Cross‐Modal Characterization of Thin‐Film MoS2 Using Generative Models
Cross‐modal learning is evaluated using atomic force microscopy (AFM), Raman spectroscopy, and photoluminescence spectroscopy (PL) through unsupervised learning, regression, and autoencoder models. Autoencoder models are used to generate spectroscopy data from the microscopy images.
Isaiah A. Moses +3 more
wiley +1 more source
A hybrid framework of statistical, machine learning, and explainable AI methods for school dropout prediction. [PDF]
Khatun MR, Mim MA, Tasin MM, Hossain MM.
europepmc +1 more source
Identifying non‐small cell lung cancer (NSCLC) subtypes is essential for precision cancer treatment. Conventional methods are laborious, or time‐consuming. To address these concerns, RPSLearner is proposed, which combines random projection and stacking ensemble learning for accurate NSCLC subtyping. RPSLearner outperforms state‐of‐the‐art approaches in
Xinchao Wu, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Early school dropouts in developing countries: An integer approach to guide intervention. The case of Uruguay [PDF]
Are early leavers from the education system irrational or ill informed? They might be, but this approach shows that with underperforming education sectors – typical in developing countries – early dropout may be perfectly rational and well informed, even
Rossana Patrón
core
To address the problems of insufficient utilization of multiscale features and inefficient feature sharing between tasks in the model, this study proposes an edge‐enhanced intelligent cervical cancer screening method that achieves feature reuse and improves efficiency by jointly optimizing nucleolus segmentation and lesion classification.
Li Wen +4 more
wiley +1 more source
What school-based interventions work to improve attendance in secondary school students with persistent absence? A systematic review. [PDF]
Middleton A, Watson M, Anderson JK.
europepmc +1 more source
Is the GED an Effective Route to Postsecondary Education for School Dropouts? [PDF]
We use data from the Texas Schools Microdata Panel (TSMP) to examine the extent to which dropouts use the GED as a route to post-secondary education. The paper develops a model pointing out the potential biases in estimating the effects of taking the ...
Lofstrom, Magnus, Tyler, John
core
Mental health issues and university student dropouts [PDF]
openaire +2 more sources
A CRDNet‐Based Watermarking Algorithm for Fused Visible–Infrared Images
CRDnet includes encoders and decoders based on residual and dense structures, a fusion network robust to 12 visible and infrared image fusion algorithms, and predictors for predicting watermarked infrared images. The encoder and decoder incorporate preprocessing steps, attention mechanisms, and activation functions suitable for infrared images.
Yu Bai +4 more
wiley +1 more source
Dataset on higher education access and population distribution in seven campuses in Colombia. [PDF]
Valencia-Garcia MC +2 more
europepmc +1 more source

