The field of computer vision is experiencing a great-leap-forward development today. This
paper aims at providing a comprehensive survey of the recent progress on computer vision …

Breast Cancer is most popular and growing disease in the world. Breast Cancer is mostly
found in the women. Early detection is a way to control the breast cancer. There are many …

Few-shot learning is a fundamental task in computer vision that carries the promise of
alleviating the need for exhaustively labeled data. Most few-shot learning approaches to …

Object detection plays a critical role in the field of computer vision, and various researches
have rapidly increased along with applying convolutional neural network and its modified …

We develop a transductive meta-learning method that uses unlabelled instances to improve
few-shot image classification performance. Our approach combines a regularized …

Advances in applied machine learning techniques for neuroimaging have encouraged
scientists to implement models to diagnose brain disorders such as Alzheimer's disease at …

Abstract Convolutional Neural Networks (CNNs) have made a great impact on attaining
state‐of‐the‐art results in image task classification. Weight initialization is one of the …

We present a wearable system to detect body postures and gestures that does not require
sensors to be firmly fixed to the body or integrated into a tight-fitting garment. The sensing …

Manufacturing industries strive to improve production efficiency and product quality by
deploying advanced sensing and control systems. Wearable sensors are emerging as a …

Deep Learning algorithms (DL) have been applied in different domains such as computer
vision, image detection, robotics and speech processing, in most cases, DL demonstrated …