IIIT-Delhi Institutional Repository

Electronics and Communication Engineering

Electronics and Communication Engineering

 

Sub-communities within this community

Recent Submissions

  • Chaturvedi, Saumya; Bohara, Vivek Ashok (Advisor); Srivastava, Anand (Advisor) (IIIT-Delhi, 2024-07)
    The evolution of next-generation communication systems, driven by applications like smart cities, factories of future, and autonomous vehicles, has led to a surge in communication devices and applications facilitated by ...
  • Gupta, Akshita; Bohara, Vivek Ashok (Advisor); Srivastava, Anand (Advisor) (IIIT-Delhi, 2024-09)
    This thesis aims to propose an efficient resource allocation framework to ensure the quality of service (QoS) to the users. The frameworks proposed in this dissertation can be efficiently utilized to provide QoS guarantees ...
  • Reddy, Shivakanth; Prasad, Ranjitha (advisor) (IIIT-Delhi, 2024-08-04)
    Federated learning (FL) is a privacy-preserving machine learning approach that enables the training of models across multiple decentralized edge devices without exchanging raw data. However, local models trained only on ...
  • Pandey, Prashasti; Saurabh, Sneh (Advisor) (IIIT-Delhi, 2024-06-01)
    With the scaling of semiconductor technology nodes, the impact of process-induced variations has increased. Statistical static timing analysis accounts for global and local variations in the timing analysis. The present ...
  • Sharma, Ishika; Prasad, Ranjitha (advisor) (IIIT-Delhi, 2024-07-29)
    Out-of-Distribution (OoD) detection has emerged as a crucial aspect in machine learning, essential for ensuring the resilience and reliability of models deployed in real-world scenarios. Traditional methods excel at ...
  • Shroti, Ajay; Grover, Anuj (Advisor) (IIIT-Delhi, 2024-05-15)
    Embedded memories occupy up to 70% of the area and account for 30-50% power consumption in advanced digital SoCs. A large part of this power is leakage power. Therefore, high-density, low-leakage SRAM cells are desirable. ...
  • 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 ...
  • Mamodia, Shivani; Subramanyam, A V (Advisor) (IIIT-Delhi, 2020-07-01)
  • Gupta, Sagar; Subramanyam, A V (Advisor) (IIIT-Delhi, 2020-07-01)
    Unsupervised Person Re-Identi cation (Re-ID) su ers severely from the gap in the modality. Many factors pose a challenge to the task, including occlusions, lightning conditions, pose changes, among several others. Various ...
  • Gupta, Aniket; Grover, Anuj (Advisor); Sharma, Jyoti (Advisor) (IIIT-Delhi, 2023-11-29)
  • Singh, Monika; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-11-29)
    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 ...
  • Sony, Atyant; Palia, Arnav Kumar; Bansal, Mohit; Gupta, Nikhil; Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2023-11-29)
    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 ...
  • Upadhyay, Saurav; Haripriya, Soibam (Advisor) (IIIT-Delhi, 2023-11-28)
    In recent year ,due to the advancement in online social networks,possibility of spreading misinformation increases.Online Social Networks earlier seem to be safer path for sharing information and strengthen the community,but ...
  • Marwah, Sahas; Dubey, Suyash Kumar; Grover, Anuj (Advisor) (2023-12)
    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, ...
  • Thakran, Yash; Abrol, Vinayak (Advisor) (IIIT-Delhi, 2023-05-09)
    Abusive content detection in the spoken text can be addressed by performing Automatic Speech Recognition (ASR) and leveraging advancements in natural language processing. However, ASR models introduce latency and often ...
  • Joshua, Massa; Deb, Sujay (Advisor) (IIIT-Delhi, 2023-10-29)
    In the realm of chiplet-based computing, the advent of Network-on-Chip (NoC) technology has brought forth remarkable opportunities to harness the potential of on-chip wireless communication. This report embarks on a ...
  • Srivastava, Aryman; Dheeraj; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-04-29)
    Deep learning involves training machines to understand patterns, classify objects, and predict outcomes. This has led to the emergence of various fields, including computer vision, natural language processing, speech ...
  • Singh, Harsh Vardhan; Sharma, Ojaswa (Advisor) (IIIT-Delhi, 2023-11-29)
    Empowering remote users to navigate expansive environments through a robot surrogate presents a significant challenge, especially when constrained by limited physical space. Our project aims to enable individuals within ...
  • Choudhary, Simran; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-11-29)
    This research explores the evolving landscape of Explainable Artificial Intelligence (XAI), with a specific focus on counterfactual explanations and their role in ensuring fairness and reducing bias in AI decision-making. ...

View more