A review on AI for smart manufacturing: Deep learning challenges and solutions
Artificial intelligence (AI) has been successfully applied in industry for decades, ranging from
the emergence of expert systems in the 1960s to the wide popularity of deep learning today …
the emergence of expert systems in the 1960s to the wide popularity of deep learning today …
[PDF][PDF] Recent Advances in Concept Drift Adaptation Methods for Deep Learning.
Abstract In the “Big Data” age, the amount and distribution of data have increased wildly and
changed over time in various time-series-based tasks, eg weather prediction, network …
changed over time in various time-series-based tasks, eg weather prediction, network …
Concept drift adaptation methods under the deep learning framework: A literature review
Q **ang, L Zi, X Cong, Y Wang - Applied Sciences, 2023 - mdpi.com
With the advent of the fourth industrial revolution, data-driven decision making has also
become an integral part of decision making. At the same time, deep learning is one of the …
become an integral part of decision making. At the same time, deep learning is one of the …
[HTML][HTML] Application of artificial immune systems in advanced manufacturing
In recent years, the application of Advanced Manufacturing Technologies (AMT) in industrial
processes represents the introduction of different Advanced Manufacturing Systems (AMS) …
processes represents the introduction of different Advanced Manufacturing Systems (AMS) …
Predictive maintenance for offshore oil wells by means of deep learning features extraction
Nowadays, the great diffusion of the Internet of Things and the improvements in Artificial
Intelligence techniques have given a rise in the development and application of data‐driven …
Intelligence techniques have given a rise in the development and application of data‐driven …
Adaptive maintenance scheme for degrading devices with dynamic conditions and random failures
C Duan, P Chen - IEEE Transactions on Industrial Informatics, 2022 - ieeexplore.ieee.org
The estimations of degradation and remaining useful life are important for realizing the
maintenance of modern devices, which generally operate under varying conditions …
maintenance of modern devices, which generally operate under varying conditions …
Automatic measurement of acidity from roasted coffee beans images using efficient deep learning
Sourness is one of the basic yet essential tastes of coffee that is chemically composed of
acids and quantitatively represented in the pH scale. Current tools for measuring the acidity …
acids and quantitatively represented in the pH scale. Current tools for measuring the acidity …
Data optimization in deep learning: A survey
O Wu, R Yao - IEEE Transactions on Knowledge and Data …, 2025 - ieeexplore.ieee.org
Large-scale, high-quality data are considered an essential factor for the successful
application of many deep learning techniques. Meanwhile, numerous real-world deep …
application of many deep learning techniques. Meanwhile, numerous real-world deep …
[HTML][HTML] A survey of deep learning-driven architecture for predictive maintenance
Z Li, Q He, J Li - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Over the past decades, deep learning techniques have attracted increased attention from
various research and industrial domains aligned with the development of Industry Internet-of …
various research and industrial domains aligned with the development of Industry Internet-of …
Classification algorithm for class imbalanced data based on optimized Mahalanobis-Taguchi system
T Mao, L Zhou, Y Zhang, Y Sun - Applied Intelligence, 2022 - Springer
Imbalanced data classification is a challenge in data mining and machine learning. To
improve the classification performance for imbalanced data, this paper proposes an …
improve the classification performance for imbalanced data, this paper proposes an …