Singh, Aditya; Darak, Sumit J. (Advisor)(IIIT-Delhi, 2024-04-26)
Cloud Labs enable hardware based courses in remote environments and developing self paced learning modules. The integrated hardware and software solutions developed allow for remote access to physical labs and offer a ...
This project aims to develop computational pipelines to cluster microbiomes from different geographic locations and disease phenotype based on the similarity in their functional signatures. This initiative has built an ...
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 ...
The primary goal of this project is to identify and develop a system to monitor Key Performance Indicators (KPIs) that can enhance the efficiency of Public Bus Services in Delhi. Valuable insights can be gained by meticulously ...
This report presents the development of a Simulink-Controlled Multi-Robot Simulation system integrated with Gazebo and ROS, tailored for robotics education and research. The core objective of the project is to provide a ...
Online gaming has transcended its status as a recreational activity to become a pervasive cultural force in recent decades, attracting the attention of scholars who have meticulously examined its qualitative and quantitative ...
Neural networks have emerged as a powerful tool in machine learning and deep learning, showcasing remarkable capabilities in image recognition, natural language processing, and autonomous decision-making tasks. However, ...
Pai, Ullas Ravindra; Deb, Sujay (Advisor)(IIIT-Delhi, 2023-12-05)
In a multi-core system, each core has its own local cache, which stores copies of data from the main memory. In a single program, different threads might run on separate cores to perform parallel tasks. These threads could ...
This BTP explores the integration of Online Federated Learning (OFL) with Distributed Online Linear Regression (DOLR) in the context of the FedOMD algorithm, addressing the challenges of regret minimization and accurate ...
Kuria, Samuel Muchai; Biyani, Pravesh (Advisor)(IIIT-Delhi, 2024-04-29)
This project developed a real-time stock and mutual funds market and mutual fund analysis tool designed to meet the needs of today's fast-paced financial environment. Utilizing Flask for its efficient and flexible architecture, ...
Kumar, Sarthak; Biswas, Sanat K (Advisor)(IIIT-Delhi, 2024-04-29)
The primary objective of this research project was to conduct a comprehensive analysis of state- of-the-art algorithms designed for the calculation of Collision Probability between satellites and other space objects, ...
In recent year, spreading of fake news has been one of the most highlighted things society is dealing with. We have seen in past that fake news leads to serious riots and created a fearful en- vironment for general people. ...
We use different optimizers in everyday Machine Learning and Deep Learning applications. The task for any machine learning algorithm is to 𝑚𝑖𝑛 𝑓 (𝑥), where 𝑓 is the objective function and 𝑥 is the input parameter. ...
This semester had the main objective of thoroughly rectifying Recipe DB 2 and its backend with special attention towards issues in the back-end architecture of the API dashboard. The abnormal functioning of Elastic search ...
Gupta, Garvit; Deb, Sujay (Advisor)(IIITD, 2021-05-10)
Edge computing is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed to improve response times and save bandwidth. Two important aspects of edge computing ...
Roy, Neelabhro; Subramanyam, A V (Advisor)(IIIT-Delhi, 2019-11)
Person Re-Identi cation (PRID) has been one of the most prominent problems in intelligent video surveillance in the recent past. PRID is the task of retrieving all the instances of a person given a single shot or a sequence ...
Nayeem, Mohammad; Subramanyam, A V (Advisor)(IIIT-Delhi, 2017-11-18)
Techniques used for sparsifying the signal in dictionary or transform domain are quite popular in signal processing. In this work, we propose a method for e cient compression of surveillance videos. We observe that in these ...
Wireless devices, including mobile phones, laptops, autonomous driving, UAT, etc., generate an enormous amount of local data, which could be employed to train machine learning models for decision-making and improve prediction ...
This report addresses significant challenges in our academic institution's manual Teaching Assistant (TA) allocation process. The current system relies on time-consuming Excel sheets and email-based communication, leading ...