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 ...

This project developed a real-time stock market analysis tool designed to meet the needs of today's fast-paced financial environment. Utilizing Flask for its efficient and flexible architecture, and integrating with the ...

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 ...

Creating software that supports the similarities and facilities offered by Cad tools for semiconductors, photoelectric cells, and other devices Primarily, making a cost effective software that could give similar results ...

The primary objective of this research project was to conduct a comprehensive analysis of stateof- the-art algorithms designed for the calculation of Collision Probability between satellites and other space objects, ...

The human gut microbiome exhibits remarkable diversity among individuals, yet numerous studies have identified the presence of several bacteria consistently observed across different geographical locations. This research ...

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 ...

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, ...

Superconducting nanowire single photon detectors (SNSPD) provide >90% and timing jitter <20% but require cryogenic temperature. SPAD’s are capable of detection at room temperature but due to the trade off between timing ...

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. ...