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Efficient quantum image representation and compression circuit using zero-discarded state preparation approach
The encoding of images for representation and compression in quantum systems is different from classical ones.
A novel state connection strategy for quantum computing to represent and compress digital images
Due to the twice use of Toffoli gates for each pixel connection still it requires a significant number of bits to connect each pixel value.
Analysis and prediction of heart stroke from ejection fraction and serum creatinine using LSTM deep learning approach
With the availability of a large volume of health care datasets and progressions in deep learning techniques, systems are now well equipped to predict the future trend of any health problems.
Impact analysis of recovery cases due to COVID19 using LSTM deep learning model
The present world is badly affected by novel coronavirus (COVID-19).
Rice Leaf Disease Classification and Detection Using YOLOv5
We have annotate 1500 collected data sets and propose a rice leaf disease classification and detection method based on YOLOv5 deep learning.
Advance quantum image representation and compression using DCTEFRQI approach
Hilbert space or Euclidean space has infinite dimension to locate and process the image data faster.
