[HTML][HTML] Machine learning-assisted in-situ adaptive strategies for the control of defects and anomalies in metal additive manufacturing
In metal additive manufacturing (AM), the material microstructure and part geometry are
formed incrementally. Consequently, the resulting part could be defect-and anomaly-free if …
formed incrementally. Consequently, the resulting part could be defect-and anomaly-free if …
Electronic health records and stratified psychiatry: bridge to precision treatment?
The use of a stratified psychiatry approach that combines electronic health records (EHR)
data with machine learning (ML) is one potentially fruitful path toward rapidly improving …
data with machine learning (ML) is one potentially fruitful path toward rapidly improving …
Data-centric foundation models in computational healthcare: A survey
The advent of foundation models (FMs) as an emerging suite of AI techniques has struck a
wave of opportunities in computational healthcare. The interactive nature of these models …
wave of opportunities in computational healthcare. The interactive nature of these models …
Few-shot learning for defect detection in manufacturing
P Zajec, JM Rožanec, S Theodoropoulos… - … Journal of Production …, 2024 - Taylor & Francis
Quality control is being increasingly automatised in the context of Industry 4.0. Its
automatisation reduces inspection times and ensures the same criteria are used to evaluate …
automatisation reduces inspection times and ensures the same criteria are used to evaluate …
Mobile traffic prediction in consumer applications: a multimodal deep learning approach
W Jiang, Y Zhang, H Han, Z Huang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Mobile traffic prediction is an important yet challenging problem in consumer applications
because of the dynamic nature of user behavior, varying application quality of service (QoS) …
because of the dynamic nature of user behavior, varying application quality of service (QoS) …
Advancing deep learning-based acoustic leak detection methods towards application for water distribution systems from a data-centric perspective
Against the backdrop of severe leakage issue in water distribution systems (WDSs),
numerous researchers have focused on the development of deep learning-based acoustic …
numerous researchers have focused on the development of deep learning-based acoustic …
Tactical Forwarder Planning: A Data-Driven Approach for Timber Forwarding
Tactical planning in timber harvesting involves aspects related to forest macro-planning and,
particularly, the allocation of resources and sequencing of activities, all of which affect the …
particularly, the allocation of resources and sequencing of activities, all of which affect the …
Data Collection, data mining and transfer of learning based on customer temperament-centered complaint handling system and one-of-a-kind complaint handling …
One of the most significant sources of information from customers is customer complaints.
Successful and effective complaint management can end complaint crises and ensure client …
Successful and effective complaint management can end complaint crises and ensure client …
[PDF][PDF] SenticVec: Toward Robust and Human-Centric Neurosymbolic Sentiment Analysis
Recent developments in natural language processing were enabled by deep neural
networks, which excel in various tasks through strong data fitting and latent feature modeling …
networks, which excel in various tasks through strong data fitting and latent feature modeling …
Effect of Text Augmentation and Adversarial Training on Fake News Detection
The action of spreading false information through fake news articles presents a significant
danger to society because it has the ability to shape public opinion with inaccurate facts …
danger to society because it has the ability to shape public opinion with inaccurate facts …