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Found 12 papers, 4 papers with code
Generative Artificial Intelligence: A Systematic Review and Applications
In recent years, the study of artificial intelligence (AI) has undergone a paradigm shift.
Automatic Classification of Blood Cell Images Using Convolutional Neural Network
The proposed CNN model has been tested on the PBC dataset normal DIB.
Classification of White Blood Cells Using Machine and Deep Learning Models: A Systematic Review
The methodologies that use blood smear images, magnetic resonance imaging (MRI), X-rays, and similar medical imaging domains are identified and discussed, with a detailed analysis of ML/DL techniques applied to the classification of white blood cells (WBCs) representing the primary focus of the review.
Auxiliary Label Embedding for Multi-label Learning with Missing Labels
Label correlation has been exploited for multi-label learning in different ways.
Multi-label learning with missing labels using sparse global structure for label-specific features
Multi-label learning associates a given data instance with one or several class labels.
Discriminatory Label-specific Weights for Multi-label Learning with Missing Labels
Class labels in multi-label datasets are only associated with a very small fraction of the data instances leading to a class imbalance problem.
Low rank label subspace transformation for multi-label learning with missing labels
The proposed method captures local and global correlations using Low Rank label subspace transformation for Multi-label learning with Missing Labels (LRMML).
Design and Evaluation of Reconfigurable Intelligent Surfaces in Real-World Environment
These results, among others, draw useful insights into the design and performance of RIS systems and provide an important proof for their potential gains in real-world far-field wireless communication environments.
Investigation of lightweight acoustic curtains for mid-to-high frequency noise insulations
Also, the acoustic performance of multi-layer curtains has been investigated.
Self Training with Ensemble of Teacher Models
We perform several experiments on the popular STL-10 database followed by an extensive analysis of our approach and study its effects on model accuracy and calibration.
Experimental investigations of psychoacoustic characteristics of household vacuum cleaners
Vacuum cleaners are one of the most widely used household appliances associated with unpleasant noises.
Audio and Speech Processing Sound
Experimental investigations of acoustic curtains for hospital environment noise mitigations
The continuous increase of hospital noise levels has become a vital challenge for society.
Applied Physics
