Traditionally, algorithms try to find the optimal solution for a problem in a “three-phase” approach: fetch the input, run the algorithm, output the solution. But recently, there has been an interest in understanding ...

Ontology Learning is the semi-automatic and automatic extraction of ontology from a natural language text, using text-mining and information extraction. Each ontology primarily represents some concepts and their corresponding ...

Convolutional neural networks are being extensively used in real world applications like image and video classification, natural language processing, medical image analysis, recommender systems etc. where previously machine ...

In pursuit-evasion problems, we are presented with one or more pursuers attempting to capture one or more evaders. We consider the same problem in a bounded and convex physics-based environment. In our case, the agents ...

The shepherding problem is a problem setting in the multi-agent systems domain. The primary aim is to guide or ‘shepherd’ a swarm of unwilling agents to a destination, with the help of autonomous agents. We explore this ...

This project aims to characterize the role of the NaMo app in shaping political discourse on social media. The Narendra Modi app, or the NaMo app, is the official app ofthe Prime Minister of India. It has an inbuilt social ...

There are various domains under which Machine Learning has been successfully applied. With the availability of high computing resources, tasks such as image classification, object detection and others are easily tackled ...

My B-tech Project is based on the problem was initially in concerns with the water sanitation and hygiene-related issues targeting the illiterate masses which was later transformed into an app that produces wetted ...