Backpropagation in CNN is one of the very difficult concept to understand. And I have seen very few people actually producing ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Deep learning-based object identification technology has numerous uses, including facial recognition, commercial analytics, and medical imaging analysis. An object detector has a backbone for ...

Accurate and early disease detection from chest X-ray (CX-ray) images is crucial for effective clinical decision-making. This study proposes a novel Ensemble Hybrid Recurrent Transformer-Based Random ...

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Leachate leakages from municipal landfills are significant environmental problems that threaten groundwater and soil resources. Geophysical techniques, such as the self-potential (SP) method, are ...

As the demand for high-reliability and low-latency communication grows, short packet transmission has emerged as a key area of research. Recently, sparse superposition codes (SSCs) have shown ...

One of the most common and well-known conditions is glaucoma, but patients, especially those over 60, may lose their vision if the condition is left untreated or misdiagnosed. In the proposed work, we ...

The Internal Clutter Motion (ICM) results in an expansion of the clutter Doppler spectrum. With conventional waveforms, the presence of range ambiguity causes short-range strong clutter with ICM to be ...

To address this, we propose an image fusion algorithm based on frequency enhancement and shared tensor dictionary learning. This approach learns a shared multidimensional tensor dictionary for sparse ...