Robotics and Intelligent Machines
One of the biggest factors holding intelligent robots back from becoming part of our lives is the difficulty they have navigating the complex and unstructured 3D spaces we live in. This is b…
Robotics and Intelligent Machines
Recent research has shown that neural networks are vulnerable to errors caused by adversarial attacks; when carefully crafted, imperceptible noise is added to inputs, a neural network classi…
Robotics and Intelligent Machines
The purpose of this project was to create a shoe that utilizes a neural network to detect falls as they happen and replicate a step that would be used to widen the base of gravity by moving…
Robotics and Intelligent Machines
Third Award
Glaucoma is the second leading cause of blindness, responsible for 15% percent of the total world blindness. It is a chronic eye disease that damages the optic nerve and causes irreversible…
Robotics and Intelligent Machines
We investigated mechanisms for spatial perception via human skin because of our interest in Human-Machine Interfaces. Although others have studied qualitative data communication, we wanted t…
Robotics and Intelligent Machines
Reliably predicting when and where precipitation will occur can reduce property damage and loss of life. The more accurate this prediction is, the more preparation can be made against these…
Robotics and Intelligent Machines
Fourth Award
Huanglongbing (HLB) is an incurable disease that affects citrus trees. This citrus disease is also often referred to as "citrus greening." This disease was first spotted in China in the earl…
Robotics and Intelligent Machines
Third Award
Breast cancer is the second-leading cause of cancer-related deaths in women globally. Advanced diagnosis of intrinsic molecular subtype is key to evaluating intermediate survival; however, b…
Robotics and Intelligent Machines
ARMY BOT MAHAMMAD ABBASLI Slogan: "People's lives are important". The main idea of my project is to reduce the number of military casualties and keep soldiers alive. Besides this, the follow…
Robotics and Intelligent Machines
Fourth Award
Despite the fact that polar regions are classified as a pivotal position in geology and palaeoenvironment research due to the unique natural conditions and location, the extreme environment…
Robotics and Intelligent Machines
Reinforcement learning is a form of machine learning that trains a digital model by associating a reward value with different actions based on how beneficial they are. Several algorithms hav…
Robotics and Intelligent Machines
Last year, 43.3 million individuals were estimated to be completely blind, while close to 300 million suffered from moderate to severe vision impairment. By 2050, these numbers are predicted…
Robotics and Intelligent Machines
Autism spectrum disorder (ASD) is a developmental disorder that affects communication and behavioral skills. People with ASD show atypical attention to social stimuli and gaze at human faces…
Robotics and Intelligent Machines
The purpose of this project is to develop and compare a set of various neural network architectures to track the location of Muscle Tendon Junction in ultrasound footage. An accurate and eff…
Robotics and Intelligent Machines
The COVID-19 Pandemic is our biggest challenge with already over 100 million infections and 2.4 million deaths globally. Employers are following CDC guidelines by creating mask mandates, req…
Robotics and Intelligent Machines
Skin diseases are classified as fatal and non-fatal types. Some non-fatal types do not need doctor consultation because they can be naturally healed, for example, Atopic Dermatitis which is…
Robotics and Intelligent Machines
Third Award
Breast cancer is the leading cause of cancer deaths among women worldwide, but early detection and diagnosis can significantly improve a patient’s prognosis. Conventionally, biopsy breast ti…
Robotics and Intelligent Machines
Fourth Award
Robust neural networks are crucial for image recognition. However, not all images are equally differentiable. It's easier to differentiate a cat from a tree than from a dog. Most image class…
Robotics and Intelligent Machines
Second Award
Terrorism is one of the most prevalent problems in today’s world, with over 21,000 people killed each year and many others adversely affected as a result of terrorist activity. Terrorist net…
Robotics and Intelligent Machines
This project introduces ComposeGAN as a generative adversarial network that learns and transfers the style elements of tonal music genres. Early attempts at symbolic music style transfer hav…
Robotics and Intelligent Machines
The use of machine learning (ML) and image recognition holds tremendous potential in the treatment of cancers like Lymphoma. Histopathologic images derived from biopsies are used to diagnose…
Robotics and Intelligent Machines
The cost of forestry increases each year. Although there are currently many deep learning studies addressing the issue of tree species classification in the various forestry tasks, the chall…
Robotics and Intelligent Machines
Third Award
Collectively, around 4.1 million tons of pesticides are applied to crops annually, but less than 0.1% is absorbed by target plants, with residue transmitted well out of intended areas into d…
Robotics and Intelligent Machines
Second Award
COVID-19 has infected over 114 million people as of March 1, 2021, pushing the world towards social and economic collapse. With cases rising rapidly and the current gold-standard for diagnos…
Robotics and Intelligent Machines
COVID-19 has caused world-wide disturbances and the deep learning community has been finding ways to combat the disease. Applications of neural networks in image processing tasks allow COVID…
Robotics and Intelligent Machines
Although automated face recognition has extensive real-life applications, in scenarios such as looking for lost or kidnapped children and recognizing ID photos, the pictures of the same pers…
Robotics and Intelligent Machines
Water contamination is one of the most prevalent problems in the world right now. The World Health Organization estimates that, currently, 2 billion people use a contaminated water source. A…
Robotics and Intelligent Machines
The classification of fish through visual inspection can often be a time-consuming and fallible process, and thus, there is a necessity for a fish classification method with greater accuracy…
Robotics and Intelligent Machines
More than 1.7 billion gallons of oil have been spilled since 1940. Oil skimmers are used for the cleanup but today’s skimmers require human aid, exposing people to harmful fumes and the risk…
Robotics and Intelligent Machines
Relevance of the project: Last year I presented a robot that freshens the air at school, but due to an unforeseen situation in the world, it became very important not only to refresh the air…