In this section, the simulation results for two examples of DDEMs in the multivariate setting with single and multiple delays are discussed and presented, respectively, based on the proposed developed methodology in Sect. “Proposed…
Category: 7. Maths
-
Content oriented 3D-CNN sequence learning architecture for academic activities recognition using a realistic CAD dataset
Sedik, A., Marey, M. & Mostafa, H. An adaptive fatigue detection system based on 3D CNNs and ensemble models. Symmetry 15(6), 1274 (2023).
Google Scholar
Shafik, W., Matinkhah, S. M. & Shokoor, F….
Continue Reading
-
Evaluation forest educational boards based on eye tracking analysis in a pilot study
Ciesielski, M. & Stereńczak, K. What do we expect from forests? The European view of public demands. J. Environ. Manag. 209, 139–151. https://doi.org/10.1016/j.jenvman.2017.12.032 (2018).
Google Scholar
…Continue Reading
-
Multidimensional reference regions is a new tool to optimize the personalized care of patients
Database
We utilized an American database (https://wwwn.cdc.gov/Nchs/Nhanes/) curated by the Centers for Disease Control and Prevention, comprising biological data spanning from 1999 to 2017. This study was not submitted to an institutional review…
Continue Reading
-
A multimodal deep reinforcement learning approach for IoT-driven adaptive scheduling and robustness optimization in global logistics networks
Multimodal data fusion framework
Effective decision-making in global logistics networks requires comprehensive situational awareness derived from diverse data sources spanning physical assets, digital systems, and business operations. This section…
Continue Reading
-
Application of deep reinforcement learning in parameter optimization and refinement of turbulence models
Framework
The research framework of this article is shown in Fig. 1.
Fig. 1 Research framework of this article.
The OpenFOAM is used to implement SST k-ω turbulence model, and boundary conditions, mesh type, quantity, etc., are set. Using the SST…
Continue Reading
-
Highly parallel optimisation of chemical reactions through automation and machine intelligence
Overview of optimisation pipeline
In our optimisation process, often involving reactions with sparse historical data, we prioritised thoroughly exploring a large set of categorical variables. From chemical experience, categorical variables such as…
Continue Reading
-
An investigation of simple neural network models using smartphone signals for recognition of manual industrial tasks
The challenge of Human Activity Recognition (HAR) encompasses the automatic identification and classification of human activities using various types of sensory data. The primary objective of HAR is to map sequences of input data to specific…
Continue Reading
-
Steel surface defect detection method based on improved YOLOv9
We presented the performance of various algorithms in detecting different types of surface defects, clearly illustrating the detection capabilities and accuracy of each algorithm through a series of visualized images. These images intuitively…
Continue Reading
-
An enhanced YOLOv8 model for accurate detection of solid floating waste
Overview of the enhanced YOLOv8 network
YOLOv8, an open source release by Ultralytics in 2023, represents a major update after YOLOv5. As one of the most advanced object detection algorithms available, YOLOv8 features a lightweight design, high…
Continue Reading