT-Delhi, 2023-11-29)
    This thesis undertakes a comprehensive exploration of object detection technologies with a particular emphasis on their application in autonomous driving and related application settings. The research delves into 2D and ...
  • Computational creativity - virtual muse generative poetry 
    Oberoi, Rishabh; Parikh, Darsh; Agarwal, Manas; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
    The convergence of artificial intelligence with creative expression has given rise to the emerging field of Computational Creativity, a domain that explores the capacity of machines to generate innovative and aesthetically ...
  • Continuous glucose monitoring 
    Sahu, Sahil; Jalote, Pankaj (Advisor); Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Diabetes is a chronic illness that affects millions of people worldwide and requires regular monitoring of a patient’s blood glucose level. Currently, blood glucose is monitored by a minimally invasive process where a small ...
  • Framework to execute queries on video from surveillance cameras 
    Singh, Yashika; Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2023-11-29)
  • Light weight code - mix neural machine translation 
    Bansal, Subhanshu; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    In the contemporary multilingual landscape of online communication, the emergence of codemixed language, the seamless integration of multiple languages within a single utterance, has become increasingly prevalent. The ...
  • Temporal causal effect variational autoencoder 
    Aggarwal, Soumya; Gandhi, Vansh; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-12-12)
    This work is a review on causal inference with a focus on predicting temporal Individual Treatment Effects (ITEs). Various approaches were investigated, and the Causal Effect Variational Autoencoder (CEVAE) was selected ...
  • Local citation recommendation for scientific research papers 
    Jindal, Shivam; Goyal, Sourav; Goyal, Vikram (Advisor) (IIIT-Delhi, 2023-11-28)
    This project aims to design and develop a local citation recommendation system. The system is designed to assist users in recommending accurate and relevant citations for their scientific research papers. It can save time ...
  • Affective analysis 
    Madan, Sanya; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    The aim of this work was focused on data collection and annotation for Aspect-Based Academic Review Analysis. The goal is to understand the sentiments expressed in course feedback regarding different aspects of a course. ...
  • On some special classes of linear and additive codes over finite commutative chain rings 
    Yadav, Monika; Sharma, Anuradha (Advisor) (IIIT-Delhi, 2024-05)
    Self-orthogonal codes, self-dual codes, and linear codes with complementary duals (LCD codes) constitute the three most important and well-studied classes of linear codes. These codes have nice algebraic structures and are ...
  • Identifying gut microbial markers for cardiovascular disease 
    Singh, Sahil Kumar; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-11-29)
    In the ever-changing world of bioinformatics, this study dives into finding the connections between our gut, metabolomic data, and heart diseases. Data was gathered from 20 different study cohort groups, and 14 clinical ...
  • A comprehensive comparison of strainformer transformer model and baseline machine learning models for future vaccine generation for COVID-19 
    Chilkoti, Mansi; Mohta, Shagun; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    This project aims to compare traditional baseline models, specifically the Naive Bayes model and the Long Short-Term Memory (LSTM) model, and advanced transformer models, including Strainformer and Vaxformer. The primary ...
  • Medical image segmentation 
    Jangu, Kushiluv; Yadav, Abhinn; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-11-29)
    Medical image segmentation is a pivotal technique in modern medical imaging, essential for enhancing diagnosis accuracy and patient care. This study explores the application of four advanced deep learning models - DermoSegDiff, ...
  • Explainable positive unlabeled learning for large sparse data 
    Singh, Deepak; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2023-11-22)
    There are scenarios in machine learning problems when the available class is only positive, and the rest of the data points are unlabelled. In our current approach, for a given disease-gene set, given members of the gene ...
  • Predicting breast cancer subtypes from 3D MRI scans using pyradiomics 
    Sharma, Ayush; Kumar, Dhruv (Advisor) (IIIT-Delhi, 2023-11-25)
    Breast cancer is a complex and heterogeneous disease with varying clinical outcomes and treatment responses among different subtypes. Accurate classification of breast cancer subtypes is crucial for personalized treatment ...

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