Browsing Year-2023 by Title

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  • 3D visualization of CT datasets 
    Singh, Karan; Sharma, Ojaswa (Advisor) (2023-11-29)
    This project addresses the real-time visualization of CT datasets, emphasizing cinematic rendering for heightened realism. Initial efforts concentrated on networking on a Unity frontend for seamless communication with a ...
  • 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 ...
  • 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. ...
  • AI based NLP systems 
    Nair, Ashwin R; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-29)
    Citation Text Generation (CTG) is the task of generating the text that explains the relationship between a pair of scientific documents. Given the context of a source paper (citing paper) X and a cited paper Y, the task ...
  • AI based NLP systems 
    Addala, Krishnasai; Baghel, Kabir Dev Paul; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-27)
    Despite the growing capabilities of Large Language Models (LLMs) in various domains, their proficiency in addressing domain-specific high-school physics questions remains an unexplored area. In this study, we present a ...
  • AI based sketch animation 
    Gupta, Shreyas; Sharma, Ojaswa (Advisor) (IIIT-Delhi, 2023-11-29)
    Animation of hand-drawn sketches can be a challenge for artists with little to no dedicated experience in animation, even when working with reference videos for movement. information. An inaccurate animation can make the ...
  • AI for software development: refactoring code-bases 
    Vohra, Aryan; Patel, Hardik; Jalote, Pankaj (Advisor) (IIIT-Delhi, 2023-11-29)
    Code refactoring, in which an existing module is modified for satisfying some property while maintaining the functionality, is often needed as software evolves. Since refactoring is tedious and error prone, it is sometimes ...
  • 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 ...
  • Analysis of data serialization overheads 
    Chaurasia, Yashasvi; Rangwani, Vishesh; Shah, Rinku (Advisor) (IIIT-Delhi, 2023-11-29)
    This paper provides an analysis of different serialization libraries on various performance and memory-related metrics. The analysis is done for different scenarios that may occur in a real world setting, in terms of ...
  • Analyzing patterns in bio-inspired patents to support transfer of biological inspiration 
    Choudhari, Arbaaz; Vishesh; Keshwani, Sonal (Advisor) (2023-11-29)
    The ongoing research project delves into the analysis of bio-inspired patents, focusing on how biological phenomena inspire technological innovation. To date, four specific bio-inspired phenomena have been selected through ...
  • Android dev in PHR app: community chat 
    Dev, Saharsh; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    The government of India launched the National Digital Health Mission (NDHM) initiative to make healthcare more accessible by digitizing patient data and unifying processes. We, the PHR team at TavLabs, propose implementing ...
  • Androknight: lightweight android malware detection for low-resource mobile devices 
    Nandi, Arpit; Malik, Dhruv; Sambuddho (advisor) (IIIT-Delhi, 2023-11-29)
    Our aim is to develop a light weight learning based android malware detection solution, that can not only accurately distinguish malware from goodware but also classify / report its category, even when functioning under ...
  • Anomaly detection and classification from CCTV camera feed 
    Aakash; Chauhan, Lakshay; Sharma, Shubham; Deb, Sujay (Advisor) (IIIT-Delhi, 2023-11-29)
    Recently, there has been an increase in the frequency of crimes and accidents, posing a growing challenge for humans to report these incidents to the relevant authorities promptly. It is nearly impossible for humans to ...
  • Application of ML models on genomic data 
    Verma, Vardan; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2023-11-29)
    To truly unlock the advantages of extensive datasets containing individual cell information, like the transcriptome and epigenome, it's crucial to incorporate them and look for ways to label each cell. However, it's a ...
  • Application supported ERP therapy for OCD patients 
    Sharma, Mohit; Jaiswal, Vaibhav; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2023-11-29)
    This research project focuses on addressing the challenges associated with the treatment of Obsessive–Compulsive Disorder (OCD) through the development of a bilingual smartphone application. The prevalence of OCD is ...
  • ARM cortex-M3 based SoC design for drones 
    Viyaash, V.; Aggarwal, Shivanshu; Deb, Sujay (Advisor) (IIIT-Delhi, 2023-11-29)
    This project report investigates the development of a drone control system using ARM Cortex-M3 based System on Chip (SoC) and the need for indigenously designed SoCs. The objective was to interface the Cortex M3 processor, ...
  • Autonomous delivery system for hospitals and hotels 
    Akshat; Agrawal, Yash; Bohara, Vivek Ashok (Advisor) (IIIT-Delhi, 2023-05-09)
    • Implementation of a prototype of a delivery robot using ROS (Robot Operating System) framework that autonomously maps unknown territories and can navigate to a provided destination. • Algorithms like Hector SLAM and ...
  • Benchmarking ML/DL libraries 
    Tyagi, Jatin; Rastogi, Nishaant; Jain, Pratyush; Kumar, Dhruv (Advisor) (IIIT-Delhi, 2023-11-29)
    The exponential growth of machine and deep learning applications across diverse domains has led to the proliferation of machine and deep learning libraries. As these libraries offer various algorithms, tools, and ...
  • Bird detection and monitoring in videos 
    Dahiya, Hemang; Anand, Saket (Advisor) (IIIT-Delhi, 2023-11-29)
    Conservation planning and conflict resolution require careful monitoring and analysis of wildlife. Video traps, in combination with AI-based analytic tools, are an excellent example of noninvasive technology used successfully ...
  • Blockchain for food: farm to fork 
    Narang, Ojas; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-30)
    India's food industry faces critical challenges with its centralized supply chains, including single point failures, quality issues, and data integrity. There's a high rate of food fraud, contamination, and adulteration, ...

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