Machine learning is used for extraction of valuable information from data thus helping in exploration of hidden patterns, leading to learning models that can be used for prediction. In the domain of autonomous vehicles ...

This thesis presents a novel method for EEG classification in time-frequency domain using deep learning architecture. Existing deep learning architectures suffer from poor performance when classifying EEG data in Time-frequency ...

In cooperative robotics, the maintenance of a geometric structure during movement is a key challenge. A multi-layered and distributed control system based on the leader–follower technique is proposed as a solution for the ...

Using the DNA methylation data present in The Cancer Genome Atlas, we propose a new data preprocessing method where we use the caner driver genes to extract the relevant features from the data. After the preprocessing step ...

Maritime accidents occur due to the accumulation of various contributing factors that happened in the sequence. The nature of these tributary factors can be either latent or active. The maritime accident ought to be ...

In the present era, human-machine collaboration is increasing each day with more applications of ergonomics and human factors in industrial and socio-technical environments. This has amplified the need for human factors ...

Traffic demand increases day by day and leads to traffic congestion problem in big cities. One solution is to build new traffic infrastructure that might cause a huge burden on country’s economy. Another solution is to ...

This system is being designed to ensure a safe and smooth flow of traffic on roads of Pakistan. As static cameras do not serve the purpose completely, this system is based on dashboard camera video/image processing to ...

This project is aimed to provide mobility to such patients which suffers from different physical disabilities such as Amyotrophic Lateral Sclerosis (ALS) in which body is neck down fully paralyzed like in the case of ...

Automated vertebrae analysis from medical images plays an important role in computer aided diagnosis (CAD). It provides an initial and early identification of various vertebral abnormalities to doctors and radiologists. ...