Computer aided categorization of smear images are considered as an open problem for a
last few decades. Cervical cancer is the main cause of mortality among women population …

Capturing time and frequency relationships of time series signals offers an inherent barrier
for automatic human activity recognition (HAR) from wearable sensor data. Extracting …

Improving the quality of medical images is helpful for doctors to perform clinical diagnosis
and treatment. Many medical image enhancement methods can achieve good performance …

The traditional incomplete Beta function has low parameter selection efficiency in image
enhancement, and the adjustable range of parameters is small when stretching the area …

Blind image quality assessment is a challenging task particularly due to the unavailability of
reference information. Training a deep neural network requires a large amount of training …

In the contemporary landscape, the imperative for cost-effective solutions is paramount,
especially when dealing with extensively large dimensional datasets like gene expression …

An improved adaptive genetic algorithm is proposed for solving 3-SAT problems based on
effective restart and greedy strategy in this paper. Several new characteristics of the …

In order to classify the liver CT images and make the initial weight of the convolution neural
network to the optimal state. We propose a method of combine the genetic algorithm and …

Refractive index matching (RIM) is often used for flow measurement in porous media studies
that use optical techniques. However, the refractive index of transparent porous media, often …

Dental x-ray radiography is often done with low radiation dosage which results in a slightly
dark, low in contrast and noisy x-ray image. The quality of dental radiograph is low due to …