Results 61 to 70 of about 59,289 (169)

Model transformations in Converge [PDF]

Model transformations are currently the focus of much interest and research due to the OMG’s QVT initiative. Current proposals for model transformation languages\ud can be divided into two main camps: those taking a ‘declarative’ approach, and those opting for an ‘imperative’ approach.
Tratt, Laurence, Clark, Tony
openaire  

A novel image enhancement method via dual-branch coupled Transformer network for underground coalmine

Meitan xuebao
Affected by factors such as few light sources and uneven illumination in underground coalmines, underground images have some problems such as low illumination, presenting many dark areas, blurring or missing detail information, excessive darkness ...
Jian CHENG, Zelong SONG, Hao LI, Yongzhuang MA, Heping LI, Dazhi SUN   +5 more
doaj   +1 more source

Exploring the application of AI in the education of children with autism: a public health perspective

Frontiers in Psychiatry
IntroductionAutism Spectrum Disorder (ASD) presents significant challenges in social communication and interaction, critically impacting the lives of children with ASD.
Liu Lan, Ke Li, Diao Li
doaj   +1 more source

Predictive Maintenance Based on Identity Resolution and Transformers in IIoT

Future Internet
The burgeoning development of next-generation technologies, especially the Industrial Internet of Things (IIoT), has heightened interest in predictive maintenance (PdM).
Zhibo Qi, Lei Du, Ru Huo, Tao Huang
doaj   +1 more source

Large Language Models and Rule-Based Approaches in Domain-Specific Communication

IEEE Access
Currently, we are once again experiencing a frenzy related to artificial intelligence. Generative Pre-trained Transformers (GPT) models are highly effective at various natural language processing tasks.
Dominik Halvonik, Jozef Kapusta
doaj   +1 more source

Assessment of Non-Linear Modeling of Ladle Furnace Transformer Using Finite Element Analysis

Machines
This paper assesses a non-linear model of a three-phase Ladle Furnace Transformer, on slow front transients under no-load conditions. The model is designed to maintain accuracy and reduce complexity in estimating equivalent circuit parameters using three
Virna Costa Onofri, Thales Alexandre Carvalho Maia, Braz J. Cardoso Filho   +2 more
doaj   +1 more source

A Hybrid Convolutional–Transformer Approach for Accurate Electroencephalography (EEG)-Based Parkinson’s Disease Detection

Bioengineering
Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by motor and cognitive impairments. Early detection is critical for effective intervention, but current diagnostic methods often lack accuracy and generalizability ...
Chayut Bunterngchit, Laith H. Baniata, Hayder Albayati, Mohammad H. Baniata, Khalid Alharbi, Fanar Hamad Alshammari, Sangwoo Kang   +6 more
doaj   +1 more source

Degradation Prediction of Proton Exchange Membrane Fuel Cell Based on Multi-Head Attention Neural Network and Transformer Model

Energies
Proton exchange membrane fuel cells are a clean energy technology with wide application in transportation and stationary energy systems. Due to the problem of voltage degradation under long-term dynamic loads, predicting their performance degradation ...
Yikai Tang, Xing Huang, Yanju Li, Haoran Ma, Kai Zhang, Ke Song   +5 more
doaj   +1 more source

Graphical Transformation Models

36 pages, 10 Figures, presented at the DAGStat 2025 in Berlin initially submitted to the Journal of Computational and Graphical ...
Herp, Matthias, Brachem, Johannes, Altenbuchinger, Michael, Kneib, Thomas   +3 more
openaire   +2 more sources

Model transformation synthesis

, 2020
Dataset of model transformation cases and synthesis data.
openaire   +1 more source