9 Result(s)
-
Chapter and Conference Paper
Small Visual Object Detection in Smart Waste Classification Using Transformers with Deep Learning
Smart object waste classification is relatively essential for protecting the environment and saving resources. This is considered a vital pathway towards sustainability. In waste classification, we see that it...
-
Chapter and Conference Paper
A Real-Time Kiwifruit Detection Based on Improved YOLOv7
In New Zealand (NZ), agriculture is an essential industry, Kiwifruits contribute significantly to the country’s overall exports. Traditionally Kiwifruits require manually picking up and heavily relies on human...
-
Chapter and Conference Paper
Automatic Bleeding Risk Rating System of Gastric Varices
An automated bleeding risk rating system of gastric varices (GV) aims to predict the bleeding risk and severity of GV, in order to assist endoscopists in diagnosis and decrease the mortality rate of patients w...
-
Chapter and Conference Paper
Vehicle-Related Distance Estimation Using Customized YOLOv7
With the popularity of autonomous driving, the development of ADAS (Advanced Driver Assistance Systems), especially collision avoidance systems, has become an important branch in the field of deep learning. In...
-
Chapter and Conference Paper
A Survey of Deep Learning Based Fully Automatic Bone Age Assessment Algorithms
Bone age assessment (BAA) is a technique for assessing the maturity of individual skeletal development, and it is the most accurate and objective method for assessing the deviation of individual development in...
-
Chapter and Conference Paper
Vehicle-Related Scene Understanding Using Deep Learning
Automated driving is an inevitable trend in future transportation, it is also one of the eminent achievements in the matter of artificial intelligence. Deep learning produces a significant contribution to the ...
-
Chapter and Conference Paper
A Web-Based Augmented Reality Approach to Instantly View and Display 4D Medical Images
In recent years, development in non-invasive and painless medical imaging such as Computed Tomography (CT) or MRI (magnetic resonance imaging), has improved the process of diseases diagnosis and clarification,...
-
Chapter and Conference Paper
Red-Green-Blue Augmented Reality Tags for Retail Stores
In this paper, we introduce a new Augmented Reality (AR) Tag to enhance detection rates, accuracy and also user experiences in marker-based AR technologies. The tag is a colour printed card, divided into three...
-
Chapter and Conference Paper
Early Diagnosis of Alzheimer’s Disease Based on Selective Kernel Network with Spatial Attention
Alzheimer’s disease (AD) is a neurodegenerative disorder which leads to memory and behaviour impairment. Early discovery and diagnosis can delay the progress of this disease. In this paper, we propose a new de...
