Deep learning (DL) models are currently not widely deployed for critical tasks such as in
health. This is attributable to the" black box", making it difficult to gain the trust of …

Capsule networks (CapsNets), which incorporate the paradigms of connectionism and
symbolism, have brought fresh insights into artificial intelligence (AI). The capsule, as the …

Wireless local-area network (WLAN) sensing offers advantages over other approaches to
human activity recognition (HAR) for Internet of Things (IoT) applications, including privacy …

In recent decades, security threats have posed a high risk to an organization, which is
associated with the proliferation of IoT devices and increasing organizational assets. This …

Abstract Some Deep Neural Networks (DNN) have what we call lanes, or they can be
reorganized as such. Lanes are paths in the network which are data-independent and …

Colorectal cancer is the third most diagnosed malignancy in the world. Polyps (either
malignant or benign) are the primary cause of colorectal cancer. However, the diagnosis is …

Capsule networks (CapsNets) are capable of modeling visual hierarchical relationships,
which is achieved by the “routing-by-agreement” mechanism. This paper proposes a …

Convolutional neural networks (CNNs) for automatic classification and medical image
diagnosis have recently displayed a remarkable performance. However, the CNNs fail to …

Capsule networks (CapsNets) is a commonly used neural network structure, especially in
computer vision research., which may have a significant impact on deep learning …

With tremendous research growth in machine learning domains and specifically deep
learning models, there has been a lot of advancements pertaining to this field in the recent …