Machine learning and internet of things applications in enterprise architectures: Solutions, challenges, and open issues
The rapid growth of the Internet of Things (IoT) has led to its widespread adoption in various
industries, enabling enhanced productivity and efficient services. Integrating IoT systems …
industries, enabling enhanced productivity and efficient services. Integrating IoT systems …
An ensemble of deep transfer learning models for handwritten music symbol recognition
In ancient times, there was no system to record or document music. A basic notation system
to write European music was formulated around 14th century in the Baroque period which …
to write European music was formulated around 14th century in the Baroque period which …
A survey on capsule networks: Evolution, application, and future development
J Li, Q Zhao, N Li, L Ma, X **a, X Zhang… - … Conference on High …, 2021 - ieeexplore.ieee.org
Capsule networks have drawn increasing attention since the concept is proposed in 2011.
They hold advantages over convolutional neural networks (CNNs) on modeling part-to …
They hold advantages over convolutional neural networks (CNNs) on modeling part-to …
Multi-scale adaptive-routing capsule contrastive network-based intelligent fault diagnosis method for rotating machinery under noisy environment and labels
Y **ong, Z Liu, J Tan, L Hao - Advanced Engineering Informatics, 2024 - Elsevier
The robustness and accuracy of fault diagnosis are affected by noisy environment and
labels from manual annotation errors in vibration signal data collected during the operation …
labels from manual annotation errors in vibration signal data collected during the operation …
Towards feasible capsule network for vision tasks
Capsule networks exhibit the potential to enhance computer vision tasks through their
utilization of equivariance for capturing spatial relationships. However, the broader adoption …
utilization of equivariance for capturing spatial relationships. However, the broader adoption …
Novel hybrid classifier based on fuzzy type-III decision maker and ensemble deep learning model and improved chaos game optimization
This paper presents a unique hybrid classifier that combines deep neural networks with a
type-III fuzzy system for decision-making. The ensemble incorporates ResNet-18, Efficient …
type-III fuzzy system for decision-making. The ensemble incorporates ResNet-18, Efficient …
An improved capsule network based on capsule filter routing
W Wang, F Lee, S Yang, Q Chen - IEEE Access, 2021 - ieeexplore.ieee.org
Capsule network (CapsNet) is a novel type of network that can retain spatial information,
because each capsule can integrate more information than scalar-output features. However …
because each capsule can integrate more information than scalar-output features. However …
H-CapsNet: A capsule network for hierarchical image classification
In this paper, we present H-CapsNet, a capsule network for hierarchical image classification.
Our network makes use of the natural capacity of CapsNets (capsule networks) to capture …
Our network makes use of the natural capacity of CapsNets (capsule networks) to capture …
Multi-lane capsule network architecture for detection of COVID-19
The COVID-19 pandemic in the world has given rise to a lot of research done in the field of
medical imaging using deep learning and artificial intelligence methods for the detection …
medical imaging using deep learning and artificial intelligence methods for the detection …
Alzheimer's Disease Classification using Capsule Network
The most prevalent type of dementia is Alzheimer's disease, which impairs thinking,
memory, and communication abilities. Better patient treatment is made possible with early …
memory, and communication abilities. Better patient treatment is made possible with early …