Browsing Year-2023 by Title

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  • 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 ...
  • Deciphering the genetic bias underlying in global population for lipid homeostasis 
    Samota, Praveen Singh; Ray, Arjun (Advisor) (IIIT-Delhi, 2023-11-29)
    Maintaining lipid homeostasis, the equilibrium of lipid levels, including fats and cholesterol within cells and organisms, is vital for numerous physiological functions. Disruptions in lipid homeostasis, often spurred by ...
  • Deployment and active learning of species categorization module 
    Pahuja, Jayan; Anand, Saket (Advisor) (IIIT-Delhi, 2023-11-29)
    This project focused on the deployment of a deep learning model for species categorization and retraining on the cloud using the YOLOv5x architecture. The goal was to create a web application that allows users to upload ...
  • Design of a novel interpretability analysis method to handle out-of-distribution samples 
    Arora, Srijan; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-05-09)
    With the growing introduction of machine learning in critical domains such as healthcare, finance, law and other public services, the need for increased trust and understanding of these models is becoming paramount for ...
  • Deva : one-stop devotional solution for hindus 
    Singh, Aditya; Gupta, Anurag; Chatterjee, Bapi (Advisor) (IIIT-Delhi, 2023-11-29)
    Deva, a pioneering religious technology startup, presents an innovative solution to the evolving needs of Hindu religious practice in the digital age. This report delves into the multifaceted aspects of Deva’s mobile ...
  • 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 ...
  • Differentiable rendering 
    Bhattacharya, Aishiki; Sharma, Ojaswa (Advisor) (IIIT-Delhi, 2023-11-29)
    Differentiable Rendering combines the principles of differentiable programming and rendering pipelines. This report studies this emerging field by going through research papers and the functionalities of the Mitsuba renderer. ...
  • DIKE: blockchain based e-voting 
    Aggarwal, Naman; Chakravarty, Sambuddho (Advisor); Samajder, Subhabrata (Advisor); Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2023-11-23)
    DIKE: is an online voting system which uses a private blockchain to securely cast and count the votes . The system addresses the issues in existing offline voting system revealing/compromising voter anonymity, partial vote ...
  • Distributed stream processing at edge 
    Choudhary, Aditya; Chak, Ayush Raje; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-23)
    A vast amount of data is produced by billions of modern devices each year. An effective Stream Processing Engine (SPE) is needed to arrange and handle this data. Among the well-known SPEs are Apache Hadoop, Apache Spark, ...
  • Dolphin++: a modern voice call based internet resistance system 
    Kaushik, Yogesh; Maity, Mukulika (Advisor) (IIIT-Delhi, 2023-05-09)
    Internet has become a basic necessity to perform variety of day to day tasks such as accessing news, reporting incidents, sending work emails etc. However, recently an extreme form of censorship is introduced in the form ...
  • Dynamic stochastic general equilibrium -heterogenous agent new keynesian (DSGE-HANK) models for monetary and fiscal policy analysis 
    Sarmah, Deepam; Kanjilal, Kiriti (Advisor) (IIIT-Delhi, 2023-11-29)
    Dynamic Stochastic General Equilibrium (DSGE) models are the workhorse of modern macroeconomics. They are used to study the effects of monetary and fiscal policy, and to understand the sources of business cycle fluctuations. ...
  • Early prediction of rumors 
    Choudhary, Harshit; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-24)
    In this study, we address the widespread issue of rumor propagation on social media. Current automated systems primarily rely on analyzing the stance made in tweets to predict the veracity of rumors. To enhance the ...
  • An emotion annotated dataset of code-mixed mental health counseling and relevant baselines 
    Tiwari, Anusha; Kushagra; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    In India, the realm of mental health is overshadowed by stigma, lack of awareness, and outdated methods, worsened by a scarcity of accessible well-being and counseling solutions. This challenge is particularly prominent ...
  • Enveave: advancements in a multi-stakeholder environmental platform 
    Teng, Aryan; Vashishta, Avi; Jalote, Pankaj (Advisor) (IIIT-Delhi, 2023-11-29)
    In the latest phase of the Enveave project, our team focused on advancing the platform’s capabilities and user experience. This semester’s work included significant enhancements, such as introducing a new stakeholder type, ...
  • Environmental sensing 
    Pedro, Antonio; Kumar, Vasanth; Manideep; Sri Charan, Devi; Shah, Rajiv Ratn (Advisor); Choudhary, Vishal (Advisor) (IIIT-Delhi, 2023-05-09)
    This project addresses growing environmental concerns by developing a comprehensive environmental monitoring system. It uses a NodeMCU-32s board with various sensors to collect data on environmental parameters, transmitting ...
  • 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 ...
  • Exploration of exciton stability in low dimensional systems 
    Kadam, Somanshu; Ghosh, R.K. (Advisor) (IIIT-Delhi, 2023-11-29)
    Due to decreased dielectric screening and increased Coulombic interactions, two-dimensional (2D) materials display pronounced excitonic effects. These effects alter the way these materials absorb light and respond to ...
  • Extended reality testing of autonomous vehicles 
    Ganguly, Abhigyan; Khurana, Mehar; Gupta, Prakhar; Anand, Saket (Advisor) (IIIT-Delhi, 2023-11-29)
    As autonomous vehicles advance toward mainstream adoption, efficient testing methods have become paramount to expand their presence in crowded and unpredictable environments like those seen in Indian cities. Autonomous ...
  • Fairness in machine learning 
    Budhija, Kuber; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-01)
    In a world where machine learning and AI play an increasing role in decision-making across various sectors, concerns about fairness have emerged. This report delves into the journey of understanding fairness in machine ...
  • FlexDisplay: a flexible display framework for conserving power consumption 
    Goyal, Sahil; Goel, Anshak; Mondal, Deeptorshi; Bhattacharya, Arani (Advisor); Maity, Mukulika (Advisor) (IIIT-Delhi, 2023-11-28)
    Despite significant improvements, smartphones are still constrained by the limited capacity of their batteries. Modern smartphones tend to use organic light-emitting diode (OLED) displays, whose energy consumption depends ...

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