Federated learning (FL) is a popular framework for training a model in a distributed setting, where the data is spread over a network of devices. In traditional FL, the devices communicate with a central server to share ...

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 ...

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 ...

Millimeter wave (mmWave) massive multiple input multiple output (mMIMO) systems are at the core of fifth-generation (5G) and beyond-fifth-generation (B5G) technologies due to their ability to support error-free communication ...

Gastrointestinal (GI)-tract associated cancers remain a significant global health concern due to their high incidence and mortality rates. These complex diseases arise from intricate interactions between genetic factors ...

In this study, we build upon the Image-Based Visual Servoing (IBVS) technique by Yogesh Kumar and Bassam Pervez Shamsi to develop an advanced kinematic controller for quadrotor tracking. Our approach enhances the tracking ...

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. By meticulously analyzing various aspects ...

In recent years, Machine Learning (ML) and Artificial Intelligence (AI) have become one of the hot topics for research and have found their use in various applications across different sectors like healthcare, automotive, ...

With the advent of connected autonomous vehicles, we are expecting to witness a new era of un- precedented user experiences, improved road safety, a wide range of compelling transportation applications, etc. A large number ...

Visual wildlife monitoring of animals requires detection for species-level categorization and re-identification (Re-ID) for population estimation of an individual species. Traditionally, the monitoring is done via GPS ...