Heterogeneous catalysis mediated by light, electricity and enzyme via machine learning: paradigms, applications and prospects
W Zhang, W Huang, J Tan, Q Guo, B Wu - Chemosphere, 2022 - Elsevier
Energy crisis and environmental pollution have become the bottleneck of human
sustainable development. Therefore, there is an urgent need to develop new catalysts for …
sustainable development. Therefore, there is an urgent need to develop new catalysts for …
[HTML][HTML] Deep learning based detection of monkeypox virus using skin lesion images
As we set into the second half of 2022, the world is still recovering from the two-year COVID-
19 pandemic. However, over the past three months, the outbreak of the Monkeypox Virus …
19 pandemic. However, over the past three months, the outbreak of the Monkeypox Virus …
Mask R-CNN based droplet detection in liquid–liquid systems, Part 2: Methodology for determining training and image processing parameter values improving droplet …
Multiphase systems occur in many technical processes, eg, crystallization, gas–liquid
reaction, and liquid–liquid extraction. Operating such processes requires knowledge of fluid …
reaction, and liquid–liquid extraction. Operating such processes requires knowledge of fluid …
A survey of mix-based data augmentation: Taxonomy, methods, applications, and explainability
Data augmentation (DA) is indispensable in modern machine learning and deep neural
networks. The basic idea of DA is to construct new training data to improve the model's …
networks. The basic idea of DA is to construct new training data to improve the model's …
Improved lightweight YOLOv5 using attention mechanism for satellite components recognition
C Li, G Zhao, D Gu, Z Wang - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Recognizing typical components of the satellite is a challenging task for on-orbit services.
This article proposes a YOLOv5-based satellite components recognition model (YSCRM) on …
This article proposes a YOLOv5-based satellite components recognition model (YSCRM) on …
GraphMAD: Graph mixup for data augmentation using data-driven convex clustering
We develop a novel data-driven nonlinear mixup mechanism for graph data augmentation
and present different mixup functions for sample pairs and their labels. Mixup is a data …
and present different mixup functions for sample pairs and their labels. Mixup is a data …
A Dual-View Style Mixing Network for unsupervised cross-domain fault diagnosis with imbalanced data
The remarkable progress of cross-domain fault diagnosis is based on the balanced
distribution of different health conditions in a supervised manner. However, in engineering …
distribution of different health conditions in a supervised manner. However, in engineering …
Image augmentation approaches for small and tiny object detection in aerial images: a review
U Nisa - Multimedia Tools and Applications, 2024 - Springer
The task of detecting small and tiny objects has not shown significant performance
improvement compared to detecting medium and large objects, even with advanced …
improvement compared to detecting medium and large objects, even with advanced …
[HTML][HTML] Spatial point patterns generation on remote sensing data using convolutional neural networks with further statistical analysis
R Kosarevych, O Lutsyk, B Rusyn, O Alokhina… - Scientific Reports, 2022 - nature.com
Continuous technological growth and the corresponding environmental implications are
triggering the enhancement of advanced environmental monitoring solutions, such as …
triggering the enhancement of advanced environmental monitoring solutions, such as …
Accelerating the discovery of direct bandgap doped-spinel photovoltaic materials: A target-driven approach using interpretable machine learning
C Liu, Z Chen, C Ding, S Jin, J Wang, J Feng… - Solar Energy Materials …, 2024 - Elsevier
The spinel structure, unifying tetrahedral and octahedral coordination within a single crystal
lattice, emerges as a promising alternative to perovskite and traditional semiconductors …
lattice, emerges as a promising alternative to perovskite and traditional semiconductors …