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Semiconductor Engineering2d
Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing (Infineon, U. Padova et al.)
A new technical paper titled “Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing” was ...
C&EN16d
Model Discrimination Using Data Collaboration
The approach centers around a computable measure of model/data mismatch. We introduce two provably convergent algorithms that were developed to accommodate large ranges of uncertainty in the model ...
Frontiers19d
Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China
A stratified random sampling method was employed within each species, with 80% of each tree species randomly selected as the training data set and ... further verify the model, enabling the use of ...
TechCrunch20d
DeepSeek may have used Google’s Gemini to train its latest model
Last week, Chinese lab DeepSeek released an updated version of its R1 reasoning AI model that performs well on a number of math and coding benchmarks. The company didn’t reveal the source of the ...
IEEE20d
A Reliable Segmentation Model for Limited Medical Image Datasets With Attention Mechanism and Kolmogorov–Arnold Networks
These two modules enhance the robustness of the model and improves its generalization across varied input data. Finally, we train multiple state-of-the-art models on multiple datasets using 100%, 20%, ...
IEEE23d
Waste Classification System using a Hybrid Deep Transfer Learning Model
These models are evaluated using various quantitative parameters. It is observed that MobileNetV2 classified waste at 96% accuracy, whereas other models performed slightly better with 97% ...