Exploring New Ideas

Crafting simulations using diffusion models is just the start of an intriguing idea I have. Picture this: blending deep learning models...

Overview: Our project aimed to improve the quality of videos by leveraging state-of-the-art image enhancement techniques. We utilized two...

The condition of railway tracks needs to be periodically monitored to ensure passenger safety. Cameras mounted on a moving vehicle such...

# ground stations (GSs), ground vehicles (GVs), unmanned aerial vehicles (UAVs) Algorithm Overview In this section, we provide a novel...

The architecture for building AGI using RL and NLP involves three main components: 1. RL Agent: The RL agent is responsible for learning...

We want to build an intelligent interface that can act as a natural translator between humans and the digital world — AI and humans...

Tkinter is one of the most widely used libraries for creating Desktop Applications in Python.. Tkinter is a distributed python module...

Edge computing is a type of distributed computing that brings computations and data storage closer to the location where they are needed....

SSD Mobilenet V2 is a one-stage object detection model which has gained popularity for its lean network and novel depthwise separable...

Text summarization is the process of distilling the most important information from a source text to produce an abridged version for a...

The project is about the detection of objects and estimating the distance difference between the target and the camera using intel depth...

Navigating through simple decision trees, bootstrapping/bagging and finally leading up to random forest models. Tree-based models use a...