Yasas Mahima

UNSW Sydney | UNSW · UNSW Canberra/ Australian Defence Force Academy (ADFA)

In recent years, various domains have been influenced by the rapid growth of machine learning. Autonomous driving is an area that has tremendously developed in parallel with the advancement of machine learning. In autonomous vehicles, various machine learning components are used such as traffic lights recognition, traffic sign recognition, limiting...

Introducing defence mechanisms to overcome the vulnerability of adversarial attacks is a highly focused research area. However recent research highlights that introducing defence approaches for man-made adversarial attacks is not sufficient, because the deep learning models are vulnerable to the perturbations outside the scope of the training set a...

Mosquitoes spread disases such as Dengue and Zika that affect a significant portion of the world population. One approach to hamper the spread of the disases is to identify the mosquitoes’ breeding places. Recent studies use drones to detect breeding sites, due to their low cost and flexibility. In this paper, we investigate the applicability of dr...

We present a machine learning approach that uses a custom Convolutional Neural Network (CNN) for estimating the depth of water pools from multispectral drone imagery. Using drones to obtain this information offers a cheaper, timely, and more accurate solution when compared to alternative methods, such as manual inspection. This information, in turn...

Deep learning networks have demonstrated outstanding performance in 2D and 3D vision tasks. However, recent research demonstrated that these networks result in failures when imperceptible perturbations are added to the input known as adversarial attacks. This phenomenon has recently received increased interest in the field of autonomous vehicles an...

Neural Machine Translation has emerged as a promising approach for language translation. Transformer-based deep learning architectures have also significantly enhanced translation performance across various language pairs. However, several language pairs with limited resources face challenges in adopting Neural Machine Translation because of their...

LiDAR-based 3D perception is a focal point in autonomous vehicle research due to its efficacy in real-world environments and falling costs. However, recent research reveals challenges with LiDAR sensing under corruptions that occur due to adverse weather conditions and sensor-level errors, known as common corruptions. In particular, the majority of...

At present the perception system of autonomous vehicles is grounded on 3D vision technologies along with deep learning to process depth information. Although deep learning models for 3D perception give promising results, recent research demonstrates that they are also vulnerable to adversarial attacks just like deep learning models trained on 2D im...

Mosquitoes spread disases such as Dengue and Zika that affect a significant portion of the world population. One approach to hamper the spread of the disases is to identify the mosquitoes’ breeding places. Recent studies use drones to detect breeding sites, due to their low cost and flexibility. In this paper, we investigate the applicability of dr...

The drone will be a commonly used technology by a significant portion of society, and simulating a given drone dynamic will be an essential requirement. There are drone dynamic simulation models to simulate popular commercial drones. In addition, there are many Newtonian and fluid dynamics-based generic drone dynamic models. However, these models c...

Both Zika and dengue are arboviruses that infect a significant portion of the global populace. Nearly 400 million dengue infections occur annually. Due to severe dengue fever, around half a million individuals need hospitalization and about 36,000 patients pass away every year. There is a dynamic behavior in dengue cases from year to year. In Sri L...

Dengue and Zika are two arboviral viruses that affect a significant portion of the world population. Each year, al- most 400 million dengue infections happen. Due to severe dengue fever, around half a million people each year are in need of hospitalization and about 36.000 people die. Dengue spreads rapidly in densely populated urban areas. The pri...

Though a wide range of domains has been influenced by the rise of deep learning and machine learning technologies, recent research works have identified these intelligent models are vulnerable to intentionally synthesized adversarial perturbations by attackers that are reliable enough to alter the prediction output without appealing a noticeable ch...

Lots of researches have been done on automated vehicles. Moreover, there are some researches done on improving the safety of vehicles. Here most researches on safety areas are done by using electronic and hardware components. As examples lane keep assistant, auto parking, and city break assist can be introduced. However, there are only a limited nu...

AutoML or Automated Machine Learning is a set of tools to reduce or eliminate the necessary skills of a data scientist to build machine learning or deep learning models. Those tools are able to automatically discover the machine learning models and pipelines for the given dataset within very low interaction of the user. This concept was derived bec...

Machine Learning is a subset of Artificial Intelligence(AI). It provides the systems with the ability to learn automatically and perform independently without being programmed. When concentrating on a machine learning project choosing an algorithm is one of the most important steps. Machine learning algorithms are the math and logic that adjust the...

The vehicle population in the world is growing rapidly. Therefore the urban traffic is increasing in proportion. Also, it increases associated problems such as accidents, stress, and pollution. According to the statistics in the Sri Lankan city of Colombo, the average speed of a vehicle would be around 10 km per hour. However to reduce this traffic...

The vehicle population in the world is growing rapidly. Therefore the urban traffic is increasing in proportion. Also, it increases associated problems such as accidents, stress, and pollution. According to the statistics in the Sri Lankan city of Colombo, the average speed of a vehicle would be around 10 km per hour. However to reduce this traffic...

In the rapid growth of information technology(IT) the internet of things (IoT) devices, cloud services, and smart devices play a major role in the healthcare sector and they have led a digital transformation in the présent healthcare services. Digital healthcare services have paved the way for easier and more accessible treatments, and making human...