Modern day computer vision tasks requires efficient solution to problems such as image
recognition, natural language processing, object detection, object segmentation and …

Modern day computer vision tasks requires efficient solution to problems such as image
recognition, natural language processing, object detection, object segmentation and …

A capsule network (CapsNet) is a recently proposed neural network model with a new
structure. The purpose of CapsNet is to form activation capsules. In this paper, our team …

The Brain cancer is the most dangerous and found commonly in multitude of people in the
younger stage and the adolescent stages. The early stage identification about the tumors in …

Recent advancements in machine learning and signal processing domains have resulted in
an extensive surge of interest in Deep Neural Networks (DNNs) due to their unprecedented …

The use of machine learning (ML) is on the rise in many sectors of software development,
and automotive software development is no different. In particular, Advanced Driver …

Numerous advancements in various fields, including pattern recognition and image
classification, have been made thanks to modern computer vision and machine learning …

Capsule Network (CapsNet) is a novel structure for deep neural network, mapping the
region of target instance to vectors and matrices rather than scalars. This process is enabled …

Capsule Network is a novel and promising neural network in the field of deep learning,
which has shown good performance in image classification by encoding features into …

Capsule network (CapsNet) is a novel concept demonstrating the importance of learning
spatial hierarchical relationship between features for the effective recognition of images …