In today’s world, digital-born media, especially advertisements, have a substantial influence on our daily lives, from persuading us to buy particular brands to creating awareness about a social or environmental cause. ...
Hasan, Munawar; Anand, Ravi (Advisor); Chang, Donghoon (Advisor)(IIIT-Delhi, 2025-06)
Tweakable primitives are advanced cryptographic constructions, primarily used to enhance the flexibility, security, and performance of cryptographic systems. In case of the tweakable primitives, in addition to the key and ...
This B.Tech project endeavors to advance mental health counseling through technology by introducing the IndieMH dataset, a curated collection of code-mixed Hindi-English counseling dialogues annotated with emotion labels ...
This Report investigates the complex dynamics of air pollution in two megacities, Delhi and Beijing, and presents a comparative analysis of their pollution mitigation strategies and outcomes. After acquiring and preprocessing ...
This paper presents an innovative approach aimed at seamlessly integrating physical and digital environments via World Building techniques employing a sand table, specifically designed for wargaming applications. By ...
Serverless computing has emerged as a transformative field in the cloud computing world. The high energy and cost savings associated with serverless are leading to its increased prevalence.However, network communications ...
With the rise in the potential of artificial intelligence, there now is an increased risk of im-personation and deep fakes; one possibility of impersonation lies within audio, which we call“spoofing attacks”, wherein voices ...
Interpersonal skills, or social skills, encompass individuals’ behaviors and abilities to engage and communicate successfully with others. These contain effective communication, attentive listening, understanding others, ...
The field of Multi Agent Reinforcement Learning The field of Multi Agent RL can model and address compplex interactions among multi-decision makers in a shared environment. There is however, a need of efficient coordination ...
Intensive Care Units (ICUs) house vast repositories of patient data, particularly vital signs recorded as time series data, offering invaluable insights into patient health dynamics. However, the sheer volume and complexity ...
Micro-electro-mechanical systems (MEMS) are miniature devices that integrate mechanical and electrical components on a single silicon chip, often including sensors and actuators. With sizes ranging from a few micrometers ...
Online professional platforms such as Indeed, LinkedIn, Naukri, Stack Overflow, and Blind serve as digital ecosystems to connect professionals, employers, and job seekers. These platforms witness online user activities, ...
Serialisation latency is a significant concern in modern cloud applications that leverage the microservice paradigm. A cloud service request typically traverses a sequence of microservices across nodes, increasing latency ...
As enterprises migrate from single-cloud to multi-cloud architecture, they encounter challenges due to geographical dispersion, varying WAN characteristics, and diverse cloud policies. These challenges demand a re-evaluation ...
Object co-part segmentation, which involves segmenting shared objects into meaningful parts in a group of images, is a challenging joint-processing task. Although fully unsupervised deep learning algorithms exist for this ...
Eyewitness accounts are crucial to legal and investigative proceedings, serving as foundational sources for reconstructing events. Agencies typically collect multiple statements to achieve a thorough understanding of the ...
Sepsis and diabetes present intricate medical conditions that present substantial challenges to healthcare systems globally. Timely detection and precise diagnosis are critical in facilitating effective treatment and ...
This thesis investigates the integration of Mixture Density Networks (MDNs) within Federated Learning (FL) frameworks to tackle challenges in data privacy, security, and model robustness, focusing on Automatic Speech ...
As educational assessments migrate to digital platforms, ensuring academic integrity becomes crucial. Traditional plagiarism detection systems struggle to catch instances of intelligent cheating, especially when students ...
In cross-device federated learning (FL) [1], a machine learning model is developed by leveraging communication between a central server and numerous edge device clients. In practical scenarios, the ability of these edge ...