Travelling salesman problem (TSP) is one of the fundamental and most researched problems in the study of Approximation Algorithms. Generally, the algorithm is provided with a metric(V, d) and the aim of the algorithm is ...

In today’s world, electric vehicles (EVs) are trending due to many positive factors associated with them. They are taking over the conventional internal combustion (IC) engine-based vehicles in many countries around the ...

Nowadays, the world’s biggest concern is environmental pollution, decrease of fossil fuel reserves, and the depletion of conventional energy resources. Internal combustion engine (ICE) vehicles use conventional fossil ...

Due to the large quantity of legal data availability on the internet, and other resources, it is vital for the research groups to carry broad research in the field of legal text processing, which can assist us make sense ...

Social media platforms are not just a source of communicating with each other but also the main source of generating web content like images. Users upload the images along with the tags describing the content of the ...

Human gait enables information about soft biometrics features in multiple scenarios where the environment and visual cues are not known. This characteristic of human gait has numerous application in the field of surveillance, ...

Neural machine translation is a field of research that has gained worldwide interest over the years. It involves the use of deep learning algorithms to translate texts from one language to another. The research in this ...

Heart disease prediction is a critical task in healthcare, aiming to identify individuals at risk and enable timely intervention. In this study, we propose a novel approach that combines a genetic algorithm for feature ...

Human gait is a fascinating subject due to its unique bipedal nature, which encodes valuable information and patterns within its sparse kinematics. Previous research has demonstrated that low-level signals captured by ...

With the increasing number of satellites, remote sensing data is becoming more af fordable. This gratuitously available satellite imagery may be used as source data to map Cultivated and Non-cultivated areas & crops types ...