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Digital twin: current research trends and future directions
KK Alnowaiser, MA Ahmed - Arabian Journal for Science and Engineering, 2023 - Springer
Cyber physical systems, as a backbone of the Fourth Industrial Revolution (IR 4.0), and all
their enabling technologies introduced a relatively newer concept named the digital twin …
their enabling technologies introduced a relatively newer concept named the digital twin …
Photonic neuromorphic architecture for tens-of-task lifelong learning
Scalable, high-capacity, and low-power computing architecture is the primary assurance for
increasingly manifold and large-scale machine learning tasks. Traditional electronic artificial …
increasingly manifold and large-scale machine learning tasks. Traditional electronic artificial …
[HTML][HTML] Artificial intelligence-driven real-world battery diagnostics
Addressing real-world challenges in battery diagnostics, particularly under incomplete or
inconsistent boundary conditions, has proven difficult with traditional methodologies such as …
inconsistent boundary conditions, has proven difficult with traditional methodologies such as …
The role of lifelong machine learning in bridging the gap between human and machine learning: A scientometric analysis
Due to advancements in data collection, storage, and processing techniques, machine
learning has become a thriving and dominant paradigm. However, one of its main …
learning has become a thriving and dominant paradigm. However, one of its main …
Knowledge extraction and retention based continual learning by using convolutional autoencoder-based learning classifier system
An ideal artificial intelligence-based autonomous system, interacting with a dynamic
environment, is required to learn continuously as human do. Human beings retain the …
environment, is required to learn continuously as human do. Human beings retain the …
[HTML][HTML] Machine Learning application using cost-effective components for predictive maintenance in industry: A tube filling machine case study
D Natanael, H Sutanto - Journal of Manufacturing and Materials …, 2022 - mdpi.com
Maintenance is an activity that cannot be separated from the context of product
manufacturing. It is carried out to maintain the components' or machines' function so that no …
manufacturing. It is carried out to maintain the components' or machines' function so that no …
Mldemon: Deployment monitoring for machine learning systems
Post-deployment monitoring of ML systems is critical for ensuring reliability, especially as
new user inputs can differ from the training distribution. Here we propose a novel approach …
new user inputs can differ from the training distribution. Here we propose a novel approach …
A novel lifelong learning model based on cross domain knowledge extraction and transfer to classify underwater images
Artificial intelligence based autonomous systems interacting with dynamic environment are
required to continuously learn, accumulate and improve the learned knowledge. Currently …
required to continuously learn, accumulate and improve the learned knowledge. Currently …
Data-driven malware detection for 6G networks: A survey from the perspective of continuous learning and explainability via visualisation
5G is inherently prone to security vulnerabilities. We witness that many today's networks
contain 5G security flaws due to their reliance on the existing 4G network core. A lack of …
contain 5G security flaws due to their reliance on the existing 4G network core. A lack of …
Brain inspired lifelong learning model based on neural based learning classifier system for underwater data classification
The general benchmark for success of an artificial intelligence system is its ability to imitate
learning of the human brain. The human brain is capable of continuous learning over a …
learning of the human brain. The human brain is capable of continuous learning over a …