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- Reducing the cost of neural network potential generation for reactive molecular... Although machine-learning potentials have recently had substantial impact on molecular simulations, the construction of a robust training set can still become a limiting factor, especially due to the requirement of a reference ab initio simulation that covers all the relevant geometries of the system. Recognizing that this can be prohibitive...
- Atmosphere, Vol. 14, Pages 634: An Ionospheric Total Electron Content Model with... Ionospheric delay has a severe effect on reducing the accuracy of positioning and navigation of single-frequency receivers. Therefore, it is necessary to construct a precise regional ionospheric model for real-time Global Navigation Satellite System (GNSS) applications. The total electron contents (TECs) of 839 GNSS stations affiliated with the GPS Earth...
- Fault Prognosis of Turbofan Engines: Eventual Failure Prediction and Remaining U... In the era of industrial big data, prognostics and health management is essential to improve the prediction of future failures to minimize inventory, maintenance, and human costs. Used for the 2021 PHM Data Challenge, the new Commercial Modular Aero-Propulsion System Simulation dataset from NASA is an open-source benchmark containing simulated...
- A Small-Scale Switch Transformer and NLP-based Model for Clinical Narratives Cla... In recent years, Transformer-based models such as the Switch Transformer have achieved remarkable results in natural language processing tasks. However, these models are often too complex and require extensive pre-training, which limits their effectiveness for small clinical text classification tasks with limited data. In this study, we propose a simplified...
- A circuit mechanism linking past and future learning through shifts in perceptio... Prior learning shifts perception and enhances new memory acquisition by stabilizing activity in competitive neural circuits....
- A circuit mechanism linking past and future learning through shifts in perceptio... Prior learning shifts perception and enhances new memory acquisition by stabilizing activity in competitive neural circuits....
- Convolutional neural networks for real-time wood plank detection and defect segm... Background: Defect detection and segmentation on product surfaces in industry has become one of the most important steps in quality control. There are many sophisticated hardware and software tools used in the industry for this purpose. The need for the real-time classification and detection of defects in industrial quality control...
- Knowledge, Vol. 3, Pages 128-148: Application of Back-Propagation Neural Network... Predicting the post-blast re-entry time precisely can improve productivity and reduce accidents significantly. The empirical formulas for the time prediction are practical to implement, but lack accuracy. In this study, a novel method based on the back-propagation neural network (BPNN) was proposed to tackle the drawbacks. A numerical model was...
- Applied Sciences, Vol. 13, Pages 4116: Application of Data Mining Techniques to... The primary purpose of the analysis presented here is to assess the feasibility of effectively predicting the aggregate luminance coefficient. Current road lighting standards and recommendations are based on assessing the level and distribution of luminance on the road surface. The brightness of a road surface depends on the amount...
- Stay Sharp: Healthy Lifestyle Linked to Slower Memory Decline in Older Adults Even those with genes linked to Alzheimer’s disease see benefits. According to a decade-long study of older adults in China, recently published in The BMJ,......
- Getting started with JAX multi-node applications with NVIDIA GPUs on Google Kube... JAX is a rapidly growing Python library for high-performance numerical computing and machine learning (ML) research. With applications in large language models, drug discovery, physics ML, reinforcement learning, and neural graphics, JAX has seen incredible adoption in the past few years. JAX offers numerous benefits for developers and researchers, including...
- Applied Sciences, Vol. 13, Pages 4064: Research on Fault Diagnosis Algorithm of... The permanent magnet synchronous motor (PMSM) has been used in electric propulsion and other fields. However, it is prone to the stator winding inter-turn short-circuit, and if no effective measures are taken, the ship’s power system will be paralyzed. To realize intelligent diagnosis of inter-turn short circuits, this paper proposes...