[Free GPT-4]
Vision-based online defect recognition can provide insights for laser welding quality control
systems. Although the visual signal contains richer quality information than the one …
systems. Although the visual signal contains richer quality information than the one …
Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM
With the proliferation of image-based applications in various domains, the need for accurate
and interpretable image similarity measures has become increasingly critical. Existing …
and interpretable image similarity measures has become increasingly critical. Existing …
On understanding of spatiotemporal prediction model
Recently, explainable artificial intelligence has received considerable attention. Most
existing studies are focusing on the tasks of CNNs-based image classification and RNNs …
existing studies are focusing on the tasks of CNNs-based image classification and RNNs …
Sparse convolutional model with semantic expression for waste electrical appliances recognition
HG Han, YM Liu, FY Li, YP Du - Science China Technological Sciences, 2024 - Springer
Deep neural networks play an important role in the recognition of waste electrical
appliances. However, deep neural network components still lack reliability in decision …
appliances. However, deep neural network components still lack reliability in decision …
The interpretability of the activity signal detection model for wood‐boring pests Semanotus bifasciatus in the larval stage
X Liu, Z Chen, H Zhang, J Li, Q Jiang… - Pest Management …, 2023 - Wiley Online Library
Background The acoustic detection model of activity signals based on deep learning could
detect wood‐boring pests accurately and reliably. However, the black‐box characteristics of …
detect wood‐boring pests accurately and reliably. However, the black‐box characteristics of …
Computational prediction of ω-transaminase selectivity by deep learning analysis of molecular dynamics trajectories
C Ramírez-Palacios, SJ Marrink - QRB discovery, 2023 - cambridge.org
We previously presented a computational protocol to predict the enzymatic (enantio)
selectivity of an ω-transaminase towards a set of ligands (Ramírez-Palacios et al.(2021) …
selectivity of an ω-transaminase towards a set of ligands (Ramírez-Palacios et al.(2021) …
Chain: Concept-harmonized hierarchical inference interpretation of deep convolutional neural networks
With the great success of networks, it witnesses the increasing demand for the interpretation
of the internal network mechanism, especially for the net decision-making logic. To tackle …
of the internal network mechanism, especially for the net decision-making logic. To tackle …